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• affiliation:Ant Financial Services Group, AI Department (Beijing), China

• Jun Zhou —disambiguation page
• Jun Zhou0001 —Griffith University, School of Information and Communication Technology, Nathan, QLD, Australia(and 1 more)
• Jun Zhou0002 —Broadcom Limited, Irvine, CA, USA(and 1 more)
• Jun Zhou0003 —Donghua University, College of Information Sciences and Technology, Shanghai, China(and 1 more)
• Jun Zhou0004 — Southwest University, School of Mathematics and Statistics, Chongqing, China
• Jun Zhou0005 — Yangtze Normal University, School of Mathematics and Computer Science, Chongqing, China
• Jun Zhou0006 —Chang'an University, School of Earth Sciences and Resources, Xi'an, China(and 1 more)
• Jun Zhou0007 — Shanghai Jiao Tong University, Institute of Image Communication and Information Processing, China
• Jun Zhou0008 — University of California, San Diego, USA
• Jun Zhou0009 — University of Stuttgart, Germany

• Jun Zhou0010 —Hohai University, College of Energy and Electrical Engineering, Nanjing, China(and 1 more)
• Jun Zhou0012 — Zhongyuan Institute of Technology, College of Electronic Information, Zhengzhou, China
• Jun Zhou0013 —University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, USA(and 1 more)
• Jun Zhou0014 — National University of Singapore, School of Computing, Singapore
• Jun Zhou0015 — Nanjing Agricultural University, College of Engineering, China
• Jun Zhou0016 — Anhui University, School of Computer Science and Technology, Anhui Engineering Laboratory of IoT Security Technologies, Hefei, China
• Jun Zhou0017 —University of Electronic Science and Technology of China, Smart ICs and Systems Research Group, Chengdu, China(and 2 more)
• Jun Zhou0018 —East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China(and 1 more)
• Jun Zhou0019 —Hunan Normal University, College of Mathematics and Statistics, Changsha, China(and 1 more)
• Jun Zhou0020 — Northwestern Polytechnical University, Institute of Precision Guidance and Control / School of Astronautics, Xi'an, China
• Jun Zhou0021 — Dalian University of Technology, School of Control Science and Engineering, China
• Jun Zhou0022 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China
• Jun Zhou0023 —Dalian Maritime University, Information Science and Technology College, China(and 1 more)
• Jun Zhou0024 — Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Beijing, China

• Zhou Jun
• Zhoujun Li(aka: Zhou-Jun Li) —disambiguation page
• Zhou Jun Xiong
• Hai-Jun Zhou
• Hong-jun Zhou
• Hong Jun Zhou
• Junhong Zhou(aka: Jun-Hong Zhou)
• Junjie Zhou(aka: Jun-Jie Zhou) —disambiguation page
• Ming Jun Zhou
• Xiao-jun Zhou
• show all similar names

• 2025
• 
  [c214]
  Binbin Hu,Zhicheng An,Zhengwei Wu,Ke Tu,Ziqi Liu,Zhiqiang Zhang,Jun Zhou,Yufei Feng,Jiawei Chen:
  Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data.WSDM2025:1-9
• 
  [i130]
  Jinluan Yang,Dingnan Jin,Anke Tang,Li Shen,Didi Zhu,Zhengyu Chen,Daixin Wang,Qing Cui,Zhiqiang Zhang,Jun Zhou,Fei Wu,Kun Kuang:
  Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging.CoRRabs/2502.06876 (2025)
• 
  [i129]
  Shen Nie,Fengqi Zhu,Zebin You,Xiaolu Zhang,Jingyang Ou,Jun Hu,Jun Zhou,Yankai Lin,Ji-Rong Wen,Chongxuan Li:
  Large Language Diffusion Models.CoRRabs/2502.09992 (2025)
• 
  [i128]
  Gangwei Jiang,Caigao Jiang,Zhaoyi Li,Siqiao Xue,Jun Zhou,Linqi Song,Defu Lian,Ying Wei:
  Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning.CoRRabs/2502.11019 (2025)
• 
  [i127]
  Guanghao Zhou,Panjia Qiu,Mingyuan Fan,Cen Chen,Mingyuan Chu,Xin Zhang,Jun Zhou:
  CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models.CoRRabs/2502.11379 (2025)
• 
  [i126]
  Liyang He,Chenglong Liu,Rui Li,Zhenya Huang,Shulan Ruan,Jun Zhou,Enhong Chen:
  Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models.CoRRabs/2502.13656 (2025)
• 
  [i125]
  M.-A-P. Team,Xinrun Du,Yifan Yao,Kaijing Ma,Bingli Wang,Tianyu Zheng,Kang Zhu,Minghao Liu,Yiming Liang,Xiaolong Jin,Zhenlin Wei,Chujie Zheng,Kaixin Deng,Shian Jia,Sichao Jiang,Yiyan Liao,Rui Li,Qinrui Li,Sirun Li,Yizhi Li,Yunwen Li,Dehua Ma,Yuansheng Ni,Haoran Que,Qiyao Wang,Zhoufutu Wen,Siwei Wu,Tianshun Xing,Ming Xu,Zhenzhu Yang,Zekun Moore Wang,Jun Zhou,Yuelin Bai,Xingyuan Bu,Chenglin Cai,Liang Chen,Yifan Chen,Chengtuo Cheng,Tianhao Cheng,Keyi Ding,Siming Huang,Yun Huang,Yaoru Li,Yizhe Li,Zhaoqun Li,Tianhao Liang,Chengdong Lin,Hongquan Lin,Yinghao Ma,Tianyang Pang,Zhongyuan Peng,Zifan Peng,Qige Qi,Shi Qiu,Xingwei Qu,Shanghaoran Quan,Yizhou Tan,Zili Wang,Chenqing Wang,Hao Wang,Yiya Wang,Yubo Wang,Jiajun Xu,Kexin Yang,Ruibin Yuan,Yuanhao Yue,Tianyang Zhan,Chun Zhang,Jinyang Zhang,Xiyue Zhang,Xingjian Zhang,Yue Zhang,Yongchi Zhao,Xiangyu Zheng,Chenghua Zhong,Yang Gao,Zhoujun Li,Dayiheng Liu,Qian Liu,Tianyu Liu,Shiwen Ni,Junran Peng,Yujia Qin,Wenbo Su,Guoyin Wang,Shi Wang,Jian Yang,Min Yang,Meng Cao,Xiang Yue,Zhaoxiang Zhang,Wangchunshu Zhou,Jiaheng Liu,Qunshu Lin,Wenhao Huang,Ge Zhang:
  SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.CoRRabs/2502.14739 (2025)
• 2024
• 
  [j28]
  Qitao Shi,Ya-Lin Zhang,Lu Yu,Feng Zhu,Longfei Li,Jun Zhou,Yanming Fang:
  A distribution-free method for probabilistic prediction.Expert Syst. Appl.237(Part B):121396 (2024)
• 
  [j27]
  Jun Zhou,Hongbin Chen:
  Finite Element Method on locally refined composite meshes for Dirichlet fractional Laplacian.J. Comput. Sci.82:102433 (2024)
• 
  [j26]
  Chao-Chao Chen,Fei Zheng,Jamie Cui,Yuwei Cao,Guanfeng Liu,Jia Wu,Jun Zhou:
  Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications.Int. J. Mach. Learn. Cybern.15(8):3513-3532 (2024)
• 
  [j25]
  Chaochao Chen,Xiaohua Feng,Yuyuan Li,Lingjuan Lyu,Jun Zhou,Xiaolin Zheng,Jianwei Yin:
  Integration of large language models and federated learning.Patterns5(12):101098 (2024)
• 
  [j24]
  Peng Yi,Lei Liang,Zhang Da,Chen Yong,Jinye Zhu,Xiangyu Liu,Kun Tang,Jialin Chen,Hao Lin,Leijie Qiu,Jun Zhou:
  KGFabric: A Scalable Knowledge Graph Warehouse for Enterprise Data Interconnection.Proc. VLDB Endow.17(12):3841-3854 (2024)
• 
  [j23]
  Chenghui Shi,Shouling Ji,Xudong Pan,Xuhong Zhang,Mi Zhang,Min Yang,Jun Zhou,Jianwei Yin,Ting Wang:
  Towards Practical Backdoor Attacks on Federated Learning Systems.IEEE Trans. Dependable Secur. Comput.21(6):5431-5447 (2024)
• 
  [j22]
  Weichang Wu,Xiaolu Zhang,Shiwan Zhao,Chilin Fu,Jun Zhou:
  Multi-Task Decouple Learning With Hierarchical Attentive Point Process.IEEE Trans. Knowl. Data Eng.36(4):1741-1757 (2024)
• 
  [j21]
  Yonghui Yang,Le Wu,Kun Zhang,Richang Hong,Hailin Zhou,Zhiqiang Zhang,Jun Zhou,Meng Wang:
  Hyperbolic Graph Learning for Social Recommendation.IEEE Trans. Knowl. Data Eng.36(12):8488-8501 (2024)
• 
  [j20]
  Kun Zhang,Le Wu,Guangyi Lv,Enhong Chen,Shulan Ruan,Jing Liu,Zhiqiang Zhang,Jun Zhou,Meng Wang:
  Description-Enhanced Label Embedding Contrastive Learning for Text Classification.IEEE Trans. Neural Networks Learn. Syst.35(10):14889-14902 (2024)
• 
  [c213]
  Fan Zhou,Chen Pan,Lintao Ma,Yu Liu,Siqiao Xue,James Y. Zhang,Jun Zhou,Hongyuan Mei,Weitao Lin,Zi Zhuang,Wenxin Ning,Yunhua Hu:
  GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.AAAI2024:9414-9421
• 
  [c212]
  Junpeng Fang,Gongduo Zhang,Qing Cui,Caizhi Tang,Lihong Gu,Longfei Li,Jinjie Gu,Jun Zhou:
  Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations.AAAI2024:11944-11952
• 
  [c211]
  Hao Qian,Hongting Zhou,Qian Zhao,Hao Chen,Hongxiang Yao,Jingwei Wang,Ziqi Liu,Fei Yu,Zhiqiang Zhang,Jun Zhou:
  MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.AAAI2024:14642-14650
• 
  [c210]
  Yan Wang,Zhixuan Chu,Xin Ouyang,Simeng Wang,Hongyan Hao,Yue Shen,Jinjie Gu,Siqiao Xue,James Zhang,Qing Cui,Longfei Li,Jun Zhou,Sheng Li:
  LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs.AAAI2024:19189-19196
• 
  [c209]
  Yin Gu,Kai Zhang,Qi Liu,Weibo Gao,Longfei Li,Jun Zhou:
  π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control.AAAI2024:21107-21115
• 
  [c208]
  Xiao Tan,Zhaoyang Wang,Hao Qian,Jun Zhou,Peibo Duan,Dian Shen,Meng Wang,Beilun Wang:
  Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix.CIKM2024:2210-2219
• 
  [c207]
  Zuoli Tang,Zhaoxin Huan,Zihao Li,Shirui Hu,Xiaolu Zhang,Jun Zhou,Lixin Zou,Chenliang Li:
  TEXT CAN BE FAIR: Mitigating Popularity Bias with PLMs by Learning Relative Preference.CIKM2024:2240-2249
• 
  [c206]
  Fuwei Zhang,Zhao Zhang,Fuzhen Zhuang,Zhiqiang Zhang,Jun Zhou,Deqing Wang:
  Multi-view Temporal Knowledge Graph Reasoning.CIKM2024:4263-4267
• 
  [c205]
  Shiyu Wang,Zhixuan Chu,Yinbo Sun,Yu Liu,Yuliang Guo,Yang Chen,Huiyang Jian,Lintao Ma,Xingyu Lu,Jun Zhou:
  Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.CIKM2024:4948-4956
• 
  [c204]
  Dong-Dong Wu,Chilin Fu,Weichang Wu,Wenwen Xia,Xiaolu Zhang,Jun Zhou,Min-Ling Zhang:
  Efficient Model Stealing Defense with Noise Transition Matrix.CVPR2024:24305-24315
• 
  [c203]
  Kehang Wang,Ye Liu,Kai Zhang,Qi Liu,Yankun Ren,Xinxing Yang,Longfei Li,Jun Zhou:
  QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction.DASFAA (5)2024:173-189
• 
  [c202]
  Mingyue Cheng,Hao Zhang,Qi Liu,Fajie Yuan,Zhi Li,Zhenya Huang,Enhong Chen,Jun Zhou,Longfei Li:
  Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.DASFAA (3)2024:196-211
• 
  [c201]
  Yue Zhang,Xinxing Yang,Feng Zhu,Longfei Li,Linbo Jiang,Jun Zhou:
  Distributed Meta-learning for Large-Scale Multi-institution Credit Default Risk Prediction.DASFAA (7)2024:313-326
• 
  [c200]
  Borui Ye,Shuo Yang,Meiqi Zhu,Binbin Hu,Daixin Wang,Zhiqiang Zhang,Youqiang He,Zhiyang Hu,Huimei He,Jun Zhou:
  Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction.DASFAA (7)2024:436-440
• 
  [c199]
  Yuemin Chen,Feifan Wu,Jingwei Wang,Hao Qian,Ziqi Liu,Zhiqiang Zhang,Jun Zhou,Meng Wang:
  Knowledge-augmented Financial Market Analysis and Report Generation.EMNLP (Industry Track)2024:1207-1217
• 
  [c198]
  Jintian Zhang,Cheng Peng,Mengshu Sun,Xiang Chen,Lei Liang,Zhiqiang Zhang,Jun Zhou,Huajun Chen,Ningyu Zhang:
  OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.EMNLP (Findings)2024:4088-4119
• 
  [c197]
  Junjie Wang,Mingyang Chen,Binbin Hu,Dan Yang,Ziqi Liu,Yue Shen,Peng Wei,Zhiqiang Zhang,Jinjie Gu,Jun Zhou,Jeff Z. Pan,Wen Zhang,Huajun Chen:
  Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs.EMNLP (Findings)2024:7813-7835
• 
  [c196]
  Jiahui Li,Hanlin Zhang,Fengda Zhang,Tai-Wei Chang,Kun Kuang,Long Chen,Jun Zhou:
  Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning.EMNLP2024:10122-10140
• 
  [c195]
  Yan Wang,Zhixuan Chu,Tao Zhou,Caigao Jiang,Hongyan Hao,Minjie Zhu,Xindong Cai,Qing Cui,Longfei Li,James Y. Zhang,Siqiao Xue,Jun Zhou:
  Enhancing Event Sequence Modeling with Contrastive Relational Inference.ICASSP2024:6145-6149
• 
  [c194]
  Youshao Xiao,Lin Ju,Zhenglei Zhou,Siyuan Li,Zhaoxin Huan,Dalong Zhang,Rujie Jiang,Lin Wang,Xiaolu Zhang,Lei Liang,Jun Zhou:
  AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes.ICDE2024:5238-5251
• 
  [c193]
  Shiyu Wang,Haixu Wu,Xiaoming Shi,Tengge Hu,Huakun Luo,Lintao Ma,James Y. Zhang,Jun Zhou:
  TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.ICLR2024
• 
  [c192]
  Siqiao Xue,Xiaoming Shi,Zhixuan Chu,Yan Wang,Hongyan Hao,Fan Zhou,Caigao Jiang,Chen Pan,James Y. Zhang,Qingsong Wen,Jun Zhou,Hongyuan Mei:
  EasyTPP: Towards Open Benchmarking Temporal Point Processes.ICLR2024
• 
  [c191]
  Kaituo Feng,Changsheng Li,Xiaolu Zhang,Jun Zhou,Ye Yuan,Guoren Wang:
  Keypoint-based Progressive Chain-of-Thought Distillation for LLMs.ICML2024
• 
  [c190]
  Yi-Xuan Sun,Ya-Lin Zhang,Bin Han,Longfei Li,Jun Zhou:
  Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources.ICML2024
• 
  [c189]
  Kaiwen Xue,Yuhao Zhou,Shen Nie,Xu Min,Xiaolu Zhang,Jun Zhou,Chongxuan Li:
  Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations.ICML2024
• 
  [c188]
  Xiuyuan Qi,Ye Liu,Shuang Hao,Zherong Liu,Kun Huang,Minghui Yang,Liang Zhou,Jun Zhou:
  A High-Performance ORB Accelerator with Algorithm and Hardware Co-design for Visual Localization.ISCAS2024:1-5
• 
  [c187]
  Yupeng Wu,Zhibo Zhu,Chaoyi Ma,Hong Qian,Xingyu Lu,Yangwenhui Zhang,Xiaobo Qin,Binjie Fei,Jun Zhou,Aimin Zhou:
  Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim.KDD2024:3448-3459
• 
  [c186]
  Yongfeng Gu,Yupeng Wu,Huakang Lu,Xingyu Lu,Hong Qian,Jun Zhou,Aimin Zhou:
  LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment.KDD2024:5006-5017
• 
  [c185]
  Feng Zhu,Xinxing Yang,Longfei Li,Jun Zhou:
  An Active Masked Attention Framework for Many-to-Many Cross-Domain Recommendations.ACM Multimedia2024:9680-9689
• 
  [c184]
  Bin Han,Yi-Xuan Sun,Ya-Lin Zhang,Libang Zhang,Haoran Hu,Longfei Li,Jun Zhou,Guo Ye,Huimei He:
  Collaborative Refining for Learning from Inaccurate Labels.NeurIPS2024
• 
  [c183]
  Hanxiao Zhang,Lin Ju,Chan Wu,Jinjing Huang,Youshao Xiao,Zhenglei Zhou,Zhiming Fan,Zhaoxin Huan,Siyuan Li,Fanzhuang Meng,Lei Liang,Xiaolu Zhang,Jun Zhou:
  Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models.NeurIPS2024
• 
  [c182]
  Bin Han,Ya-Lin Zhang,Lu Yu,Biying Chen,Longfei Li,Jun Zhou:
  Modeling Treatment Effect with Cross-Domain Data.PAKDD (1)2024:365-377
• 
  [c181]
  Yuxin Guo,Cheng Yang,Chuan Shi,Ke Tu,Zhengwei Wu,Zhiqiang Zhang,Jun Zhou:
  Adaptively Denoising Graph Neural Networks for Knowledge Distillation.ECML/PKDD (8)2024:253-269
• 
  [c180]
  Changxin Tian,Binbin Hu,Chunjing Gan,Haoyu Chen,Zhuo Zhang,Li Yu,Ziqi Liu,Zhiqiang Zhang,Jun Zhou,Jiawei Chen:
  ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool.RecSys2024:63-73
• 
  [c179]
  Yankun Ren,Zhongde Chen,Xinxing Yang,Longfei Li,Cong Jiang,Lei Cheng,Bo Zhang,Linjian Mo,Jun Zhou:
  Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models.SIGIR2024:345-354
• 
  [c178]
  Zhaoxin Huan,Ke Ding,Ang Li,Xiaolu Zhang,Xu Min,Yong He,Liang Zhang,Jun Zhou,Linjian Mo,Jinjie Gu,Zhongyi Liu,Wenliang Zhong,Guannan Zhang,Chenliang Li,Fajie Yuan:
  Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.SIGIR2024:1232-1241
• 
  [c177]
  Binzong Geng,Zhaoxin Huan,Xiaolu Zhang,Yong He,Liang Zhang,Fajie Yuan,Jun Zhou,Linjian Mo:
  Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.SIGIR2024:2311-2315
• 
  [c176]
  Cong Jiang,Zhongde Chen,Bo Zhang,Yankun Ren,Xin Dong,Lei Cheng,Xinxing Yang,Longfei Li,Jun Zhou,Linjian Mo:
  GATS: Generative Audience Targeting System for Online Advertising.SIGIR2024:2920-2924
• 
  [c175]
  Ningyu Zhang,Zekun Xi,Yujie Luo,Peng Wang,Bozhong Tian,Yunzhi Yao,Jintian Zhang,Shumin Deng,Mengshu Sun,Lei Liang,Zhiqiang Zhang,Xiaowei Zhu,Jun Zhou,Huajun Chen:
  OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.VLDB Workshops2024
• 
  [c174]
  Chunjing Gan,Bo Huang,Binbin Hu,Jian Ma,Zhiqiang Zhang,Jun Zhou,Guannan Zhang,Wenliang Zhong:
  PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.WSDM2024:228-237
• 
  [c173]
  Yakun Wang,Binbin Hu,Shuo Yang,Meiqi Zhu,Zhiqiang Zhang,Qiyang Zhang,Jun Zhou,Guo Ye,Huimei He:
  Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction.WSDM2024:760-768
• 
  [c172]
  Ya-Lin Zhang,Caizhi Tang,Lu Yu,Jun Zhou,Longfei Li,Qing Cui,Fangfang Fan,Linbo Jiang,Xiaosong Zhao:
  Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.WSDM2024:1102-1105
• 
  [c171]
  Junpeng Fang,Gongduo Zhang,Qing Cui,Lihong Gu,Longfei Li,Jinjie Gu,Jun Zhou:
  Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge.WWW (Companion Volume)2024:93-102
• 
  [c170]
  Jun Hu,Wenwen Xia,Xiaolu Zhang,Chilin Fu,Weichang Wu,Zhaoxin Huan,Ang Li,Zuoli Tang,Jun Zhou:
  Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning.WWW (Companion Volume)2024:103-111
• 
  [c169]
  Shuhan Wang,Bin Shen,Xu Min,Yong He,Xiaolu Zhang,Liang Zhang,Jun Zhou,Linjian Mo:
  Aligned Side Information Fusion Method for Sequential Recommendation.WWW (Companion Volume)2024:112-120
• 
  [c168]
  Cheng Yang,Chengdong Yang,Chuan Shi,Yawen Li,Zhiqiang Zhang,Jun Zhou:
  Calibrating Graph Neural Networks from a Data-centric Perspective.WWW2024:745-755
• 
  [c167]
  Yongduo Sui,Caizhi Tang,Zhixuan Chu,Junfeng Fang,Yuan Gao,Qing Cui,Longfei Li,Jun Zhou,Xiang Wang:
  Invariant Graph Learning for Causal Effect Estimation.WWW2024:2552-2562
• 
  [c166]
  Shaowei Wei,Zhengwei Wu,Xin Li,Qintong Wu,Zhiqiang Zhang,Jun Zhou,Lihong Gu,Jinjie Gu:
  Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.WWW2024:3767-3776
• 
  [c165]
  Yuling Wang,Changxin Tian,Binbin Hu,Yanhua Yu,Ziqi Liu,Zhiqiang Zhang,Jun Zhou,Liang Pang,Xiao Wang:
  Can Small Language Models be Good Reasoners for Sequential Recommendation?WWW2024:3876-3887
• 
  [i124]
  Ningyu Zhang,Yunzhi Yao,Bozhong Tian,Peng Wang,Shumin Deng,Mengru Wang,Zekun Xi,Shengyu Mao,Jintian Zhang,Yuansheng Ni,Siyuan Cheng,Ziwen Xu,Xin Xu,Jia-Chen Gu,Yong Jiang,Pengjun Xie,Fei Huang,Lei Liang,Zhiqiang Zhang,Xiaowei Zhu,Jun Zhou,Huajun Chen:
  A Comprehensive Study of Knowledge Editing for Large Language Models.CoRRabs/2401.01286 (2024)
• 
  [i123]
  Zhongshu Zhu,Bin Jing,Xiaopei Wan,Zhizhen Liu,Lei Liang,Jun Zhou:
  GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs.CoRRabs/2401.03114 (2024)
• 
  [i122]
  Youshao Xiao,Shangchun Zhao,Zhenglei Zhou,Zhaoxin Huan,Lin Ju,Xiaolu Zhang,Lin Wang,Jun Zhou:
  G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.CoRRabs/2401.04338 (2024)
• 
  [i121]
  Hao Qian,Hongting Zhou,Qian Zhao,Hao Chen,Hongxiang Yao,Jingwei Wang,Ziqi Liu,Fei Yu,Zhiqiang Zhang,Jun Zhou:
  MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.CoRRabs/2402.06633 (2024)
• 
  [i120]
  Yuling Wang,Changxin Tian,Binbin Hu,Yanhua Yu,Ziqi Liu,Zhiqiang Zhang,Jun Zhou,Liang Pang,Xiao Wang:
  Can Small Language Models be Good Reasoners for Sequential Recommendation?CoRRabs/2403.04260 (2024)
• 
  [i119]
  Mingyue Cheng,Hao Zhang,Qi Liu,Fajie Yuan,Zhi Li,Zhenya Huang,Enhong Chen,Jun Zhou,Longfei Li:
  Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.CoRRabs/2403.07623 (2024)
• 
  [i118]
  Binzong Geng,Zhaoxin Huan,Xiaolu Zhang,Yong He,Liang Zhang,Fajie Yuan,Jun Zhou,Linjian Mo:
  Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.CoRRabs/2403.19347 (2024)
• 
  [i117]
  Shaowei Wei,Zhengwei Wu,Xin Li,Qintong Wu,Zhiqiang Zhang,Jun Zhou,Lihong Gu,Jinjie Gu:
  Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation.CoRRabs/2404.07219 (2024)
• 
  [i116]
  Youshao Xiao,Lin Ju,Zhenglei Zhou,Siyuan Li,Zhaoxin Huan,Dalong Zhang,Rujie Jiang,Lin Wang,Xiaolu Zhang,Lei Liang,Jun Zhou:
  AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes.CoRRabs/2404.09679 (2024)
• 
  [i115]
  Siyuan Li,Youshao Xiao,Fanzhuang Meng,Lin Ju,Lei Liang,Lin Wang,Jun Zhou:
  AntBatchInfer: Elastic Batch Inference in the Kubernetes Cluster.CoRRabs/2404.09686 (2024)
• 
  [i114]
  Kaiwen Xue,Yuhao Zhou,Shen Nie,Xu Min,Xiaolu Zhang,Jun Zhou,Chongxuan Li:
  Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations.CoRRabs/2404.15766 (2024)
• 
  [i113]
  Shiyu Wang,Haixu Wu,Xiaoming Shi,Tengge Hu,Huakun Luo,Lintao Ma,James Y. Zhang,Jun Zhou:
  TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.CoRRabs/2405.14616 (2024)
• 
  [i112]
  Fan Liu,Liang Yao,Chuanyi Zhang,Ting Wu,Xinlei Zhang,Xiruo Jiang,Jun Zhou:
  Scale-Invariant Feature Disentanglement via Adversarial Learning for UAV-based Object Detection.CoRRabs/2405.15465 (2024)
• 
  [i111]
  Kaituo Feng,Changsheng Li,Xiaolu Zhang,Jun Zhou,Ye Yuan,Guoren Wang:
  Keypoint-based Progressive Chain-of-Thought Distillation for LLMs.CoRRabs/2405.16064 (2024)
• 
  [i110]
  Chunjing Gan,Binbin Hu,Bo Huang,Ziqi Liu,Jian Ma,Zhiqiang Zhang,Wenliang Zhong,Jun Zhou:
  Your decision path does matter in pre-training industrial recommenders with multi-source behaviors.CoRRabs/2405.17132 (2024)
• 
  [i109]
  Chunjing Gan,Dan Yang,Binbin Hu,Hanxiao Zhang,Siyuan Li,Ziqi Liu,Yue Shen,Lin Ju,Zhiqiang Zhang,Jinjie Gu,Lei Liang,Jun Zhou:
  Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts.CoRRabs/2405.19893 (2024)
• 
  [i108]
  Boxin Zhao,Weishi Wang,Dingyuan Zhu,Ziqi Liu,Dong Wang,Zhiqiang Zhang,Jun Zhou,Mladen Kolar:
  Personalized Binomial DAGs Learning with Network Structured Covariates.CoRRabs/2406.06829 (2024)
• 
  [i107]
  Gangwei Jiang,Caigao Jiang,Zhaoyi Li,Siqiao Xue,Jun Zhou,Linqi Song,Defu Lian,Ying Wei:
  Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector.CoRRabs/2406.12227 (2024)
• 
  [i106]
  Fan Zhou,Chen Pan,Lintao Ma,Yu Liu,James Y. Zhang,Jun Zhou,Hongyuan Mei,Weitao Lin,Zi Zhuang,Wenxin Ning,Yunhua Hu,Siqiao Xue:
  GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting.CoRRabs/2406.12242 (2024)
• 
  [i105]
  Junjie Wang,Mingyang Chen,Binbin Hu,Dan Yang,Ziqi Liu,Yue Shen,Peng Wei,Zhiqiang Zhang,Jinjie Gu,Jun Zhou,Jeff Z. Pan,Wen Zhang,Huajun Chen:
  Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs.CoRRabs/2406.14282 (2024)
• 
  [i104]
  Shiyu Wang,Zhixuan Chu,Yinbo Sun,Yu Liu,Yuliang Guo,Yang Chen,Huiyang Jian,Lintao Ma,Xingyu Lu,Jun Zhou:
  Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting.CoRRabs/2407.19697 (2024)
• 
  [i103]
  Fan Liu,Wenwen Cai,Jian Huo,Chuanyi Zhang,Delong Chen,Jun Zhou:
  Making Large Vision Language Models to be Good Few-shot Learners.CoRRabs/2408.11297 (2024)
• 
  [i102]
  Jintian Zhang,Cheng Peng,Mengshu Sun,Xiang Chen,Lei Liang,Zhiqiang Zhang,Jun Zhou,Huajun Chen,Ningyu Zhang:
  OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs.CoRRabs/2409.05152 (2024)
• 
  [i101]
  Ningyu Zhang,Zekun Xi,Yujie Luo,Peng Wang,Bozhong Tian,Yunzhi Yao,Jintian Zhang,Shumin Deng,Mengshu Sun,Lei Liang,Zhiqiang Zhang,Xiaowei Zhu,Jun Zhou,Huajun Chen:
  OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System.CoRRabs/2409.07497 (2024)
• 
  [i100]
  Lei Liang,Mengshu Sun,Zhengke Gui,Zhongshu Zhu,Zhouyu Jiang,Ling Zhong,Yuan Qu,Peilong Zhao,Zhongpu Bo,Jin Yang,Huaidong Xiong,Lin Yuan,Jun Xu,Zaoyang Wang,Zhiqiang Zhang,Wen Zhang,Huajun Chen,Wenguang Chen,Jun Zhou:
  KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation.CoRRabs/2409.13731 (2024)
• 
  [i99]
  Shiyu Miao,Delong Chen,Fan Liu,Chuanyi Zhang,Yanhui Gu,Shengjie Guo,Jun Zhou:
  Prompting DirectSAM for Semantic Contour Extraction in Remote Sensing Images.CoRRabs/2410.06194 (2024)
• 
  [i98]
  Caigao Jiang,Xiang Shu,Hong Qian,Xingyu Lu,Jun Zhou,Aimin Zhou,Yang Yu:
  LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch.CoRRabs/2410.13213 (2024)
• 
  [i97]
  Binbin Hu,Zhicheng An,Zhengwei Wu,Ke Tu,Ziqi Liu,Zhiqiang Zhang,Jun Zhou,Yufei Feng,Jiawei Chen:
  Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data.CoRRabs/2412.03913 (2024)
• 
  [i96]
  Guangwenjie Zou,Liang Yao,Fan Liu,Chuanyi Zhang,Xin Li,Ning Chen,Shengxiang Xu,Jun Zhou:
  RemoteTrimmer: Adaptive Structural Pruning for Remote Sensing Image Classification.CoRRabs/2412.12603 (2024)
• 
  [i95]
  Jiahui Li,Tai-Wei Chang,Kun Kuang,Ximing Li,Long Chen,Jun Zhou:
  Learning Causal Transition Matrix for Instance-dependent Label Noise.CoRRabs/2412.13516 (2024)
• 
  [i94]
  Yujie Luo,Xiangyuan Ru,Kangwei Liu,Lin Yuan,Mengshu Sun,Ningyu Zhang,Lei Liang,Zhiqiang Zhang,Jun Zhou,Lanning Wei,Da Zheng,Haofen Wang,Huajun Chen:
  OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System.CoRRabs/2412.20005 (2024)
• 2023
• 
  [j19]
  Ya-Lin Zhang,Jun Zhou,Qitao Shi,Longfei Li:
  Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression.Expert Syst. Appl.213(Part):118931 (2023)
• 
  [j18]
  Caizhi Tang,Qing Cui,Longfei Li,Jun Zhou:
  GINT: A Generative Interpretability method via perturbation in the latent space.Expert Syst. Appl.232:120570 (2023)
• 
  [j17]
  Ting Wu,Hong Qian,Ziqi Liu,Jun Zhou,Aimin Zhou:
  Bi-objective evolutionary Bayesian network structure learning via skeleton constraint.Frontiers Comput. Sci.17(6):176350 (2023)
• 
  [j16]
  Jun Zhou,Ke Zhang,Lin Wang,Hua Wu,Yi Wang,Chaochao Chen:
  SQLFlow: An Extensible Toolkit Integrating DB and AI.J. Mach. Learn. Res.24:116:1-116:9 (2023)
• 
  [j15]
  Jin Zhao,Yu Zhang,Ligang He,Qikun Li,Xiang Zhang,Xinyu Jiang,Hui Yu,Xiaofei Liao,Hai Jin,Lin Gu,Haikun Liu,Bingsheng He,Ji Zhang,Xianzheng Song,Lin Wang,Jun Zhou:
  GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing.ACM Trans. Archit. Code Optim.20(3):37:1-37:24 (2023)
• 
  [j14]
  Yiming Wu,Zhiyuan Xie,Shouling Ji,Zhenguang Liu,Xuhong Zhang,Changting Lin,Shuiguang Deng,Jun Zhou,Ting Wang,Raheem Beyah:
  Fraud-Agents Detection in Online Microfinance: A Large-Scale Empirical Study.IEEE Trans. Dependable Secur. Comput.20(2):1169-1185 (2023)
• 
  [j13]
  Pengyu Qiu,Xuhong Zhang,Shouling Ji,Tianyu Du,Yuwen Pu,Jun Zhou,Ting Wang:
  Your Labels are Selling You Out: Relation Leaks in Vertical Federated Learning.IEEE Trans. Dependable Secur. Comput.20(5):3653-3668 (2023)
• 
  [j12]
  Kai Zhang,Qi Liu,Hao Qian,Biao Xiang,Qing Cui,Jun Zhou,Enhong Chen:
  EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis.IEEE Trans. Knowl. Data Eng.35(1):377-389 (2023)
• 
  [j11]
  Feng Zhu,Yan Wang,Jun Zhou,Chaochao Chen,Longfei Li,Guanfeng Liu:
  A Unified Framework for Cross-Domain and Cross-System Recommendations.IEEE Trans. Knowl. Data Eng.35(2):1171-1184 (2023)
• 
  [j10]
  Qinghua Zheng,Zhen Peng,Zhuohang Dang,Linchao Zhu,Ziqi Liu,Zhiqiang Zhang,Jun Zhou:
  Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks.IEEE Trans. Knowl. Data Eng.35(9):9715-9727 (2023)
• 
  [c164]
  Yi-Xuan Sun,Ya-Lin Zhang,Wei Wang,Longfei Li,Jun Zhou:
  Treatment Effect Estimation across Domains.CIKM2023:2352-2361
• 
  [c163]
  Changxin Tian,Binbin Hu,Wayne Xin Zhao,Zhiqiang Zhang,Jun Zhou:
  Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation.CIKM2023:2442-2451
• 
  [c162]
  Ke Tu,Wei Qu,Zhengwei Wu,Zhiqiang Zhang,Zhongyi Liu,Yiming Zhao,Le Wu,Jun Zhou,Guannan Zhang:
  Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation.CIKM2023:2482-2491
• 
  [c161]
  Lu Yu,Meng Li,Ya-Lin Zhang,Longfei Li,Jun Zhou:
  FINRule: Feature Interactive Neural Rule Learning.CIKM2023:3020-3029
• 
  [c160]
  Xu Min,Xiaolu Zhang,Bin Shen,Shuhan Wang,Yong He,Changsheng Li,Jun Zhou:
  SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation.CIKM2023:4205-4209
• 
  [c159]
  Youshao Xiao,Shangchun Zhao,Zhenglei Zhou,Zhaoxin Huan,Lin Ju,Xiaolu Zhang,Lin Wang,Jun Zhou:
  G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems.CIKM2023:4365-4369
• 
  [c158]
  Chilin Fu,Weichang Wu,Xiaolu Zhang,Jun Hu,Jing Wang,Jun Zhou:
  Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction.CIKM2023:4567-4573
• 
  [c157]
  Hongyan Hao,Zhixuan Chu,Shiyi Zhu,Gangwei Jiang,Yan Wang,Caigao Jiang,James Y. Zhang,Wei Jiang,Siqiao Xue,Jun Zhou:
  Continual Learning in Predictive Autoscaling.CIKM2023:4616-4622
• 
  [c156]
  Jun Zhou,Qitao Shi,Yi Ding,Lin Wang,Longfei Li,Feng Zhu:
  AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data.DASFAA (4)2023:477-489
• 
  [c155]
  Ang Li,Jian Hu,Wei Lu,Ke Ding,Xiaolu Zhang,Jun Zhou,Yong He,Liang Zhang,Lihong Gu:
  Global-Aware Model-Free Self-distillation for Recommendation System.DASFAA (4)2023:515-518
• 
  [c154]
  Ke Tu,Zhengwei Wu,Binbin Hu,Zhiqiang Zhang,Peng Cui,Xiaolong Li,Jun Zhou:
  A Scalable Social Recommendation Framework with Decoupled Graph Neural Network.DASFAA (4)2023:519-531
• 
  [c153]
  Yangyang Hou,Daixin Wang,Binbin Hu,Ruoyu Zhuang,Zhiqiang Zhang,Jun Zhou,Feng Zhao,Yulin Kang,Zhanwen Qiao:
  Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks.DASFAA (4)2023:544-555
• 
  [c152]
  Gangwei Jiang,Caigao Jiang,Siqiao Xue,James Zhang,Jun Zhou,Defu Lian,Ying Wei:
  Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts.EMNLP (Findings)2023:12081-12095
• 
  [c151]
  Ya-Lin Zhang,Jun Zhou,Yankun Ren,Yue Zhang,Xinxing Yang,Meng Li,Qitao Shi,Longfei Li:
  ALT: An Automatic System for Long Tail Scenario Modeling.ICDE2023:3017-3030
• 
  [c150]
  Feng Zhu,Mingjie Zhong,Xinxing Yang,Longfei Li,Lu Yu,Tiehua Zhang,Jun Zhou,Chaochao Chen,Fei Wu,Guanfeng Liu,Yan Wang:
  DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.ICDE2023:3113-3125
• 
  [c149]
  Weifan Wang,Binbin Hu,Zhicheng Peng,Mingjie Zhong,Zhiqiang Zhang,Zhongyi Liu,Guannan Zhang,Jun Zhou:
  GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning.ICDE2023:3182-3195
• 
  [c148]
  Dalong Zhang,Xianzheng Song,Zhiyang Hu,Yang Li,Miao Tao,Binbin Hu,Lin Wang,Zhiqiang Zhang,Jun Zhou:
  InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs.ICDE2023:3235-3247
• 
  [c147]
  Meng Li,Jun Zhou,Lu Yu,Xiaoguang Huang,Yongfeng Gu,Yi Ding,Hao Ding,Longfei Li:
  A Rule-based Decision System for Financial Applications.ICDE2023:3535-3548
• 
  [c146]
  Yan Wang,Zhixuan Chu,Tao Zhou,Caigao Jiang,Hongyan Hao,Minjie Zhu,Xindong Cai,Qing Cui,Longfei Li,James Y. Zhang,Siqiao Xue,Jun Zhou:
  Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference.ICDM (Workshops)2023:588-592
• 
  [c145]
  Kaituo Feng,Changsheng Li,Xiaolu Zhang,Jun Zhou:
  Towards Open Temporal Graph Neural Networks.ICLR2023
• 
  [c144]
  Caizhi Tang,Huiyuan Wang,Xinyu Li,Qing Cui,Longfei Li,Jun Zhou:
  Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding.ICML2023:33792-33803
• 
  [c143]
  Meikai Bao,Qi Liu,Kai Zhang,Ye Liu,Linan Yue,Longfei Li,Jun Zhou:
  Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering.IJCAI2023:5012-5020
• 
  [c142]
  Daixin Wang,Zhiqiang Zhang,Yeyu Zhao,Kai Huang,Yulin Kang,Jun Zhou:
  Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning.KDD2023:2233-2242
• 
  [c141]
  Zhaoxin Huan,Ang Li,Xiaolu Zhang,Xu Min,Jieyu Yang,Yong He,Jun Zhou:
  SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation.KDD2023:4175-4184
• 
  [c140]
  Xiaoling Zang,Binbin Hu,Jun Chu,Zhiqiang Zhang,Guannan Zhang,Jun Zhou,Wenliang Zhong:
  Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay.KDD2023:5509-5519
• 
  [c139]
  Jun Zhou,Yang Bao,Daohong Jian,Hua Wu:
  PDAS: A Practical Distributed ADMM System for Large-Scale Linear Programming Problems at Alipay.KDD2023:5717-5727
• 
  [c138]
  Jia Gu,Caizhi Tang,Han Yan,Qing Cui,Longfei Li,Jun Zhou:
  FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation.NeurIPS2023
• 
  [c137]
  Xiaoming Shi,Siqiao Xue,Kangrui Wang,Fan Zhou,James Y. Zhang,Jun Zhou,Chenhao Tan,Hongyuan Mei:
  Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.NeurIPS2023
• 
  [c136]
  Yongduo Sui,Qitian Wu,Jiancan Wu,Qing Cui,Longfei Li,Jun Zhou,Xiang Wang,Xiangnan He:
  Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift.NeurIPS2023
• 
  [c135]
  Siqiao Xue,Yan Wang,Zhixuan Chu,Xiaoming Shi,Caigao Jiang,Hongyan Hao,Gangwei Jiang,Xiaoyun Feng,James Zhang,Jun Zhou:
  Prompt-augmented Temporal Point Process for Streaming Event Sequence.NeurIPS2023
• 
  [c134]
  Shaowei Wei,Zhengwei Wu,Zhiqiang Zhang,Jun Zhou:
  Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation.ECML/PKDD (3)2023:87-103
• 
  [c133]
  Jun Hu,Xu Min,Xiaolu Zhang,Chilin Fu,Weichang Wu,Jun Zhou:
  BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency.ECML/PKDD (6)2023:259-274
• 
  [c132]
  Qian Zhao,Zhengwei Wu,Zhiqiang Zhang,Jun Zhou:
  Long-Tail Augmented Graph Contrastive Learning for Recommendation.ECML/PKDD (4)2023:387-403
• 
  [c131]
  Zuoli Tang,Lin Wang,Lixin Zou,Xiaolu Zhang,Jun Zhou,Chenliang Li:
  Towards Multi-Interest Pre-training with Sparse Capsule Network.SIGIR2023:311-320
• 
  [c130]
  Yonghui Yang,Zhengwei Wu,Le Wu,Kun Zhang,Richang Hong,Zhiqiang Zhang,Jun Zhou,Meng Wang:
  Generative-Contrastive Graph Learning for Recommendation.SIGIR2023:1117-1126
• 
  [c129]
  Jingyuan Li,Yue Zhang,Xuan Lin,Xinxing Yang,Ge Zhou,Longfei Li,Hong Chen,Jun Zhou:
  TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation.SIGIR2023:2415-2419
• 
  [c128]
  Ang Li,Jian Hu,Ke Ding,Xiaolu Zhang,Jun Zhou,Yong He,Xu Min:
  Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System.SIGIR2023:2471-2475
• 
  [c127]
  Chunjing Gan,Binbin Hu,Bo Huang,Tianyu Zhao,Yingru Lin,Wenliang Zhong,Zhiqiang Zhang,Jun Zhou,Chuan Shi:
  Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework.SIGIR2023:2516-2520
• 
  [c126]
  Sicong Xie,Binbin Hu,Fengze Li,Ziqi Liu,Zhiqiang Zhang,Wenliang Zhong,Jun Zhou:
  COUPA: An Industrial Recommender System for Online to Offline Service Platforms.SIGIR2023:3235-3239
• 
  [c125]
  Daohong Jian,Yang Bao,Jun Zhou,Hua Wu:
  A Practical Online Allocation Framework at Industry-scale in Constrained Recommendation.SIGIR2023:3270-3274
• 
  [c124]
  Han Zhao,Qing Cui,Xinyu Li,Rongzhou Bao,Longfei Li,Jun Zhou,Zhehao Liu,Jinghua Feng:
  MDI: A Debiasing Method Combining Unbiased and Biased Data.SIGIR2023:3280-3284
• 
  [c123]
  Junpeng Fang,Qing Cui,Gongduo Zhang,Caizhi Tang,Lihong Gu,Longfei Li,Jinjie Gu,Jun Zhou,Fei Wu:
  Alleviating Matching Bias in Marketing Recommendations.SIGIR2023:3359-3363
• 
  [c122]
  Yankun Ren,Xinxing Yang,Xingyu Lu,Longfei Li,Jun Zhou,Jinjie Gu,Guannan Zhang:
  GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems.SIGIR2023:3364-3368
• 
  [c121]
  Ya-Lin Zhang,Yi-Xuan Sun,Fangfang Fan,Meng Li,Yeyu Zhao,Wei Wang,Longfei Li,Jun Zhou,Jinghua Feng:
  A Framework for Detecting Frauds from Extremely Few Labels.WSDM2023:1124-1127
• 
  [c120]
  Jun Zhou,Ke Zhang,Feng Zhu,Qitao Shi,Wenjing Fang,Lin Wang,Yi Wang:
  ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling.WSDM2023:1148-1151
• 
  [c119]
  Yi Ding,Jun Zhou,Qing Cui,Lin Wang,Mengqi Zhang,Yang Dong:
  DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network.WSDM2023:1184-1187
• 
  [c118]
  Jianping Wei,Zhibo Zhu,Ziqi Liu,Zhiqiang Zhang,Jun Zhou:
  AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios.WSDM2023:1192-1195
• 
  [c117]
  Dingyuan Zhu,Daixin Wang,Zhiqiang Zhang,Kun Kuang,Yan Zhang,Yulin Kang,Jun Zhou:
  Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling.WWW2023:395-405
• 
  [c116]
  Jun Zhou,Meng Li,Lu Yu,Longfei Li,Fei Wu:
  A Practical Rule Learning Framework for Risk Management.WWW (Companion Volume)2023:442-446
• 
  [c115]
  Jun Zhou,Caizhi Tang,Qing Cui,Yi Ding,Longfei Li,Fei Wu:
  DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay.WWW (Companion Volume)2023:447-451
• 
  [c114]
  Jun Zhou,Chilin Fu,Xiaolu Zhang:
  Multi-Source Domain Adaptation via Latent Domain Reconstruction.WWW (Companion Volume)2023:523-527
• 
  [c113]
  Lei Chen,Le Wu,Kun Zhang,Richang Hong,Defu Lian,Zhiqiang Zhang,Jun Zhou,Meng Wang:
  Improving Recommendation Fairness via Data Augmentation.WWW2023:1012-1020
• 
  [c112]
  Jianhao Jia,Hao Li,Kai Liu,Ziqi Liu,Jun Zhou,Nikolai Gravin,Zhihao Gavin Tang:
  Online resource allocation in Markov Chains.WWW2023:3498-3507
• 
  [i93]
  Feng Zhu,Mingjie Zhong,Xinxing Yang,Longfei Li,Lu Yu,Tiehua Zhang,Jun Zhou,Chaochao Chen,Fei Wu,Guanfeng Liu,Yan Wang:
  DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation.CoRRabs/2302.06141 (2023)
• 
  [i92]
  Lei Chen,Le Wu,Kun Zhang,Richang Hong,Defu Lian,Zhiqiang Zhang,Jun Zhou,Meng Wang:
  Improving Recommendation Fairness via Data Augmentation.CoRRabs/2302.06333 (2023)
• 
  [i91]
  Kaituo Feng,Changsheng Li,Xiaolu Zhang,Jun Zhou:
  Towards Open Temporal Graph Neural Networks.CoRRabs/2303.15015 (2023)
• 
  [i90]
  Weifan Wang,Binbin Hu,Zhicheng Peng,Mingjie Zhong,Zhiqiang Zhang,Zhongyi Liu,Guannan Zhang,Jun Zhou:
  GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning.CoRRabs/2304.12537 (2023)
• 
  [i89]
  Sicong Xie,Binbin Hu,Fengze Li,Ziqi Liu,Zhiqiang Zhang,Wenliang Zhong,Jun Zhou:
  COUPA: An Industrial Recommender System for Online to Offline Service Platforms.CoRRabs/2304.12549 (2023)
• 
  [i88]
  Ya-Lin Zhang,Jun Zhou,Yankun Ren,Yue Zhang,Xinxing Yang,Meng Li,Qitao Shi,Longfei Li:
  ALT: An Automatic System for Long Tail Scenario Modeling.CoRRabs/2305.11390 (2023)
• 
  [i87]
  Xiaoming Shi,Siqiao Xue,Kangrui Wang,Fan Zhou,James Y. Zhang,Jun Zhou,Chenhao Tan,Hongyuan Mei:
  Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning.CoRRabs/2305.16646 (2023)
• 
  [i86]
  Kun Zhang,Le Wu,Guangyi Lv,Enhong Chen,Shulan Ruan,Jing Liu,Zhiqiang Zhang,Jun Zhou,Meng Wang:
  Description-Enhanced Label Embedding Contrastive Learning for Text Classification.CoRRabs/2306.08817 (2023)
• 
  [i85]
  Dalong Zhang,Xianzheng Song,Zhiyang Hu,Yang Li,Miao Tao,Binbin Hu,Lin Wang,Zhiqiang Zhang,Jun Zhou:
  InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs.CoRRabs/2307.00228 (2023)
• 
  [i84]
  Yonghui Yang,Zhengwei Wu,Le Wu,Kun Zhang,Richang Hong,Zhiqiang Zhang,Jun Zhou,Meng Wang:
  Generative Contrastive Graph Learning for Recommendation.CoRRabs/2307.05100 (2023)
• 
  [i83]
  Siqiao Xue,Xiaoming Shi,Zhixuan Chu,Yan Wang,Fan Zhou,Hongyan Hao,Caigao Jiang,Chen Pan,Yi Xu,James Y. Zhang,Qingsong Wen,Jun Zhou,Hongyuan Mei:
  EasyTPP: Towards Open Benchmarking the Temporal Point Processes.CoRRabs/2307.08097 (2023)
• 
  [i82]
  Chaochao Chen,Xiaohua Feng,Jun Zhou,Jianwei Yin,Xiaolin Zheng:
  Federated Large Language Model: A Position Paper.CoRRabs/2307.08925 (2023)
• 
  [i81]
  Hongyan Hao,Zhixuan Chu,Shiyi Zhu,Gangwei Jiang,Yan Wang,Caigao Jiang,James Zhang,Wei Jiang,Siqiao Xue,Jun Zhou:
  Continual Learning in Predictive Autoscaling.CoRRabs/2307.15941 (2023)
• 
  [i80]
  Siqiao Xue,Fan Zhou,Yi Xu,Hongyu Zhao,Shuo Xie,Qingyang Dai,Caigao Jiang,James Y. Zhang,Jun Zhou,Dacheng Xiu,Hongyuan Mei:
  WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine.CoRRabs/2308.05361 (2023)
• 
  [i79]
  Yan Wang,Zhixuan Chu,Xin Ouyang,Simeng Wang,Hongyan Hao,Yue Shen,Jinjie Gu,Siqiao Xue,James Y. Zhang,Qing Cui,Longfei Li,Jun Zhou,Sheng Li:
  Enhancing Recommender Systems with Large Language Model Reasoning Graphs.CoRRabs/2308.10835 (2023)
• 
  [i78]
  Zhaoxin Huan,Ke Ding,Ang Li,Xiaolu Zhang,Xu Min,Yong He,Liang Zhang,Jun Zhou,Linjian Mo,Jinjie Gu,Zhongyi Liu,Wenliang Zhong,Guannan Zhang:
  AntM²C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction.CoRRabs/2308.16437 (2023)
• 
  [i77]
  Yan Wang,Zhixuan Chu,Tao Zhou,Caigao Jiang,Hongyan Hao,Minjie Zhu,Xindong Cai,Qing Cui,Longfei Li,James Y. Zhang,Siqiao Xue,Jun Zhou:
  Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference.CoRRabs/2309.02868 (2023)
• 
  [i76]
  Qian Zhao,Zhengwei Wu,Zhiqiang Zhang,Jun Zhou:
  Long-tail Augmented Graph Contrastive Learning for Recommendation.CoRRabs/2309.11177 (2023)
• 
  [i75]
  Siqiao Xue,Yan Wang,Zhixuan Chu,Xiaoming Shi,Caigao Jiang,Hongyan Hao,Gangwei Jiang,Xiaoyun Feng,James Y. Zhang,Jun Zhou:
  Prompt-augmented Temporal Point Process for Streaming Event Sequence.CoRRabs/2310.04993 (2023)
• 
  [i74]
  Chan Wu,Hanxiao Zhang,Lin Ju,Jinjing Huang,Youshao Xiao,Zhaoxin Huan,Siyuan Li,Fanzhuang Meng,Lei Liang,Xiaolu Zhang,Jun Zhou:
  Rethinking Memory and Communication Cost for Efficient Large Language Model Training.CoRRabs/2310.06003 (2023)
• 
  [i73]
  Gangwei Jiang,Caigao Jiang,Siqiao Xue,James Y. Zhang,Jun Zhou,Defu Lian,Ying Wei:
  Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt.CoRRabs/2310.13024 (2023)
• 
  [i72]
  Zuoli Tang,Zhaoxin Huan,Zihao Li,Xiaolu Zhang,Jun Hu,Chilin Fu,Jun Zhou,Chenliang Li:
  One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems.CoRRabs/2310.14304 (2023)
• 
  [i71]
  Zhixuan Chu,Huaiyu Guo,Xinyuan Zhou,Yijia Wang,Fei Yu,Hong Chen,Wanqing Xu,Xin Lu,Qing Cui,Longfei Li,Jun Zhou,Sheng Li:
  Data-Centric Financial Large Language Models.CoRRabs/2310.17784 (2023)
• 
  [i70]
  Chunjing Gan,Binbin Hu,Bo Huang,Tianyu Zhao,Yingru Lin,Wenliang Zhong,Zhiqiang Zhang,Jun Zhou,Chuan Shi:
  Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework.CoRRabs/2311.13864 (2023)
• 
  [i69]
  Chunjing Gan,Bo Huang,Binbin Hu,Jian Ma,Ziqi Liu,Zhiqiang Zhang,Jun Zhou,Guannan Zhang,Wenliang Zhong:
  PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.CoRRabs/2312.01916 (2023)
• 
  [i68]
  Yakun Wang,Binbin Hu,Shuo Yang,Meiqi Zhu,Zhiqiang Zhang,Qiyang Zhang,Jun Zhou,Guo Ye,Huimei He:
  Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction.CoRRabs/2312.04815 (2023)
• 
  [i67]
  Chunjing Gan,Dan Yang,Binbin Hu,Ziqi Liu,Yue Shen,Zhiqiang Zhang,Jinjie Gu,Jun Zhou,Guannan Zhang:
  Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation.CoRRabs/2312.05276 (2023)
• 
  [i66]
  Youshao Xiao,Weichang Wu,Zhenglei Zhou,Fagui Mao,Shangchun Zhao,Lin Ju,Lei Liang,Xiaolu Zhang,Jun Zhou:
  An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training.CoRRabs/2312.11819 (2023)
• 2022
• 
  [j9]
  Jun-Peng Fang,Jun Zhou,Qing Cui,Caizhi Tang,Longfei Li:
  Interpreting Model Predictions with Constrained Perturbation and Counterfactual Instances.Int. J. Pattern Recognit. Artif. Intell.36(1):2251001:1-2251001:23 (2022)
• 
  [j8]
  Jun Zhou,Chaochao Chen,Longfei Li,Zhiqiang Zhang,Xiaolin Zheng:
  FinBrain 2.0: when finance meets trustworthy AI.Frontiers Inf. Technol. Electron. Eng.23(12):1747-1764 (2022)
• 
  [j7]
  Jun Zhou,Longfei Zheng,Chaochao Chen,Yan Wang,Xiaolin Zheng,Bingzhe Wu,Cen Chen,Li Wang,Jianwei Yin:
  Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.ACM Trans. Intell. Syst. Technol.13(4):53:1-53:21 (2022)
• 
  [c111]
  Deyu Bo,Binbin Hu,Xiao Wang,Zhiqiang Zhang,Chuan Shi,Jun Zhou:
  Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations.AAAI2022:3913-3921
• 
  [c110]
  Mengmei Zhang,Xiao Wang,Meiqi Zhu,Chuan Shi,Zhiqiang Zhang,Jun Zhou:
  Robust Heterogeneous Graph Neural Networks against Adversarial Attacks.AAAI2022:4363-4370
• 
  [c109]
  Lu Yu,Shichao Pei,Lizhong Ding,Jun Zhou,Longfei Li,Chuxu Zhang,Xiangliang Zhang:
  SAIL: Self-Augmented Graph Contrastive Learning.AAAI2022:8927-8935
• 
  [c108]
  Xinyu Li,Yilin Li,Qing Cui,Longfei Li,Jun Zhou:
  Robust Direct Learning for Causal Data Fusion.ACML2022:611-626
• 
  [c107]
  Yue Zhang,Xinxing Yang,Feng Zhu,Yalin Zhang,Meng Li,Qitao Shi,Longfei Li,Jun Zhou:
  A Task-Aware Attention-Based Method for Improved Meta-Learning.APWeb/WAIM (2)2022:474-482
• 
  [c106]
  Xinshun Feng,Herun Wan,Shangbin Feng,Hongrui Wang,Qinghua Zheng,Jun Zhou,Minnan Luo:
  GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.CIKM2022:520-529
• 
  [c105]
  Lu Yu,Shichao Pei,Feng Zhu,Longfei Li,Jun Zhou,Chuxu Zhang,Xiangliang Zhang:
  A Biased Sampling Method for Imbalanced Personalized Ranking.CIKM2022:2393-2402
• 
  [c104]
  Meng Li,Lu Yu,Ya-Lin Zhang,Xiaoguang Huang,Qitao Shi,Qing Cui,Xinxing Yang,Longfei Li,Wei Zhu,Yanming Fang,Jun Zhou:
  An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset.CIKM2022:3252-3261
• 
  [c103]
  Jun Zhou,Feng Qi,Zhigang Hua,Daohong Jian,Ziqi Liu,Hua Wu:
  A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems.CIKM2022:3715-3724
• 
  [c102]
  Jun-Peng Fang,Caizhi Tang,Qing Cui,Feng Zhu,Longfei Li,Jun Zhou,Wei Zhu:
  Semi-Supervised Learning with Data Augmentation for Tabular Data.CIKM2022:3928-3932
• 
  [c101]
  Hao Qian,Qintong Wu,Minghao Li,Zhengwei Wu,Zhiqiang Zhang,Jun Zhou,Lihong Gu,Jinjie Gu:
  FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.CIKM2022:4404-4408
• 
  [c100]
  Jieyu Yang,Zhaoxin Huan,Yong He,Ke Ding,Liang Zhang,Xiaolu Zhang,Jun Zhou,Linjian Mo:
  Task Similarity Aware Meta Learning for Cold-Start Recommendation.CIKM2022:4630-4634
• 
  [c99]
  Lu Yu,Meng Li,Xiaoguang Huang,Wei Zhu,Yanming Fang,Jun Zhou,Longfei Li:
  MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection.CIKM2022:4650-4654
• 
  [c98]
  Linge Jiang,Guiyang Wang,Zhibo Zhu,Binghao Wang,Runsheng Gan,Ziqi Liu,Jun Zhou:
  A Real-time Post-processing System for Itinerary Recommendation.CIKM2022:4882-4886
• 
  [c97]
  Yongfeng Gu,Yue Ning,Hao Ding,Kecai Gu,Daohong Jian,Zhou Xu,Hua Wu,Jun Zhou:
  A Self-adaptive Indicator Selection Approach for Solving Credit Risk Assessment.COMPSAC2022:1567-1572
• 
  [c96]
  Shih-Han Chan,Yinpeng Dong,Jun Zhu,Xiaolu Zhang,Jun Zhou:
  BadDet: Backdoor Attacks on Object Detection.ECCV Workshops (1)2022:396-412
• 
  [c95]
  Hao Ding,Yongfeng Gu,Hua Wu,Jun Zhou:
  NL-SOMA-CLP for real parameter single objective bound constrained optimization.GECCO Companion2022:5-6
• 
  [c94]
  Yongfeng Gu,Hao Ding,Hua Wu,Jun Zhou:
  Opposite learning and multi-migrating strategy-based self-organizing migrating algorithm with the convergence monitoring mechanism.GECCO Companion2022:7-8
• 
  [c93]
  Yue Ning,Daohong Jian,Hua Wu,Jun Zhou:
  Zeroth-order covariance matrix adaptation evolution strategy for single objective bound constrained numerical optimization competition.GECCO Companion2022:9-10
• 
  [c92]
  Yongfeng Gu,Hao Ding,Kecai Gu,Runsheng Gan,Xiaoguang Huang,Yanming Fang,Zhigang Hua,Hua Wu,Jifeng Xuan,Jun Zhou:
  Heuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment.GECCO Companion2022:715-718
• 
  [c91]
  Ang Li,Jian Hu,Chilin Fu,Xiaolu Zhang,Jun Zhou:
  Attribute-Conditioned Face Swapping Network for Low-Resolution Images.ICASSP2022:2305-2309
• 
  [c90]
  Weifan Wang,Xiaocheng Cheng,Ziqi Liu,Yu Lin,Yue Shen,Binbin Hu,Zhiqiang Zhang,Xiaodong Zeng,Jun Zhou,Jinjie Gu,Minnan Luo:
  Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing.ICDE2022:3254-3267
• 
  [c89]
  Borui Ye,Shuo Yang,Binbin Hu,Zhiqiang Zhang,Youqiang He,Kai Huang,Jun Zhou,Yanming Fang:
  Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce.ICDE2022:3320-3326
• 
  [c88]
  Chaochao Chen,Jun Zhou,Longfei Zheng,Huiwen Wu,Lingjuan Lyu,Jia Wu,Bingzhe Wu,Ziqi Liu,Li Wang,Xiaolin Zheng:
  Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification.IJCAI2022:1959-1965
• 
  [c87]
  Binbin Hu,Zhengwei Wu,Jun Zhou,Ziqi Liu,Zhigang Huangfu,Zhiqiang Zhang,Chaochao Chen:
  MERIT: Learning Multi-level Representations on Temporal Graphs.IJCAI2022:2073-2079
• 
  [c86]
  Yunhao Zhang,Junchi Yan,Xiaolu Zhang,Jun Zhou,Xiaokang Yang:
  Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering.IJCAI2022:3766-3772
• 
  [c85]
  Daixin Wang,Zujian Weng,Zhengwei Wu,Zhiqiang Zhang,Peng Cui,Hongwei Zhao,Jun Zhou:
  A Graph Learning Based Framework for Billion-Scale Offline User Identification.KDD2022:4001-4009
• 
  [c84]
  Caizhi Tang,Huiyuan Wang,Xinyu Li,Qing Cui,Ya-Lin Zhang,Feng Zhu,Longfei Li,Jun Zhou,Linbo Jiang:
  Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding.NeurIPS2022
• 
  [c83]
  Yankun Ren,Longfei Li,Xinxing Yang,Jun Zhou:
  AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification.PAKDD (1)2022:143-155
• 
  [c82]
  Xu Min,Xiaolu Zhang,Jun Zhou,Changxun Fan,Junlin Yu:
  TAMOR: Tier-Aware Multi-objective Recommendation for Ant Fortune Financial Marketing.ECML/PKDD (6)2022:603-606
• 
  [c81]
  Binbin Hu,Bin Shen,Ruize Wu,Zhiqiang Zhang,Yuetian Cao,Yong He,Liang Zhang,Linjian Mo,Jun Zhou:
  Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation.PRICAI (3)2022:3-16
• 
  [c80]
  Yupeng Hou,Binbin Hu,Wayne Xin Zhao,Zhiqiang Zhang,Jun Zhou,Ji-Rong Wen:
  Neural Graph Matching for Pre-training Graph Neural Networks.SDM2022:172-180
• 
  [c79]
  Yanchao Tan,Carl Yang,Xiangyu Wei,Chaochao Chen,Weiming Liu,Longfei Li,Jun Zhou,Xiaolin Zheng:
  MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.SIGIR2022:449-459
• 
  [c78]
  Zhaoxin Huan,Gongduo Zhang,Xiaolu Zhang,Jun Zhou,Qintong Wu,Lihong Gu,Jinjie Gu,Yong He,Yue Zhu,Linjian Mo:
  An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.SIGIR2022:3403-3407
• 
  [c77]
  Yuhao Mao,Chong Fu,Saizhuo Wang,Shouling Ji,Xuhong Zhang,Zhenguang Liu,Jun Zhou,Alex X. Liu,Raheem Beyah,Ting Wang:
  Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings.SP2022:1423-1439
• 
  [c76]
  Chong Fu,Xuhong Zhang,Shouling Ji,Jinyin Chen,Jingzheng Wu,Shanqing Guo,Jun Zhou,Alex X. Liu,Ting Wang:
  Label Inference Attacks Against Vertical Federated Learning.USENIX Security Symposium2022:1397-1414
• 
  [c75]
  Hao Qian,Qintong Wu,Kai Zhang,Zhiqiang Zhang,Lihong Gu,Xiaodong Zeng,Jun Zhou,Jinjie Gu:
  Scope-aware Re-ranking with Gated Attention in Feed.WSDM2022:804-812
• 
  [c74]
  Zhigang Huangfu,Gongduo Zhang,Zhengwei Wu,Qintong Wu,Zhiqiang Zhang,Lihong Gu,Jun Zhou,Jinjie Gu:
  A Multi-Task Learning Approach for Delayed Feedback Modeling.WWW (Companion Volume)2022:116-120
• 
  [c73]
  Hongrui Liu,Binbin Hu,Xiao Wang,Chuan Shi,Zhiqiang Zhang,Jun Zhou:
  Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.WWW2022:1248-1258
• 
  [i65]
  Jihong Wang,Minnan Luo,Jundong Li,Ziqi Liu,Jun Zhou,Qinghua Zheng:
  Robust Unsupervised Graph Representation Learning via Mutual Information Maximization.CoRRabs/2201.08557 (2022)
• 
  [i64]
  Hongrui Liu,Binbin Hu,Xiao Wang,Chuan Shi,Zhiqiang Zhang,Jun Zhou:
  Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift.CoRRabs/2201.11349 (2022)
• 
  [i63]
  Yupeng Hou,Binbin Hu,Wayne Xin Zhao,Zhiqiang Zhang,Jun Zhou,Ji-Rong Wen:
  Neural Graph Matching for Pre-training Graph Neural Networks.CoRRabs/2203.01597 (2022)
• 
  [i62]
  Qian Zhao,Shuo Yang,Binbin Hu,Zhiqiang Zhang,Yakun Wang,Yusong Chen,Jun Zhou,Chuan Shi:
  An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022.CoRRabs/2203.01820 (2022)
• 
  [i61]
  Yuhao Mao,Chong Fu,Saizhuo Wang,Shouling Ji,Xuhong Zhang,Zhenguang Liu,Jun Zhou,Alex X. Liu,Raheem Beyah,Ting Wang:
  Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings.CoRRabs/2204.04063 (2022)
• 
  [i60]
  Binbin Hu,Zhiyang Hu,Zhiqiang Zhang,Jun Zhou,Chuan Shi:
  KGNN: Distributed Framework for Graph Neural Knowledge Representation.CoRRabs/2205.08285 (2022)
• 
  [i59]
  Shih-Han Chan,Yinpeng Dong,Jun Zhu,Xiaolu Zhang,Jun Zhou:
  BadDet: Backdoor Attacks on Object Detection.CoRRabs/2205.14497 (2022)
• 
  [i58]
  Borui Ye,Shuo Yang,Binbin Hu,Zhiqiang Zhang,Youqiang He,Kai Huang,Jun Zhou,Yanming Fang:
  Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce.CoRRabs/2207.13329 (2022)
• 
  [i57]
  Shujie Yang,Binchi Zhang,Shangbin Feng,Zhaoxuan Tan,Qinghua Zheng,Jun Zhou,Minnan Luo:
  AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach.CoRRabs/2208.08200 (2022)
• 
  [i56]
  Xinshun Feng,Herun Wan,Shangbin Feng,Hongrui Wang,Jun Zhou,Qinghua Zheng,Minnan Luo:
  GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search.CoRRabs/2208.09027 (2022)
• 
  [i55]
  Jun Zhou,Feng Qi,Zhigang Hua,Daohong Jian,Ziqi Liu,Hua Wu,Xingwen Zhang,Shuang Yang:
  A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems.CoRRabs/2210.16986 (2022)
• 
  [i54]
  Xinyu Li,Yilin Li,Qing Cui,Longfei Li,Jun Zhou:
  Robust Direct Learning for Causal Data Fusion.CoRRabs/2211.00249 (2022)
• 2021
• 
  [j6]
  Jun Zhou,Longfei Li,Ziqi Liu,Chaochao Chen:
  A Boosting Framework of Factorization Machine.Int. J. Pattern Recognit. Artif. Intell.35(10):2159036:1-2159036:20 (2021)
• 
  [j5]
  Longfei Zheng,Jun Zhou,Chaochao Chen,Bingzhe Wu,Li Wang,Benyu Zhang:
  ASFGNN: Automated separated-federated graph neural network.Peer-to-Peer Netw. Appl.14(3):1692-1704 (2021)
• 
  [c72]
  Qianyu Yu,Shuo Yang,Zhiqiang Zhang,Ya-Lin Zhang,Binbin Hu,Ziqi Liu,Kai Huang,Xingyu Zhong,Jun Zhou,Yanming Fang:
  A Graph Attention Network Model for GMV Forecast on Online Shopping Festival.APWeb/WAIM (1)2021:134-139
• 
  [c71]
  Wenjing Fang,Derun Zhao,Jin Tan,Chaochao Chen,Chaofan Yu,Li Wang,Lei Wang,Jun Zhou,Benyu Zhang:
  Large-scale Secure XGB for Vertical Federated Learning.CIKM2021:443-452
• 
  [c70]
  Ke Tu,Peng Cui,Daixin Wang,Zhiqiang Zhang,Jun Zhou,Yuan Qi,Wenwu Zhu:
  Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation.CIKM2021:1834-1843
• 
  [c69]
  Kun Xiong,Wenwen Ye,Xu Chen,Yongfeng Zhang,Wayne Xin Zhao,Binbin Hu,Zhiqiang Zhang,Jun Zhou:
  Counterfactual Review-based Recommendation.CIKM2021:2231-2240
• 
  [c68]
  Ziqi Liu,Yue Shen,Xiaocheng Cheng,Qiang Li,Jianping Wei,Zhiqiang Zhang,Dong Wang,Xiaodong Zeng,Jinjie Gu,Jun Zhou:
  Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks.CIKM2021:3278-3282
• 
  [c67]
  Tianxin Wang,Fuzhen Zhuang,Zhiqiang Zhang,Daixin Wang,Jun Zhou,Qing He:
  Low-dimensional Alignment for Cross-Domain Recommendation.CIKM2021:3508-3512
• 
  [c66]
  Kai Zhang,Hao Qian,Qi Liu,Zhiqiang Zhang,Jun Zhou,Jianhui Ma,Enhong Chen:
  SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.CIKM2021:3627-3631
• 
  [c65]
  Jun Zhou,Yang Bao,Hua Wu,Zhigang Hua:
  AntOpt: A Multi-functional Large-scale Decision Optimization Platform.CIKM2021:4833-4837
• 
  [c64]
  Zihao Xiao,Xianfeng Gao,Chilin Fu,Yinpeng Dong,Wei Gao,Xiaolu Zhang,Jun Zhou,Jun Zhu:
  Improving Transferability of Adversarial Patches on Face Recognition With Generative Models.CVPR2021:11845-11854
• 
  [c63]
  Meng Li,Ya-Lin Zhang,Qitao Shi,Xinxing Yang,Qing Cui,Longfei Li,Jun Zhou:
  Constraint-Adaptive Rule Mining in Large Databases.DASFAA (3)2021:579-591
• 
  [c62]
  Minghui Yang,Shaosheng Cao,Binbin Hu,Xianling Chen,Hengbin Cui,Zhiqiang Zhang,Jun Zhou,Xiaolong Li:
  IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation.ICDE2021:2559-2570
• 
  [c61]
  Yankun Ren,Longfei Li,Jun Zhou:
  Simtrojan: Stealthy Backdoor Attack.ICIP2021:819-823
• 
  [c60]
  Yulong Wang,Xiaolu Zhang,Jun Zhou,Hang Su:
  Rethinking the Effectiveness of Selective Attention in Neural Networks.ICONIP (3)2021:532-543
• 
  [c59]
  Feng Zhu,Yan Wang,Chaochao Chen,Jun Zhou,Longfei Li,Guanfeng Liu:
  Cross-Domain Recommendation: Challenges, Progress, and Prospects.IJCAI2021:4721-4728
• 
  [c58]
  Ya-Lin Zhang,Qitao Shi,Meng Li,Xinxing Yang,Longfei Li,Jun Zhou:
  A Classification Based Ensemble Pruning Framework with Multi-metric Consideration.IntelliSys (1)2021:650-667
• 
  [c57]
  Chaochao Chen,Jun Zhou,Li Wang,Xibin Wu,Wenjing Fang,Jin Tan,Lei Wang,Alex X. Liu,Hao Wang,Cheng Hong:
  When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control.KDD2021:2652-2662
• 
  [c56]
  Zhibo Zhu,Ziqi Liu,Ge Jin,Zhiqiang Zhang,Lei Chen,Jun Zhou,Jianyong Zhou:
  MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data.NeurIPS2021:12904-12916
• 
  [c55]
  Runzhong Wang,Zhigang Hua,Gan Liu,Jiayi Zhang,Junchi Yan,Feng Qi,Shuang Yang,Jun Zhou,Xiaokang Yang:
  A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs.NeurIPS2021:21453-21466
• 
  [c54]
  Shuo Yang,Binbin Hu,Zhiqiang Zhang,Wang Sun,Yang Wang,Jun Zhou,Hongyu Shan,Yuetian Cao,Borui Ye,Yanming Fang,Quan Yu:
  Inductive Link Prediction with Interactive Structure Learning on Attributed Graph.ECML/PKDD (2)2021:383-398
• 
  [c53]
  Daixin Wang,Zhiqiang Zhang,Jun Zhou,Peng Cui,Jingli Fang,Quanhui Jia,Yanming Fang,Yuan Qi:
  Temporal-Aware Graph Neural Network for Credit Risk Prediction.SDM2021:702-710
• 
  [c52]
  Zhaoxin Huan,Yulong Wang,Yong He,Xiaolu Zhang,Chilin Fu,Weichang Wu,Jun Zhou,Ke Ding,Liang Zhang,Linjian Mo:
  Learning to Select Instance: Simultaneous Transfer Learning and Clustering.SIGIR2021:1950-1954
• 
  [c51]
  Kai Zhang,Hao Qian,Qing Cui,Qi Liu,Longfei Li,Jun Zhou,Jianhui Ma,Enhong Chen:
  Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.WSDM2021:984-992
• 
  [i53]
  Feng Zhu,Yan Wang,Chaochao Chen,Jun Zhou,Longfei Li,Guanfeng Liu:
  Cross-Domain Recommendation: Challenges, Progress, and Prospects.CoRRabs/2103.01696 (2021)
• 
  [i52]
  Runzhong Wang,Zhigang Hua,Gan Liu,Jiayi Zhang,Junchi Yan,Feng Qi,Shuang Yang,Jun Zhou,Xiaokang Yang:
  A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs.CoRRabs/2106.04927 (2021)
• 
  [i51]
  Zihao Xiao,Xianfeng Gao,Chilin Fu,Yinpeng Dong,Wei Gao,Xiaolu Zhang,Jun Zhou,Jun Zhu:
  Improving Transferability of Adversarial Patches on Face Recognition with Generative Models.CoRRabs/2106.15058 (2021)
• 
  [i50]
  Feng Zhu,Yan Wang,Jun Zhou,Chaochao Chen,Longfei Li,Guanfeng Liu:
  A Unified Framework for Cross-Domain and Cross-System Recommendations.CoRRabs/2108.07976 (2021)
• 
  [i49]
  Kai Zhang,Hao Qian,Qi Liu,Zhiqiang Zhang,Jun Zhou,Jianhui Ma,Enhong Chen:
  SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.CoRRabs/2108.08022 (2021)
• 
  [i48]
  Binchi Zhang,Minnan Luo,Shangbin Feng,Ziqi Liu,Jun Zhou,Qinghua Zheng:
  PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method.CoRRabs/2110.12906 (2021)
• 
  [i47]
  Zhibo Zhu,Ziqi Liu,Ge Jin,Zhiqiang Zhang,Lei Chen,Jun Zhou,Jianyong Zhou:
  MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data.CoRRabs/2110.14354 (2021)
• 
  [i46]
  Ke Tu,Peng Cui,Daixin Wang,Zhiqiang Zhang,Jun Zhou,Yuan Qi,Wenwu Zhu:
  Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation.CoRRabs/2111.02100 (2021)
• 
  [i45]
  Boxin Zhao,Ziqi Liu,Chaochao Chen,Mladen Kolar,Zhiqiang Zhang,Jun Zhou:
  Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback.CoRRabs/2112.14332 (2021)
• 2020
• 
  [j4]
  Dalong Zhang,Xin Huang,Ziqi Liu,Jun Zhou,Zhiyang Hu,Xianzheng Song,Zhibang Ge,Lin Wang,Zhiqiang Zhang,Yuan Qi:
  AGL: A Scalable System for Industrial-purpose Graph Machine Learning.Proc. VLDB Endow.13(12):3125-3137 (2020)
• 
  [j3]
  Chaochao Chen,Jun Zhou,Bingzhe Wu,Wenjing Fang,Li Wang,Yuan Qi,Xiaolin Zheng:
  Practical Privacy Preserving POI Recommendation.ACM Trans. Intell. Syst. Technol.11(5):52:1-52:20 (2020)
• 
  [c50]
  Bingzhe Wu,Chaochao Chen,Shiwan Zhao,Cen Chen,Yuan Yao,Guangyu Sun,Li Wang,Xiaolu Zhang,Jun Zhou:
  Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics.AAAI2020:6372-6379
• 
  [c49]
  Yulong Wang,Xiaolu Zhang,Lingxi Xie,Jun Zhou,Hang Su,Bo Zhang,Xiaolin Hu:
  Pruning from Scratch.AAAI2020:12273-12280
• 
  [c48]
  Binbin Hu,Zhiqiang Zhang,Jun Zhou,Jingli Fang,Quanhui Jia,Yanming Fang,Quan Yu,Yuan Qi:
  Loan Default Analysis with Multiplex Graph Learning.CIKM2020:2525-2532
• 
  [c47]
  Kuan Xu,Chilin Fu,Xiaolu Zhang,Cen Chen,Ya-Lin Zhang,Wenge Rong,Zujie Wen,Jun Zhou,Xiaolong Li,Yu Qiao:
  aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots.CIKM2020:2853-2860
• 
  [c46]
  Cen Chen,Bingzhe Wu,Li Wang,Chaochao Chen,Jin Tan,Lei Wang,Jun Zhou,Benyu Zhang:
  Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial.CIKM2020:3369-3372
• 
  [c45]
  Zhiqiang Zhang,Jun Zhou,Chuan Shi:
  EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning.CIKM2020:3485-3488
• 
  [c44]
  Chaochao Chen,Liang Li,Bingzhe Wu,Cheng Hong,Li Wang,Jun Zhou:
  Secure Social Recommendation Based on Secret Sharing.ECAI2020:506-512
• 
  [c43]
  Yankun Ren,Jianbin Lin,Siliang Tang,Jun Zhou,Shuang Yang,Yuan Qi,Xiang Ren:
  Generating Natural Language Adversarial Examples on a Large Scale with Generative Models.ECAI2020:2156-2163
• 
  [c42]
  Qitao Shi,Ya-Lin Zhang,Longfei Li,Xinxing Yang,Meng Li,Jun Zhou:
  SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks.ICDE2020:1645-1656
• 
  [c41]
  Shuo Yang,Zhiqiang Zhang,Jun Zhou,Yang Wang,Wang Sun,Xingyu Zhong,Yanming Fang,Quan Yu,Yuan Qi:
  Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining.IJCAI2020:4661-4667
• 
  [c40]
  Chenyi Zhuang,Ziqi Liu,Zhiqiang Zhang,Yize Tan,Zhengwei Wu,Zhining Liu,Jianping Wei,Jinjie Gu,Guannan Zhang,Jun Zhou,Yuan Qi:
  Hubble: An Industrial System for Audience Expansion in Mobile Marketing.KDD2020:2455-2463
• 
  [c39]
  Ziqi Liu,Zhengwei Wu,Zhiqiang Zhang,Jun Zhou,Shuang Yang,Le Song,Yuan Qi:
  Bandit Samplers for Training Graph Neural Networks.NeurIPS2020
• 
  [c38]
  Zhaoxin Huan,Yulong Wang,Xiaolu Zhang,Lin Shang,Chilin Fu,Jun Zhou:
  Data-Free Adversarial Perturbations for Practical Black-Box Attack.PAKDD (2)2020:127-138
• 
  [c37]
  Qing Cui,Qitao Shi,Hao Qian,Caizhi Tang,Xixi Li,Yiming Zhao,Tao Jiang,Longfei Li,Jun Zhou:
  AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models.ECML/PKDD (5)2020:541-545
• 
  [c36]
  Cen Chen,Ya-Lin Zhang,Minghui Qiu,Bingzhe Wu,Li Wang,Longfei Li,Jun Zhou:
  Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching.WWW (Companion Volume)2020:73-74
• 
  [c35]
  Yankun Ren,Jianbin Lin,Jun Zhou:
  Neural Zero-Shot Fine-Grained Entity Typing.WWW (Companion Volume)2020:846-847
• 
  [i44]
  Chaochao Chen,Liang Li,Bingzhe Wu,Cheng Hong,Li Wang,Jun Zhou:
  Secure Social Recommendation based on Secret Sharing.CoRRabs/2002.02088 (2020)
• 
  [i43]
  Yingting Liu,Chaochao Chen,Longfei Zheng,Li Wang,Jun Zhou,Guiquan Liu:
  Privacy Preserving PCA for Multiparty Modeling.CoRRabs/2002.02091 (2020)
• 
  [i42]
  Chaochao Chen,Ziqi Liu,Jun Zhou,Xiaolong Li,Yuan Qi,Yujing Jiao,Xingyu Zhong:
  How Much Can A Retailer Sell? Sales Forecasting on Tmall.CoRRabs/2002.11940 (2020)
• 
  [i41]
  Wenjing Fang,Chaochao Chen,Bowen Song,Li Wang,Jun Zhou,Kenny Q. Zhu:
  Adapted tree boosting for Transfer Learning.CoRRabs/2002.11982 (2020)
• 
  [i40]
  Dalong Zhang,Xianzheng Song,Ziqi Liu,Zhiqiang Zhang,Xin Huang,Lin Wang,Jun Zhou:
  DSSLP: A Distributed Framework for Semi-supervised Link Prediction.CoRRabs/2002.12056 (2020)
• 
  [i39]
  Ziqi Liu,Chaochao Chen,Xinxing Yang,Jun Zhou,Xiaolong Li,Le Song:
  Heterogeneous Graph Neural Networks for Malicious Account Detection.CoRRabs/2002.12307 (2020)
• 
  [i38]
  Chen Liang,Ziqi Liu,Bin Liu,Jun Zhou,Xiaolong Li,Shuang Yang,Yuan Qi:
  Uncovering Insurance Fraud Conspiracy with Network Learning.CoRRabs/2002.12789 (2020)
• 
  [i37]
  Daixin Wang,Jianbin Lin,Peng Cui,Quanhui Jia,Zhen Wang,Yanming Fang,Quan Yu,Jun Zhou,Shuang Yang,Yuan Qi:
  A Semi-supervised Graph Attentive Network for Financial Fraud Detection.CoRRabs/2003.01171 (2020)
• 
  [i36]
  Zhaoxin Huan,Yulong Wang,Xiaolu Zhang,Lin Shang,Chilin Fu,Jun Zhou:
  Data-Free Adversarial Perturbations for Practical Black-Box Attack.CoRRabs/2003.01295 (2020)
• 
  [i35]
  Ziqi Liu,Dong Wang,Qianyu Yu,Zhiqiang Zhang,Yue Shen,Jian Ma,Wenliang Zhong,Jinjie Gu,Jun Zhou,Shuang Yang,Yuan Qi:
  Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing.CoRRabs/2003.01515 (2020)
• 
  [i34]
  Dalong Zhang,Xin Huang,Ziqi Liu,Zhiyang Hu,Xianzheng Song,Zhibang Ge,Zhiqiang Zhang,Lin Wang,Jun Zhou,Shuang Yang,Yuan Qi:
  AGL: a Scalable System for Industrial-purpose Graph Machine Learning.CoRRabs/2003.02454 (2020)
• 
  [i33]
  Qitao Shi,Ya-Lin Zhang,Longfei Li,Xinxing Yang,Meng Li,Jun Zhou:
  SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks.CoRRabs/2003.02556 (2020)
• 
  [i32]
  Cen Chen,Chen Liang,Jianbin Lin,Li Wang,Ziqi Liu,Xinxing Yang,Xiukun Wang,Jun Zhou,Shuang Yang,Yuan Qi:
  InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance.CoRRabs/2003.02833 (2020)
• 
  [i31]
  Chaochao Chen,Bingzhe Wu,Wenjin Fang,Jun Zhou,Li Wang,Yuan Qi,Xiaolin Zheng:
  Practical Privacy Preserving POI Recommendation.CoRRabs/2003.02834 (2020)
• 
  [i30]
  Longfei Zheng,Chaochao Chen,Yingting Liu,Bingzhe Wu,Xibin Wu,Li Wang,Lei Wang,Jun Zhou,Shuang Yang:
  Industrial Scale Privacy Preserving Deep Neural Network.CoRRabs/2003.05198 (2020)
• 
  [i29]
  Chaochao Chen,Ziqi Liu,Peilin Zhao,Jun Zhou,Xiaolong Li:
  Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization.CoRRabs/2003.05610 (2020)
• 
  [i28]
  Jianbin Lin,Daixin Wang,Lu Guan,Yin Zhao,Binqiang Zhao,Jun Zhou,Xiaolong Li,Yuan Qi:
  RNE: A Scalable Network Embedding for Billion-scale Recommendation.CoRRabs/2003.07158 (2020)
• 
  [i27]
  Yankun Ren,Jianbin Lin,Siliang Tang,Jun Zhou,Shuang Yang,Yuan Qi,Xiang Ren:
  Generating Natural Language Adversarial Examples on a Large Scale with Generative Models.CoRRabs/2003.10388 (2020)
• 
  [i26]
  Jianbin Lin,Zhiqiang Zhang,Jun Zhou,Xiaolong Li,Jingli Fang,Yanming Fang,Quan Yu,Yuan Qi:
  NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay.CoRRabs/2004.00201 (2020)
• 
  [i25]
  Wenjing Fang,Jun Zhou,Xiaolong Li,Kenny Q. Zhu:
  Unpack Local Model Interpretation for GBDT.CoRRabs/2004.01358 (2020)
• 
  [i24]
  Chaochao Chen,Liang Li,Wenjing Fang,Jun Zhou,Li Wang,Lei Wang,Shuang Yang,Alex Liu,Hao Wang:
  Secret Sharing based Secure Regressions with Applications.CoRRabs/2004.04898 (2020)
• 
  [i23]
  Wenjing Fang,Chaochao Chen,Jin Tan,Chaofan Yu,Yufei Lu,Li Wang,Lei Wang,Jun Zhou,Alex X:
  A Hybrid-Domain Framework for Secure Gradient Tree Boosting.CoRRabs/2005.08479 (2020)
• 
  [i22]
  Jun Zhou,Chaochao Chen,Longfei Zheng,Xiaolin Zheng,Bingzhe Wu,Ziqi Liu,Li Wang:
  Privacy-Preserving Graph Neural Network for Node Classification.CoRRabs/2005.11903 (2020)
• 
  [i21]
  Ziqi Liu,Zhengwei Wu,Zhiqiang Zhang,Jun Zhou,Shuang Yang,Le Song,Yuan Qi:
  Bandit Samplers for Training Graph Neural Networks.CoRRabs/2006.05806 (2020)
• 
  [i20]
  Chaochao Chen,Jun Zhou,Li Wang,Xibin Wu,Wenjing Fang,Jin Tan,Lei Wang,Xiaoxi Ji,Alex Liu,Hao Wang,Cheng Hong:
  When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control.CoRRabs/2008.08753 (2020)
• 
  [i19]
  Jinghan Shi,Houye Ji,Chuan Shi,Xiao Wang,Zhiqiang Zhang,Jun Zhou:
  Heterogeneous Graph Neural Network for Recommendation.CoRRabs/2009.00799 (2020)
• 
  [i18]
  Lu Yu,Shichao Pei,Chuxu Zhang,Lizhong Ding,Jun Zhou,Longfei Li,Xiangliang Zhang:
  Self-supervised Smoothing Graph Neural Networks.CoRRabs/2009.00934 (2020)
• 
  [i17]
  Cen Chen,Bingzhe Wu,Minghui Qiu,Li Wang,Jun Zhou:
  A Comprehensive Analysis of Information Leakage in Deep Transfer Learning.CoRRabs/2009.01989 (2020)
• 
  [i16]
  Longfei Zheng,Jun Zhou,Chaochao Chen,Bingzhe Wu,Li Wang,Benyu Zhang:
  ASFGNN: Automated Separated-Federated Graph Neural Network.CoRRabs/2011.03248 (2020)
• 
  [i15]
  Kai Zhang,Hao Qian,Qing Cui,Qi Liu,Longfei Li,Jun Zhou,Jianhui Ma,Enhong Chen:
  Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.CoRRabs/2012.06968 (2020)
• 
  [i14]
  Chaochao Chen,Jun Zhou,Longfei Zheng,Yan Wang,Xiaolin Zheng,Bingzhe Wu,Cen Chen,Li Wang,Jianwei Yin:
  Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design.CoRRabs/2012.09364 (2020)