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• affiliation:University of Science and Technology of China (USTC), Department of Automation, Hefei, China

• Jun Yu —disambiguation page
• Jun Yu0002 —Hangzhou Dianzi University, School of Computer Science, China(and 5 more)
• Jun Yu0003 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
• Jun Yu0004 —Chinese Academy of Sciences, Beijing Institute of Genomics, China(and 1 more)
• Jun Yu0005 — Umeå University, Umeå, Sweden
• Jun Yu0006 — Singapore Management University, Singapore, Singapore
• Jun Yu0007 — Kochi University of Technology, Kami, Japan
• Jun Yu0008 — London School of Economics and Political Science, London, UK
• Jun Yu0009 —Li Ka Shing Institute of Health Sciences, Hong Kong(and 1 more)
• Jun Yu0010 — Fudan University, State Key Lab of ASIC & System, Shanghai, China
• Jun Yu0011 —Zhengzhou University of Light Industry, College of Computer and Communication Engineering, China(and 1 more)
• Jun Yu0012 — Niigata University, Institute of Science and Technology, Niigata-shi, Japan

• Junyu Chen(aka: Jun-Yu Chen) —disambiguation page
• Yujun Liu(aka: YuJun Liu, Yu-Jun Liu) —disambiguation page
• Jun-Yu Ma
• Dongjun Yu(aka: Dong-Jun Yu)
• Ya Jun Yu
• Junsang Yu0001(aka: Jun-Sang Yoo0001) —Samsung Advanced Institute of Technology (SAIT), Computer Vision Laboratory, Suwon, South Korea(and 1 more)
• Jun Yue —disambiguation page
• Jun Yue0002 — Shandong Normal University, Jinan, Shandong, China
• Jun Yue0004 — Central South University, Changsha, China
• Yujun Zheng0001(aka: Yu-Jun Zheng0001) —Zhejiang University of Technology, Hangzhou, China(and 2 more)
• show all similar names

• 2026
• 
  [i59]
  Zhexin Zhang,Yifeng Zhu,Yangyang Xu,Long Chen,Yong Du,Shengfeng He,Jun Yu:
  MotionAdapter: Video Motion Transfer via Content-Aware Attention Customization.CoRRabs/2601.01955 (2026)
• 
  [i58]
  Wangyuan Zhu,Jun Yu:
  Multimodal Sentiment Analysis based on Multi-channel and Symmetric Mutual Promotion Feature Fusion.CoRRabs/2601.02415 (2026)
• 
  [i57]
  Zhongpeng Cai,Jun Yu,Wei Xu,Tianyu Liu,Jianqing Sun,Jiaen Liang:
  Semi-Supervised Facial Expression Recognition based on Dynamic Threshold and Negative Learning.CoRRabs/2601.05556 (2026)
• 2025
• 
  [j57]
  Cong Wang,Yang Luo,Ke Wang,Yanfei Cao,Xiangzhi Tao,Dongjie Geng,Naijie Gu,Jun Yu,Fan Yu,Zhengdong Wang,Shouyang Dong:
  Breaking barriers in 3D point cloud data processing: A unified system for efficient storage and high-throughput loading.Expert Syst. Appl.277:126983 (2025)
• 
  [j56]
  Zhuo Huang,Muyang Li,Li Shen,Jun Yu,Chen Gong,Bo Han,Tongliang Liu:
  Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization.Int. J. Comput. Vis.133(1):456-474 (2025)
• 
  [j55]
  Cong Wang,Yang Luo,Wenzhuo Du,Ke Wang,Naijie Gu,Jun Yu:
  Faster and Stronger: Unleashing Data Processing Potential Through Hardware Heterogeneity.IEEE Internet Things J.12(10):14559-14576 (2025)
• 
  [j54]
  Fang Gao,Wenjie Wu,Yan Jin,Jingfeng Tang,Hanbo Zheng,Shengheng Ma,Jun Yu:
  TVTracker: Target-Adaptive Text-Guided Visual Fusion for Multimodal RGB-T Tracking.IEEE Internet Things J.12(13):24819-24833 (2025)
• 
  [j53]
  Jun Yu,Shuoping Yang,Gongpeng Zhao,Ye Yu,Lei Wang,Wei Xu:
  Joint Optic Disc and Cup Segmentation Via KNN-Based Transformer and Deformable Aggregation Attention.IEEE Internet Things J.12(19):41156-41169 (2025)
• 
  [j52]
  Peng He,Jun Yu,Liuxue Ju,Fang Gao:
  Fine-grained hierarchical dynamics for image harmonization.Neural Networks190:107618 (2025)
• 
  [j51]
  Yexiong Lin,Yu Yao,Zhaoqing Wang,Xu Shen,Jun Yu,Bo Han,Tongliang Liu:
  Improving the Instance-Dependent Transition Matrix Estimation by Exploiting Self-Supervised Learning.IEEE Trans. Pattern Anal. Mach. Intell.47(11):10848-10861 (2025)
• 
  [j50]
  Fang Gao,Lei Shi,Jingfeng Tang,Jiabao Wang,Shaodong Li,Shengheng Ma,Jun Yu:
  Visual and Textual Commonsense-Enhanced Layout Learning for Vision-and-Language Navigation.IEEE Trans Autom. Sci. Eng.22:21311-21324 (2025)
• 
  [j49]
  Jun Yu,Guochen Xie,Quansheng Liu,Zhen Kan,Lei Wang,Tianyu Liu,Qiang Ling,Wei Xu,Fang Gao:
  Contrastive Learning With Multiple Prototypes for Unsupervised Domain Adaptive Semantic Segmentation.IEEE Trans. Multim.27:5267-5282 (2025)
• 
  [j48]
  Peng He,Jun Yu,Chengjie Ge,Ye Yu,Wei Xu,Lei Wang,Tianyu Liu,Zhen Kan:
  Domain-Separated Bottleneck Attention Fusion Framework for Multimodal Emotion Recognition.ACM Trans. Multim. Comput. Commun. Appl.21(4):110:1-110:21 (2025)
• 
  [j47]
  Jiawei Chen,Wen Su,Mengjiao Ge,Ye He,Jun Yu:
  To-Former: semantic segmentation of transparent object with edge-enhanced transformer.Vis. Comput.41(3):1811-1825 (2025)
• 
  [c148]
  Fengzhao Sun,Jun Yu,Jiaming Hou,Yutong Lin,Tianyu Liu:
  A Two-Stage LLM System for Enhanced Regulatory Information Retrieval and Answer Generation.COLING Workshops2025:68-72
• 
  [c147]
  Jun Yu,Yongqi Wang,Lei Wang,Yang Zheng,Shengfan Xu:
  Interactive Multimodal Framework with Temporal Modeling for Emotion Recognition.CVPR Workshops2025:5699-5706
• 
  [c146]
  Jun Yu,Yang Zheng,Lei Wang,Yongqi Wang,Shengfan Xu:
  Cross-Modal Facial Expression Recognition with Global Channel-Spatial Attention: Modal Enhancement and Proportional Criterion Fusion.CVPR Workshops2025:5707-5714
• 
  [c145]
  Jun Yu,Yunxiang Zhang,Fengzhao Sun,Leilei Wang,Renjie Lu,Lingsi Zhu,Xilong Lu,Yang Zheng,Yongqi Wang:
  Towards Robust Multimodal AU Detection: STN-Enhanced Visual Encoding and Audio-Visual Spatial-Temporal Alignment.CVPR Workshops2025:5725-5732
• 
  [c144]
  Jun Yu,Lingsi Zhu,Yanjun Chi,Yunxiang Zhang,Yang Zhen,Yongqi Wang,Xilong Lu:
  Dual-Stage Cross-Modal Network with Dynamic Feature Fusion for Emotional Mimicry Intensity Estimation.CVPR Workshops2025:5733-5740
• 
  [c143]
  Xilong Lu,Jun Yu,Yunxiang Zhang,Lingsi Zhu,Yang Zheng,Yongqi Wang,Qiang Ling:
  Robust Stage-Wise LVLM Adaptation: Multi-Phase Prompt Lora Fine-tuning for Compound Expression Recognition.CVPR Workshops2025:5770-5777
• 
  [c142]
  Xiaohua Qi,Renda Li,Long Peng,Qiang Ling,Jun Yu,Ziyi Chen,Peng Chang,Mei Han,Jing Xiao:
  Data-Free Knowledge Distillation with Diffusion Models.ICME2025:1-6
• 
  [c141]
  Leilei Wang,Renjie Lu,Fengzhao Sun,Yunxiang Zhang,Jun Yu,Qingsong Liu,Jianqing Sun,Jiaen Liang:
  Optimization of Multimodal Inputs Based on Diffusion Models: Zero-Shot Semantic Image Generation.ICME2025:1-6
• 
  [c140]
  Fengzhao Sun,Jun Yu,Yunxiang Zhang,Jiaming Hou,Xilong Lu,Heng Song,Fang Gao:
  Towards Robust Autonomous Driving: Conditional Multimodal Large Language Models for Fine-Grained Perception.ICRA2025:8234-8241
• 
  [c139]
  Haoteng Li,Zhao Yang,Zezhong Qian,Gongpeng Zhao,Yuqi Huang,Jun Yu,Huazheng Zhou,Longjun Liu:
  Dualdiff: Dual-Branch Diffusion Model for Autonomous Driving with Semantic Fusion.ICRA2025:13312-13319
• 
  [c138]
  Bingyuan Zhang,Xulong Zhang,Yong Zhang,Jun Yu,Jianzong Wang:
  Logic Consistency Makes Large Language Models Personalized Reasoning Teachers.IJCNN2025:1-8
• 
  [c137]
  Yangyang Xu,Shengfeng He,Wenqi Shao,Yong Du,Kwan-Yee K. Wong,Yu Qiao,Jun Yu,Ping Luo:
  DiffusionMat: Alpha Matting as Deterministic Sequential Refinement Learning.ACM Multimedia2025:9454-9462
• 
  [c136]
  Jun Yu,Xilong Lu,Cong Wang,Qiang Ling:
  LVLM-MIR: Large Vision-Language Model with Parameter-Efficient Fine-Tuning for Multimodal Interleaved Reasoning.ACM Multimedia2025:13806-13812
• 
  [c135]
  Jun Yu,Xilong Lu,Yunxiang Zhang,Qiang Ling:
  CMA-VC: Large Vision-Language Model for Cross-Modal Alignment in Intention-Oriented Video Captioning.ACM Multimedia2025:13830-13836
• 
  [c134]
  Shuoping Yang,Jun Yu:
  Unified Dual-Strategy Framework for Multi-Task Visual Question Answering.ACM Multimedia2025:13888-13894
• 
  [c133]
  Lingsi Zhu,Yanjun Chi,Jun Yu,Gongpeng Zhao,Yuefeng Zou,Fengzhao Sun,Xilong Lu:
  HierMEQA: A Relationship-Aware Hierarchical Framework for Consistent Micro-Expression Visual Question Answering.ACM Multimedia2025:13957-13963
• 
  [c132]
  Jun Yu,Xilong Lu,Lingsi Zhu,Qiang Ling:
  LVLM-HBA: Large Vision-Language Model with Cross-Modal Alignment for Human Behavior Analysis.ACM Multimedia2025:14156-14162
• 
  [c131]
  Yuefeng Zou,Hui Zhang,Jun Yu,Keda Lu,Linsi Zhu,Fengzhao Sun,Bo Wang,Kun Yao,Jianqing Sun,Jiaen Liang:
  Heterogeneous Encoder Fusion with KAN Decoder for Group Engagement Modeling via 8× Sliding Pipelines.ACM Multimedia2025:14163-14169
• 
  [c130]
  Zhichao Xia,Yichi Zhang,Yanjun Chi,Lingsi Zhu,Mohan Jing,Jun Yu:
  Hierarchical Multi-Feature Extraction and Aggregation for Micro-Action Recognition.ACM Multimedia2025:14236-14243
• 
  [i56]
  Jun Yu,Yongqi Wang,Lei Wang,Yang Zheng,Shengfan Xu:
  Interactive Multimodal Fusion with Temporal Modeling.CoRRabs/2503.10523 (2025)
• 
  [i55]
  Jun Yu,Lingsi Zhu,Yanjun Chi,Yunxiang Zhang,Yang Zheng,Yongqi Wang,Xilong Lu:
  Technical Approach for the EMI Challenge in the 8th Affective Behavior Analysis in-the-Wild Competition.CoRRabs/2503.10603 (2025)
• 
  [i54]
  Jun Yu,Yunxiang Zhang,Xilong Lu,Yang Zheng,Yongqi Wang,Lingsi Zhu:
  Solution for 8th Competition on Affective & Behavior Analysis in-the-wild.CoRRabs/2503.11115 (2025)
• 
  [i53]
  Jun Yu,Xilong Lu:
  Compound Expression Recognition via Large Vision-Language Models.CoRRabs/2503.11241 (2025)
• 
  [i52]
  Jun Yu,Yang Zheng,Lei Wang,Yongqi Wang,Shengfan Xu:
  Design of an Expression Recognition Solution Based on the Global Channel-Spatial Attention Mechanism and Proportional Criterion Fusion.CoRRabs/2503.11935 (2025)
• 
  [i51]
  Xiaohua Qi,Renda Li,Long Peng,Qiang Ling,Jun Yu,Ziyi Chen,Peng Chang,Mei Han,Jing Xiao:
  Data-free Knowledge Distillation with Diffusion Models.CoRRabs/2504.00870 (2025)
• 
  [i50]
  Renda Li,Xiaohua Qi,Qiang Ling,Jun Yu,Ziyi Chen,Peng Chang,Mei HanJing Xiao:
  EasyGenNet: An Efficient Framework for Audio-Driven Gesture Video Generation Based on Diffusion Model.CoRRabs/2504.08344 (2025)
• 
  [i49]
  Haoteng Li,Zhao Yang,Zezhong Qian,Gongpeng Zhao,Yuqi Huang,Jun Yu,Huazheng Zhou,Longjun Liu:
  DualDiff: Dual-branch Diffusion Model for Autonomous Driving with Semantic Fusion.CoRRabs/2505.01857 (2025)
• 
  [i48]
  Haiming Zhu,Yangyang Xu,Chenshu Xu,Tingrui Shen,Wenxi Liu,Yong Du,Jun Yu,Shengfeng He:
  Stable Score Distillation.CoRRabs/2507.09168 (2025)
• 
  [i47]
  Junjie Zhang,Feng Zhao,Hanqiang Liu,Jun Yu:
  Frequency-Aware Vision-Language Multimodality Generalization Network for Remote Sensing Image Classification.CoRRabs/2511.10774 (2025)
• 2024
• 
  [j46]
  Fang Gao,Rongwei Zhang,Jingfeng Tang,Shaomin Liu,Wenbo Li,Jun Yu,Changwen Chen,Hanbo Zheng:
  Pin-CasNet: Detecting pin status in transmission lines based on cascade network.Eng. Appl. Artif. Intell.127(Part B):107244 (2024)
• 
  [j45]
  Junjie Zhang,Feng Zhao,Hanqiang Liu,Jun Yu:
  Data and knowledge-driven deep multiview fusion network based on diffusion model for hyperspectral image classification.Expert Syst. Appl.249:123796 (2024)
• 
  [j44]
  Jialiang Shen,Yu Yao,Shaoli Huang,Zhiyong Wang,Jing Zhang,Ruxing Wang,Jun Yu,Tongliang Liu:
  ProtoSimi: label correction for fine-grained visual categorization.Mach. Learn.113(4):1903-1920 (2024)
• 
  [j43]
  Xiaobo Xia,Pengqian Lu,Chen Gong,Bo Han,Jun Yu,Jun Yu,Tongliang Liu:
  Regularly Truncated M-Estimators for Learning With Noisy Labels.IEEE Trans. Pattern Anal. Mach. Intell.46(5):3522-3536 (2024)
• 
  [j42]
  Songhua Wu,Tianyi Zhou,Yuxuan Du,Jun Yu,Bo Han,Tongliang Liu:
  A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels.IEEE Trans. Pattern Anal. Mach. Intell.46(7):4830-4842 (2024)
• 
  [j41]
  Jingyi Wang,Xiaobo Xia,Long Lan,Xinghao Wu,Jun Yu,Wenjing Yang,Bo Han,Tongliang Liu:
  Tackling Noisy Labels With Network Parameter Additive Decomposition.IEEE Trans. Pattern Anal. Mach. Intell.46(9):6341-6354 (2024)
• 
  [j40]
  Xinzhi Liu,Jun Yu,Toru Kurihara,Congzhong Wu,Haiyan Zhang,Shu Zhan:
  A complex neural network model by Hilbert Transform.Pattern Recognit. Lett.186:113-118 (2024)
• 
  [j39]
  Fang Gao,Jingfeng Tang,Jiabao Wang,Shaodong Li,Jun Yu:
  Enhancing Scene Understanding for Vision-and-Language Navigation by Knowledge Awareness.IEEE Robotics Autom. Lett.9(12):10874-10881 (2024)
• 
  [j38]
  Zhengning Wu,Tianyu He,Xiaobo Xia,Jun Yu,Xu Shen,Tongliang Liu:
  Conditional Consistency Regularization for Semi-Supervised Multi-Label Image Classification.IEEE Trans. Multim.26:4206-4216 (2024)
• 
  [j37]
  Jun Yu,Zhongpeng Cai,Yihao Li,Lei Wang,Fang Gao,Ye Yu:
  Language-Guided Dual-Modal Local Correspondence for Single Object Tracking.IEEE Trans. Multim.26:10637-10650 (2024)
• 
  [j36]
  Xinjian Gao,Ye Pang,Yuyu Liu,Maokun Han,Jun Yu,Wei Wang,Yuanxu Chen:
  Multimodal Visual-Semantic Representations Learning for Scene Text Recognition.ACM Trans. Multim. Comput. Commun. Appl.20(7):193:1-193:18 (2024)
• 
  [c129]
  Haoxiang Shi,Jianzong Wang,Xulong Zhang,Ning Cheng,Jun Yu,Jing Xiao:
  RSET: Remapping-Based Sorting Method for Emotion Transfer Speech Synthesis.APWeb/WAIM (1)2024:90-104
• 
  [c128]
  Jun Yu,Keda Lu,Shenshen Du,Lin Xu,Peng Chang,Houde Liu,Bin Lan,Tianyu Liu:
  MvAV-pix2pixHD: Multi-view Aerial View Image Translation.CVPR Workshops2024:3066-3075
• 
  [c127]
  Jun Yu,Zerui Zhang,Zhihong Wei,Gongpeng Zhao,Zhongpeng Cai,Yongqi Wang,Guochen Xie,Jichao Zhu,Wangyuan Zhu,Qingsong Liu,Jiaen Liang:
  AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts.CVPR Workshops2024:4814-4821
• 
  [c126]
  Jun Yu,Wangyuan Zhu,Jichao Zhu,Zhongpeng Cai,Gongpeng Zhao,Zerui Zhang,Guochen Xie,Zhihong Wei,Qingsong Liu,Jiaen Liang:
  Efficient Feature Extraction and Late Fusion Strategy for Audiovisual Emotional Mimicry Intensity Estimation.CVPR Workshops2024:4866-4872
• 
  [c125]
  Jun Yu,Jichao Zhu,Wangyuan Zhu,Zhongpeng Cai,Gongpeng Zhao,Zhihong Wei,Guochen Xie,Zerui Zhang,Qingsong Liu,Jiaen Liang:
  Multi Model Ensemble for Compound Expression Recognition.CVPR Workshops2024:4873-4879
• 
  [c124]
  Jun Yu,Zhihong Wei,Zhongpeng Cai,Gongpeng Zhao,Zerui Zhang,Yongqi Wang,Guochen Xie,Jichao Zhu,Wangyuan Zhu,Qingsong Liu,Jiaen Liang:
  Exploring Facial Expression Recognition through Semi-Supervised Pre-training and Temporal Modeling.CVPR Workshops2024:4880-4887
• 
  [c123]
  Jun Yu,Gongpeng Zhao,Yongqi Wang,Zhihong Wei,Zerui Zhang,Zhongpeng Cai,Guochen Xie,Jichao Zhu,Wangyuan Zhu,Shuoping Yang,Yang Zheng,Qingsong Liu,Jiaen Liang:
  Improving Valence-Arousal Estimation with Spatiotemporal Relationship Learning and Multimodal Fusion.CVPR Workshops2024:7878-7885
• 
  [c122]
  Ye Yu,Fengxin Chen,Jun Yu,Zhen Kan:
  LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-Light Image Enhancement.ECCV (83)2024:261-279
• 
  [c121]
  Liuxue Ju,Chengdao Pu,Jun Yu,Wen Su:
  Image Harmonization Based on Hierarchical Dynamics.ICASSP2024:3445-3449
• 
  [c120]
  Bingyuan Zhang,Xulong Zhang,Ning Cheng,Jun Yu,Jing Xiao,Jianzong Wang:
  EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model.ICASSP2024:8276-8280
• 
  [c119]
  Haoxiang Shi,Xulong Zhang,Ning Cheng,Yong Zhang,Jun Yu,Jing Xiao,Jianzong Wang:
  Enhancing Emotion Recognition in Conversation Through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning.ICIC (LNAI 3)2024:391-401
• 
  [c118]
  Chengdao Pu,Jun Yu,Wen Su,Tianyu Liu:
  Rotated R-CNN: A Two-Stage Object Detection Method Adapted To Oriented Bounding Boxes.ICIP2024:256-262
• 
  [c117]
  Cong Lei,Yuxuan Du,Peng Mi,Jun Yu,Tongliang Liu:
  Neural Auto-designer for Enhanced Quantum Kernels.ICLR2024
• 
  [c116]
  Muyang Li,Xiaobo Xia,Runze Wu,Fengming Huang,Jun Yu,Bo Han,Tongliang Liu:
  Towards Realistic Model Selection for Semi-supervised Learning.ICML2024:28965-28977
• 
  [c115]
  Yuhao Wu,Jiangchao Yao,Xiaobo Xia,Jun Yu,Ruxin Wang,Bo Han,Tongliang Liu:
  Mitigating Label Noise on Graphs via Topological Sample Selection.ICML2024:53944-53972
• 
  [c114]
  Jun Yu,Keda Lu,Ji Zhao,Zhihong Wei,Iek-Heng Chu,Peng Chang:
  Dialogue Cross-Enhanced Central Engagement Attention Model for Real-Time Engagement Estimation.IJCAI2024:3187-3195
• 
  [c113]
  Haoxiang Shi,Ziqi Liang,Jun Yu:
  Emotional Cues Extraction and Fusion for Multi-modal Emotion Prediction and Recognition in Conversation.INTERSPEECH2024
• 
  [c112]
  Zerui Zhang,Jun Yu,Liangxian Cui,Qiang Ling,Tianyu Liu:
  Part-level Reconstruction for Self-Supervised Category-level 6D Object Pose Estimation with Coarse-to-Fine Correspondence Optimization.ACM Multimedia2024:9980-9988
• 
  [c111]
  Jun Yu,Mohan Jing,Guopeng Zhao,Keda Lu,Yifan Wang,Feng Zhao,Jiaqing Sun,Qingsong Liu,Jiaen Liang:
  End-to-end Spatio-Temporal Information Aggregation For Micro-Action Detection.ACM Multimedia2024:11306-11312
• 
  [c110]
  Yifan Wang,Xuecheng Wu,Jia Zhang,Mohan Jing,Keda Lu,Jun Yu,Wen Su,Fang Gao,Qingsong Liu,Jianqing Sun,Jiaen Liang:
  Building Robust Video-Level Deepfake Detection via Audio-Visual Local-Global Interactions.ACM Multimedia2024:11370-11376
• 
  [c109]
  Jun Yu,Yunxiang Zhang,Zerui Zhang,Zhao Yang,Gongpeng Zhao,Fengzhao Sun,Fanrui Zhang,Qingsong Liu,Jianqing Sun,Jiaen Liang,Yaohui Zhang:
  RAG-Guided Large Language Models for Visual Spatial Description with Adaptive Hallucination Corrector.ACM Multimedia2024:11407-11413
• 
  [c108]
  Jiabao Wang,Fang Gao,Jingfeng Tang,Shaodong Li,Hanbo Zheng,Shengheng Ma,Feng Shuang,Jun Yu:
  A Method for Visual Spatial Description Based on Large Language Model Fine-tuning.ACM Multimedia2024:11414-11419
• 
  [c107]
  Jun Yu,Gongpeng Zhao,Yaohui Zhang,Peng He,Zerui Zhang,Zhao Yang,Qingsong Liu,Jianqing Sun,Jiaen Liang:
  Temporal-Informative Adapters in VideoMAE V2 and Multi-Scale Feature Fusion for Micro-Expression Spotting-then-Recognize.ACM Multimedia2024:11484-11489
• 
  [c106]
  Jun Yu,Yaohui Zhang,Gongpeng Zhao,Peng He,Zerui Zhang,Zhongpeng Cai,Qingsong Liu,Jianqing Sun,Jiaen Liang:
  Micro-Expression Spotting Based on Optical Flow Feature with Boundary Calibration.ACM Multimedia2024:11490-11496
• 
  [i46]
  Bingyuan Zhang,Xulong Zhang,Ning Cheng,Jun Yu,Jing Xiao,Jianzong Wang:
  EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model.CoRRabs/2401.08049 (2024)
• 
  [i45]
  Cong Lei,Yuxuan Du,Peng Mi,Jun Yu,Tongliang Liu:
  Neural auto-designer for enhanced quantum kernels.CoRRabs/2401.11098 (2024)
• 
  [i44]
  Yuhao Wu,Jiangchao Yao,Xiaobo Xia,Jun Yu,Ruxin Wang,Bo Han,Tongliang Liu:
  Mitigating Label Noise on Graph via Topological Sample Selection.CoRRabs/2403.01942 (2024)
• 
  [i43]
  Jun Yu,Wangyuan Zhu,Jichao Zhu:
  Efficient Feature Extraction and Late Fusion Strategy for Audiovisual Emotional Mimicry Intensity Estimation.CoRRabs/2403.11757 (2024)
• 
  [i42]
  Jun Yu,Zhihong Wei,Zhongpeng Cai,Gongpeng Zhao,Zerui Zhang,Yongqi Wang,Guochen Xie,Jichao Zhu,Wangyuan Zhu:
  Exploring Facial Expression Recognition through Semi-Supervised Pretraining and Temporal Modeling.CoRRabs/2403.11942 (2024)
• 
  [i41]
  Jun Yu,Gongpeng Zhao,Yongqi Wang,Zhihong Wei,Yang Zheng,Zerui Zhang,Zhongpeng Cai,Guochen Xie,Jichao Zhu,Wangyuan Zhu:
  Multimodal Fusion Method with Spatiotemporal Sequences and Relationship Learning for Valence-Arousal Estimation.CoRRabs/2403.12425 (2024)
• 
  [i40]
  Jingyi Wang,Xiaobo Xia,Long Lan,Xinghao Wu,Jun Yu,Wenjing Yang,Bo Han,Tongliang Liu:
  Tackling Noisy Labels with Network Parameter Additive Decomposition.CoRRabs/2403.13241 (2024)
• 
  [i39]
  Jun Yu,Zerui Zhang,Zhihong Wei,Gongpeng Zhao,Zhongpeng Cai,Yongqi Wang,Guochen Xie,Jichao Zhu,Wangyuan Zhu:
  AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts.CoRRabs/2403.13678 (2024)
• 
  [i38]
  Haoxiang Shi,Jianzong Wang,Xulong Zhang,Ning Cheng,Jun Yu,Jing Xiao:
  RSET: Remapping-based Sorting Method for Emotion Transfer Speech Synthesis.CoRRabs/2405.17028 (2024)
• 
  [i37]
  Haoxiang Shi,Xulong Zhang,Ning Cheng,Yong Zhang,Jun Yu,Jing Xiao,Jianzong Wang:
  Enhancing Emotion Recognition in Conversation through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning.CoRRabs/2405.17900 (2024)
• 
  [i36]
  Jun Yu,Yunxiang Zhang,Fengzhao Sun,Leilei Wang,Renjie Lu:
  Solution for CVPR 2024 UG2+ Challenge Track on All Weather Semantic Segmentation.CoRRabs/2406.05837 (2024)
• 
  [i35]
  Haoxiang Shi,Ziqi Liang,Jun Yu:
  Emotional Cues Extraction and Fusion for Multi-modal Emotion Prediction and Recognition in Conversation.CoRRabs/2408.04547 (2024)
• 
  [i34]
  Ye Yu,Fengxin Chen,Jun Yu,Zhen Kan:
  LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement.CoRRabs/2408.16235 (2024)
• 
  [i33]
  XueTao Li,Fang Gao,Jun Yu,Shaodong Li,Feng Shuang:
  Learning the Generalizable Manipulation Skills on Soft-body Tasks via Guided Self-attention Behavior Cloning Policy.CoRRabs/2410.05756 (2024)
• 
  [i32]
  Fang Gao,XueTao Li,Jiabao Wang,Shengheng Ma,Jun Yu:
  Guided Self-attention: Find the Generalized Necessarily Distinct Vectors for Grain Size Grading.CoRRabs/2410.05762 (2024)
• 2023
• 
  [j35]
  Fang Gao,Yong Liu,Pengbo Shi,Yan Jin,Jun Yu,Shaodong Li:
  Dual-scale point cloud completion network based on high-frequency feature fusion.Image Vis. Comput.139:104818 (2023)
• 
  [j34]
  Hao Chang,Guochen Xie,Jun Yu,Qiang Ling,Fang Gao,Ye Yu:
  A viable framework for semi-supervised learning on realistic dataset.Mach. Learn.112(6):1847-1869 (2023)
• 
  [j33]
  Yan Jin,Fang Gao,Jun Yu,Jiabao Wang,Feng Shuang:
  Multi-Object Tracking: Decoupling Features to Solve the Contradictory Dilemma of Feature Requirements.IEEE Trans. Circuits Syst. Video Technol.33(9):5117-5132 (2023)
• 
  [c105]
  Shenshen Du,Jun Yu,Guochen Xie,Renjie Lu,Pengwei Li,Zhongpeng Cai,Keda Lu:
  SAR2EO: A High-Resolution Image Translation Framework with Denoising Enhancement.AI (1)2023:91-102
• 
  [c104]
  Jaime Spencer,C. Stella Qian,Michaela Trescakova,Chris Russell,Simon Hadfield,Erich W. Graf,Wendy J. Adams,Andrew J. Schofield,James H. Elder,Richard Bowden,Ali Anwar,Hao Chen,Xiaozhi Chen,Kai Cheng,Yuchao Dai,Huynh Thai Hoa,Sadat Hossain,Jianmian Huang,Mohan Jing,Bo Li,Chao Li,Baojun Li,Zhiwen Liu,Stefano Mattoccia,Siegfried Mercelis,Myungwoo Nam,Matteo Poggi,Xiaohua Qi,Jiahui Ren,Yang Tang,Fabio Tosi,Linh Trinh,S. M. Nadim Uddin,Khan Muhammad Umair,Kaixuan Wang,Yufei Wang,Yixing Wang,Mochu Xiang,Guangkai Xu,Wei Yin,Jun Yu,Qi Zhang,Chaoqiang Zhao:
  The Second Monocular Depth Estimation Challenge.CVPR Workshops2023:3064-3076
• 
  [c103]
  Jun Yu,Renda Li,Zhongpeng Cai,Gongpeng Zhao,Guochen Xie,Jichao Zhu,Wangyuan Zhu,Qiang Ling,Lei Wang,Cong Wang,Luyu Qiu,Wei Zheng:
  Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection.CVPR Workshops2023:5785-5792
• 
  [c102]
  Jun Yu,Zhongpeng Cai,Renda Li,Gongpeng Zhao,Guochen Xie,Jichao Zhu,Wangyuan Zhu,Qiang Ling,Lei Wang,Cong Wang,Luyu Qiu,Wei Zheng:
  Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition.CVPR Workshops2023:5803-5810
• 
  [c101]
  Jun Yu,Jichao Zhu,Wangyuan Zhu,Zhongpeng Cai,Guochen Xie,Renda Li,Gongpeng Zhao,Qiang Ling,Lei Wang,Cong Wang,Luyu Qiu,Wei Zheng:
  A Dual Branch Network for Emotional Reaction Intensity Estimation.CVPR Workshops2023:5811-5818
• 
  [c100]
  Zhuo Huang,Miaoxi Zhu,Xiaobo Xia,Li Shen,Jun Yu,Chen Gong,Bo Han,Bo Du,Tongliang Liu:
  Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization.CVPR2023:16175-16185
• 
  [c99]
  Quansheng Liu,Lei Wang,Jun Yu,Fang Gao:
  Cross-Domain Transformer with Adaptive Thresholding for Domain Adaptive Semantic Segmentation.ICANN (8)2023:147-159
• 
  [c98]
  Xiaobo Xia,Bo Han,Yibing Zhan,Jun Yu,Mingming Gong,Chen Gong,Tongliang Liu:
  Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples.ICCV2023:1833-1843
• 
  [c97]
  Liuxue Ju,Chengdao Pu,Fang Gao,Jun Yu:
  Adaptive Fine-Grained Region Matching for Image Harmonization.ICIG (3)2023:3-15
• 
  [c96]
  Chengdao Pu,Liuxue Ju,Fang Gao,Jun Yu:
  RatiO R-CNN: An Efficient and Accurate Detection Method for Oriented Object Detection.ICIG (3)2023:28-40
• 
  [c95]
  Zhaoqing Wang,Ziyu Chen,Yaqian Li,Yandong Guo,Jun Yu,Mingming Gong,Tongliang Liu:
  Mosaic Representation Learning for Self-supervised Visual Pre-training.ICLR2023
• 
  [c94]
  Xiaobo Xia,Jiale Liu,Jun Yu,Xu Shen,Bo Han,Tongliang Liu:
  Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning.ICLR2023
• 
  [c93]
  Zepeng Liu,Zhicheng Yang,Mingye Zhu,Andy Wong,Yibing Wei,Mei Han,Jun Yu,Jui-Hsin Lai:
  SAGE-NDVI: A Stereotype-Breaking Evaluation Metric for Remote Sensing Image Dehazing Using Satellite-to-Ground NDVI Knowledge.ICME Workshops2023:462-465
• 
  [c92]
  Yu Yao,Mingming Gong,Yuxuan Du,Jun Yu,Bo Han,Kun Zhang,Tongliang Liu:
  Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?ICML2023:39660-39673
• 
  [c91]
  Zeyu Cui,Jun Yu:
  CRNet: Combining CenterNet and R-CNN for Object Detection in Traffic Scenes.ICNC-FSKD2023:1-6
• 
  [c90]
  Quansheng Liu,Chengdao Pu,Fang Gao,Jun Yu:
  Prototypical Contrastive Learning for Domain Adaptive Semantic Segmentation.IJCNN2023:1-9
• 
  [c89]
  Jinsong Li,Shaochen Wang,Ziyang Chen,Zhen Kan,Jun Yu:
  Lightweight Neural Path Planning.IROS2023:6713-6718
• 
  [c88]
  Jun Yu,Shenshen Du,Haoxiang Shi,Yiwei Zhang,Renbin Su,Zhongpeng Cai,Lei Wang:
  Responsive Listening Head Synthesis with 3DMM and Dual-Stream Prediction Network.MCGE@MM2023:137-143
• 
  [c87]
  Jun Yu,Peng He,Ziqi Peng:
  FSR-Net: Deep Fourier Network for Shadow Removal.ACM Multimedia2023:2335-2343
• 
  [c86]
  Jun Yu,Mohan Jing,Weihao Liu,Tongxu Luo,Bingyuan Zhang,Keda Lu,Fangyu Lei,Jianqing Sun,Jiaen Liang:
  Answer-Based Entity Extraction and Alignment for Visual Text Question Answering.ACM Multimedia2023:9487-9491
• 
  [c85]
  Jun Yu,Keda Lu,Mohan Jing,Ziqi Liang,Bingyuan Zhang,Jianqing Sun,Jiaen Liang:
  Sliding Window Seq2seq Modeling for Engagement Estimation.ACM Multimedia2023:9496-9500
• 
  [c84]
  Jun Yu,Zhongpeng Cai,Shenshen Du,Xiaxin Shen,Lei Wang,Fang Gao:
  Efficient Micro-Expression Spotting Based on Main Directional Mean Optical Flow Feature.ACM Multimedia2023:9541-9545
• 
  [c83]
  Jun Yu,Ji Zhao,Guochen Xie,Fengxin Chen,Ye Yu,Liang Peng,Minglei Li,Zonghong Dai:
  Leveraging the Latent Diffusion Models for Offline Facial Multiple Appropriate Reactions Generation.ACM Multimedia2023:9561-9565
• 
  [c82]
  Jun Yu,Shenshen Du,Ruiqiang Yang,Lei Wang,Minchuan Chen,Qingying Zhu,Shaojun Wang,Jing Xiao:
  Image- and Instance-Level Data Augmentation for Occluded Instance Segmentation.MMSports@MM2023:137-142
• 
  [c81]
  Jun Yu,Renda Li,Renjie Lu,Leilei Wang,Shuoping Yang,Lei Wang,Minchuan Chen,Qingying Zhu,Shaojun Wang,Jing Xiao:
  Exploring Loss Function and Rank Fusion for Enhanced Person Re-identification.MMSports@MM2023:143-150
• 
  [c80]
  Jun Yu,Leilei Wang,Renjie Lu,Shuoping Yang,Renda Li,Lei Wang,Minchuan Chen,Qingying Zhu,Shaojun Wang,Jing Xiao:
  Relative Boundary Modeling: A High-Resolution Cricket Bowl Release Detection Framework with I3D Features.MMSports@MM2023:151-159
• 
  [c79]
  Jun Yu,Wangyuan Zhu,Jichao Zhu,Xiaxin Shen,Jianqing Sun,Jiaen Liang:
  MMT-GD: Multi-Modal Transformer with Graph Distillation for Cross-Cultural Humor Detection.MuSe@ACM Multimedia2023:43-49
• 
  [c78]
  Yingbin Bai,Zhongyi Han,Erkun Yang,Jun Yu,Bo Han,Dadong Wang,Tongliang Liu:
  Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping.NeurIPS2023
• 
  [c77]
  Zhuo Huang,Li Shen,Jun Yu,Bo Han,Tongliang Liu:
  FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning.NeurIPS2023
• 
  [c76]
  Muyang Li,Runze Wu,Haoyu Liu,Jun Yu,Xun Yang,Bo Han,Tongliang Liu:
  InstanT: Semi-supervised Learning with Instance-dependent Thresholds.NeurIPS2023
• 
  [i31]
  Jun Yu,Renda Li,Zhongpeng Cai,Gongpeng Zhao,Guochen Xie,Jichao Zhu,Wangyuan Zhu:
  Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection.CoRRabs/2303.08545 (2023)
• 
  [i30]
  Jun Yu,Zhongpeng Cai,Renda Li,Gongpeng Zhao,Guochen Xie,Jichao Zhu,Wangyuan Zhu:
  Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition.CoRRabs/2303.08617 (2023)
• 
  [i29]
  Jun Yu,Jichao Zhu,Wangyuan Zhu,Zhongpeng Cai,Guochen Xie,Renda Li,Gongpeng Zhao:
  A Dual Branch Network for Emotional Reaction Intensity Estimation.CoRRabs/2303.09210 (2023)
• 
  [i28]
  Zhuo Huang,Miaoxi Zhu,Xiaobo Xia,Li Shen,Jun Yu,Chen Gong,Bo Han,Bo Du,Tongliang Liu:
  Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization.CoRRabs/2303.13087 (2023)
• 
  [i27]
  Jun Yu,Shenshen Du,Renjie Lu,Pengwei Li,Guochen Xie,Zhongpeng Cai,Keda Lu,Qing Ling,Cong Wang,Luyu Qiu,Wei Zheng:
  SAR2EO: A High-resolution Image Translation Framework with Denoising Enhancement.CoRRabs/2304.04760 (2023)
• 
  [i26]
  Jaime Spencer,C. Stella Qian,Michaela Trescakova,Chris Russell,Simon Hadfield,Erich W. Graf,Wendy J. Adams,Andrew J. Schofield,James H. Elder,Richard Bowden,Ali Anwar,Hao Chen,Xiaozhi Chen,Kai Cheng,Yuchao Dai,Huynh Thai Hoa,Sadat Hossain,Jianmian Huang,Mohan Jing,Bo Li,Chao Li,Baojun Li,Zhiwen Liu,Stefano Mattoccia,Siegfried Mercelis,Myungwoo Nam,Matteo Poggi,Xiaohua Qi,Jiahui Ren,Yang Tang,Fabio Tosi,Linh Trinh,S. M. Nadim Uddin,Khan Muhammad Umair,Kaixuan Wang,Yufei Wang,Yixing Wang,Mochu Xiang,Guangkai Xu,Wei Yin,Jun Yu,Qi Zhang,Chaoqiang Zhao:
  The Second Monocular Depth Estimation Challenge.CoRRabs/2304.07051 (2023)
• 
  [i25]
  Zepeng Liu,Zhicheng Yang,Mingye Zhu,Andy Wong,Yibing Wei,Mei Han,Jun Yu,Jui-Hsin Lai:
  SAGE-NDVI: A Stereotype-Breaking Evaluation Metric for Remote Sensing Image Dehazing Using Satellite-to-Ground NDVI Knowledge.CoRRabs/2306.06288 (2023)
• 
  [i24]
  Yuhao Wu,Xiaobo Xia,Jun Yu,Bo Han,Gang Niu,Masashi Sugiyama,Tongliang Liu:
  Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision.CoRRabs/2306.07036 (2023)
• 
  [i23]
  Hui Kang,Sheng Liu,Huaxi Huang,Jun Yu,Bo Han,Dadong Wang,Tongliang Liu:
  Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels.CoRRabs/2307.05025 (2023)
• 
  [i22]
  Jinsong Li,Shaochen Wang,Ziyang Chen,Zhen Kan,Jun Yu:
  Lightweight Neural Path Planning.CoRRabs/2307.10555 (2023)
• 
  [i21]
  Fang Gao,XueTao Li,Jun Yu,Shaung Feng:
  A Two-stage Fine-tuning Strategy for Generalizable Manipulation Skill of Embodied AI.CoRRabs/2307.11343 (2023)
• 
  [i20]
  Lingdong Kong,Yaru Niu,Shaoyuan Xie,Hanjiang Hu,Lai Xing Ng,Benoit R. Cottereau,Ding Zhao,Liangjun Zhang,Hesheng Wang,Wei Tsang Ooi,Ruijie Zhu,Ziyang Song,Li Liu,Tianzhu Zhang,Jun Yu,Mohan Jing,Pengwei Li,Xiaohua Qi,Cheng Jin,Yingfeng Chen,Jie Hou,Jie Zhang,Zhen Kan,Qiang Ling,Liang Peng,Minglei Li,Di Xu,Changpeng Yang,Yuanqi Yao,Gang Wu,Jian Kuai,Xianming Liu,Junjun Jiang,Jiamian Huang,Baojun Li,Jiale Chen,Shuang Zhang,Sun Ao,Zhenyu Li,Runze Chen,Haiyong Luo,Fang Zhao,Jingze Yu:
  The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.CoRRabs/2307.15061 (2023)
• 
  [i19]
  Xiaobo Xia,Pengqian Lu,Chen Gong,Bo Han,Jun Yu,Jun Yu,Tongliang Liu:
  Regularly Truncated M-estimators for Learning with Noisy Labels.CoRRabs/2309.00894 (2023)
• 
  [i18]
  Chaojian Yu,Xiaolong Shi,Jun Yu,Bo Han,Tongliang Liu:
  On the Onset of Robust Overfitting in Adversarial Training.CoRRabs/2310.00607 (2023)
• 
  [i17]
  Zhuo Huang,Muyang Li,Li Shen,Jun Yu,Chen Gong,Bo Han,Tongliang Liu:
  Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization.CoRRabs/2310.16391 (2023)
• 
  [i16]
  Zhuo Huang,Li Shen,Jun Yu,Bo Han,Tongliang Liu:
  FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning.CoRRabs/2310.16412 (2023)
• 
  [i15]
  Muyang Li,Runze Wu,Haoyu Liu,Jun Yu,Xun Yang,Bo Han,Tongliang Liu:
  InstanT: Semi-supervised Learning with Instance-dependent Thresholds.CoRRabs/2310.18910 (2023)
• 2022
• 
  [j32]
  Fang Gao,Pengbo Shi,Jiabao Wang,Wenbo Li,Yaoxiong Wang,Jun Yu,Yong Li,Feng Shuang:
  Dual feature fusion network: A dual feature fusion network for point cloud completion.IET Comput. Vis.16(6):541-555 (2022)
• 
  [j31]
  Fang Gao,Qingyi Sun,Shaodong Li,Wenbo Li,Yong Li,Jun Yu,Feng Shuang:
  Efficient 6D object pose estimation based on attentive multi-scale contextual information.IET Comput. Vis.16(7):596-606 (2022)
• 
  [j30]
  Wen Su,Haifeng Zhang,Yuan Su,Jun Yu,Zengfu Wang:
  Monocular depth estimation with spatially coherent sliced network.Image Vis. Comput.124:104487 (2022)
• 
  [j29]
  Songhua Wu,Tongliang Liu,Bo Han,Jun Yu,Gang Niu,Masashi Sugiyama:
  Learning from Noisy Pairwise Similarity and Unlabeled Data.J. Mach. Learn. Res.23:307:1-307:34 (2022)
• 
  [j28]
  Ye Yu,Haitao Liu,Yuanzi Fu,Wei Jia,Jun Yu,Zhisheng Yan:
  Embedding Pose Information for Multiview Vehicle Model Recognition.IEEE Trans. Circuits Syst. Video Technol.32(8):5467-5480 (2022)
• 
  [j27]
  Zhaoyu Zhang,Mengyan Li,Haonian Xie,Jun Yu,Tongliang Liu,Chang Wen Chen:
  TWGAN: Twin Discriminator Generative Adversarial Networks.IEEE Trans. Multim.24:677-688 (2022)
• 
  [j26]
  Zhengning Wu,Xiaobo Xia,Ruxin Wang,Jiatong Li,Jun Yu,Yinian Mao,Tongliang Liu:
  LR-SVM+: Learning Using Privileged Information with Noisy Labels.IEEE Trans. Multim.24:1080-1092 (2022)
• 
  [j25]
  Yongrui Li,Zengfu Wang,Jun Yu:
  Densely Enhanced Semantic Network for Conversation System in Social Media.ACM Trans. Multim. Comput. Commun. Appl.18(4):101:1-101:24 (2022)
• 
  [c75]
  Jun Yu,Hao Chang,Zhongpeng Cai,Guochen Xie,Liwen Zhang,Keda Lu,Shenshen Du,Zhihong Wei,Zepeng Liu,Fang Gao,Feng Shuang:
  Efficient Model Integration for Snake Classification.CLEF (Working Notes)2022:2262-2274
• 
  [c74]
  Jun Yu,Hao Chang,Keda Lu,Guochen Xie,Liwen Zhang,Zhongpeng Cai,Shenshen Du,Zhihong Wei,Zepeng Liu,Fang Gao,Feng Shuang:
  Bag of Tricks and a Strong Baseline for FGVC.CLEF (Working Notes)2022:2275-2290
• 
  [c73]
  Jun Yu,Liwen Zhang,Shenshen Du,Hao Chang,Keda Lu,Zhong Zhang,Ye Yu,Lei Wang,Qiang Ling:
  Pseudo-label Generation and Various Data Augmentation for Semi-Supervised Hyperspectral Object Detection.CVPR Workshops2022:304-311
• 
  [c72]
  Aneesh Rangnekar,Zachary Mulhollan,Anthony Vodacek,Matthew J. Hoffman,Ángel D. Sappa,Erik Blasch,Jun Yu,Liwen Zhang,Shenshen Du,Hao Chang,Keda Lu,Zhong Zhang,Fang Gao,Ye Yu,Feng Shuang,Lei Wang,Qiang Ling,Pranjay Shyam,Kuk-Jin Yoon,Kyung-Soo Kim:
  Semi-Supervised Hyperspectral Object Detection Challenge Results - PBVS 2022.CVPR Workshops2022:389-397
• 
  [c71]
  Yihao Li,Jun Yu,Zhongpeng Cai,Yuwen Pan:
  Cross-modal Target Retrieval for Tracking by Natural Language.CVPR Workshops2022:4927-4936
• 
  [c70]
  Xiaobo Xia,Tongliang Liu,Bo Han,Mingming Gong,Jun Yu,Gang Niu,Masashi Sugiyama:
  Sample Selection with Uncertainty of Losses for Learning with Noisy Labels.ICLR2022
• 
  [c69]
  Xinjian Gao,Ye Pang,Yuyu Liu,Jun Yu,Maokun Han,Kai Hou,Wei Wang:
  DBCAN: Dual-Branch Cross-Attention Network for Scene Text Recognition.ICME2022:1-6
• 
  [c68]
  Chaojian Yu,Bo Han,Li Shen,Jun Yu,Chen Gong,Mingming Gong,Tongliang Liu:
  Understanding Robust Overfitting of Adversarial Training and Beyond.ICML2022:25595-25610
• 
  [c67]
  Jun Yu,Zhongpeng Cai,Zepeng Liu,Guochen Xie,Peng He:
  Facial Expression Spotting Based on Optical Flow Features.ACM Multimedia2022:7205-7209
• 
  [c66]
  Jun Yu,Guochen Xie,Zhongpeng Cai,Peng He,Fang Gao,Qiang Ling:
  Micro Expression Generation with Thin-plate Spline Motion Model and Face Parsing.ACM Multimedia2022:7210-7214
• 
  [i14]
  Yexiong Lin,Yu Yao,Yuxuan Du,Jun Yu,Bo Han,Mingming Gong,Tongliang Liu:
  Do We Need to Penalize Variance of Losses for Learning with Label Noise?CoRRabs/2201.12739 (2022)
• 
  [i13]
  Jun Yu,Zhongpeng Cai,Peng He,Guocheng Xie,Qiang Ling:
  Multi-model Ensemble Learning Method for Human Expression Recognition.CoRRabs/2203.14466 (2022)
• 
  [i12]
  Jun Yu,Hao Chang,Keda Lu,Liwen Zhang,Shenshen Du,Zhong Zhang:
  Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification.CoRRabs/2205.01920 (2022)
• 
  [i11]
  Chaojian Yu,Bo Han,Li Shen,Jun Yu,Chen Gong,Mingming Gong,Tongliang Liu:
  Understanding Robust Overfitting of Adversarial Training and Beyond.CoRRabs/2206.08675 (2022)
• 
  [i10]
  Chaojian Yu,Dawei Zhou,Li Shen,Jun Yu,Bo Han,Mingming Gong,Nannan Wang,Tongliang Liu:
  Strength-Adaptive Adversarial Training.CoRRabs/2210.01288 (2022)
• 2021
• 
  [j24]
  Linfei Yin,Chenwei Zhang,Yaoxiong Wang,Fang Gao,Jun Yu,Lefeng Cheng:
  Emotional Deep Learning Programming Controller for Automatic Voltage Control of Power Systems.IEEE Access9:31880-31891 (2021)
• 
  [j23]
  Wen Su,Haifeng Zhang,Yuan Su,Jun Yu:
  Facial Expression Recognition With Confidence Guided Refined Horizontal Pyramid Network.IEEE Access9:50321-50331 (2021)
• 
  [j22]
  Haifeng Zhang,Wen Su,Jun Yu,Zengfu Wang:
  Identity-Expression Dual Branch Network for Facial Expression Recognition.IEEE Trans. Cogn. Dev. Syst.13(4):898-911 (2021)
• 
  [j21]
  Lingyun Yu,Jun Yu,Mengyan Li,Qiang Ling:
  Multimodal Inputs Driven Talking Face Generation With Spatial-Temporal Dependency.IEEE Trans. Circuits Syst. Video Technol.31(1):203-216 (2021)
• 
  [j20]
  Ye Yu,Hua Li,Jun Wang,Hai Min,Wei Jia,Jun Yu,Changwen Chen:
  A Multilayer Pyramid Network Based on Learning for Vehicle Logo Recognition.IEEE Trans. Intell. Transp. Syst.22(5):3123-3134 (2021)
• 
  [j19]
  Mengyan Li,Zhaoyu Zhang,Jun Yu,Chang Wen Chen:
  Learning Face Image Super-Resolution Through Facial Semantic Attribute Transformation and Self-Attentive Structure Enhancement.IEEE Trans. Multim.23:468-483 (2021)
• 
  [c65]
  Jun Yu,Guochen Xie,Xinlong Hao,Zeyu Cui,Liwen Zhang,Zhongpeng Cai:
  Deep Kinship Verification and Retrieval Based on Fusion Siamese Neural Network.FG2021:1-8
• 
  [c64]
  Dawei Zhou,Nannan Wang,Chunlei Peng,Xinbo Gao,Xiaoyu Wang,Jun Yu,Tongliang Liu:
  Removing Adversarial Noise in Class Activation Feature Space.ICCV2021:7858-7867
• 
  [c63]
  Jun Yu,Xinlong Hao,Zeyu Cui,Peng He,Tongliang Liu:
  Boosting Fairness for Masked Face Recognition.ICCVW2021:1531-1540
• 
  [c62]
  Jun Yu,Xinlong Hao,Peng He:
  Single-stage Face Detection under Extremely Low-light Conditions.ICCVW2021:3516-3525
• 
  [c61]
  Jun Yu,Xinlong Hao,Xinjian Gao,Qiang Sun,Yuyu Liu,Peng Chang,Zhong Zhang,Fang Gao,Feng Shuang:
  Radar Object Detection Using Data Merging, Enhancement and Fusion.ICMR2021:566-572
• 
  [c60]
  Yongrui Li,Shilian Wu,Jun Yu,Zengfu Wang:
  Fine-Grained Language Identification in Scene Text Images.ACM Multimedia2021:4573-4581
• 
  [i9]
  Dawei Zhou,Nannan Wang,Chunlei Peng,Xinbo Gao,Xiaoyu Wang,Jun Yu,Tongliang Liu:
  Removing Adversarial Noise in Class Activation Feature Space.CoRRabs/2104.09197 (2021)
• 
  [i8]
  Xiaobo Xia,Tongliang Liu,Bo Han,Mingming Gong,Jun Yu,Gang Niu,Masashi Sugiyama:
  Sample Selection with Uncertainty of Losses for Learning with Noisy Labels.CoRRabs/2106.00445 (2021)
• 
  [i7]
  Xiaobo Xia,Tongliang Liu,Bo Han,Mingming Gong,Jun Yu,Gang Niu,Masashi Sugiyama:
  Instance Correction for Learning with Open-set Noisy Labels.CoRRabs/2106.00455 (2021)
• 
  [i6]
  Dawei Zhou,Nannan Wang,Xinbo Gao,Bo Han,Jun Yu,Xiaoyu Wang,Tongliang Liu:
  Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training.CoRRabs/2106.05453 (2021)
• 
  [i5]
  Fang Gao,Jiabao Wang,Jun Yu,Yaoxiong Wang,Feng Shuang:
  A Weakly-Supervised Depth Estimation Network Using Attention Mechanism.CoRRabs/2107.04819 (2021)
• 
  [i4]
  Hao Chang,Guochen Xie,Jun Yu,Qiang Ling:
  BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition.CoRRabs/2107.06768 (2021)
• 2020
• 
  [j18]
  Linfei Yin,Shikui Luo,Yaoxiong Wang,Fang Gao,Jun Yu:
  Coordinated Complex-Valued Encoding Dragonfly Algorithm and Artificial Emotional Reinforcement Learning for Coordinated Secondary Voltage Control and Automatic Voltage Regulation in Multi-Generator Power Systems.IEEE Access8:180520-180533 (2020)
• 
  [j17]
  Qiuyu Li,Jun Yu,Toru Kurihara,Haiyan Zhang,Shu Zhan:
  Deep Convolutional Neural Network with Optical Flow for Facial Micro-Expression Recognition.J. Circuits Syst. Comput.29(1):2050006:1-2050006:18 (2020)
• 
  [j16]
  Mengyan Li,Zhaoyu Zhang,Guochen Xie,Jun Yu:
  A Deep Learning Approach for Face Hallucination Guided by Facial Boundary Responses.ACM Trans. Multim. Comput. Commun. Appl.16(1):17:1-17:23 (2020)
• 
  [c59]
  Jun Yu,Xinlong Hao,Haonian Xie,Ye Yu:
  Fair Face Recognition Using Data Balancing, Enhancement and Fusion.ECCV Workshops (6)2020:492-505
• 
  [c58]
  Jun Yu,Guochen Xie,Mengyan Li,Xinlong Hao:
  Retrieval of Family Members Using Siamese Neural Network.FG2020:882-886
• 
  [c57]
  Jun Yu,Mengyan Li,Xinlong Hao,Guochen Xie:
  Deep Fusion Siamese Network for Automatic Kinship Verification.FG2020:892-899
• 
  [c56]
  Jun Yu,Haonian Xie,Mengyan Li,Guochen Xie,Ye Yu,Chang Wen Chen:
  Mobile Centernet for Embedded Deep Learning Object Detection.ICME Workshops2020:1-6
• 
  [c55]
  Haifeng Zhang,Wen Su,Jun Yu,Zengfu Wang:
  Weakly Supervised Local-Global Relation Network for Facial Expression Recognition.IJCAI2020:1040-1046
• 
  [c54]
  Jun Yu,Guochen Xie,Mengyan Li,Haonian Xie,Xinlong Hao,Fang Gao,Feng Shuang:
  Attention Based Beauty Product Retrieval Using Global and Local Descriptors.ACM Multimedia2020:4708-4712
• 
  [i3]
  Jun Yu,Mengyan Li,Xinlong Hao,Guochen Xie:
  Deep Fusion Siamese Network for Automatic Kinship Verification.CoRRabs/2006.00143 (2020)
• 
  [i2]
  Jun Yu,Guochen Xie,Mengyan Li,Xinlong Hao:
  Retrieval of Family Members Using Siamese Neural Network.CoRRabs/2006.00174 (2020)

• 2019
• 
  [j15]
  Jun Yu,Qiang Ling,Changwei Luo,Chang Wen Chen:
  Synthesizing 3D Trump: Predicting and Visualizing the Relationship Between Text, Speech, and Articulatory Movements.IEEE ACM Trans. Audio Speech Lang. Process.27(12):2223-2233 (2019)
• 
  [j14]
  Lingyun Yu,Jun Yu,Qiang Ling:
  BLTRCNN-Based 3-D Articulatory Movement Prediction: Learning Articulatory Synchronicity From Both Text and Audio Inputs.IEEE Trans. Multim.21(7):1621-1632 (2019)
• 
  [j13]
  Changwei Luo,Juyong Zhang,Jun Yu,Chang Wen Chen,Shengjin Wang:
  Real-Time Head Pose Estimation and Face Modeling From a Depth Image.IEEE Trans. Multim.21(10):2473-2481 (2019)
• 
  [c53]
  Zhaoyu Zhang,Changwei Luo,Jun Yu:
  Towards the Gradient Vanishing, Divergence Mismatching and Mode Collapse of Generative Adversarial Nets.CIKM2019:2377-2380
• 
  [c52]
  Jianrui Cai,Shuhang Gu,Radu Timofte,Lei Zhang,Xiao Liu,Yukang Ding,Dongliang He,Chao Li,Yi Fu,Shilei Wen,Ruicheng Feng,Jinjin Gu,Yu Qiao,Chao Dong,Dongwon Park,Se Young Chun,Sanghoon Yoon,Junhyung Kwak,Donghee Son,Syed Waqas Zamir,Aditya Arora,Salman H. Khan,Fahad Shahbaz Khan,Ling Shao,Zhengping Wei,Lei Liu,Hong Cai,Darui Li,Fujie Gao,Zheng Hui,Xiumei Wang,Xinbo Gao,Guoan Cheng,Ai Matsune,Qiuyu Li,Leilei Zhu,Huaijuan Zang,Shu Zhan,Yajun Qiu,Ruxin Wang,Jiawei Li,Yongcheng Jing,Mingli Song,Pengju Liu,Kai Zhang,Jingdong Liu,Jiye Liu,Hongzhi Zhang,Wangmeng Zuo,Wenyi Tang,Jing Liu,Youngjung Kim,Changyeop Shin,Minbeom Kim,Sungho Kim,Pablo Navarrete Michelini,Hanwen Liu,Dan Zhu,Xuan Xu,Xin Li,Furui Bai,Xiaopeng Sun,Lin Zha,Yuanfei Huang,Wen Lu,Yanpeng Cao,Du Chen,Zewei He,Anshun Sun,Siliang Tang,Hongfei Fan,Xiang Li,Guo Li,Wenjie Zhang,Yumei Zhang,Qingwen He,Jinghui Qin,Lishan Huang,Yukai Shi,Pengxu Wei,Wushao Wen,Liang Lin,Jun Yu,Guochen Xie,Mengyan Li,Rong Chen,Xiaotong Luo,Chen Hong,Yanyun Qu,Cuihua Li,Zhi-Song Liu,Li-Wen Wang,Chu-Tak Li,Can Zhao,Bowen Li,Chung-Chi Tsai,Shang-Chih Chuang,Joonhee Choi,Joonsoo Kim,Xiaoyun Jiang,Ze Pan,Qunbo Lv,Zheng Tan,Peidong He:
  NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results.CVPR Workshops2019:2211-2223
• 
  [c51]
  Zhaoyu Zhang,Mengyan Li,Jun Yu:
  D2PGGAN: Two Discriminators Used in Progressive Growing of GANS.ICASSP2019:3177-3181
• 
  [c50]
  Lingyun Yu,Jun Yu,Qiang Ling:
  Mining Audio, Text and Visual Information for Talking Face Generation.ICDM2019:787-795
• 
  [c49]
  Yongrui Li,Jun Yu,Zengfu Wang:
  Dense Semantic Matching Network for Multi-turn Conversation.ICDM2019:1186-1191
• 
  [c48]
  Mengyan Li,Yuechuan Sun,Zhaoyu Zhang,Haonian Xie,Jun Yu:
  Deep Learning Face Hallucination via Attributes Transfer and Enhancement.ICME2019:604-609
• 
  [c47]
  Yinglu Liu,Hao Shen,Yue Si,Xiaobo Wang,Xiangyu Zhu,Hailin Shi,Zhibin Hong,Hanqi Guo,Ziyuan Guo,Yanqin Chen,Bi Li,Teng Xi,Jun Yu,Haonian Xie,Guochen Xie,Mengyan Li,Qing Lu,Zengfu Wang,Shenqi Lai,Zhenhua Chai,Xiaoming Wei:
  Grand Challenge of 106-Point Facial Landmark Localization.ICME Workshops2019:613-616
• 
  [c46]
  Jun Yu,Haonian Xie,Guochen Xie,Mengyan Li,Zengfu Wang:
  Multi-scale Densely U-Nets Refine Network for Face Alignment.ICME Workshops2019:691-694
• 
  [c45]
  Zhaoyu Zhang,Jun Yu:
  STDGAN: ResBlock Based Generative Adversarial Nets Using Spectral Normalization and Two Different Discriminators.ACM Multimedia2019:674-682
• 
  [c44]
  Jun Yu,Chang Wen Chen,Zengfu Wang:
  3D Singing Head for Music VR: Learning External and Internal Articulatory Synchronicity from Lyric, Audio and Notes.ACM Multimedia2019:945-952
• 
  [c43]
  Jun Yu,Guochen Xie,Mengyan Li,Haonian Xie,Lingyun Yu:
  Beauty Product Retrieval Based on Regional Maximum Activation of Convolutions with Generalized Attention.ACM Multimedia2019:2553-2557
• 
  [c42]
  Lingyun Yu,Jun Yu,Qiang Ling:
  Deep Neural Network Based 3D Articulatory Movement Prediction Using Both Text and Audio Inputs.MMM (1)2019:68-79
• 
  [i1]
  Yinglu Liu,Hao Shen,Yue Si,Xiaobo Wang,Xiangyu Zhu,Hailin Shi,Zhibin Hong,Hanqi Guo,Ziyuan Guo,Yanqin Chen,Bi Li,Teng Xi,Jun Yu,Haonian Xie,Guochen Xie,Mengyan Li,Qing Lu,Zengfu Wang,Shenqi Lai,Zhenhua Chai,Xiaoming Wei:
  Grand Challenge of 106-Point Facial Landmark Localization.CoRRabs/1905.03469 (2019)
• 2018
• 
  [j12]
  Yuechuan Sun,Jun Yu:
  General-to-specific learning for facial attribute classification in the wild.J. Vis. Commun. Image Represent.56:83-91 (2018)
• 
  [j11]
  Hai-Tao Zhang,Jun Yu,Zengfu Wang:
  Probability contour guided depth map inpainting and superresolution using non-local total generalized variation.Multim. Tools Appl.77(7):9003-9020 (2018)
• 
  [j10]
  Jun Yu,Chen Jiang,Rui Li,Changwei Luo,Zengfu Wang:
  Real-Time 3-D Facial Animation: From Appearance to Internal Articulators.IEEE Trans. Circuits Syst. Video Technol.28(4):920-932 (2018)
• 
  [c41]
  Yuechuan Sun,Jun Yu:
  Deep Facial Attribute Detection in the Wild: From General to Specific.BMVC2018:283
• 
  [c40]
  Mengyan Li,Yuechuan Sun,Zhaoyu Zhang,Jun Yu:
  A Coarse-to-Fine Face Hallucination Method by Exploiting Facial Prior Knowledge.ICIP2018:61-65
• 
  [c39]
  Jun Yu,Lingyun Yu:
  Synthesizing Photo-Realistic 3D Talking Head: Learning Lip Synchronicity and Emotion from Audio and Video.ICIP2018:1448-1452
• 
  [c38]
  Jun Yu,Yuechuan Sun:
  Simultaneous Facial Landmark and 3D Action Estimation Based on Probabilistic Random Forest.ICIP2018:3643-3647
• 
  [c37]
  Zhaoyu Zhang,Yuechuan Sun,Jun Yu:
  A Cross-Layer Based Network for Faster Image Generation.ICIP2018:3903-3907
• 
  [c36]
  Zhaoyu Zhang,Mengyan Li,Jun Yu:
  On the convergence and mode collapse of GAN.SIGGRAPH Asia Technical Briefs2018:21:1-21:4
• 
  [c35]
  Lingyun Yu,Jun Yu,Qiang Ling:
  Synthesizing 3D Acoustic-Articulatory Mapping Trajectories: Predicting Articulatory Movements by Long-Term Recurrent Convolutional Neural Network.VCIP2018:1-4
• 2017
• 
  [j9]
  Yu Liu,Baocai Yin,Jun Yu,Zengfu Wang:
  Image classification based on convolutional neural networks with cross-level strategy.Multim. Tools Appl.76(8):11065-11079 (2017)
• 
  [j8]
  Jun Yu,Zengfu Wang:
  A Video-Based Facial Motion Tracking and Expression Recognition System.Multim. Tools Appl.76(13):14653-14672 (2017)
• 
  [j7]
  Jun Yu,Chen Jiang,Zengfu Wang:
  Creating and simulating a realistic physiological tongue model for speech production.Multim. Tools Appl.76(13):14673-14689 (2017)
• 
  [j6]
  Jun Yu,Lingyan Li,Jie Zou:
  Realistic emotion visualization by combining facial animation and hairstyle synthesis.Multim. Tools Appl.76(13):14905-14919 (2017)
• 
  [j5]
  Lingyun Yu,Jun Yu,Zengfu Wang:
  A realistic 3D articulatory animation system for emotional visual pronunciation.Multim. Tools Appl.76(18):19241-19262 (2017)
• 
  [c34]
  Rui Li,Jun Yu:
  An audio-visual 3D virtual articulation system for visual speech synthesis.HAVE2017:1-6
• 
  [c33]
  Jun Yu,Zengfu Wang:
  A real-time 3D head mesh modeling and expressive articulatory animation system.ICASSP2017:2946-2950
• 
  [c32]
  Hai-Tao Zhang,Jun Yu,Zengfu Wang:
  Depth map super-resolution using non-local higher-order regularization with classified weights.ICIP2017:4043-4047
• 
  [c31]
  Changwei Luo,Jun Yu,Xian Li,Leilei Zhang:
  HMM based speech-driven 3D tongue animation.ICIP2017:4377-4381
• 
  [c30]
  Jun Yu,Chang Wen Chen:
  From talking head to singing head: A significant enhancement for more natural human computer interaction.ICME2017:511-516
• 
  [c29]
  Yuechuan Sun,Jun Yu:
  Adaptively Weighted Facial Expression Recognition by Feature Fusion Under Intense Illumination Condition.ICONIP (6)2017:612-621
• 
  [c28]
  Jun Yu:
  A Unified Framework for Monocular Video-Based Facial Motion Tracking and Expression Recognition.MMM (2)2017:50-62
• 
  [c27]
  Jun Yu:
  A Real-Time 3D Visual Singing Synthesis: From Appearance to Internal Articulators.MMM (1)2017:53-64
• 
  [c26]
  Yuechuan Sun,Jun Yu:
  Facial Expression Recognition by Fusing Gabor and Local Binary Pattern Features.MMM (2)2017:209-220
• 
  [c25]
  Jun Yu:
  Speech Synchronized Tongue Animation by Combining Physiology Modeling and X-ray Image Fitting.MMM (1)2017:726-737
• 
  [c24]
  Qing Lu,Jun Yu,Zengfu Wang:
  Face Alignment Using Local Probabilistic Features.PCM (1)2017:184-193
• 
  [c23]
  Rui Li,Jun Yu:
  Multimodal 3D visible articulation system for syllable based Mandarin Chinese training.VCIP2017:1-4
• 
  [c22]
  Jun Yu,Chang Wen Chen:
  Joint facial landmark detection and action estimation based on deep probabilistic random forest.VCIP2017:1-4
• 2016
• 
  [j4]
  Jun Yu,Changwei Luo,Lingyun Yu,Ling-yan Li,Zengfu Wang:
  Facial video coding/decoding at ultra-low bit-rate: a 2D/3D model-based approach.Multim. Tools Appl.75(19):12021-12041 (2016)
• 
  [c21]
  Jun Yu,Zengfu Wang:
  A realistic and reliable 3D pronunciation visualization instruction system for computer-assisted language learning.BIBM2016:786-789
• 
  [c20]
  Jun Yu,Chen Jiang,Zengfu Wang:
  A fast and precise speech-triggered tongue animation system by combining parameterized model and anatomical model.BIBM2016:1624-1627
• 
  [c19]
  Lingyun Yu,Changwei Luo,Jun Yu:
  An Emotional Text-Driven 3D Visual Pronunciation System for Mandarin Chinese.CCPR (1)2016:93-104
• 
  [c18]
  Qing Lu,Jun Yu,Zengfu Wang:
  A Color Model Based Fire Flame Detection System.CCPR (1)2016:474-485
• 
  [c17]
  Jun Yu,Zengfu Wang:
  A fast, accurate and complete 3D head mesh modeling system.DSP2016:507-510
• 
  [c16]
  Jun Yu,Zengfu Wang:
  A monocular video-based facial expression recognition system by combining static and dynamic knowledge.UCC2016:353-357
• 2015
• 
  [j3]
  Changwei Luo,Zengfu Wang,Shaobiao Wang,Juyong Zhang,Jun Yu:
  Locating Facial Landmarks Using Probabilistic Random Forest.IEEE Signal Process. Lett.22(12):2324-2328 (2015)
• 
  [j2]
  Jun Yu,Zengfu Wang:
  A Video, Text, and Speech-Driven Realistic 3-D Virtual Head for Human-Machine Interface.IEEE Trans. Cybern.45(5):977-988 (2015)
• 
  [c15]
  Jun Yu,Changwei Luo,Chen Jiang,Rui Li,Ling-yan Li,Zengfu Wang:
  A Digital Video Stabilization System Based on Reliable SIFT Feature Matching and Adaptive Low-Pass Filtering.CCCV (2)2015:180-189
• 
  [c14]
  Yu Liu,Baocai Yin,Jun Yu,Zengfu Wang:
  Cross-Level: A Practical Strategy for Convolutional Neural Networks Based Image Classification.CCCV (1)2015:398-406
• 
  [c13]
  Jun Yu,Chen Jiang,Changwei Luo,Rui Li,Ling-yan Li,Zengfu Wang:
  Electro-Magnetic Articulography data stabilization for speech synchronized articulatory animation.FSKD2015:1924-1928
• 
  [c12]
  Jun Yu,Chen Jiang,Changwei Luo,Rui Li,Zengfu Wang:
  A real-time 3D hair animation system for human-computer interaction.FSKD2015:2303-2307
• 
  [c11]
  Jun Yu,Changwei Luo,Chen Jiang,Rui Li,Ling-yan Li,Zengfu Wang:
  Real-Time Robust Video Stabilization Based on Empirical Mode Decomposition and Multiple Evaluation Criteria.ICIG (3)2015:125-136
• 
  [c10]
  Changwei Luo,Jun Yu,Zhigang Zheng,Bin Cai,Lingyun Yu,Zengfu Wang:
  Video Based Face Tracking and Animation.ICIG (3)2015:522-533
• 2014
• 
  [j1]
  Jun Yu,Zengfu Wang:
  3D facial motion tracking by combining online appearance model and cylinder head model in particle filtering.Sci. China Inf. Sci.57(2):1-7 (2014)
• 
  [c9]
  Shuping Liu,Yu Liu,Jun Yu,Zengfu Wang:
  A Static Hand Gesture Recognition Algorithm Based on Krawtchouk Moments.CCPR (2)2014:321-330
• 
  [c8]
  Changwei Luo,Jun Yu,Zengfu Wang:
  Synthesizing real-time speech-driven facial animation.ICASSP2014:4568-4572
• 
  [c7]
  Changwei Luo,Chen Jiang,Jun Yu,Zengfu Wang:
  Expressive facial animation from videos.ICIP2014:4617-4621
• 
  [c6]
  Chen Jiang,Changwei Luo,Jun Yu,Rui Li,Zengfu Wang:
  Modeling a realistic 3D physiological tongue for visual speech synthesis.ICME Workshops2014:1-6
• 
  [c5]
  Changwei Luo,Jun Yu,Chen Jiang,Rui Li,Zengfu Wang:
  Real-time control of 3D facial animation.ICME2014:1-6
• 
  [c4]
  Changwei Luo,Jun Yu,Xian Li,Zengfu Wang:
  Realtime speech-driven facial animation using Gaussian Mixture Models.ICME Workshops2014:1-6
• 
  [c3]
  Rui Li,Jun Yu,Chen Jiang,Changwei Luo,Zengfu Wang:
  A mass-spring tongue model with efficient collision detection and response during speech.ISCSLP2014:354-358
• 
  [e1]
  Hanzi Wang,Larry Davis,Wenwu Zhu,Stephan Kopf,Yanyun Qu,Jun Yu,Jitao Sang,Tao Mei:
  International Conference on Internet Multimedia Computing and Service, ICIMCS '14, Xiamen, China, July 10-12, 2014.ACM2014, ISBN978-1-4503-2810-4[contents]
• 2013
• 
  [c2]
  Jun Yu,Zengfu Wang,Yang Cao:
  2D/3D Model-Based Facial Video Coding/Decoding at Ultra-Low Bit-Rate.MMM (2)2013:12-23
• 
  [c1]
  Jun Yu,Aljun Li,Fang Hu,Qiang Fang,Chen Jiang,Xian Li,Jing Yang,Zengfu Wang:
  Data-driven 3D visual pronunciation of Chinese IPA for language learning.O-COCOSDA/CASLRE2013:1-6