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• affiliation:University of Texas at Austin, Cockrell School of Engineering, TX, USA
• affiliation (former):Texas A&M University, College Station, TX, USA
• affiliation (PhD 2016):University of Illinois Urbana-Champaign, Urbana, IL, USA

• 2025
• 
  [j66]
  Wenqing Zheng,S. P. Sharan,Zhiwen Fan,Kevin Wang,Yihan Xi,Zhangyang Wang:
  Symbolic Visual Reinforcement Learning: A Scalable Framework With Object-Level Abstraction and Differentiable Expression Search.IEEE Trans. Pattern Anal. Mach. Intell.47(1):400-412 (2025)
• 
  [c328]
  Zhangheng Li,Tianlong Chen,Linyi Li,Bo Li,Zhangyang Wang:
  Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study.AAAI2025:5084-5091
• 
  [c327]
  Min Jin Chong,Dejia Xu,Yi Zhang,Zhangyang Wang,David A. Forsyth,Gurunandan Krishnan,Yicheng Wu,Jian Wang:
  Copy or Not? Reference-Based Face Image Restoration with Fine Details.WACV2025:9660-9669
• 
  [i354]
  Peihao Wang,Ruisi Cai,Yuehao Wang,Jiajun Zhu,Pragya Srivastava,Zhangyang Wang,Pan Li:
  Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing.CoRRabs/2501.00658 (2025)
• 
  [i353]
  Jiajun Zhu,Peihao Wang,Ruisi Cai,Jason D. Lee,Pan Li,Zhangyang Wang:
  Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding.CoRRabs/2501.00712 (2025)
• 
  [i352]
  Wenyan Cong,Kevin Wang,Jiahui Lei,Colton Stearns,Yuanhao Cai,Dilin Wang,Rakesh Ranjan,Matt Feiszli,Leonidas J. Guibas,Zhangyang Wang,Weiyao Wang,Zhiwen Fan:
  VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment.CoRRabs/2501.01949 (2025)
• 
  [i351]
  Tianjin Huang,Ziquan Zhu,Gaojie Jin,Lu Liu,Zhangyang Wang,Shiwei Liu:
  SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training.CoRRabs/2501.06842 (2025)
• 
  [i350]
  Li Yin,Zhangyang Wang:
  LLM-AutoDiff: Auto-Differentiate Any LLM Workflow.CoRRabs/2501.16673 (2025)
• 
  [i349]
  Junbo Li,Zhangyang Wang,Qiang Liu:
  PIPA: Preference Alignment as Prior-Informed Statistical Estimation.CoRRabs/2502.05773 (2025)
• 
  [i348]
  Yang Luo,Xuanlei Zhao,Mengzhao Chen,Kaipeng Zhang,Wenqi Shao,Kai Wang,Zhangyang Wang,Yang You:
  Enhance-A-Video: Better Generated Video for Free.CoRRabs/2502.07508 (2025)
• 
  [i347]
  Shrey Pandit,Jiawei Xu,Junyuan Hong,Zhangyang Wang,Tianlong Chen,Kaidi Xu,Ying Ding:
  MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models.CoRRabs/2502.14302 (2025)
• 
  [i346]
  Tianjin Huang,Haotian Hu,Zhenyu Zhang,Gaojie Jin,Xiang Li,Li Shen,Tianlong Chen,Lu Liu,Qingsong Wen,Zhangyang Wang,Shiwei Liu:
  Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam.CoRRabs/2502.17055 (2025)
• 
  [i345]
  Yaxuan Kong,Yiyuan Yang,Yoontae Hwang,Wenjie Du,Stefan Zohren,Zhangyang Wang,Ming Jin,Qingsong Wen:
  Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement.CoRRabs/2503.01875 (2025)
• 
  [i344]
  Xiaotian Han,Tianlong Chen,Kaixiong Zhou,Zhimeng Jiang,Zhangyang Wang,Xia Ben Hu:
  You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time.CoRRabs/2503.07066 (2025)
• 
  [i343]
  Mingjia Shi,Ruihan Lin,Xuxi Chen,Yuhao Zhou,Zezhen Ding,Pingzhi Li,Tong Wang,Kai Wang,Zhangyang Wang,Jiheng Zhang,Tianlong Chen:
  Make Optimization Once and for All with Fine-grained Guidance.CoRRabs/2503.11462 (2025)
• 
  [i342]
  Jianzhu Yao,Kevin Wang,Ryan Hsieh,Haisu Zhou,Tianqing Zou,Zerui Cheng,Zhangyang Wang,Pramod Viswanath:
  SPIN-Bench: How Well Do LLMs Plan Strategically and Reason Socially?CoRRabs/2503.12349 (2025)
• 
  [i341]
  Laura Balzano,Tianjiao Ding,Benjamin D. Haeffele,Soo Min Kwon,Qing Qu,Peng Wang,Zhangyang Wang,Can Yaras:
  An Overview of Low-Rank Structures in the Training and Adaptation of Large Models.CoRRabs/2503.19859 (2025)
• 
  [i340]
  Shijie Zhou,Hui Ren,Yijia Weng,Shuwang Zhang,Zhen Wang,Dejia Xu,Zhiwen Fan,Suya You,Zhangyang Wang,Leonidas J. Guibas,Achuta Kadambi:
  Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields.CoRRabs/2503.20776 (2025)
• 
  [i339]
  Wenyan Cong,Hanqing Zhu,Peihao Wang,Bangya Liu,Dejia Xu,Kevin Wang,David Z. Pan,Yan Wang,Zhiwen Fan,Zhangyang Wang:
  Can Test-Time Scaling Improve World Foundation Model?CoRRabs/2503.24320 (2025)
• 2024
• 
  [j65]
  Veer Sangha,Akshay Khunte,Gregory Holste,Bobak J. Mortazavi,Zhangyang Wang,Evangelos K. Oikonomou,Rohan Khera:
  Biometric contrastive learning for data-efficient deep learning from electrocardiographic images.J. Am. Medical Informatics Assoc.31(4):855-865 (2024)
• 
  [j64]
  Xuxi Chen,Tianlong Chen,Yu Cheng,Weizhu Chen,Ahmed Hassan Awadallah,Zhangyang Wang:
  One is Not Enough: Parameter-Efficient Fine-Tuning With Multiplicative Sparse Factorization.IEEE J. Sel. Top. Signal Process.18(6):1059-1069 (2024)
• 
  [j63]
  Gregory Holste,Yiliang Zhou,Song Wang,Ajay Jaiswal,Mingquan Lin,Sherry Zhuge,Yuzhe Yang,Dongkyun Kim,Trong-Hieu Nguyen Mau,Minh-Triet Tran,Jaehyup Jeong,Wongi Park,Jongbin Ryu,Feng Hong,Arsh Verma,Yosuke Yamagishi,Changhyun Kim,Hyeryeong Seo,Myungjoo Kang,Leo Anthony Celi,Zhiyong Lu,Ronald M. Summers,George Shih,Zhangyang Wang,Yifan Peng:
  Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.Medical Image Anal.97:103224 (2024)
• 
  [j62]
  Gregory Holste,Mingquan Lin,Ruiwen Zhou,Fei Wang,Lei Liu,Qi Yan,Sarah Van Tassel,Kyle Kovacs,Emily Y. Chew,Zhiyong Lu,Zhangyang Wang,Yifan Peng:
  Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling.npj Digit. Medicine7(1) (2024)
• 
  [j61]
  Gregory Holste,Mingquan Lin,Ruiwen Zhou,Fei Wang,Lei Liu,Qi Yan,Sarah Van Tassel,Kyle Kovacs,Emily Y. Chew,Zhiyong Lu,Zhangyang Wang,Yifan Peng:
  Author Correction: Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling.npj Digit. Medicine7(1) (2024)
• 
  [j60]
  Wuyang Chen,Xinyu Gong,Junru Wu,Yunchao Wei,Humphrey Shi,Zhicheng Yan,Yi Yang,Zhangyang Wang:
  Understanding and Accelerating Neural Architecture Search With Training-Free and Theory-Grounded Metrics.IEEE Trans. Pattern Anal. Mach. Intell.46(2):749-763 (2024)
• 
  [j59]
  Guihong Li,Duc Hoang,Kartikeya Bhardwaj,Ming Lin,Zhangyang Wang,Radu Marculescu:
  Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities.IEEE Trans. Pattern Anal. Mach. Intell.46(12):7618-7635 (2024)
• 
  [j58]
  Qinbin Li,Junyuan Hong,Chulin Xie,Jeffrey Tan,Rachel Xin,Junyi Hou,Xavier Yin,Zhun Wang,Dan Hendrycks,Zhangyang Wang,Bo Li,Bingsheng He,Dawn Song:
  LLM-PBE: Assessing Data Privacy in Large Language Models.Proc. VLDB Endow.17(11):3201-3214 (2024)
• 
  [j57]
  Xiaoxuan Yang,Zhangyang Wang,X. Sharon Hu,Chris H. Kim,Shimeng Yu,Miroslav Pajic,Rajit Manohar,Yiran Chen,Hai Helen Li:
  Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design.IEEE Trans. Circuits Syst. II Express Briefs71(3):1683-1689 (2024)
• 
  [j56]
  Ziyu Jiang,Guoqing Zheng,Yu Cheng,Ahmed Hassan Awadallah,Zhangyang Wang:
  CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning.Trans. Mach. Learn. Res.2024 (2024)
• 
  [c326]
  Panwang Pan,Zhiwen Fan,Brandon Y. Feng,Peihao Wang,Chenxin Li,Zhangyang Wang:
  Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images.3DV2024:1059-1071
• 
  [c325]
  Gabriel J. Perin,Xuxi Chen,Shusen Liu,Bhavya Kailkhura,Zhangyang Wang,Brian Gallagher:
  RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models.ACL (Findings)2024:1776-1782
• 
  [c324]
  Hovhannes Margaryan,Daniil Hayrapetyan,Wenyan Cong,Zhangyang Wang,Humphrey Shi:
  DGBD: Depth Guided Branched Diffusion for Comprehensive Controllability in Multi-View Generation.CVPR Workshops2024:747-756
• 
  [c323]
  Gong Zhang,Kai Wang,Xingqian Xu,Zhangyang Wang,Humphrey Shi:
  Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models.CVPR Workshops2024:1755-1764
• 
  [c322]
  Wenyan Cong,Hanxue Liang,Zhiwen Fan,Peihao Wang,Yifan Jiang,Dejia Xu,A. Cengiz Öztireli,Zhangyang Wang:
  NeRF as Pretraining at Scale: Generalizable 3D-Aware Semantic Representation Learning from View Prediction.CVPR Workshops2024:2872-2882
• 
  [c321]
  Zhiwen Fan,Panwang Pan,Peihao Wang,Yifan Jiang,Dejia Xu,Zhangyang Wang:
  POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference.CVPR Workshops2024:7771-7781
• 
  [c320]
  Vidit Goel,Elia Peruzzo,Yifan Jiang,Dejia Xu,Xingqian Xu,Nicu Sebe,Trevor Darrell,Zhangyang Wang,Humphrey Shi:
  PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor.CVPR2024:8609-8618
• 
  [c319]
  Xingqian Xu,Jiayi Guo,Zhangyang Wang,Gao Huang,Irfan Essa,Humphrey Shi:
  Prompt-Free Diffusion: Taking "Text" Out of Text-to-Image Diffusion Models.CVPR2024:8682-8692
• 
  [c318]
  Marianna Ohanyan,Hayk Manukyan,Zhangyang Wang,Shant Navasardyan,Humphrey Shi:
  Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis.CVPR2024:8764-8774
• 
  [c317]
  Peihao Wang,Dejia Xu,Zhiwen Fan,Dilin Wang,Sreyas Mohan,Forrest N. Iandola,Rakesh Ranjan,Yilei Li,Qiang Liu,Zhangyang Wang,Vikas Chandra:
  Taming Mode Collapse in Score Distillation for Text-to-3D Generation.CVPR2024:9037-9047
• 
  [c316]
  Moreno D'Incà,Elia Peruzzo,Massimiliano Mancini,Dejia Xu,Vidit Goel,Xingqian Xu,Zhangyang Wang,Humphrey Shi,Nicu Sebe:
  OpenBias: Open-Set Bias Detection in Text-to-Image Generative Models.CVPR2024:12225-12235
• 
  [c315]
  Mukund Varma T.,Peihao Wang,Zhiwen Fan,Zhangyang Wang,Hao Su,Ravi Ramamoorthi:
  Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D.CVPR2024:21367-21377
• 
  [c314]
  Shijie Zhou,Haoran Chang,Sicheng Jiang,Zhiwen Fan,Zehao Zhu,Dejia Xu,Pradyumna Chari,Suya You,Zhangyang Wang,Achuta Kadambi:
  Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields.CVPR2024:21676-21685
• 
  [c313]
  Zehao Zhu,Zhiwen Fan,Yifan Jiang,Zhangyang Wang:
  FSGS: Real-Time Few-Shot View Synthesis Using Gaussian Splatting.ECCV (39)2024:145-163
• 
  [c312]
  Renjie Li,Zhiwen Fan,Bohua Wang,Peihao Wang,Zhangyang Wang,Xi Wu:
  VersatileGaussian: Real-Time Neural Rendering for Versatile Tasks Using Gaussian Splatting.ECCV (20)2024:258-275
• 
  [c311]
  Shijie Zhou,Zhiwen Fan,Dejia Xu,Haoran Chang,Pradyumna Chari,Tejas Bharadwaj,Suya You,Zhangyang Wang,Achuta Kadambi:
  DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting.ECCV (6)2024:324-342
• 
  [c310]
  Artur Shagidanov,Hayk Poghosyan,Xinyu Gong,Zhangyang Wang,Shant Navasardyan,Humphrey Shi:
  Grounded-Instruct-Pix2Pix: Improving Instruction Based Image Editing with Automatic Target Grounding.ICASSP2024:6585-6589
• 
  [c309]
  Yifan Jiang,Hao Tang,Jen-Hao Rick Chang,Liangchen Song,Zhangyang Wang,Liangliang Cao:
  Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day.ICLR2024
• 
  [c308]
  Xuxi Chen,Yu Yang,Zhangyang Wang,Baharan Mirzasoleiman:
  Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality.ICLR2024
• 
  [c307]
  Wuyang Chen,Junru Wu,Zhangyang Wang,Boris Hanin:
  Principled Architecture-aware Scaling of Hyperparameters.ICLR2024
• 
  [c306]
  Junyuan Hong,Jiachen T. Wang,Chenhui Zhang,Zhangheng Li,Bo Li,Zhangyang Wang:
  DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer.ICLR2024
• 
  [c305]
  Arman Isajanyan,Artur Shatveryan,David Kocharian,Zhangyang Wang,Humphrey Shi:
  Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community.ICLR2024
• 
  [c304]
  Ajay Kumar Jaiswal,Zhe Gan,Xianzhi Du,Bowen Zhang,Zhangyang Wang,Yinfei Yang:
  Compressing LLMs: The Truth is Rarely Pure and Never Simple.ICLR2024
• 
  [c303]
  Daouda Sow,Sen Lin,Zhangyang Wang,Yingbin Liang:
  Doubly Robust Instance-Reweighted Adversarial Training.ICLR2024
• 
  [c302]
  Peihao Wang,Shenghao Yang,Shu Li,Zhangyang Wang,Pan Li:
  Polynomial Width is Sufficient for Set Representation with High-dimensional Features.ICLR2024
• 
  [c301]
  Yuning You,Ruida Zhou,Jiwoong Park,Haotian Xu,Chao Tian,Zhangyang Wang,Yang Shen:
  Latent 3D Graph Diffusion.ICLR2024
• 
  [c300]
  Shuyang Yu,Junyuan Hong,Haobo Zhang,Haotao Wang,Zhangyang Wang,Jiayu Zhou:
  Safe and Robust Watermark Injection with a Single OoD Image.ICLR2024
• 
  [c299]
  Lu Yin,Ajay Kumar Jaiswal,Shiwei Liu,Souvik Kundu,Zhangyang Wang:
  Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs.ICML2024
• 
  [c298]
  Lu Yin,You Wu,Zhenyu Zhang,Cheng-Yu Hsieh,Yaqing Wang,Yiling Jia,Gen Li,Ajay Kumar Jaiswal,Mykola Pechenizkiy,Yi Liang,Michael Bendersky,Zhangyang Wang,Shiwei Liu:
  Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity.ICML2024
• 
  [c297]
  Ruisi Cai,Saurav Muralidharan,Greg Heinrich,Hongxu Yin,Zhangyang Wang,Jan Kautz,Pavlo Molchanov:
  Flextron: Many-in-One Flexible Large Language Model.ICML2024
• 
  [c296]
  Ruisi Cai,Yuandong Tian,Zhangyang Wang,Beidi Chen:
  LoCoCo: Dropping In Convolutions for Long Context Compression.ICML2024
• 
  [c295]
  Runjin Chen,Tong Zhao,Ajay Kumar Jaiswal,Neil Shah,Zhangyang Wang:
  LLaGA: Large Language and Graph Assistant.ICML2024
• 
  [c294]
  Harry Dong,Xinyu Yang,Zhenyu Zhang,Zhangyang Wang,Yuejie Chi,Beidi Chen:
  Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference.ICML2024
• 
  [c293]
  Junyuan Hong,Jinhao Duan,Chenhui Zhang,Zhangheng Li,Chulin Xie,Kelsey Lieberman,James Diffenderfer,Brian R. Bartoldson,Ajay Kumar Jaiswal,Kaidi Xu,Bhavya Kailkhura,Dan Hendrycks,Dawn Song,Zhangyang Wang,Bo Li:
  Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.ICML2024
• 
  [c292]
  Zhangheng Li,Shiwei Liu,Tianlong Chen,Ajay Kumar Jaiswal,Zhenyu Zhang,Dilin Wang,Raghuraman Krishnamoorthi,Shiyu Chang,Zhangyang Wang:
  Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once.ICML2024
• 
  [c291]
  Yihua Zhang,Pingzhi Li,Junyuan Hong,Jiaxiang Li,Yimeng Zhang,Wenqing Zheng,Pin-Yu Chen,Jason D. Lee,Wotao Yin,Mingyi Hong,Zhangyang Wang,Sijia Liu,Tianlong Chen:
  Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.ICML2024
• 
  [c290]
  Jiawei Zhao,Zhenyu Zhang,Beidi Chen,Zhangyang Wang,Anima Anandkumar,Yuandong Tian:
  GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection.ICML2024
• 
  [c289]
  Lisong C. Sun,Neel P. Bhatt,Jonathan C. Liu,Zhiwen Fan,Zhangyang Wang,Todd E. Humphreys,Ufuk Topcu:
  MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements.IROS2024:10159-10166
• 
  [c288]
  Zhenyu Zhang,Runjin Chen,Shiwei Liu,Zhewei Yao,Olatunji Ruwase,Beidi Chen,Xiaoxia Wu,Zhangyang Wang:
  Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding.NeurIPS2024
• 
  [c287]
  Ruisi Cai,Yeonju Ro,Geon-Woo Kim,Peihao Wang,Babak Ehteshami Bejnordi,Aditya Akella,Zhangyang Wang:
  Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design.NeurIPS2024
• 
  [c286]
  Zhiwen Fan,Kevin Wang,Kairun Wen,Zehao Zhu,Dejia Xu,Zhangyang Wang:
  LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS.NeurIPS2024
• 
  [c285]
  Zhiwen Fan,Jian Zhang,Wenyan Cong,Peihao Wang,Renjie Li,Kairun Wen,Shijie Zhou,Achuta Kadambi,Zhangyang Wang,Danfei Xu,Boris Ivanovic,Marco Pavone:
  Large Spatial Model: End-to-end Unposed Images to Semantic 3D.NeurIPS2024
• 
  [c284]
  Hezhen Hu,Zhiwen Fan,Tianhao Wu,Yihan Xi,Seoyoung Lee,Georgios Pavlakos,Zhangyang Wang:
  Expressive Gaussian Human Avatars from Monocular RGB Video.NeurIPS2024
• 
  [c283]
  Hanwen Liang,Yuyang Yin,Dejia Xu,Hanxue Liang,Zhangyang Wang,Konstantinos N. Plataniotis,Yao Zhao,Yunchao Wei:
  Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models.NeurIPS2024
• 
  [c282]
  Haiquan Lu,Yefan Zhou,Shiwei Liu,Zhangyang Wang,Michael W. Mahoney,Yaoqing Yang:
  AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models.NeurIPS2024
• 
  [c281]
  Hongru Yang,Bhavya Kailkhura,Zhangyang Wang,Yingbin Liang:
  Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis.NeurIPS2024
• 
  [c280]
  Xinyu Zhao,Guoheng Sun,Ruisi Cai,Yukun Zhou,Pingzhi Li,Peihao Wang,Bowen Tan,Yexiao He,Li Chen,Yi Liang,Beidi Chen,Binhang Yuan,Hongyi Wang,Ang Li,Zhangyang Wang,Tianlong Chen:
  Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild.NeurIPS2024
• 
  [c279]
  Zhangheng Li,Junyuan Hong,Bo Li,Zhangyang Wang:
  Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk.SaTML2024:18-32
• 
  [c278]
  Feng Liu,Ryan Ashbaugh,Nicholas Chimitt,Najmul Hassan,Ali Hassani,Ajay Jaiswal,Minchul Kim,Zhiyuan Mao,Christopher Perry,Zhiyuan Ren,Yiyang Su,Pegah Varghaei,Kai Wang,Stanley H. Chan,Arun Ross,Humphrey Shi,Zhangyang Wang,Anil Jain,Xiaoming Liu:
  FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude.WACV2024:6215-6224
• 
  [c277]
  Yan Han,Kaiqi Chen,Shan Li,Ji Yan,Baoxu Shi,Lei Zhang,Fei Chen,Jaewon Yang,Yunpeng Xu,Xiaoqiang Luo,Qi He,Ying Ding,Zhangyang Wang:
  Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting.WWW (Companion Volume)2024:903-906
• 
  [i338]
  Peihao Wang,Zhiwen Fan,Dejia Xu,Dilin Wang,Sreyas Mohan,Forrest N. Iandola,Rakesh Ranjan,Yilei Li,Qiang Liu,Zhangyang Wang,Vikas Chandra:
  SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity.CoRRabs/2401.00604 (2024)
• 
  [i337]
  Peihao Wang,Dejia Xu,Zhiwen Fan,Dilin Wang,Sreyas Mohan,Forrest N. Iandola,Rakesh Ranjan,Yilei Li,Qiang Liu,Zhangyang Wang,Vikas Chandra:
  Taming Mode Collapse in Score Distillation for Text-to-3D Generation.CoRRabs/2401.00909 (2024)
• 
  [i336]
  Elia Peruzzo,Vidit Goel,Dejia Xu,Xingqian Xu,Yifan Jiang,Zhangyang Wang,Humphrey Shi,Nicu Sebe:
  VASE: Object-Centric Appearance and Shape Manipulation of Real Videos.CoRRabs/2401.02473 (2024)
• 
  [i335]
  Dejia Xu,Ye Yuan,Morteza Mardani,Sifei Liu,Jiaming Song,Zhangyang Wang,Arash Vahdat:
  AGG: Amortized Generative 3D Gaussians for Single Image to 3D.CoRRabs/2401.04099 (2024)
• 
  [i334]
  Tianlong Chen,Zhenyu Zhang,Hanrui Wang,Jiaqi Gu,Zirui Li,David Z. Pan,Frederic T. Chong,Song Han,Zhangyang Wang:
  QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits.CoRRabs/2401.05571 (2024)
• 
  [i333]
  Runjin Chen,Tong Zhao,Ajay Jaiswal,Neil Shah,Zhangyang Wang:
  LLaGA: Large Language and Graph Assistant.CoRRabs/2402.08170 (2024)
• 
  [i332]
  Harry Dong,Xinyu Yang,Zhenyu Zhang,Zhangyang Wang,Yuejie Chi,Beidi Chen:
  Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference.CoRRabs/2402.09398 (2024)
• 
  [i331]
  Arman Isajanyan,Artur Shatveryan,David Kocharyan,Zhangyang Wang,Humphrey Shi:
  Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community.CoRRabs/2402.09872 (2024)
• 
  [i330]
  Yihua Zhang,Pingzhi Li,Junyuan Hong,Jiaxiang Li,Yimeng Zhang,Wenqing Zheng,Pin-Yu Chen,Jason D. Lee,Wotao Yin,Mingyi Hong,Zhangyang Wang,Sijia Liu,Tianlong Chen:
  Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.CoRRabs/2402.11592 (2024)
• 
  [i329]
  Xuxi Chen,Zhendong Wang,Daouda Sow,Junjie Yang,Tianlong Chen,Yingbin Liang,Mingyuan Zhou,Zhangyang Wang:
  Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization.CoRRabs/2402.14270 (2024)
• 
  [i328]
  Wuyang Chen,Junru Wu,Zhangyang Wang,Boris Hanin:
  Principled Architecture-aware Scaling of Hyperparameters.CoRRabs/2402.17440 (2024)
• 
  [i327]
  Jiawei Zhao,Zhenyu Zhang,Beidi Chen,Zhangyang Wang,Anima Anandkumar,Yuandong Tian:
  GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection.CoRRabs/2403.03507 (2024)
• 
  [i326]
  Zhenyu Zhang,Runjin Chen,Shiwei Liu,Zhewei Yao,Olatunji Ruwase,Beidi Chen,Xiaoxia Wu,Zhangyang Wang:
  Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding.CoRRabs/2403.04797 (2024)
• 
  [i325]
  Zhangheng Li,Junyuan Hong,Bo Li,Zhangyang Wang:
  Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk.CoRRabs/2403.09450 (2024)
• 
  [i324]
  Roberto Henschel,Levon Khachatryan,Daniil Hayrapetyan,Hayk Poghosyan,Vahram Tadevosyan,Zhangyang Wang,Shant Navasardyan,Humphrey Shi:
  StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text.CoRRabs/2403.14773 (2024)
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  Junyuan Hong,Jinhao Duan,Chenhui Zhang,Zhangheng Li,Chulin Xie,Kelsey Lieberman,James Diffenderfer,Brian R. Bartoldson,Ajay Jaiswal,Kaidi Xu,Bhavya Kailkhura,Dan Hendrycks,Dawn Song,Zhangyang Wang,Bo Li:
  Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.CoRRabs/2403.15447 (2024)
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  Dejia Xu,Hanwen Liang,Neel P. Bhatt,Hezhen Hu,Hanxue Liang,Konstantinos N. Plataniotis,Zhangyang Wang:
  Comp4D: LLM-Guided Compositional 4D Scene Generation.CoRRabs/2403.16993 (2024)
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  Jinze Zhao,Peihao Wang,Zhangyang Wang:
  Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study.CoRRabs/2403.17404 (2024)
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  Mukund Varma T.,Peihao Wang,Zhiwen Fan,Zhangyang Wang,Hao Su,Ravi Ramamoorthi:
  Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D.CoRRabs/2403.18922 (2024)
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  Zhiwen Fan,Wenyan Cong,Kairun Wen,Kevin Wang,Jian Zhang,Xinghao Ding,Danfei Xu,Boris Ivanovic,Marco Pavone,Georgios Pavlakos,Zhangyang Wang,Yue Wang:
  InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds.CoRRabs/2403.20309 (2024)
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  Lisong C. Sun,Neel P. Bhatt,Jonathan C. Liu,Zhiwen Fan,Zhangyang Wang,Todd E. Humphreys,Ufuk Topcu:
  MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements.CoRRabs/2404.00923 (2024)
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  Shijie Zhou,Zhiwen Fan,Dejia Xu,Haoran Chang,Pradyumna Chari,Tejas Bharadwaj,Suya You,Zhangyang Wang,Achuta Kadambi:
  DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting.CoRRabs/2404.06903 (2024)
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  Moreno D'Incà,Elia Peruzzo,Massimiliano Mancini,Dejia Xu,Vidit Goel,Xingqian Xu,Zhangyang Wang,Humphrey Shi,Nicu Sebe:
  OpenBias: Open-set Bias Detection in Text-to-Image Generative Models.CoRRabs/2404.07990 (2024)
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  Gregory Holste,Mingquan Lin,Ruiwen Zhou,Fei Wang,Lei Liu,Qi Yan,Sarah Van Tassel,Kyle Kovacs,Emily Y. Chew,Zhiyong Lu,Zhangyang Wang,Yifan Peng:
  Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modeling.CoRRabs/2405.08780 (2024)
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  Hanwen Liang,Yuyang Yin,Dejia Xu,Hanxue Liang,Zhangyang Wang,Konstantinos N. Plataniotis,Yao Zhao,Yunchao Wei:
  Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models.CoRRabs/2405.16645 (2024)
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  Dejia Xu,Weili Nie,Chao Liu,Sifei Liu,Jan Kautz,Zhangyang Wang,Arash Vahdat:
  CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation.CoRRabs/2406.02509 (2024)
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  Marianna Ohanyan,Hayk Manukyan,Zhangyang Wang,Shant Navasardyan,Humphrey Shi:
  Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis.CoRRabs/2406.04032 (2024)
• 
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  Ruisi Cai,Yuandong Tian,Zhangyang Wang,Beidi Chen:
  LoCoCo: Dropping In Convolutions for Long Context Compression.CoRRabs/2406.05317 (2024)
• 
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  Ruisi Cai,Saurav Muralidharan,Greg Heinrich,Hongxu Yin,Zhangyang Wang,Jan Kautz,Pavlo Molchanov:
  Flextron: Many-in-One Flexible Large Language Model.CoRRabs/2406.10260 (2024)
• 
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  Zhiwen Fan,Pu Wang,Yang Zhao,Yibo Zhao,Boris Ivanovic,Zhangyang Wang,Marco Pavone,Hao (Frank) Yang:
  Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses.CoRRabs/2406.10789 (2024)
• 
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  Renjie Li,Panwang Pan,Bangbang Yang,Dejia Xu,Shijie Zhou,Xuanyang Zhang,Zeming Li,Achuta Kadambi,Zhangyang Wang,Zhiwen Fan:
  4K4DGen: Panoramic 4D Generation at 4K Resolution.CoRRabs/2406.13527 (2024)
• 
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  Hezhen Hu,Zhiwen Fan,Tianhao Wu,Yihan Xi,Seoyoung Lee,Georgios Pavlakos,Zhangyang Wang:
  Expressive Gaussian Human Avatars from Monocular RGB Video.CoRRabs/2407.03204 (2024)
• 
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  Zhenyu Zhang,Ajay Jaiswal,Lu Yin,Shiwei Liu,Jiawei Zhao,Yuandong Tian,Zhangyang Wang:
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.CoRRabs/2407.08296 (2024)
• 
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  Ajay Jaiswal,Lu Yin,Zhenyu Zhang,Shiwei Liu,Jiawei Zhao,Yuandong Tian,Zhangyang Wang:
  From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients.CoRRabs/2407.11239 (2024)
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  Ajay Jaiswal,Nurendra Choudhary,Ravinarayana Adkathimar,Muthu P. Alagappan,Gaurush Hiranandani,Ying Ding,Zhangyang Wang,Edward W. Huang,Karthik Subbian:
  All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks.CoRRabs/2407.14996 (2024)
• 
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  Qinbin Li,Junyuan Hong,Chulin Xie,Jeffrey Tan,Rachel Xin,Junyi Hou,Xavier Yin,Zhun Wang,Dan Hendrycks,Zhangyang Wang,Bo Li,Bingsheng He,Dawn Song:
  LLM-PBE: Assessing Data Privacy in Large Language Models.CoRRabs/2408.12787 (2024)
• 
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  Kevin Wang,Junbo Li,Neel P. Bhatt,Yihan Xi,Qiang Liu,Ufuk Topcu,Zhangyang Wang:
  On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability.CoRRabs/2409.19924 (2024)
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  Xinyu Zhao,Guoheng Sun,Ruisi Cai,Yukun Zhou,Pingzhi Li,Peihao Wang,Bowen Tan,Yexiao He,Li Chen,Yi Liang,Beidi Chen,Binhang Yuan,Hongyi Wang,Ang Li,Zhangyang Wang,Tianlong Chen:
  Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild.CoRRabs/2410.05357 (2024)
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  Hongru Yang,Bhavya Kailkhura,Zhangyang Wang,Yingbin Liang:
  Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis.CoRRabs/2410.09605 (2024)
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  Dejia Xu,Yifan Jiang,Chen Huang,Liangchen Song,Thorsten Gernoth,Liangliang Cao,Zhangyang Wang,Hao Tang:
  Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention.CoRRabs/2410.10774 (2024)
• 
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  Haiquan Lu,Yefan Zhou,Shiwei Liu,Zhangyang Wang,Michael W. Mahoney,Yaoqing Yang:
  AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models.CoRRabs/2410.10912 (2024)
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  Zhiwen Fan,Jian Zhang,Wenyan Cong,Peihao Wang,Renjie Li,Kairun Wen,Shijie Zhou,Achuta Kadambi,Zhangyang Wang,Danfei Xu,Boris Ivanovic,Marco Pavone,Yue Wang:
  Large Spatial Model: End-to-end Unposed Images to Semantic 3D.CoRRabs/2410.18956 (2024)
• 
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  Ruisi Cai,Yeonju Ro,Geon-Woo Kim,Peihao Wang,Babak Ehteshami Bejnordi,Aditya Akella,Zhangyang Wang:
  Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design.CoRRabs/2410.19123 (2024)
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  Qiming Wu,Xiaohan Chen,Yifan Jiang,Zhangyang Wang:
  Chasing Better Deep Image Priors between Over- and Under-parameterization.CoRRabs/2410.24187 (2024)
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  Neel P. Bhatt,Yunhao Yang,Rohan Siva,Daniel Milan,Ufuk Topcu,Zhangyang Wang:
  Know Where You're Uncertain When Planning with Multimodal Foundation Models: A Formal Framework.CoRRabs/2411.01639 (2024)
• 
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  Yan Zheng,Zhenxiao Liang,Xiaoyan Cong,Lanqing guo,Yuehao Wang,Peihao Wang,Zhangyang Wang:
  Oscillation Inversion: Understand the structure of Large Flow Model through the Lens of Inversion Method.CoRRabs/2411.11135 (2024)
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  Wangbo Zhao,Yizeng Han,Jiasheng Tang,Zhikai Li,Yibing Song,Kai Wang,Zhangyang Wang,Yang You:
  A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs.CoRRabs/2412.03324 (2024)
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  Hanqing Zhu,Zhenyu Zhang,Wenyan Cong,Xi Liu,Sem Park,Vikas Chandra,Bo Long,David Z. Pan,Zhangyang Wang,Jinwon Lee:
  APOLLO: SGD-like Memory, AdamW-level Performance.CoRRabs/2412.05270 (2024)
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  William T. Redman,Zhangyang Wang,Alessandro Ingrosso,Sebastian Goldt:
  On How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks.CoRRabs/2412.06545 (2024)
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  Shuo Xing,Hongyuan Hua,Xiangbo Gao,Shenzhe Zhu,Renjie Li,Kexin Tian,Xiaopeng Li,Heng Huang,Tianbao Yang,Zhangyang Wang,Yang Zhou,Huaxiu Yao,Zhengzhong Tu:
  AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving.CoRRabs/2412.15206 (2024)
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  Runjin Chen,Mingxuan Ju,Ngoc Bui,Dimosthenis Antypas,Stanley Cai,Xiaopeng Wu,Leonardo Neves,Zhangyang Wang,Neil Shah,Tong Zhao:
  Enhancing Item Tokenization for Generative Recommendation through Self-Improvement.CoRRabs/2412.17171 (2024)
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  Sina Mohseni,Haotao Wang,Chaowei Xiao,Zhiding Yu,Zhangyang Wang,Jay Yadawa:
  Taxonomy of Machine Learning Safety: A Survey and Primer.ACM Comput. Surv.55(8):157:1-157:38 (2023)
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  Yan Han,Yuning You,Wenqing Zheng,Scott Hoang,Tianxin Wei,Majdi Hassan,Tianlong Chen,Ying Ding,Yang Shen,Zhangyang Wang:
  Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs.IEEE Data Eng. Bull.47(2):80-95 (2023)
• 
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  Wenqing Zheng,Hao (Frank) Yang,Jiarui Cai,Peihao Wang,Xuan Jiang,Simon Shaolei Du,Yinhai Wang,Zhangyang Wang:
  Integrating the traffic science with representation learning for city-wide network congestion prediction.Inf. Fusion99:101837 (2023)
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  Haotao Wang,Tianlong Chen,Zhangyang Wang,Kede Ma:
  Troubleshooting image segmentation models with human-in-the-loop.Mach. Learn.112(3):1033-1051 (2023)
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  [j51]
  Tianlong Chen,Kaixiong Zhou,Keyu Duan,Wenqing Zheng,Peihao Wang,Xia Hu,Zhangyang Wang:
  Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.IEEE Trans. Pattern Anal. Mach. Intell.45(3):2769-2781 (2023)
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  Priya Narayanan,Xin Hu,Zhenyu Wu,Matthew D. Thielke,John G. Rogers,Andre V. Harrison,John A. D'Agostino,James D. Brown,Long P. Quang,James R. Uplinger,Heesung Kwon,Zhangyang Wang:
  A Multi-Purpose Realistic Haze Benchmark With Quantifiable Haze Levels and Ground Truth.IEEE Trans. Image Process.32:3481-3492 (2023)
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  Qiucheng Wu,Yifan Jiang,Junru Wu,Victor Kulikov,Vidit Goel,Nikita Orlov,Humphrey Shi,Zhangyang Wang,Shiyu Chang:
  Broad Spectrum Image Deblurring via an Adaptive Super-Network.IEEE Trans. Image Process.32:5270-5282 (2023)
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  Yan Han,Gregory Holste,Ying Ding,Ahmed H. Tewfik,Yifan Peng,Zhangyang Wang:
  Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays.IEEE Trans. Medical Imaging42(3):750-761 (2023)
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  Zhangheng Li,Tianlong Chen,Linyi Li,Bo Li,Zhangyang Wang:
  Can Pruning Improve Certified Robustness of Neural Networks?Trans. Mach. Learn. Res.2023 (2023)
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  Haotao Wang,Junyuan Hong,Jiayu Zhou,Zhangyang Wang:
  How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts.Trans. Mach. Learn. Res.2023 (2023)
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  Qiming Wu,Xiaohan Chen,Yifan Jiang,Zhangyang Wang:
  Chasing Better Deep Image Priors between Over- and Under-parameterization.Trans. Mach. Learn. Res.2023 (2023)
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  Wenqing Zheng,Edward W. Huang,Nikhil Rao,Zhangyang Wang,Karthik Subbian:
  You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction.Trans. Mach. Learn. Res.2023 (2023)
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  Xiaohan Chen,Yang Zhao,Yue Wang,Pengfei Xu,Haoran You,Chaojian Li,Yonggan Fu,Yingyan Lin,Zhangyang Wang:
  SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training.IEEE Trans. Neural Networks Learn. Syst.34(10):7099-7113 (2023)
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  Howard Heaton,Xiaohan Chen,Zhangyang Wang,Wotao Yin:
  Safeguarded Learned Convex Optimization.AAAI2023:7848-7855
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  Junyuan Hong,Haotao Wang,Zhangyang Wang,Jiayu Zhou:
  Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning.AAAI2023:7893-7901
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  Zhenglun Kong,Haoyu Ma,Geng Yuan,Mengshu Sun,Yanyue Xie,Peiyan Dong,Xin Meng,Xuan Shen,Hao Tang,Minghai Qin,Tianlong Chen,Xiaolong Ma,Xiaohui Xie,Zhangyang Wang,Yanzhi Wang:
  Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.AAAI2023:8360-8368
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  Xuxi Chen,Tianlong Chen,Weizhu Chen,Ahmed Hassan Awadallah,Zhangyang Wang,Yu Cheng:
  DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models.ACL (1)2023:8208-8222
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  Hongru Yang,Zhangyang Wang:
  On the Neural Tangent Kernel Analysis of Randomly Pruned Neural Networks.AISTATS2023:1513-1553
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  Junjie Yang,Tianlong Chen,Mingkang Zhu,Fengxiang He,Dacheng Tao,Yingbin Liang,Zhangyang Wang:
  Learning to Generalize Provably in Learning to Optimize.AISTATS2023:9807-9825
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  Yimeng Zhang,Akshay Karkal Kamath,Qiucheng Wu,Zhiwen Fan,Wuyang Chen,Zhangyang Wang,Shiyu Chang,Sijia Liu,Cong Hao:
  Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices.ASP-DAC2023:745-750
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  Wuyang Chen,Wei Huang,Zhangyang Wang:
  "No Free Lunch" in Neural Architectures? A Joint Analysis of Expressivity, Convergence, and Generalization.AutoML2023:14/1-29
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  Yifan Jiang,Peter Hedman,Ben Mildenhall,Dejia Xu,Jonathan T. Barron,Zhangyang Wang,Tianfan Xue:
  AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training.CVPR2023:46-55
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  Wentao Zhu,Yufang Huang,Xiufeng Xie,Wenxian Liu,Jincan Deng,Debing Zhang,Zhangyang Wang,Ji Liu:
  AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection.CVPR Workshops2023:2238-2247
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  Dejia Xu,Yifan Jiang,Peihao Wang,Zhiwen Fan,Yi Wang,Zhangyang Wang:
  NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views.CVPR2023:4479-4489
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  Zhangheng Li,Yu Gong,Zhenyu Zhang,Xingyun Xue,Tianlong Chen,Yi Liang,Bo Yuan,Zhangyang Wang:
  Accelerable Lottery Tickets with the Mixed-Precision Quantization.CVPR Workshops2023:4604-4612
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  Ruisi Cai,Xiaohan Chen,Shiwei Liu,Jayanth Srinivasa,Myungjin Lee,Ramana Kompella,Zhangyang Wang:
  Many-Task Federated Learning: A New Problem Setting and A Simple Baseline.CVPR Workshops2023:5037-5045
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  Xinyu Gong,Sreyas Mohan,Naina Dhingra,Jean-Charles Bazin,Yilei Li,Zhangyang Wang,Rakesh Ranjan:
  MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition.CVPR2023:6481-6491
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  Haoming Lu,Hazarapet Tunanyan,Kai Wang,Shant Navasardyan,Zhangyang Wang,Humphrey Shi:
  Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models to Learn Any Unseen Style.CVPR2023:14267-14276
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  Stefan Abi-Karam,Rishov Sarkar,Dejia Xu,Zhiwen Fan,Zhangyang Wang,Cong Hao:
  INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing.ICCAD2023:1-9
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  Rishov Sarkar,Hanxue Liang,Zhiwen Fan,Zhangyang Wang,Cong Hao:
  Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-Level Sparsity via Mixture-of-Experts.ICCAD2023:1-9
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  Yihua Zhang,Ruisi Cai,Tianlong Chen,Guanhua Zhang,Huan Zhang,Pin-Yu Chen,Shiyu Chang,Zhangyang Wang,Sijia Liu:
  Robust Mixture-of-Expert Training for Convolutional Neural Networks.ICCV2023:90-101
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  Chenxin Li,Brandon Y. Feng,Zhiwen Fan,Panwang Pan,Zhangyang Wang:
  StegaNeRF: Embedding Invisible Information within Neural Radiance Fields.ICCV2023:441-453
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  Wenyan Cong,Hanxue Liang,Peihao Wang,Zhiwen Fan,Tianlong Chen,Mukund Varma T.,Yi Wang,Zhangyang Wang:
  Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts.ICCV2023:3170-3181
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  Xingqian Xu,Zhangyang Wang,Eric J. Zhang,Kai Wang,Humphrey Shi:
  Versatile Diffusion: Text, Images and Variations All in One Diffusion Model.ICCV2023:7720-7731
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  Ajay Jaiswal,Xingguang Zhang,Stanley H. Chan,Zhangyang Wang:
  Physics-Driven Turbulence Image Restoration with Stochastic Refinement.ICCV2023:12136-12147
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  Levon Khachatryan,Andranik Movsisyan,Vahram Tadevosyan,Roberto Henschel,Zhangyang Wang,Shant Navasardyan,Humphrey Shi:
  Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators.ICCV2023:15908-15918
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  Tianlong Chen,Xuxi Chen,Xianzhi Du,Abdullah Rashwan,Fan Yang,Huizhong Chen,Zhangyang Wang,Yeqing Li:
  AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts.ICCV2023:17300-17311
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  Yan Han,Peihao Wang,Souvik Kundu,Ying Ding,Zhangyang Wang:
  Vision HGNN: An Image is More than a Graph of Nodes.ICCV2023:19821-19831
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  Tianlong Chen,Chengyue Gong,Daniel Jesus Diaz,Xuxi Chen,Jordan Tyler Wells,Qiang Liu,Zhangyang Wang,Andrew D. Ellington,Alex Dimakis,Adam R. Klivans:
  HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing.ICLR2023
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  Tianlong Chen,Zhenyu Zhang,Ajay Kumar Jaiswal,Shiwei Liu,Zhangyang Wang:
  Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers.ICLR2023
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  Zhiwen Fan,Peihao Wang,Yifan Jiang,Xinyu Gong,Dejia Xu,Zhangyang Wang:
  NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes.ICLR2023
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  Hehe Fan,Zhangyang Wang,Yi Yang,Mohan S. Kankanhalli:
  Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins.ICLR2023
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  Duc N. M. Hoang,Shiwei Liu,Radu Marculescu,Zhangyang Wang:
  Revisiting Pruning at Initialization Through the Lens of Ramanujan Graph.ICLR2023
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  Ziyu Jiang,Yinpeng Chen,Mengchen Liu,Dongdong Chen,Xiyang Dai,Lu Yuan,Zicheng Liu,Zhangyang Wang:
  Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations.ICLR2023
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  Shiwei Liu,Tianlong Chen,Xiaohan Chen,Xuxi Chen,Qiao Xiao,Boqian Wu,Tommi Kärkkäinen,Mykola Pechenizkiy,Decebal Constantin Mocanu,Zhangyang Wang:
  More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.ICLR2023
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  [c244]
  Shiwei Liu,Tianlong Chen,Zhenyu Zhang,Xuxi Chen,Tianjin Huang,Ajay Kumar Jaiswal,Zhangyang Wang:
  Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!ICLR2023
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  [c243]
  Mukund Varma T.,Peihao Wang,Xuxi Chen,Tianlong Chen,Subhashini Venugopalan,Zhangyang Wang:
  Is Attention All That NeRF Needs?ICLR2023
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  Peihao Wang,Rameswar Panda,Lucas Torroba Hennigen,Philip Greengard,Leonid Karlinsky,Rogério Feris,David Daniel Cox,Zhangyang Wang,Yoon Kim:
  Learning to Grow Pretrained Models for Efficient Transformer Training.ICLR2023
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  Peihao Wang,Shenghao Yang,Yunyu Liu,Zhangyang Wang,Pan Li:
  Equivariant Hypergraph Diffusion Neural Operators.ICLR2023
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  Junjie Yang,Xuxi Chen,Tianlong Chen,Zhangyang Wang,Yingbin Liang:
  M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation.ICLR2023
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  Yuning You,Tianlong Chen,Zhangyang Wang,Yang Shen:
  Graph Domain Adaptation via Theory-Grounded Spectral Regularization.ICLR2023
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  Shuyang Yu,Junyuan Hong,Haotao Wang,Zhangyang Wang,Jiayu Zhou:
  Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection.ICLR2023
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  [c237]
  Ruisi Cai,Zhenyu Zhang,Zhangyang Wang:
  Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?ICML2023:3495-3506
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  Xuxi Chen,Nelson Vadori,Tianlong Chen,Zhangyang Wang:
  Learning to Optimize Differentiable Games.ICML2023:5036-5051
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  Tianjin Huang,Lu Yin,Zhenyu Zhang,Li Shen,Meng Fang,Mykola Pechenizkiy,Zhangyang Wang,Shiwei Liu:
  Are Large Kernels Better Teachers than Transformers for ConvNets?ICML2023:14023-14038
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  Ajay Kumar Jaiswal,Shiwei Liu,Tianlong Chen,Ying Ding,Zhangyang Wang:
  Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication.ICML2023:14679-14690
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  Ajay Kumar Jaiswal,Shiwei Liu,Tianlong Chen,Ying Ding,Zhangyang Wang:
  Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models.ICML2023:14691-14701
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  Jialin Liu,Xiaohan Chen,Zhangyang Wang,Wotao Yin,HanQin Cai:
  Towards Constituting Mathematical Structures for Learning to Optimize.ICML2023:21426-21449
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  Yeonju Ro,Zhangyang Wang,Vijay Chidambaram,Aditya Akella:
  Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit.ICML2023:29130-29142
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  [c230]
  Peihao Wang,Rameswar Panda,Zhangyang Wang:
  Data Efficient Neural Scaling Law via Model Reusing.ICML2023:36193-36204
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  [c229]
  Wenqing Zheng,S. P. Sharan,Ajay Kumar Jaiswal,Kevin Wang,Yihan Xi,Dejia Xu,Zhangyang Wang:
  Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation.ICML2023:42403-42419
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  Lu Yin,Gen Li,Meng Fang,Li Shen,Tianjin Huang,Zhangyang Wang,Vlado Menkovski,Xiaolong Ma,Mykola Pechenizkiy,Shiwei Liu:
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  Don't just prune by magnitude! Your mask topology is a secret weapon.NeurIPS2023
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  The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter.NeurIPS2023
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  In-Context Learning Unlocked for Diffusion Models.NeurIPS2023
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  Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models.NeurIPS2023
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  Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling.NeurIPS2023
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  Zhenyu Zhang,Ying Sheng,Tianyi Zhou,Tianlong Chen,Lianmin Zheng,Ruisi Cai,Zhao Song,Yuandong Tian,Christopher Ré,Clark W. Barrett,Zhangyang Wang,Beidi Chen:
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  Tianlong Chen,Zhenyu Zhang,Hanrui Wang,Jiaqi Gu,Zirui Li,David Z. Pan,Frederic T. Chong,Song Han,Zhangyang Wang:
  QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits.QCE2023:51-62
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  Ajay Jaiswal,Tianlong Chen,Justin F. Rousseau,Yifan Peng,Ying Ding,Zhangyang Wang:
  Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances.WACV2023:4976-4985
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  Yan Han,Edward W. Huang,Wenqing Zheng,Nikhil Rao,Zhangyang Wang,Karthik Subbian:
  Search Behavior Prediction: A Hypergraph Perspective.WSDM2023:697-705
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  Hongru Yang,Ziyu Jiang,Ruizhe Zhang,Zhangyang Wang,Yingbin Liang:
  Convergence and Generalization of Wide Neural Networks with Large Bias.CoRRabs/2301.00327 (2023)
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  Mingquan Lin,Yuyun Xiao,Bo-Jian Hou,Tingyi Wanyan,Mohit Manoj Sharma,Zhangyang Wang,Fei Wang,Sarah Van Tassel,Yifan Peng:
  Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations.CoRRabs/2301.11315 (2023)
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  Shiwei Liu,Zhangyang Wang:
  Ten Lessons We Have Learned in the New "Sparseland": A Short Handbook for Sparse Neural Network Researchers.CoRRabs/2302.02596 (2023)
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  Learning to Generalize Provably in Learning to Optimize.CoRRabs/2302.11085 (2023)
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  Ruisi Cai,Zhenyu Zhang,Zhangyang Wang:
  Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?CoRRabs/2302.12480 (2023)
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  Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations.CoRRabs/2302.14138 (2023)
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  M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation.CoRRabs/2303.00039 (2023)
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  Learning to Grow Pretrained Models for Efficient Transformer Training.CoRRabs/2303.00980 (2023)
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  Tianlong Chen,Zhenyu Zhang,Ajay Jaiswal,Shiwei Liu,Zhangyang Wang:
  Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers.CoRRabs/2303.01610 (2023)
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  Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling.CoRRabs/2304.02806 (2023)
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  AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection.CoRRabs/2304.06116 (2023)
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  Learning imaging mechanism directly from optical microscopy observations.CoRRabs/2304.12584 (2023)
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  In-Context Learning Unlocked for Diffusion Models.CoRRabs/2305.01115 (2023)
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  Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication.CoRRabs/2306.10466 (2023)
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  H₂O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.CoRRabs/2306.14048 (2023)
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  FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance and Altitude.CoRRabs/2306.17206 (2023)
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  Guihong Li,Duc Hoang,Kartikeya Bhardwaj,Ming Lin,Zhangyang Wang,Radu Marculescu:
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  Peihao Wang,Shenghao Yang,Shu Li,Zhangyang Wang,Pan Li:
  Polynomial Width is Sufficient for Set Representation with High-dimensional Features.CoRRabs/2307.04001 (2023)
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  Dejia Xu,Xingqian Xu,Wenyan Cong,Humphrey Shi,Zhangyang Wang:
  Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap.CoRRabs/2307.10584 (2023)
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  Ajay Jaiswal,Xingguang Zhang,Stanley H. Chan,Zhangyang Wang:
  Physics-Driven Turbulence Image Restoration with Stochastic Refinement.CoRRabs/2307.10603 (2023)
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  Daouda Sow,Sen Lin,Zhangyang Wang,Yingbin Liang:
  Doubly Robust Instance-Reweighted Adversarial Training.CoRRabs/2308.00311 (2023)
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  Stefan Abi-Karam,Rishov Sarkar,Dejia Xu,Zhiwen Fan,Zhangyang Wang,Cong Hao:
  INR-Arch: A Dataflow Architecture and Compiler for Arbitrary-Order Gradient Computations in Implicit Neural Representation Processing.CoRRabs/2308.05930 (2023)
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  Robust Mixture-of-Expert Training for Convolutional Neural Networks.CoRRabs/2308.10110 (2023)
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  Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts.CoRRabs/2308.11793 (2023)
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  Drag View: Generalizable Novel View Synthesis with Unposed Imagery.CoRRabs/2310.03704 (2023)
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  Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge.CoRRabs/2310.16112 (2023)
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  Junjie Yang,Jinze Zhao,Peihao Wang,Zhangyang Wang,Yingbin Liang:
  Meta ControlNet: Enhancing Task Adaptation via Meta Learning.CoRRabs/2312.01255 (2023)
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  Junyuan Hong,Jiachen T. Wang,Chenhui Zhang,Zhangheng Li,Bo Li,Zhangyang Wang:
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  Haoyu Ma,Handong Zhao,Zhe Lin,Ajinkya Kale,Zhangyang Wang,Tong Yu,Jiuxiang Gu,Sunav Choudhary,Xiaohui Xie:
  EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval.CVPR2022:18030-18040
• 
  [c204]
  Mengshu Sun,Zhengang Li,Alec Lu,Haoyu Ma,Geng Yuan,Yanyue Xie,Hao Tang,Yanyu Li,Miriam Leeser,Zhangyang Wang,Xue Lin,Zhenman Fang:
  FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results.DAC2022:1394-1395
• 
  [c203]
  Hanxue Liang,Hehe Fan,Zhiwen Fan,Yi Wang,Tianlong Chen,Yu Cheng,Zhangyang Wang:
  Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction.ECCV (3)2022:156-172
• 
  [c202]
  Ziyu Jiang,Tianlong Chen,Xuxi Chen,Yu Cheng,Luowei Zhou,Lu Yuan,Ahmed Awadallah,Zhangyang Wang:
  DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment.ECCV (20)2022:239-256
• 
  [c201]
  Xuxi Chen,Tianlong Chen,Yu Cheng,Weizhu Chen,Ahmed Awadallah,Zhangyang Wang:
  Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models.ECCV (23)2022:389-405
• 
  [c200]
  Yifan Jiang,Bartlomiej Wronski,Ben Mildenhall,Jonathan T. Barron,Zhangyang Wang,Tianfan Xue:
  Fast and High Quality Image Denoising via Malleable Convolution.ECCV (18)2022:429-446
• 
  [c199]
  Zhiyuan Mao,Ajay Jaiswal,Zhangyang Wang,Stanley H. Chan:
  Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model.ECCV (19)2022:430-446
• 
  [c198]
  Zhiwen Fan,Yifan Jiang,Peihao Wang,Xinyu Gong,Dejia Xu,Zhangyang Wang:
  Unified Implicit Neural Stylization.ECCV (15)2022:636-654
• 
  [c197]
  Wuyang Chen,Xianzhi Du,Fan Yang,Lucas Beyer,Xiaohua Zhai,Tsung-Yi Lin,Huizhong Chen,Jing Li,Xiaodan Song,Zhangyang Wang,Denny Zhou:
  A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation.ECCV (10)2022:711-727
• 
  [c196]
  Dejia Xu,Yifan Jiang,Peihao Wang,Zhiwen Fan,Humphrey Shi,Zhangyang Wang:
  SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image.ECCV (22)2022:736-753
• 
  [c195]
  Junyuan Hong,Zhangyang Wang,Jiayu Zhou:
  Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent.FAccT2022:11-35
• 
  [c194]
  Allen-Jasmin Farcas,Xiaohan Chen,Zhangyang Wang,Radu Marculescu:
  Model elasticity for hardware heterogeneity in federated learning systems.FedEdge@MobiCom2022:19-24
• 
  [c193]
  Zhengang Li,Mengshu Sun,Alec Lu,Haoyu Ma,Geng Yuan,Yanyue Xie,Hao Tang,Yanyu Li,Miriam Leeser,Zhangyang Wang,Xue Lin,Zhenman Fang:
  Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.FPL2022:109-116
• 
  [c192]
  Zepeng Huo,Taowei Ji,Yifei Liang,Shuai Huang,Zhangyang Wang,Xiaoning Qian,Bobak Mortazavi:
  Dynimp: Dynamic Imputation for Wearable Sensing Data through Sensory and Temporal Relatedness.ICASSP2022:3988-3992
• 
  [c191]
  Mu Yang,Shaojin Ding,Tianlong Chen,Tong Wang,Zhangyang Wang:
  Towards Lifelong Learning of Multilingual Text-to-Speech Synthesis.ICASSP2022:8022-8026
• 
  [c190]
  Ajay Jaiswal,Kumar Ashutosh,Justin F. Rousseau,Yifan Peng,Zhangyang Wang,Ying Ding:
  RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging.ICDM2022:981-986
• 
  [c189]
  Wuyang Chen,Wei Huang,Xianzhi Du,Xiaodan Song,Zhangyang Wang,Denny Zhou:
  Auto-scaling Vision Transformers without Training.ICLR2022
• 
  [c188]
  Xiaohan Chen,Jason Zhang,Zhangyang Wang:
  Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently.ICLR2022
• 
  [c187]
  Tianlong Chen,Zhenyu Zhang,Pengjun Wang,Santosh Balachandra,Haoyu Ma,Zehao Wang,Zhangyang Wang:
  Sparsity Winning Twice: Better Robust Generalization from More Efficient Training.ICLR2022
• 
  [c186]
  Shaojin Ding,Tianlong Chen,Zhangyang Wang:
  Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable.ICLR2022
• 
  [c185]
  Junyuan Hong,Haotao Wang,Zhangyang Wang,Jiayu Zhou:
  Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization.ICLR2022
• 
  [c184]
  Tianshu Huang,Tianlong Chen,Sijia Liu,Shiyu Chang,Lisa Amini,Zhangyang Wang:
  Optimizer Amalgamation.ICLR2022
• 
  [c183]
  Shiwei Liu,Tianlong Chen,Zahra Atashgahi,Xiaohan Chen,Ghada Sokar,Elena Mocanu,Mykola Pechenizkiy,Zhangyang Wang,Decebal Constantin Mocanu:
  Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.ICLR2022
• 
  [c182]
  Shiwei Liu,Tianlong Chen,Xiaohan Chen,Li Shen,Decebal Constantin Mocanu,Zhangyang Wang,Mykola Pechenizkiy:
  The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.ICLR2022
• 
  [c181]
  Lu Miao,Xiaolong Luo,Tianlong Chen,Wuyang Chen,Dong Liu,Zhangyang Wang:
  Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining.ICLR2022
• 
  [c180]
  Peihao Wang,Wenqing Zheng,Tianlong Chen,Zhangyang Wang:
  Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.ICLR2022
• 
  [c179]
  Yuning You,Yue Cao,Tianlong Chen,Zhangyang Wang,Yang Shen:
  Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How.ICLR2022
• 
  [c178]
  Shixing Yu,Tianlong Chen,Jiayi Shen,Huan Yuan,Jianchao Tan,Sen Yang,Ji Liu,Zhangyang Wang:
  Unified Visual Transformer Compression.ICLR2022
• 
  [c177]
  Wenqing Zheng,Tianlong Chen,Ting-Kuei Hu,Zhangyang Wang:
  Symbolic Learning to Optimize: Towards Interpretability and Scalability.ICLR2022
• 
  [c176]
  Wenqing Zheng,Edward W. Huang,Nikhil Rao,Sumeet Katariya,Zhangyang Wang,Karthik Subbian:
  Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.ICLR2022
• 
  [c175]
  Randy Ardywibowo,Zepeng Huo,Zhangyang Wang,Bobak J. Mortazavi,Shuai Huang,Xiaoning Qian:
  VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty.ICML2022:865-877
• 
  [c174]
  Tianlong Chen,Xuxi Chen,Xiaolong Ma,Yanzhi Wang,Zhangyang Wang:
  Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets.ICML2022:3025-3039
• 
  [c173]
  Tianlong Chen,Zhenyu Zhang,Sijia Liu,Yang Zhang,Shiyu Chang,Zhangyang Wang:
  Data-Efficient Double-Win Lottery Tickets from Robust Pre-training.ICML2022:3747-3759
• 
  [c172]
  Tianlong Chen,Huan Zhang,Zhenyu Zhang,Shiyu Chang,Sijia Liu,Pin-Yu Chen,Zhangyang Wang:
  Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness.ICML2022:3760-3772
• 
  [c171]
  Ajay Kumar Jaiswal,Haoyu Ma,Tianlong Chen,Ying Ding,Zhangyang Wang:
  Training Your Sparse Neural Network Better with Any Mask.ICML2022:9833-9844
• 
  [c170]
  William T. Redman,Tianlong Chen,Zhangyang Wang,Akshunna S. Dogra:
  Universality of Winning Tickets: A Renormalization Group Perspective.ICML2022:18483-18498
• 
  [c169]
  Peihao Wang,Zhiwen Fan,Tianlong Chen,Zhangyang Wang:
  Neural Implicit Dictionary Learning via Mixture-of-Expert Training.ICML2022:22613-22624
• 
  [c168]
  Haotao Wang,Aston Zhang,Shuai Zheng,Xingjian Shi,Mu Li,Zhangyang Wang:
  Removing Batch Normalization Boosts Adversarial Training.ICML2022:23433-23445
• 
  [c167]
  Haotao Wang,Aston Zhang,Yi Zhu,Shuai Zheng,Mu Li,Alex J. Smola,Zhangyang Wang:
  Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition.ICML2022:23446-23458
• 
  [c166]
  Tianjin Huang,Tianlong Chen,Meng Fang,Vlado Menkovski,Jiaxu Zhao,Lu Yin,Yulong Pei,Decebal Constantin Mocanu,Zhangyang Wang,Mykola Pechenizkiy,Shiwei Liu:
  You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.LoG2022:8
• 
  [c165]
  Gregory Holste,Song Wang,Ziyu Jiang,Thomas C. Shen,George Shih,Ronald M. Summers,Yifan Peng,Zhangyang Wang:
  Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study.DALI@MICCAI2022:22-32
• 
  [c164]
  Zepeng Huo,Xiaoning Qian,Shuai Huang,Zhangyang Wang,Bobak J. Mortazavi:
  Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data.MLHC2022:101-122
• 
  [c163]
  Dejia Xu,Hayk Poghosyan,Shant Navasardyan,Yifan Jiang,Humphrey Shi,Zhangyang Wang:
  ReCoRo: Region-Controllable Robust Light Enhancement with User-Specified Imprecise Masks.ACM Multimedia2022:1376-1386
• 
  [c162]
  Zhaoyi Wan,Dejia Xu,Zhangyang Wang,Jian Wang,Jiebo Luo:
  Cloud2Sketch: Augmenting Clouds with Imaginary Sketches.ACM Multimedia2022:2441-2451
• 
  [c161]
  Zhenyu Wu,Zhou Ren,Yi Wu,Zhangyang Wang,Gang Hua:
  TxVAD: Improved Video Action Detection by Transformers.ACM Multimedia2022:4605-4613
• 
  [c160]
  Ruisi Cai,Zhenyu Zhang,Tianlong Chen,Xiaohan Chen,Zhangyang Wang:
  Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets.NeurIPS2022
• 
  [c159]
  Wuyang Chen,Wei Huang,Xinyu Gong,Boris Hanin,Zhangyang Wang:
  Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis.NeurIPS2022
• 
  [c158]
  Keyu Duan,Zirui Liu,Peihao Wang,Wenqing Zheng,Kaixiong Zhou,Tianlong Chen,Xia Hu,Zhangyang Wang:
  A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.NeurIPS2022
• 
  [c157]
  Ajay Jaiswal,Peihao Wang,Tianlong Chen,Justin F. Rousseau,Ying Ding,Zhangyang Wang:
  Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again.NeurIPS2022
• 
  [c156]
  Ziyu Jiang,Xuxi Chen,Xueqin Huang,Xianzhi Du,Denny Zhou,Zhangyang Wang:
  Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation.NeurIPS2022
• 
  [c155]
  Hanxue Liang,Zhiwen Fan,Rishov Sarkar,Ziyu Jiang,Tianlong Chen,Kai Zou,Yu Cheng,Cong Hao,Zhangyang Wang:
  M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design.NeurIPS2022
• 
  [c154]
  S. P. Sharan,Wenqing Zheng,Kuo-Feng Hsu,Jiarong Xing,Ang Chen,Zhangyang Wang:
  Symbolic Distillation for Learned TCP Congestion Control.NeurIPS2022
• 
  [c153]
  Mukund Varma T.,Xuxi Chen,Zhenyu Zhang,Tianlong Chen,Subhashini Venugopalan,Zhangyang Wang:
  Sparse Winning Tickets are Data-Efficient Image Recognizers.NeurIPS2022
• 
  [c152]
  Haotao Wang,Junyuan Hong,Aston Zhang,Jiayu Zhou,Zhangyang Wang:
  Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork.NeurIPS2022
• 
  [c151]
  Tianxin Wei,Yuning You,Tianlong Chen,Yang Shen,Jingrui He,Zhangyang Wang:
  Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative.NeurIPS2022
• 
  [c150]
  Junru Wu,Yi Liang,Feng Han,Hassan Akbari,Zhangyang Wang,Cong Yu:
  Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization.NeurIPS2022
• 
  [c149]
  Dejia Xu,Peihao Wang,Yifan Jiang,Zhiwen Fan,Zhangyang Wang:
  Signal Processing for Implicit Neural Representations.NeurIPS2022
• 
  [c148]
  Yan Han,Chongyan Chen,Ahmed H. Tewfik,Benjamin S. Glicksberg,Ying Ding,Yifan Peng,Zhangyang Wang:
  Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.WACV2022:1789-1798
• 
  [c147]
  Yifan Jiang,Xinyu Gong,Junru Wu,Humphrey Shi,Zhicheng Yan,Zhangyang Wang:
  Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search.WACV2022:2354-2363
• 
  [c146]
  Xinyu Gong,Wuyang Chen,Tianlong Chen,Zhangyang Wang:
  Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity.WACV2022:2957-2967
• 
  [c145]
  Yuning You,Tianlong Chen,Zhangyang Wang,Yang Shen:
  Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations.WSDM2022:1300-1309
• 
  [i224]
  Yifan Jiang,Bart Wronski,Ben Mildenhall,Jonathan T. Barron,Zhangyang Wang,Tianfan Xue:
  Fast and High-Quality Image Denoising via Malleable Convolutions.CoRRabs/2201.00392 (2022)
• 
  [i223]
  Yuning You,Tianlong Chen,Zhangyang Wang,Yang Shen:
  Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations.CoRRabs/2201.01702 (2022)
• 
  [i222]
  Mengshu Sun,Haoyu Ma,Guoliang Kang,Yifan Jiang,Tianlong Chen,Xiaolong Ma,Zhangyang Wang,Yanzhi Wang:
  VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer.CoRRabs/2201.06618 (2022)
• 
  [i221]
  Shiwei Liu,Tianlong Chen,Xiaohan Chen,Li Shen,Decebal Constantin Mocanu,Zhangyang Wang,Mykola Pechenizkiy:
  The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.CoRRabs/2202.02643 (2022)
• 
  [i220]
  Tianlong Chen,Xuxi Chen,Xiaolong Ma,Yanzhi Wang,Zhangyang Wang:
  Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets.CoRRabs/2202.04736 (2022)
• 
  [i219]
  Tianlong Chen,Zhenyu Zhang,Pengjun Wang,Santosh Balachandra,Haoyu Ma,Zehao Wang,Zhangyang Wang:
  Sparsity Winning Twice: Better Robust Generalization from More Efficient Training.CoRRabs/2202.09844 (2022)
• 
  [i218]
  Wuyang Chen,Wei Huang,Xianzhi Du,Xiaodan Song,Zhangyang Wang,Denny Zhou:
  Auto-scaling Vision Transformers without Training.CoRRabs/2202.11921 (2022)
• 
  [i217]
  Peihao Wang,Wenqing Zheng,Tianlong Chen,Zhangyang Wang:
  Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.CoRRabs/2203.05962 (2022)
• 
  [i216]
  Tianlong Chen,Zhenyu Zhang,Yu Cheng,Ahmed Awadallah,Zhangyang Wang:
  The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy.CoRRabs/2203.06345 (2022)
• 
  [i215]
  Tianshu Huang,Tianlong Chen,Sijia Liu,Shiyu Chang,Lisa Amini,Zhangyang Wang:
  Optimizer Amalgamation.CoRRabs/2203.06474 (2022)
• 
  [i214]
  Wenqing Zheng,Tianlong Chen,Ting-Kuei Hu,Zhangyang Wang:
  Symbolic Learning to Optimize: Towards Interpretability and Scalability.CoRRabs/2203.06578 (2022)
• 
  [i213]
  Shixing Yu,Tianlong Chen,Jiayi Shen,Huan Yuan,Jianchao Tan,Sen Yang,Ji Liu,Zhangyang Wang:
  Unified Visual Transformer Compression.CoRRabs/2203.08243 (2022)
• 
  [i212]
  Junyuan Hong,Haotao Wang,Zhangyang Wang,Jiayu Zhou:
  Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization.CoRRabs/2203.09747 (2022)
• 
  [i211]
  Hongru Yang,Zhangyang Wang:
  On the Neural Tangent Kernel Analysis of Randomly Pruned Wide Neural Networks.CoRRabs/2203.14328 (2022)
• 
  [i210]
  Randy Ardywibowo,Shahin Boluki,Zhangyang Wang,Bobak Mortazavi,Shuai Huang,Xiaoning Qian:
  VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition.CoRRabs/2204.00130 (2022)
• 
  [i209]
  Dejia Xu,Yifan Jiang,Peihao Wang,Zhiwen Fan,Humphrey Shi,Zhangyang Wang:
  SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image.CoRRabs/2204.00928 (2022)
• 
  [i208]
  Diganta Misra,Bharat Runwal,Tianlong Chen,Zhangyang Wang,Irina Rish:
  APP: Anytime Progressive Pruning.CoRRabs/2204.01640 (2022)
• 
  [i207]
  Zhiwen Fan,Yifan Jiang,Peihao Wang,Xinyu Gong,Dejia Xu,Zhangyang Wang:
  Unified Implicit Neural Stylization.CoRRabs/2204.01943 (2022)
• 
  [i206]
  Xin Hu,Zhenyu Wu,Hao-Yu Miao,Siqi Fan,Taiyu Long,Zhenyu Hu,Pengcheng Pi,Yi Wu,Zhou Ren,Zhangyang Wang,Gang Hua:
  E²TAD: An Energy-Efficient Tracking-based Action Detector.CoRRabs/2204.04416 (2022)
• 
  [i205]
  Qiucheng Wu,Yifan Jiang,Junru Wu,Kai Wang,Gong Zhang,Humphrey Shi,Zhangyang Wang,Shiyu Chang:
  Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN.CoRRabs/2204.12696 (2022)
• 
  [i204]
  Wuyang Chen,Wei Huang,Xinyu Gong,Boris Hanin,Zhangyang Wang:
  Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis.CoRRabs/2205.05662 (2022)
• 
  [i203]
  Tianlong Chen,Zhenyu Zhang,Yihua Zhang,Shiyu Chang,Sijia Liu,Zhangyang Wang:
  Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free.CoRRabs/2205.11819 (2022)
• 
  [i202]
  Zhenyu Hu,Zhenyu Wu,Pengcheng Pi,Yunhe Xue,Jiayi Shen,Jianchao Tan,Xiangru Lian,Zhangyang Wang,Ji Liu:
  E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles.CoRRabs/2206.02281 (2022)
• 
  [i201]
  Zeyuan Chen,Yinbo Chen,Jingwen Liu,Xingqian Xu,Vidit Goel,Zhangyang Wang,Humphrey Shi,Xiaolong Wang:
  VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution.CoRRabs/2206.04647 (2022)
• 
  [i200]
  Xinglong Sun,Ali Hassani,Zhangyang Wang,Gao Huang,Humphrey Shi:
  DiSparse: Disentangled Sparsification for Multitask Model Compression.CoRRabs/2206.04662 (2022)
• 
  [i199]
  Tianlong Chen,Zhenyu Zhang,Sijia Liu,Yang Zhang,Shiyu Chang,Zhangyang Wang:
  Data-Efficient Double-Win Lottery Tickets from Robust Pre-training.CoRRabs/2206.04762 (2022)
• 
  [i198]
  Priya Narayanan,Xin Hu,Zhenyu Wu,Matthew D. Thielke,John G. Rogers,Andre V. Harrison,John A. D'Agostino,James D. Brown,Long P. Quang,James R. Uplinger,Heesung Kwon,Zhangyang Wang:
  A Multi-purpose Real Haze Benchmark with Quantifiable Haze Levels and Ground Truth.CoRRabs/2206.06427 (2022)
• 
  [i197]
  Zhangheng Li,Tianlong Chen,Linyi Li,Bo Li,Zhangyang Wang:
  Can pruning improve certified robustness of neural networks?CoRRabs/2206.07311 (2022)
• 
  [i196]
  Tianlong Chen,Huan Zhang,Zhenyu Zhang,Shiyu Chang,Sijia Liu,Pin-Yu Chen,Zhangyang Wang:
  Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness.CoRRabs/2206.07839 (2022)
• 
  [i195]
  Tianlong Chen,Sijia Liu,Shiyu Chang,Lisa Amini,Zhangyang Wang:
  Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning.CoRRabs/2206.07842 (2022)
• 
  [i194]
  Ajay Jaiswal,Haoyu Ma,Tianlong Chen,Ying Ding,Zhangyang Wang:
  Training Your Sparse Neural Network Better with Any Mask.CoRRabs/2206.12755 (2022)
• 
  [i193]
  Haotao Wang,Aston Zhang,Shuai Zheng,Xingjian Shi,Mu Li,Zhangyang Wang:
  Removing Batch Normalization Boosts Adversarial Training.CoRRabs/2207.01156 (2022)
• 
  [i192]
  Haotao Wang,Aston Zhang,Yi Zhu,Shuai Zheng,Mu Li,Alex Smola,Zhangyang Wang:
  Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition.CoRRabs/2207.01160 (2022)
• 
  [i191]
  Tianlong Chen,Peihao Wang,Zhiwen Fan,Zhangyang Wang:
  Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations.CoRRabs/2207.01164 (2022)
• 
  [i190]
  Haotao Wang,Junyuan Hong,Jiayu Zhou,Zhangyang Wang:
  How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts.CoRRabs/2207.01168 (2022)
• 
  [i189]
  Shiwei Liu,Tianlong Chen,Xiaohan Chen,Xuxi Chen,Qiao Xiao,Boqian Wu,Mykola Pechenizkiy,Decebal Constantin Mocanu,Zhangyang Wang:
  More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity.CoRRabs/2207.03620 (2022)
• 
  [i188]
  Peihao Wang,Zhiwen Fan,Tianlong Chen,Zhangyang Wang:
  Neural Implicit Dictionary via Mixture-of-Expert Training.CoRRabs/2207.03691 (2022)
• 
  [i187]
  Yan Han,Gregory Holste,Ying Ding,Ahmed H. Tewfik,Yifan Peng,Zhangyang Wang:
  Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays.CoRRabs/2207.04394 (2022)
• 
  [i186]
  Peihao Wang,Shenghao Yang,Yunyu Liu,Zhangyang Wang,Pan Li:
  Equivariant Hypergraph Diffusion Neural Operators.CoRRabs/2207.06680 (2022)
• 
  [i185]
  Zhiyuan Mao,Ajay Jaiswal,Zhangyang Wang,Stanley H. Chan:
  Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model.CoRRabs/2207.10040 (2022)
• 
  [i184]
  Zepeng Huo,Xiaoning Qian,Shuai Huang,Zhangyang Wang,Bobak Mortazavi:
  Density-Aware Personalized Training for Risk Prediction in Imbalanced Medical Data.CoRRabs/2207.11382 (2022)
• 
  [i183]
  Gregory Holste,Evangelos K. Oikonomou,Bobak Mortazavi,Zhangyang Wang,Rohan Khera:
  Self-Supervised Learning of Echocardiogram Videos Enables Data-Efficient Clinical Diagnosis.CoRRabs/2207.11581 (2022)
• 
  [i182]
  Mukund Varma T.,Peihao Wang,Xuxi Chen,Tianlong Chen,Subhashini Venugopalan,Zhangyang Wang:
  Is Attention All NeRF Needs?CoRRabs/2207.13298 (2022)
• 
  [i181]
  Zhengang Li,Mengshu Sun,Alec Lu,Haoyu Ma,Geng Yuan,Yanyue Xie,Hao Tang,Yanyu Li,Miriam Leeser,Zhangyang Wang,Xue Lin,Zhenman Fang:
  Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.CoRRabs/2208.05163 (2022)
• 
  [i180]
  Gregory Holste,Song Wang,Ziyu Jiang,Thomas C. Shen,George Shih,Ronald M. Summers,Yifan Peng,Zhangyang Wang:
  Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study.CoRRabs/2208.13365 (2022)
• 
  [i179]
  Yi Wang,Zhiwen Fan,Tianlong Chen,Hehe Fan,Zhangyang Wang:
  Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?CoRRabs/2209.07026 (2022)
• 
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  Zhiwen Fan,Peihao Wang,Yifan Jiang,Xinyu Gong,Dejia Xu,Zhangyang Wang:
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  Zepeng Huo,Taowei Ji,Yifei Liang,Shuai Huang,Zhangyang Wang,Xiaoning Qian,Bobak Mortazavi:
  DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness.CoRRabs/2209.15415 (2022)
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  Tianxin Wei,Yuning You,Tianlong Chen,Yang Shen,Jingrui He,Zhangyang Wang:
  Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative.CoRRabs/2210.03801 (2022)
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  Haotao Wang,Junyuan Hong,Aston Zhang,Jiayu Zhou,Zhangyang Wang:
  Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork.CoRRabs/2210.06428 (2022)
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  Keyu Duan,Zirui Liu,Peihao Wang,Wenqing Zheng,Kaixiong Zhou,Tianlong Chen,Xia Hu,Zhangyang Wang:
  A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking.CoRRabs/2210.07494 (2022)
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  Ajay Jaiswal,Peihao Wang,Tianlong Chen,Justin F. Rousseau,Ying Ding,Zhangyang Wang:
  Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again.CoRRabs/2210.08122 (2022)
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  Ajay Jaiswal,Kumar Ashutosh,Justin F. Rousseau,Yifan Peng,Zhangyang Wang,Ying Ding:
  RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging.CoRRabs/2210.08388 (2022)
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  Yimeng Zhang,Akshay Karkal Kamath,Qiucheng Wu,Zhiwen Fan,Wuyang Chen,Zhangyang Wang,Shiyu Chang,Sijia Liu,Cong Hao:
  Data-Model-Circuit Tri-Design for Ultra-Light Video Intelligence on Edge Devices.CoRRabs/2210.08578 (2022)
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  Dejia Xu,Peihao Wang,Yifan Jiang,Zhiwen Fan,Zhangyang Wang:
  Signal Processing for Implicit Neural Representations.CoRRabs/2210.08772 (2022)
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  Hanxue Liang,Zhiwen Fan,Rishov Sarkar,Ziyu Jiang,Tianlong Chen,Kai Zou,Yu Cheng,Cong Hao,Zhangyang Wang:
  M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design.CoRRabs/2210.14793 (2022)
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  S. P. Sharan,Wenqing Zheng,Kuo-Feng Hsu,Jiarong Xing,Ang Chen,Zhangyang Wang:
  Symbolic Distillation for Learned TCP Congestion Control.CoRRabs/2210.16987 (2022)
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  Junru Wu,Yi Liang,Feng Han,Hassan Akbari,Zhangyang Wang,Cong Yu:
  Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization.CoRRabs/2211.02077 (2022)
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  Steven Walton,Ali Hassani,Xingqian Xu,Zhangyang Wang,Humphrey Shi:
  StyleNAT: Giving Each Head a New Perspective.CoRRabs/2211.05770 (2022)
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  Kaixiong Zhou,Zhenyu Zhang,Shengyuan Chen,Tianlong Chen,Xiao Huang,Zhangyang Wang,Xia Hu:
  QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks.CoRRabs/2211.07379 (2022)
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  Xingqian Xu,Zhangyang Wang,Eric J. Zhang,Kai Wang,Humphrey Shi:
  Versatile Diffusion: Text, Images and Variations All in One Diffusion Model.CoRRabs/2211.08332 (2022)
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  Yifan Jiang,Peter Hedman,Ben Mildenhall,Dejia Xu,Jonathan T. Barron,Zhangyang Wang,Tianfan Xue:
  AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training.CoRRabs/2211.09682 (2022)
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  Zhenglun Kong,Haoyu Ma,Geng Yuan,Mengshu Sun,Yanyue Xie,Peiyan Dong,Xin Meng,Xuan Shen,Hao Tang,Minghai Qin,Tianlong Chen,Xiaolong Ma,Xiaohui Xie,Zhangyang Wang,Yanzhi Wang:
  Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.CoRRabs/2211.10801 (2022)
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  Yan Han,Edward W. Huang,Wenqing Zheng,Nikhil Rao,Zhangyang Wang,Karthik Subbian:
  Search Behavior Prediction: A Hypergraph Perspective.CoRRabs/2211.13328 (2022)
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  Tianjin Huang,Tianlong Chen,Meng Fang,Vlado Menkovski,Jiaxu Zhao,Lu Yin,Yulong Pei,Decebal Constantin Mocanu,Zhangyang Wang,Mykola Pechenizkiy,Shiwei Liu:
  You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.CoRRabs/2211.15335 (2022)
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  Soraia Raupp Musse,Roberto M. Cesar Jr.,Nuria Pelechano,Zhangyang (Atlas) Wang:
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  Sreya Banerjee,Rosaura G. VidalMata,Zhangyang Wang,Walter J. Scheirer:
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  Siyuan Li,Wenqi Ren,Feng Wang,Iago Breno Araujo,Eric K. Tokuda,Roberto Hirata Junior,Roberto M. Cesar Jr.,Zhangyang Wang,Xiaochun Cao:
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  Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition.Int. J. Comput. Vis.129(5):1768-1786 (2021)
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  Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts.J. Chem. Inf. Model.61(1):46-66 (2021)
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  Rosaura G. VidalMata,Sreya Banerjee,Brandon RichardWebster,Michael Albright,Pedro Davalos,Scott McCloskey,Ben Miller,Asong Tambo,Sushobhan Ghosh,Sudarshan Nagesh,Ye Yuan,Yueyu Hu,Junru Wu,Wenhan Yang,Xiaoshuai Zhang,Jiaying Liu,Zhangyang Wang,Hwann-Tzong Chen,Tzu-Wei Huang,Wen-Chi Chin,Yi-Chun Li,Mahmoud Lababidi,Charles Otto,Walter J. Scheirer:
  Bridging the Gap Between Computational Photography and Visual Recognition.IEEE Trans. Pattern Anal. Mach. Intell.43(12):4272-4290 (2021)
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  Contrastive learning improves critical event prediction in COVID-19 patients.Patterns2(12):100389 (2021)
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  Deep Adversarial Data Augmentation for Extremely Low Data Regimes.IEEE Trans. Circuits Syst. Video Technol.31(1):15-28 (2021)
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  Fast Sequential Feature Extraction for Recurrent Neural Network-Based Hyperspectral Image Classification.IEEE Trans. Geosci. Remote. Sens.59(7):5920-5937 (2021)
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  EnlightenGAN: Deep Light Enhancement Without Paired Supervision.IEEE Trans. Image Process.30:2340-2349 (2021)
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  Shuai Yang,Zhangyang Wang,Jiaying Liu,Zongming Guo:
  Controllable Sketch-to-Image Translation for Robust Face Synthesis.IEEE Trans. Image Process.30:8797-8810 (2021)
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  Sicong Liu,Junzhao Du,Kaiming Nan,Zimu Zhou,Hui Liu,Zhangyang Wang,Yingyan Lin:
  AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles.IEEE Trans. Mob. Comput.20(12):3282-3297 (2021)
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  Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study.ACM Trans. Multim. Comput. Commun. Appl.17(3s):114:1-114:18 (2021)
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  Learning Model-Based Privacy Protection under Budget Constraints.AAAI2021:7702-7710
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  Xiaohan Chen,Yu Cheng,Shuohang Wang,Zhe Gan,Zhangyang Wang,Jingjing Liu:
  EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets.ACL/IJCNLP (1)2021:2195-2207
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  Xiao Hu,Ming-Ching Chang,Yuwei Chen,Rahul Sridhar,Zhenyu Hu,Yunhe Xue,Zhenyu Wu,Pengcheng Pi,Jiayi Shen,Jianchao Tan,Xiangru Lian,Ji Liu,Zhangyang Wang,Chia-Hsiang Liu,Yu-Shin Han,Yuan-Yao Sung,Yi Lee,Kai-Chiang Wu,Wei-Xiang Guo,Rick Lee,Shengwen Liang,Zerun Wang,Guiguang Ding,Gang Zhang,Teng Xi,Yubei Chen,Han Cai,Ligeng Zhu,Zhekai Zhang,Song Han,Seonghwan Jeong,YoungMin Kwon,Tianzhe Wang,Jeffery Pan:
  The 2020 Low-Power Computer Vision Challenge.AICAS2021:1-4
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  Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data.BHI2021:1-4
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  DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records.BHI2021:1-4
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  Peibei Cao,Zhangyang Wang,Kede Ma:
  Debiased Subjective Assessment of Real-World Image Enhancement.CVPR2021:711-721
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  Antonio A. Abello,Roberto Hirata,Zhangyang Wang:
  Dissecting the High-Frequency Bias in Convolutional Neural Networks.CVPR Workshops2021:863-871
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  Zhenyu Hu,Pengcheng Pi,Zhenyu Wu,Yunhe Xue,Jiayi Shen,Jianchao Tan,Xiangru Lian,Zhangyang Wang,Ji Liu:
  E2VTS: Energy-Efficient Video Text Spotting From Unmanned Aerial Vehicles.CVPR Workshops2021:905-913
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  Tianlong Chen,Zhenyu Zhang,Xu Ouyang,Zechun Liu,Zhiqiang Shen,Zhangyang Wang:
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  Zhihua Wang,Haotao Wang,Tianlong Chen,Zhangyang Wang,Kede Ma:
  Troubleshooting Blind Image Quality Models in the Wild.CVPR2021:16256-16265
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  Tianlong Chen,Jonathan Frankle,Shiyu Chang,Sijia Liu,Yang Zhang,Michael Carbin,Zhangyang Wang:
  The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models.CVPR2021:16306-16316
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  Yonggan Fu,Zhongzhi Yu,Yongan Zhang,Yifan Jiang,Chaojian Li,Yongyuan Liang,Mingchao Jiang,Zhangyang Wang,Yingyan Lin:
  InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks.DAC2021:757-762
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  Zhe Zhang,Zhangyang Wang,Angela Li,Xinyue Ye,E. Lynn Usery,Diya Li:
  An Al-based Spatial Knowledge Graph for Enhancing Spatial Data and Knowledge Search and Discovery.GeoSearch@SIGSPATIAL2021:13-17
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  Ting-Kuei Hu,Fernando Gama,Tianlong Chen,Zhangyang Wang,Alejandro Ribeiro,Brian M. Sadler:
  VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms.ICASSP2021:4900-4904
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  SSH: A Self-Supervised Framework for Image Harmonization.ICCV2021:4812-4821
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  Yi Guo,Huan Yuan,Jianchao Tan,Zhangyang Wang,Sen Yang,Ji Liu:
  GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization.ICCV2021:5219-5230
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  Xinyu Gong,Heng Wang,Zheng Shou,Matt Feiszli,Zhangyang Wang,Zhicheng Yan:
  Searching for Two-Stream Models in Multivariate Space for Video Recognition.ICCV2021:8013-8022
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  Wuyang Chen,Xinyu Gong,Zhangyang Wang:
  Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective.ICLR2021
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  Wuyang Chen,Zhiding Yu,Shalini De Mello,Sifei Liu,José M. Álvarez,Zhangyang Wang,Anima Anandkumar:
  Contrastive Syn-to-Real Generalization.ICLR2021
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  Tianlong Chen,Zhenyu Zhang,Sijia Liu,Shiyu Chang,Zhangyang Wang:
  Robust Overfitting may be mitigated by properly learned smoothening.ICLR2021
• 
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  Tianlong Chen,Zhenyu Zhang,Sijia Liu,Shiyu Chang,Zhangyang Wang:
  Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning.ICLR2021
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  Haoyu Ma,Tianlong Chen,Ting-Kuei Hu,Chenyu You,Xiaohui Xie,Zhangyang Wang:
  Undistillable: Making A Nasty Teacher That CANNOT teach students.ICLR2021
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  Tianjian Meng,Xiaohan Chen,Yifan Jiang,Zhangyang Wang:
  A Design Space Study for LISTA and Beyond.ICLR2021
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  Jiayi Shen,Xiaohan Chen,Howard Heaton,Tianlong Chen,Jialin Liu,Wotao Yin,Zhangyang Wang:
  Learning A Minimax Optimizer: A Pilot Study.ICLR2021
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  Jiayi Shen,Haotao Wang,Shupeng Gui,Jianchao Tan,Zhangyang Wang,Ji Liu:
  UMEC: Unified model and embedding compression for efficient recommendation systems.ICLR2021
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  Aaditya Singh,Shreeshail Hingane,Xinyu Gong,Zhangyang Wang:
  SAFIN: Arbitrary Style Transfer with Self-Attentive Factorized Instance Normalization.ICME2021:1-6
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  Tianlong Chen,Yongduo Sui,Xuxi Chen,Aston Zhang,Zhangyang Wang:
  A Unified Lottery Ticket Hypothesis for Graph Neural Networks.ICML2021:1695-1706
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  Ziyu Jiang,Tianlong Chen,Bobak J. Mortazavi,Zhangyang Wang:
  Self-Damaging Contrastive Learning.ICML2021:4927-4939
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  Yuning You,Tianlong Chen,Yang Shen,Zhangyang Wang:
  Graph Contrastive Learning Automated.ICML2021:12121-12132
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  Zhenyu Zhang,Xuxi Chen,Tianlong Chen,Zhangyang Wang:
  Efficient Lottery Ticket Finding: Less Data is More.ICML2021:12380-12390
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  Mingkang Zhu,Tianlong Chen,Zhangyang Wang:
  Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm.ICML2021:12868-12877
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  Junyuan Hong,Zhuangdi Zhu,Shuyang Yu,Zhangyang Wang,Hiroko H. Dodge,Jiayu Zhou:
  Federated Adversarial Debiasing for Fair and Transferable Representations.KDD2021:617-627
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  Haotao Wang,Chaowei Xiao,Jean Kossaifi,Zhiding Yu,Anima Anandkumar,Zhangyang Wang:
  AugMax: Adversarial Composition of Random Augmentations for Robust Training.NeurIPS2021:237-250
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  Xuxi Chen,Tianlong Chen,Zhenyu Zhang,Zhangyang Wang:
  You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership.NeurIPS2021:1780-1791
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  Ziyu Jiang,Tianlong Chen,Ting Chen,Zhangyang Wang:
  Improving Contrastive Learning on Imbalanced Data via Open-World Sampling.NeurIPS2021:5997-6009
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  Shiwei Liu,Tianlong Chen,Xiaohan Chen,Zahra Atashgahi,Lu Yin,Huanyu Kou,Li Shen,Mykola Pechenizkiy,Zhangyang Wang,Decebal Constantin Mocanu:
  Sparse Training via Boosting Pruning Plasticity with Neuroregeneration.NeurIPS2021:9908-9922
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  Xiaohan Chen,Jialin Liu,Zhangyang Wang,Wotao Yin:
  Hyperparameter Tuning is All You Need for LISTA.NeurIPS2021:11678-11689
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  Wenqing Zheng,Qiangqiang Guo,Hao Yang,Peihao Wang,Zhangyang Wang:
  Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems.NeurIPS2021:12141-12153
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  Xiaolong Ma,Geng Yuan,Xuan Shen,Tianlong Chen,Xuxi Chen,Xiaohan Chen,Ning Liu,Minghai Qin,Sijia Liu,Zhangyang Wang,Yanzhi Wang:
  Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?NeurIPS2021:12749-12760
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  Yifan Jiang,Shiyu Chang,Zhangyang Wang:
  TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up.NeurIPS2021:14745-14758
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  Tianlong Chen,Yu Cheng,Zhe Gan,Lu Yuan,Lei Zhang,Zhangyang Wang:
  Chasing Sparsity in Vision Transformers: An End-to-End Exploration.NeurIPS2021:19974-19988
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  Tianlong Chen,Yu Cheng,Zhe Gan,Jingjing Liu,Zhangyang Wang:
  Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective.NeurIPS2021:20941-20955
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  Bowen Pan,Rameswar Panda,Yifan Jiang,Zhangyang Wang,Rogério Feris,Aude Oliva:
  IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers.NeurIPS2021:24898-24911
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  Xiaohan Chen,Yu Cheng,Shuohang Wang,Zhe Gan,Jingjing Liu,Zhangyang Wang:
  The Elastic Lottery Ticket Hypothesis.NeurIPS2021:26609-26621
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  Junru Wu,Xiyang Dai,Dongdong Chen,Yinpeng Chen,Mengchen Liu,Ye Yu,Zhangyang Wang,Zicheng Liu,Mei Chen,Lu Yuan:
  Stronger NAS with Weaker Predictors.NeurIPS2021:28904-28918
• 
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  Xiaohan Chen,Yu Cheng,Shuohang Wang,Zhe Gan,Zhangyang Wang,Jingjing Liu:
  EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets.CoRRabs/2101.00063 (2021)
• 
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  Xiaohan Chen,Yang Zhao,Yue Wang,Pengfei Xu,Haoran You,Chaojian Li,Yonggan Fu,Yingyan Lin,Zhangyang Wang:
  SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training.CoRRabs/2101.01163 (2021)
• 
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  Haoyu Ma,Tianlong Chen,Ting-Kuei Hu,Chenyu You,Xiaohui Xie,Zhangyang Wang:
  Good Students Play Big Lottery Better.CoRRabs/2101.03255 (2021)
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  Junyuan Hong,Zhangyang Wang,Jiayu Zhou:
  On Dynamic Noise Influence in Differentially Private Learning.CoRRabs/2101.07413 (2021)
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  Tianlong Chen,Yongduo Sui,Xuxi Chen,Aston Zhang,Zhangyang Wang:
  A Unified Lottery Ticket Hypothesis for Graph Neural Networks.CoRRabs/2102.06790 (2021)
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  Yifan Jiang,Shiyu Chang,Zhangyang Wang:
  TransGAN: Two Transformers Can Make One Strong GAN.CoRRabs/2102.07074 (2021)
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  Junru Wu,Xiyang Dai,Dongdong Chen,Yinpeng Chen,Mengchen Liu,Ye Yu,Zhangyang Wang,Zicheng Liu,Mei Chen,Lu Yuan:
  Weak NAS Predictors Are All You Need.CoRRabs/2102.10490 (2021)
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  Xinyu Gong,Wuyang Chen,Tianlong Chen,Zhangyang Wang:
  Sandwich Batch Normalization.CoRRabs/2102.11382 (2021)
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  Wuyang Chen,Xinyu Gong,Zhangyang Wang:
  Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective.CoRRabs/2102.11535 (2021)
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  Jiebin Yan,Yu Zhong,Yuming Fang,Zhangyang Wang,Kede Ma:
  Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition.CoRRabs/2103.00259 (2021)
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  Tianlong Chen,Yu Cheng,Zhe Gan,Jingjing Liu,Zhangyang Wang:
  Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly.CoRRabs/2103.00397 (2021)
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  Tianlong Chen,Yu Cheng,Zhe Gan,Jianfeng Wang,Lijuan Wang,Zhangyang Wang,Jingjing Liu:
  Adversarial Feature Augmentation and Normalization for Visual Recognition.CoRRabs/2103.12171 (2021)
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  Xingqian Xu,Zhangyang Wang,Humphrey Shi:
  UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution.CoRRabs/2103.12716 (2021)
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  Tianlong Chen,Xiaohan Chen,Wuyang Chen,Howard Heaton,Jialin Liu,Zhangyang Wang,Wotao Yin:
  Learning to Optimize: A Primer and A Benchmark.CoRRabs/2103.12828 (2021)
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  Xiaohan Chen,Yu Cheng,Shuohang Wang,Zhe Gan,Jingjing Liu,Zhangyang Wang:
  The Elastic Lottery Ticket Hypothesis.CoRRabs/2103.16547 (2021)
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  Wuyang Chen,Zhiding Yu,Shalini De Mello,Sifei Liu,José M. Álvarez,Zhangyang Wang,Anima Anandkumar:
  Contrastive Syn-to-Real Generalization.CoRRabs/2104.02290 (2021)
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  Tingyi Wanyan,Jing Zhang,Ying Ding,Ariful Azad,Zhangyang Wang,Benjamin S. Glicksberg:
  Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data.CoRRabs/2104.02932 (2021)
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  Tianjian Meng,Xiaohan Chen,Yifan Jiang,Zhangyang Wang:
  A Design Space Study for LISTA and Beyond.CoRRabs/2104.04110 (2021)
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  Yan Han,Chongyan Chen,Ahmed H. Tewfik,Benjamin S. Glicksberg,Ying Ding,Yifan Peng,Zhangyang Wang:
  Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.CoRRabs/2104.04968 (2021)
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  Tianlong Chen,Zhenyu Zhang,Xu Ouyang,Zechun Liu,Zhiqiang Shen,Zhangyang Wang:
  "BNN - BN = ?": Training Binary Neural Networks without Batch Normalization.CoRRabs/2104.08215 (2021)
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  Yonggan Fu,Zhongzhi Yu,Yongan Zhang,Yifan Jiang,Chaojian Li,Yongyuan Liang,Mingchao Jiang,Zhangyang Wang,Yingyan Lin:
  InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks.CoRRabs/2104.10853 (2021)
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  Arman Maesumi,Mingkang Zhu,Yi Wang,Tianlong Chen,Zhangyang Wang,Chandrajit Bajaj:
  Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors.CoRRabs/2104.11101 (2021)
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  Aaditya Singh,Shreeshail Hingane,Xinyu Gong,Zhangyang Wang:
  SAFIN: Arbitrary Style Transfer With Self-Attentive Factorized Instance Normalization.CoRRabs/2105.06129 (2021)
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  Zhihua Wang,Haotao Wang,Tianlong Chen,Zhangyang Wang,Kede Ma:
  Troubleshooting Blind Image Quality Models in the Wild.CoRRabs/2105.06747 (2021)
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  Haoyu Ma,Tianlong Chen,Ting-Kuei Hu,Chenyu You,Xiaohui Xie,Zhangyang Wang:
  Undistillable: Making A Nasty Teacher That CANNOT teach students.CoRRabs/2105.07381 (2021)
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  Ziyu Jiang,Tianlong Chen,Bobak Mortazavi,Zhangyang Wang:
  Self-Damaging Contrastive Learning.CoRRabs/2106.02990 (2021)
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  Zhenyu Zhang,Xuxi Chen,Tianlong Chen,Zhangyang Wang:
  Efficient Lottery Ticket Finding: Less Data is More.CoRRabs/2106.03225 (2021)
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  Tianlong Chen,Yu Cheng,Zhe Gan,Lu Yuan,Lei Zhang,Zhangyang Wang:
  Chasing Sparsity in Vision Transformers: An End-to-End Exploration.CoRRabs/2106.04533 (2021)
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  Sina Mohseni,Haotao Wang,Zhiding Yu,Chaowei Xiao,Zhangyang Wang,Jay Yadawa:
  Practical Machine Learning Safety: A Survey and Primer.CoRRabs/2106.04823 (2021)
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  Mingkang Zhu,Tianlong Chen,Zhangyang Wang:
  Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm.CoRRabs/2106.06027 (2021)
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  Yuning You,Tianlong Chen,Yang Shen,Zhangyang Wang:
  Graph Contrastive Learning Automated.CoRRabs/2106.07594 (2021)
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  Peibei Cao,Zhangyang Wang,Kede Ma:
  Debiased Subjective Assessment of Real-World Image Enhancement.CoRRabs/2106.10080 (2021)
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  Junyuan Hong,Haotao Wang,Zhangyang Wang,Jiayu Zhou:
  Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning.CoRRabs/2106.10196 (2021)
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  Shiwei Liu,Tianlong Chen,Xiaohan Chen,Zahra Atashgahi,Lu Yin,Huanyu Kou,Li Shen,Mykola Pechenizkiy,Zhangyang Wang,Decebal Constantin Mocanu:
  Sparse Training via Boosting Pruning Plasticity with Neuroregeneration.CoRRabs/2106.10404 (2021)
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  Bowen Pan,Yifan Jiang,Rameswar Panda,Zhangyang Wang,Rogério Feris,Aude Oliva:
  IA-RED²: Interpretability-Aware Redundancy Reduction for Vision Transformers.CoRRabs/2106.12620 (2021)
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  Ting-Kuei Hu,Fernando Gama,Tianlong Chen,Wenqing Zheng,Zhangyang Wang,Alejandro Ribeiro,Brian M. Sadler:
  Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks.CoRRabs/2106.13358 (2021)
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  Shiwei Liu,Tianlong Chen,Zahra Atashgahi,Xiaohan Chen,Ghada Sokar,Elena Mocanu,Mykola Pechenizkiy,Zhangyang Wang,Decebal Constantin Mocanu:
  FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity.CoRRabs/2106.14568 (2021)
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  Xiaolong Ma,Geng Yuan,Xuan Shen,Tianlong Chen,Xuxi Chen,Xiaohan Chen,Ning Liu,Minghai Qin,Sijia Liu,Zhangyang Wang,Yanzhi Wang:
  Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?CoRRabs/2107.00166 (2021)
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  Chaojian Li,Wuyang Chen,Yuchen Gu,Tianlong Chen,Yonggan Fu,Zhangyang Wang,Yingyan Lin:
  DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference.CoRRabs/2107.07706 (2021)
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  Zhenyu Wu,Zhaowen Wang,Ye Yuan,Jianming Zhang,Zhangyang Wang,Hailin Jin:
  Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study.CoRRabs/2107.12202 (2021)
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  Zeyuan Chen,Yifan Jiang,Dong Liu,Zhangyang Wang:
  CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise.CoRRabs/2108.00478 (2021)
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  Yifan Jiang,He Zhang,Jianming Zhang,Yilin Wang,Zhe Lin,Kalyan Sunkavalli,Simon Chen,Sohrab Amirghodsi,Sarah Kong,Zhangyang Wang:
  SSH: A Self-Supervised Framework for Image Harmonization.CoRRabs/2108.06805 (2021)
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  Tianlong Chen,Kaixiong Zhou,Keyu Duan,Wenqing Zheng,Peihao Wang,Xia Hu,Zhangyang Wang:
  Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.CoRRabs/2108.10521 (2021)
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  Wuyang Chen,Xinyu Gong,Yunchao Wei,Humphrey Shi,Zhicheng Yan,Yi Yang,Zhangyang Wang:
  Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics.CoRRabs/2108.11939 (2021)
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  Xinyu Gong,Heng Wang,Zheng Shou,Matt Feiszli,Zhangyang Wang,Zhicheng Yan:
  Searching for Two-Stream Models in Multivariate Space for Video Recognition.CoRRabs/2108.12957 (2021)
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  Ye Yuan,Wuyang Chen,Zhaowen Wang,Matthew Fisher,Zhifei Zhang,Zhangyang Wang,Hailin Jin:
  Font Completion and Manipulation by Cycling Between Multi-Modality Representations.CoRRabs/2108.12965 (2021)
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  Yi Guo,Huan Yuan,Jianchao Tan,Zhangyang Wang,Sen Yang,Ji Liu:
  GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization.CoRRabs/2109.02220 (2021)
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  Abduallah A. Mohamed,Huancheng Chen,Zhangyang Wang,Christian G. Claudel:
  Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs.CoRRabs/2109.10257 (2021)
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  William T. Redman,Tianlong Chen,Akshunna S. Dogra,Zhangyang Wang:
  Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective.CoRRabs/2110.03210 (2021)
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  Mu Yang,Shaojin Ding,Tianlong Chen,Tong Wang,Zhangyang Wang:
  Towards Lifelong Learning of Multilingual Text-To-Speech Synthesis.CoRRabs/2110.04482 (2021)
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  Haotao Wang,Chaowei Xiao,Jean Kossaifi,Zhiding Yu,Anima Anandkumar,Zhangyang Wang:
  AugMax: Adversarial Composition of Random Augmentations for Robust Training.CoRRabs/2110.13771 (2021)
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  Xiaohan Chen,Jialin Liu,Zhangyang Wang,Wotao Yin:
  Hyperparameter Tuning is All You Need for LISTA.CoRRabs/2110.15900 (2021)
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  Wenqing Zheng,Qiangqiang Guo,Hao Yang,Peihao Wang,Zhangyang Wang:
  Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems.CoRRabs/2110.15926 (2021)
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  Xuxi Chen,Tianlong Chen,Yu Cheng,Weizhu Chen,Zhangyang Wang,Ahmed Hassan Awadallah:
  DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models.CoRRabs/2111.00160 (2021)
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  Xuxi Chen,Tianlong Chen,Zhenyu Zhang,Zhangyang Wang:
  You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership.CoRRabs/2111.00162 (2021)
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  Ziyu Jiang,Tianlong Chen,Ting Chen,Zhangyang Wang:
  Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling.CoRRabs/2111.01004 (2021)
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  Wenqing Zheng,Edward W. Huang,Nikhil Rao,Sumeet Katariya,Zhangyang Wang,Karthik Subbian:
  Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods.CoRRabs/2111.04840 (2021)
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  Yifan Jiang,Xinyu Gong,Junru Wu,Humphrey Shi,Zhicheng Yan,Zhangyang Wang:
  Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search.CoRRabs/2112.04710 (2021)
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  Wuyang Chen,Xianzhi Du,Fan Yang,Lucas Beyer,Xiaohua Zhai,Tsung-Yi Lin,Huizhong Chen,Jing Li,Xiaodan Song,Zhangyang Wang,Denny Zhou:
  A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation.CoRRabs/2112.09747 (2021)
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  Sameer Bibikar,Haris Vikalo,Zhangyang Wang,Xiaohan Chen:
  Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better.CoRRabs/2112.09824 (2021)
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  Yue Wang,Jianghao Shen,Ting-Kuei Hu,Pengfei Xu,Tan M. Nguyen,Richard G. Baraniuk,Zhangyang Wang,Yingyan Lin:
  Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference.IEEE J. Sel. Top. Signal Process.14(4):623-633 (2020)
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  Hongyu Xu,Zhangyang Wang,Haichuan Yang,Ding Liu,Ji Liu:
  Learning Simple Thresholded Features With Sparse Support Recovery.IEEE Trans. Circuits Syst. Video Technol.30(4):983-997 (2020)
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  Dong Liu,Ke Sun,Zhangyang Wang,Runsheng Liu,Zheng-Jun Zha:
  Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding.IEEE Trans. Circuits Syst. Video Technol.30(9):3068-3080 (2020)
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  Ding Liu,Bihan Wen,Jianbo Jiao,Xianming Liu,Zhangyang Wang,Thomas S. Huang:
  Connecting Image Denoising and High-Level Vision Tasks via Deep Learning.IEEE Trans. Image Process.29:3695-3706 (2020)
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  Wenhan Yang,Ye Yuan,Wenqi Ren,Jiaying Liu,Walter J. Scheirer,Zhangyang Wang,Taiheng Zhang,Qiaoyong Zhong,Di Xie,Shiliang Pu,Yuqiang Zheng,Yanyun Qu,Yuhong Xie,Liang Chen,Zhonghao Li,Chen Hong,Hao Jiang,Siyuan Yang,Yan Liu,Xiaochao Qu,Pengfei Wan,Shuai Zheng,Minhui Zhong,Taiyi Su,Lingzhi He,Yandong Guo,Yao Zhao,Zhenfeng Zhu,Jinxiu Liang,Jingwen Wang,Tianyi Chen,Yuhui Quan,Yong Xu,Bo Liu,Xin Liu,Qi Sun,Tingyu Lin,Xiaochuan Li,Feng Lu,Lin Gu,Shengdi Zhou,Cong Cao,Shifeng Zhang,Cheng Chi,Chubin Zhuang,Zhen Lei,Stan Z. Li,Shizheng Wang,Ruizhe Liu,Dong Yi,Zheming Zuo,Jianning Chi,Huan Wang,Kai Wang,Yixiu Liu,Xingyu Gao,Zhenyu Chen,Chang Guo,Yongzhou Li,Huicai Zhong,Jing Huang,Heng Guo,Jianfei Yang,Wenjuan Liao,Jiangang Yang,Liguo Zhou,Mingyue Feng,Likun Qin:
  Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.IEEE Trans. Image Process.29:5737-5752 (2020)
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  Sina Mohseni,Mandar Pitale,Vasu Singh,Zhangyang Wang:
  Practical Solutions for Machine Learning Safety in Autonomous Vehicles.SafeAI@AAAI2020:162-169
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  Sina Mohseni,Mandar Pitale,J. B. S. Yadawa,Zhangyang Wang:
  Self-Supervised Learning for Generalizable Out-of-Distribution Detection.AAAI2020:5216-5223
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  Jianghao Shen,Yue Wang,Pengfei Xu,Yonggan Fu,Zhangyang Wang,Yingyan Lin:
  Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference.AAAI2020:5700-5708
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  Zepeng Huo,Arash Pakbin,Xiaohan Chen,Nathan C. Hurley,Ye Yuan,Xiaoning Qian,Zhangyang Wang,Shuai Huang,Bobak Mortazavi:
  Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery.AISTATS2020:3894-3904
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  Ziyu Jiang,Buyu Liu,Samuel Schulter,Zhangyang Wang,Manmohan Chandraker:
  Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations.CVPR2020:110-118
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  Tianlong Chen,Sijia Liu,Shiyu Chang,Yu Cheng,Lisa Amini,Zhangyang Wang:
  Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning.CVPR2020:696-705
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  Ye Yuan,Wuyang Chen,Yang Yang,Zhangyang Wang:
  In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation.CVPR Workshops2020:1454-1463
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  Yuning You,Tianlong Chen,Zhangyang Wang,Yang Shen:
  L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.CVPR2020:2124-2132
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  Prateek Shroff,Tianlong Chen,Yunchao Wei,Zhangyang Wang:
  Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification.CVPR Workshops2020:3791-3798
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  Haotao Wang,Shupeng Gui,Haichuan Yang,Ji Liu,Zhangyang Wang:
  GAN Slimming: All-in-One GAN Compression by a Unified Optimization Framework.ECCV (4)2020:54-73
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  Jake Lee,Junfeng Yang,Zhangyang Wang:
  What Does CNN Shift Invariance Look Like? A Visualization Study.ECCV Workshops (5)2020:196-210
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  HALO: Hardware-Aware Learning to Optimize.ECCV (9)2020:500-518
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  Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches.ECCV (15)2020:601-617
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  Wuyang Chen,Xinyu Gong,Xianming Liu,Qian Zhang,Yuan Li,Zhangyang Wang:
  FasterSeg: Searching for Faster Real-time Semantic Segmentation.ICLR2020
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  Ting-Kuei Hu,Tianlong Chen,Haotao Wang,Zhangyang Wang:
  Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference.ICLR2020
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  Haotao Wang,Tianlong Chen,Zhangyang Wang,Kede Ma:
  I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively.ICLR2020
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  Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks.ICLR2020
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  NADS: Neural Architecture Distribution Search for Uncertainty Awareness.ICML2020:356-366
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  Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training.ICML2020:1510-1519
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  Automated Synthetic-to-Real Generalization.ICML2020:1746-1756
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  Yonggan Fu,Wuyang Chen,Haotao Wang,Haoran Li,Yingyan Lin,Zhangyang Wang:
  AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks.ICML2020:3292-3303
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  Reza Oftadeh,Jiayi Shen,Zhangyang Wang,Dylan A. Shell:
  Eliminating the Invariance on the Loss Landscape of Linear Autoencoders.ICML2020:7405-7413
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  Yuning You,Tianlong Chen,Zhangyang Wang,Yang Shen:
  When Does Self-Supervision Help Graph Convolutional Networks?ICML2020:10871-10880
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  Ameer Hamza Shakur,Xiaoning Qian,Zhangyang Wang,Bobak Mortazavi,Shuai Huang:
  GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data.ICPR2020:10608-10615
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  Shaojin Ding,Tianlong Chen,Xinyu Gong,Weiwei Zha,Zhangyang Wang:
  AutoSpeech: Neural Architecture Search for Speaker Recognition.INTERSPEECH2020:916-920
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  SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation.ISCA2020:954-967
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  MM-Hand: 3D-Aware Multi-Modal Guided Hand Generation for 3D Hand Pose Synthesis.ACM Multimedia2020:2508-2516
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  Tianlong Chen,Jonathan Frankle,Shiyu Chang,Sijia Liu,Yang Zhang,Zhangyang Wang,Michael Carbin:
  The Lottery Ticket Hypothesis for Pre-trained BERT Networks.NeurIPS2020
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  Xiaohan Chen,Zhangyang Wang,Siyu Tang,Krikamol Muandet:
  MATE: Plugging in Model Awareness to Task Embedding for Meta Learning.NeurIPS2020
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  Training Stronger Baselines for Learning to Optimize.NeurIPS2020
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  FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training.NeurIPS2020
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  Ziyu Jiang,Tianlong Chen,Ting Chen,Zhangyang Wang:
  Robust Pre-Training by Adversarial Contrastive Learning.NeurIPS2020
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  Haotao Wang,Tianlong Chen,Shupeng Gui,Ting-Kuei Hu,Ji Liu,Zhangyang Wang:
  Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free.NeurIPS2020
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  Yuning You,Tianlong Chen,Yongduo Sui,Ting Chen,Zhangyang Wang,Yang Shen:
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  Haoran You,Xiaohan Chen,Yongan Zhang,Chaojian Li,Sicheng Li,Zihao Liu,Zhangyang Wang,Yingyan Lin:
  ShiftAddNet: A Hardware-Inspired Deep Network.NeurIPS2020
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  Ye Yuan,Wuyang Chen,Tianlong Chen,Yang Yang,Zhou Ren,Zhangyang Wang,Gang Hua:
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  Haotao Wang,Tianlong Chen,Zhangyang Wang,Kede Ma:
  I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively.CoRRabs/2002.10648 (2020)
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  Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery.CoRRabs/2003.01753 (2020)
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  Safeguarded Learned Convex Optimization.CoRRabs/2003.01880 (2020)
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  When Does Self-Supervision Help Graph Convolutional Networks?CoRRabs/2006.09136 (2020)
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  Can 3D Adversarial Logos Cloak Humans?CoRRabs/2006.14655 (2020)
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  Automated Synthetic-to-Real Generalization.CoRRabs/2007.06965 (2020)
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  MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis.CoRRabs/2010.01158 (2020)
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  Yuli Zheng,Zhenyu Wu,Ye Yuan,Tianlong Chen,Zhangyang Wang:
  PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning.CoRRabs/2010.02529 (2020)
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  Training Stronger Baselines for Learning to Optimize.CoRRabs/2010.09089 (2020)
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  Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free.CoRRabs/2010.11828 (2020)
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