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Jun Wang 0006

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Person information

affiliation: East China Normal University, Shanghai, China
affiliation (former): Alibaba Research, China
affiliation (2010 - 2014): IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA
affiliation (PhD 2011): Columbia University, New York

Other persons with the same name

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Jun Wang — disambiguation page
Jun Wang 0001 — University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA (and 2 more)
Jun Wang 0002 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 3 more)
Jun Wang 0003 — Tsinghua University, Department of Electronic Engineering, Beijing, China
Jun Wang 0004 — Beijing Genomics Institute, Shenzhen, China (and 2 more)
Jun Wang 0005 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology, Chengdu, China (and 1 more)
Jun Wang 0007 — UCLA, CORES Lab, Los Angeles, CA, USA
Jun Wang 0008 — The University of British Columbia, Vancouver, BC, Canada
Jun Wang 0009 — Osaka University, Japan
Jun Wang 0010 — Sichuan University, College of Electronics And Information Engineering, Chengdu, China (and 1 more)

Jun Wang 0011 — Microsoft (and 1 more)
Jun Wang 0012 — University College London, Department of Computer Science, UCL Centre for Artificial Intelligence, London, UK (and 1 more)
Jun Wang 0013 — Xihua University, School of Computer and Software Engineering, Chengdu, China (and 1 more)
Jun Wang 0014 — Huazhong University of Science and Technology, China (and 1 more)
Jun Wang 0015 — Zhuhai Jieli Technology Co., Ltd, Zhuhai, China (and 3 more)
Jun Wang 0016 — Old Dominion University, Norfolk, USA
Jun Wang 0017 — University of Geneva, Switzerland
Jun Wang 0018 — iWudao Tech, San Jose, CA, USA (and 2 more)
Jun Wang 0019 — Beihang University, School of Computer Science and Engineering, Beijing, China
Jun Wang 0020 — Université du Luxembourg, Luxembourg
Jun Wang 0021 — University of New South Wales, Kensington, NSW, Australia
Jun Wang 0022 — University of Iowa, Center for Global and Regional Environmental Studies, Iowa City, IA, USA (and 3 more)
Jun Wang 0023 — Nankai University, Institute of Big Data, Tianjin, China (and 1 more)
Jun Wang 0024 — Shanghai University, School of Communication and Information Engineering, Shanghai , China (and 3 more)
Jun Wang 0025 — Tongji University, Department of Control Science and Engineering, Shanghai, China
Jun Wang 0026 — University of Nebraska-Lincoln, Power and Energy Systems Laboratory, NE, USA (and 1 more)
Jun Wang 0027 — South-Central University for Nationalities, College of Computer Science, Wuhan, China (and 1 more)
Jun Wang 0028 — US Environmental Protection Agency (EPA, Research Triangle Park, NC, USA (and 1 more)
Jun Wang 0029 — Jiangnan University, Department of Packaging Engineering, Wuxi, China (and 1 more)
Jun Wang 0030 — Duke University, Department of Chemistry, Durham, NC, USA (and 2 more)
Jun Wang 0031 — Nanjing University of Posts and Telecommunications, School of Geographic and Biologic Information, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing, China (and 1 more)
Jun Wang 0032 — Queen Mary University of London, Computer Science Department, UK
Jun Wang 0033 — University of Bedfordshire, UK
Jun Wang 0034 — Xidian University, Institute of Electronic CAD, Xi'an, China
Jun Wang 0035 — Shandong University, SDU-NTU Joint Centre For AI Research, C-FAIR, Jinan, China (and 2 more)
Jun Wang 0036 — Shanghai University of Engineering Science, College of Electronic and Electrical Engineering, China
Jun Wang 0037 — University of Texas at Dallas, Department of Bioengineering, Richardson, TX, USA (and 1 more)
Jun Wang 0038 — Zhejiang University, Department of Biosystems Engineering, China
Jun Wang 0039 — Nanjing University of Aeronautics and Astronautics, College of Mechanical and Electrical Engineering, China (and 4 more)
Jun Wang 0040 — University of California, San Diego, Department of Bioengineering, CA, USA
Jun Wang 0041 — Beihang University, Electronic Information Engineering, Beijing, China (and 1 more)
Jun Wang 0042 — Peking University, School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Beijing, China
Jun Wang 0043 — China Three Gorges University, Yichang, China (and 2 more)
Jun Wang 0044 — Harbin Institute of Technology at Weihai, School of Information and Electrical Engineering, China
Jun Wang 0045 — Northwestern Polytechnical University, School of Materials Science, Xi'an, China (and 1 more)
Jun Wang 0046 — University of Electronic Science and Technology of China, School of Mechanical and Electrical Engineering, Chengdu, China
Jun Wang 0047 — Nanjing University, Collaborative Innovation Center of Advanced Microstructures, School of Physics, National Laboratory of Solid State Microstructures, China
Jun Wang 0048 — Fuzhou University, School of Electrical Engineering and Automation, China (and 1 more)
Jun Wang 0049 — Beihang University, School of Aviation Science and Engineering, Beijing, China
Jun Wang 0050 — Beijing Jiaotong University, School of Economics and Management, China
Jun Wang 0051 — Jiangnan University, School of Mechanical Engineering, Wuxi, China
Jun Wang 0052 — Queen Mary University of London, Barts Cancer Institute, London, UK (and 1 more)
Jun Wang 0053 — Linköping University, Division of Theoretical Chemistry, Sweden (and 3 more)
Jun Wang 0054 — Hunan University, College of Electrical and Information Engineering, Changsha, China
Jun Wang 0055 — Western Sydney University, Australia (and 1 more)
Jun Wang 0056 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
Jun Wang 0057 — Tianjin University of Science and Technology, College of Mechanical Engineering, China (and 1 more)
Jun Wang 0058 — Taiyuan University of Technology, Key Laboratory of Advanced Transducers and Intelligent Control System, China
Jun Wang 0059 — Beihang University, Department of Information Systems, School of Economics and Management, Beijing, China (and 1 more)
Jun Wang 0060 — Peking University, College of Life Sciences, Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, Beijing, China
Jun Wang 0061 — Shandong Normal University, School of Information Science and Engineering, Jinan, China
Jun Wang 0062 — Huawei Technologies, Hangzhou Research Center, China
Jun Wang 0063 — Air force Early-warning Institute, Wuhan, China (and 2 more)
Jun Wang 0064 — Henan University of Science and Technology, College of Agriculture Equipment Engineering, Luoyang, China
Jun Wang 0065 (aka: Jun-Askuyue Wang) — Harbin Institute of Technology, Department of Mathematics, China
Jun Wang 0066 — Beijing Foreign Studies University, International Business School, Beijing, China (and 1 more)
Jun Wang 0067 — University of Fukui, Graduate School of Engineering, Department of Human and Artificial Intelligent Systems, Japan
Jun Wang 0068 — Tianjin University of Finance and Economics, School of Management Science and Engineering, China
Jun Wang 0069 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
Jun Wang 0070 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
Jun Wang 0071 — China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
Jun Wang 0072 — Zhejiang University, Institute of Translational Medicine, Hangzhou, China
Jun Wang 0073 — Tsinghua University, Department of Computer Science and Technology, Beijing , China
Jun Wang 0074 — University of Kiel, Institute for Experimental Medicine, Germany (and 2 more)
Jun Wang 0075 — Beijing Jiaotong University, School of Science, Department of Mathematics, China (and 1 more)
Jun Wang 0076 — Central South University, School of Traffic and Transportation Engineering, Changsha, China
Jun Wang 0077 — Huawei US R&D, Santa Clara, CA, USA (and 2 more)
Jun Wang 0078 — Northwest University, School of Information Science and Technology, Xi'an, China (and 1 more)
Jun Wang 0079 — Lanzhou University of Technology, College of Electrical and Information Engineering / Key Laboratory of Gansu Advanced Control for Industrial Processes, China
Jun Wang 0080 — Southern Medical University, Shenzhen Hospital, China (and 1 more)
Jun Wang 0081 — Tianjin University, College of Intelligence and Computing, China
Jun Wang 0082 — Flatiron Institute, Simons Foundation, New York, NY, USA
Jun Wang 0083 — Xi'an Jiaotong University, Faculty of Electrical and Information Engineering, School of Automation Science and Engineering, Department of Automation, China
Jun Wang 0084 — Toll Collection Center for Shaanxi Freeway, Xi'an, China
Jun Wang 0085 — China University of Petroleum (East China), College of Control Science and Engineering, Qingdao, China (and 1 more)
Jun Wang 0086 — Southeast University, School of Information Science and Engineering, State Key Laboratory of Millimeter-Waves, Nanjing, China
Jun Wang 0087 — Beijing University of Chemical Technology, School of Economics and Management, China
Blowman J. Wang (aka: Jun Wang 0088) — Southern University of Science and Technology, Shenzhen, China
Jun Wang 0089 — Southwestern University of Finance and Economics, Chengdu, China
Jun Wang 0090 — Salesforce AI Research, Palo Alto, CA, USA (and 1 more)
Jun Wang 0091 — Tencent AI Lab, Shenzhen, China
Jun Wang 0092 — University of Texas Southwestern, Department of Psychiatry, Dallas, TX, USA
Jun Wang 0093 — Jiangsu University, Faculty of Science, Zhenjiang, China (and 1 more)
Jun Wang 0094 — Nanjing University, International Institute for Earth System Science, China
Jun Wang 0095 — China Medical University, First Affiliated Hospital, Department of Surgical Oncology and General Surgery, Shenyang, China
Jun Wang 0096 — Ministry of Agriculture, Key Laboratory of Freshwater Aquatic Genetic Resources, Shanghai, China (and 2 more)
Jun Wang 0097 — Nanjing Medical University, First Affiliated Hospital, Department of Thoracic Surgery, China
Jun Wang 0098 — Mississippi State University, Department of Civil and Environmental Engineering, Starkville, MS, USA (and 1 more)
Jun Wang 0099 — Shandong Normal University, School of Psychology, Jinan, China
Jun Wang 0100 — Peking University, Department of Information Management, Beijing, China
Jun Wang 0101 — Yunnan Normal University, MoE Key Laboratory of Education Informatization for Nationalities / Yunnan Key Laboratory of Smart Education, Kunming, China
Jun Wang 0102 — Nanjing University of Information Science and Technology, School of Computer and Software, China
Jun Wang 0103 — Xi'an Aerospace Propulsion Institute, Science and Technology on Liquid Rocket Engine Laboratory, China (and 1 more)
Jun Wang 0104 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
Jun Wang 0105 — Tsinghua University, Department of Precision Instrument, Beijing, China (and 1 more)
Jun Wang 0106 — University of Bristol, Department of Electrical and Electronic Engineering, UK
Jun Wang 0107 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications / Center for Intelligent Networking and Communications, Chengdu, China
Jun Wang 0108 — China Institute of Water Resources and Hydropower Research, Institute of Water Resources for Pastoral Area, Huhhot, China
Jun Wang 0109 — Xidian University, School of Cyber Engineering, Xi'an, China
Jun Wang 0110 — Dalian Maritime University, School of Information Science and Technology, China
Jun Wang 0111 — Shandong University of Science and Technology, College of Geometrics, Qingdao, China
Jun Wang 0112 — Harbin University of Science and Technology, Department of Communication Engineering, China
Jun Wang 0113 — National University Corporation Shizuoka University, Graduate School of Science and Technology, Integrated Bioscience Section, Japan
Jun Wang 0114 — Hebei University, College of Electronic Information Engineering, Baoding, China (and 1 more)
Jun Wang 0115 — Qilu University of Technology, School of Mechanical and Automotive Engineering, Jinan, China
Jun Wang 0116 — University of Electronic Science and Technology of China, Zhongshan Institute, China (and 1 more)
Jun Wang 0117 — National University of Defense Technology, College of Meteorology and Oceanography, Changsha, China (and 1 more)
Jun Wang 0118 — China University of Geosciences, School of Computer Science, Wuhan, China
Jun Wang 0119 — Beijing Jiaotong University, School of Electronic and Information Engineering, China
Jun Wang 0120 — University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
Jun Wang 0121 — University of Warwick, Department of Computer Science, Coventry, UK (and 3 more)
Jun Wang 0122 — Amazon AWS AI Labs
Jun Wang 0123 — Ping An Technology Co. Ltd., PingAn Healthcare Technology, AI Platform Group, Beijing, China (and 2 more)
Jun Wang 0124 — China University of Geosciences, School of Geophysics and Information Technology, Beijing, China
Jun Wang 0125 — Virginia Tech, Computer Science Department, Blacksburg, VA, USA
Jun Wang 0126 — University of Melbourne, Australia
Jun Wang 0127 — JD AI Research, Beijing, China
Jun Wang 0128 — Southwest Minzu University, College of Electrical and Information Engineering, Key Laboratory of Electronic Information of State Ethnic Affairs Commission, Chengdu, China
Jun Wang 0129 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
Jun Wang 0130 — University of Science and Technology of China, School of Computer Science and Technology, Key Lab of Computing and Communication Software of Anhui Province, Hefei, China
Jun Wang 0131 — Nanchang Institute of Technology, School of Information Engineering, Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang, China (and 1 more)
Jun Wang 0132 — Shanghai Normal University, Department of Mathematics, Shanghai, China
Jun Wang 0133 — University of Siena, Department of Information Engineering and Mathematics, Siena, Italy
Jun Wang 0134 — Zhejiang Lab, Research Center for Intelligent Computing Platforms, Hangzhou, China
Jun Wang 0135 — Washington University in St. Louis, Department of Electrical and Systems Engineering, St. Louis, MO, USA (and 1 more)
Jun Wang 0136 — Hong Kong Polytechnic University, Department of Computing, Hong Kong
Jun Wang 0137 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Brain-inspired Application Technology Center, Shanghai, China
Jun Wang 0138 — Southeast University, School of Information Science and Engineering, National Mobile Communications Research Laboratory, Nanjing, China (and 1 more)
Jun Wang 0139 — Indiana University, Pervasive Technology Institute, Bloomington, IN, USA
Jun Wang 0140 — Xi'an University of Posts and Telecommunications, School of Telecommunication and Information Engineering, Xi'an, China
Jun Wang 0141 — Palo Alto Networks, Inc., USA (and 1 more)
Jun Wang 0142 — Independent Researcher, Syracuse, NY, USA (and 2 more)
Jun Wang 0143 — China Earthquake Administration, The Second Monitoring and Application Center, Xi'an, China (and 1 more)
Jun Wang 0144 — Jilin University, Institute of Atomic and Molecular Physics, Changchun, China (and 1 more)
Jun Wang 0145 — Quzhou University, School of Mechanical Engineering, Quzhou, China (and 3 more)
Jun Wang 0146 — University of Nebraska-Lincoln, Department of Electrical and Computer Engineering, Lincoln, NE, USA (and 1 more)
Jun Wang 0147 — Wuhan University of Science and Technology, College of Life and Health Sciences, Institute of Biology and Medicine, Wuhan, China
Jun Wang 0148 — Shenyang University of Chemical Technology, College of Computer Science and Technology, Shenyang, China
Jun Wang 0150 — Xidian University, National Laboratory of Radar Signal Processing and the Collaborative Innovation Center of Information Sensing and Understanding, Xi'an, China (and 1 more)

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2020 – today

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2024
[j29]
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Cong Xu, Jun Wang, Wei Zhang:
StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 36(6): 2659-2670 (2024)
[j28]
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Siyu Wu, Jun Wang, Wei Zhang:
Contrastive Personalized Exercise Recommendation With Reinforcement Learning. IEEE Trans. Learn. Technol. 17: 691-703 (2024)
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Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang:
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. ACL (1) 2024: 14798-14814
[c66]
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Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang:
DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers. ICASSP 2024: 5160-5164
[c65]
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Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang:
Dynamic Token-Pass Transformers for Semantic Segmentation. WACV 2024: 1816-1825
[i30]
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  - journals/corr/abs-2402-06216
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Cong Xu, Zhangchi Zhu, Jun Wang, Jianyong Wang, Wei Zhang:
Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation. CoRR abs/2402.06216 (2024)
[i29]
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  - journals/corr/abs-2403-00832
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Yang Cao, Shuo Shang, Jun Wang, Wei Zhang:
Explainable Session-based Recommendation via Path Reasoning. CoRR abs/2403.00832 (2024)
[i28]
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  - journals/corr/abs-2404-12037
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Renrong Shao, Wei Zhang, Jianhua Yin, Jun Wang:
Data-free Knowledge Distillation for Fine-grained Visual Categorization. CoRR abs/2404.12037 (2024)
[i27]
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  - journals/corr/abs-2406-08828
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Zhiyuan Wang, Wei Zhang, Jun Wang:
Estimating Difficulty Levels of Programming Problems with Pre-trained Model. CoRR abs/2406.08828 (2024)
[i26]
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  - journals/corr/abs-2406-17262
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Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang:
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. CoRR abs/2406.17262 (2024)
[i25]
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  - journals/corr/abs-2407-14568
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Tingkai Zhang, Chaoyu Chen, Cong Liao, Jun Wang, Xudong Zhao, Hang Yu, Jianchao Wang, Jianguo Li, Wenhui Shi:
SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy. CoRR abs/2407.14568 (2024)
[i24]
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  - journals/corr/abs-2408-14238
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Cong Xu, Zhangchi Zhu, Mo Yu, Jun Wang, Jianyong Wang, Wei Zhang:
Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders. CoRR abs/2408.14238 (2024)
2023
[j27]
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Renrong Shao, Wei Zhang, Jun Wang:
Conditional pseudo-supervised contrast for data-Free knowledge distillation. Pattern Recognit. 143: 109781 (2023)
[j26]
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Tingan Zhu, Wei Zhang, Jun Wang, Yuanpeng Chen, Shuhao Xin, Jinxin Zhu:
Investigating Spatial Variations of Compound Heat-Precipitation Events in Guangdong, China through a Convection-Permitting Model. Remote. Sens. 15(19): 4745 (2023)
[c64]
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Yuang Liu, Wei Zhang, Jun Wang:
Self-Decoupling and Ensemble Distillation for Efficient Segmentation. AAAI 2023: 1772-1780
[c63]
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Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang, Hongyuan Zha:
Learning Structured Communication for Multi-Agent Reinforcement Learning. AAMAS 2023: 436-438
[c62]
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Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji:
DistilPose: Tokenized Pose Regression with Heatmap Distillation. CVPR 2023: 2163-2172
[c61]
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Renrong Shao, Wei Zhang, Jianhua Yin, Jun Wang:
Data-free Knowledge Distillation for Fine-grained Visual Categorization. ICCV 2023: 1515-1525
[c60]
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Lingfeng Shi, Yuang Liu, Jun Wang, Wei Zhang:
Quantize Sequential Recommenders Without Private Data. WWW 2023: 1043-1052
[c59]
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Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. WWW 2023: 2927-2936
[i23]
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Suhang Ye, Yingyi Zhang, Jie Hu, Liujuan Cao, Shengchuan Zhang, Lei Shen, Jun Wang, Shouhong Ding, Rongrong Ji:
DistilPose: Tokenized Pose Regression with Heatmap Distillation. CoRR abs/2303.02455 (2023)
[i22]
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  - journals/corr/abs-2306-05353
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Junjie Sheng, Wenhao Li, Bo Jin, Hongyuan Zha, Jun Wang, Xiangfeng Wang:
Negotiated Reasoning: On Provably Addressing Relative Over-Generalization. CoRR abs/2306.05353 (2023)
[i21]
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  - journals/corr/abs-2308-01944
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Yuang Liu, Qiang Zhou, Jing Wang, Fan Wang, Jun Wang, Wei Zhang:
Dynamic Token-Pass Transformers for Semantic Segmentation. CoRR abs/2308.01944 (2023)
[i20]
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Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang:
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution. CoRR abs/2310.03032 (2023)
[i19]
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  - journals/corr/abs-2312-11938
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Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang:
DMT: Comprehensive Distillation with Multiple Self-supervised Teachers. CoRR abs/2312.11938 (2023)
2022
[j25]
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Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha:
Learning structured communication for multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36(2): 50 (2022)
[j24]
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Yaokang Zhu, Jun Wang, Jie Zhang, Kai Zhang:
Node Embedding and Classification with Adaptive Structural Fingerprint. Neurocomputing 502: 196-208 (2022)
[j23]
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Junjie Sheng, Yiqiu Hu, Wenli Zhou, Lei Zhu, Bo Jin, Jun Wang, Xiangfeng Wang:
Learning to schedule multi-NUMA virtual machines via reinforcement learning. Pattern Recognit. 121: 108254 (2022)
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Yuang Liu, Wei Zhang, Jun Wang:
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation. AAAI 2022: 1837-1845
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Yaokang Zhu, Kai Zhang, Jun Wang, Haibin Ling, Jie Zhang, Hongyuan Zha:
Structural Landmarking and Interaction Modelling: A "SLIM" Network for Graph Classification. AAAI 2022: 9251-9259
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Xuxiang Jiang, Yinhao Xiao, Jun Wang, Wei Zhang:
Multi-view Pre-trained Model for Code Vulnerability Identification. WASA (3) 2022: 127-135
[i18]
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  - journals/corr/abs-2202-04520
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Moyi Yang, Junjie Sheng, Xiangfeng Wang, Wenyan Liu, Bo Jin, Jun Wang, Hongyuan Zha:
Obtaining Dyadic Fairness by Optimal Transport. CoRR abs/2202.04520 (2022)
[i17]
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  - journals/corr/abs-2208-05227
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Xuxiang Jiang, Yinhao Xiao, Jun Wang, Wei Zhang:
Multi-View Pre-Trained Model for Code Vulnerability Identification. CoRR abs/2208.05227 (2022)
[i16]
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  - journals/corr/abs-2211-11759
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Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. CoRR abs/2211.11759 (2022)
2021
[j22]
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Fangyan Ye, Yingbin Zheng, Hao Ye, Xiaohao Han, Yuxin Li, Jun Wang, Jian Pu:
Parallel pathway dense neural network with weighted fusion structure for brain tumor segmentation. Neurocomputing 425: 1-11 (2021)
[c55]
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Yuang Liu, Wei Zhang, Jun Wang:
Source-Free Domain Adaptation for Semantic Segmentation. CVPR 2021: 1215-1224
[c54]
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Yuang Liu, Wei Zhang, Jun Wang:
Zero-Shot Adversarial Quantization. CVPR 2021: 1512-1521
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Jun Wang, Wei Zhang, Jinghong Tian, Mingtong Liu, Shengda Zhang:
Tracking and decision of outsourcing service for auto parts. DSIT 2021: 408-413
[c52]
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Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney:
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective. ICLR 2021
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Zhi Xu, Jun Wang, Jian Pu:
Defense against Adversarial Attacks with an Induced Class. IJCNN 2021: 1-8
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  - journals/corr/abs-2103-04062
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Yuang Liu, Wei Zhang, Jun Wang:
Adaptive Multi-Teacher Multi-level Knowledge Distillation. CoRR abs/2103.04062 (2021)
[i14]
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  - journals/corr/abs-2103-15263
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Yuang Liu, Wei Zhang, Jun Wang:
Zero-shot Adversarial Quantization. CoRR abs/2103.15263 (2021)
[i13]
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  - journals/corr/abs-2103-16372
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Yuang Liu, Wei Zhang, Jun Wang:
Source-Free Domain Adaptation for Semantic Segmentation. CoRR abs/2103.16372 (2021)
[i12]
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  - journals/corr/abs-2112-15278
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Yuang Liu, Wei Zhang, Jun Wang, Jianyong Wang:
Data-Free Knowledge Transfer: A Survey. CoRR abs/2112.15278 (2021)
2020
[j21]
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Yuang Liu, Wei Zhang, Jun Wang:
Adaptive multi-teacher multi-level knowledge distillation. Neurocomputing 415: 106-113 (2020)
[j20]
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Hao Yu, Zhenning Li, Guohui Zhang, Pan Liu, Jun Wang:
Extracting and Predicting Taxi Hotspots in Spatiotemporal Dimensions Using Conditional Generative Adversarial Neural Networks. IEEE Trans. Veh. Technol. 69(4): 3680-3692 (2020)
[c50]
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Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang:
Adaptive Structural Fingerprints for Graph Attention Networks. ICLR 2020
[c49]
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Xin Li, Xiangfeng Wang, Bo Jin, Wenjie Zhang, Jun Wang, Hongyuan Zha:
VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing. ICPR 2020: 1836-1843
[i11]
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  - journals/corr/abs-2002-04235
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Junjie Sheng, Xiangfeng Wang, Bo Jin, Junchi Yan, Wenhao Li, Tsung-Hui Chang, Jun Wang, Hongyuan Zha:
Learning Structured Communication for Multi-agent Reinforcement Learning. CoRR abs/2002.04235 (2020)
[i10]
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  - journals/corr/abs-2005-09163
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Yuang Liu, Wei Zhang, Jun Wang:
Learning from a Lightweight Teacher for Efficient Knowledge Distillation. CoRR abs/2005.09163 (2020)
[i9]
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  - journals/corr/abs-2006-15763
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Kai Zhang, Yaokang Zhu, Jun Wang, Jie Zhang, Hongyuan Zha:
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification. CoRR abs/2006.15763 (2020)
[i8]
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  - journals/corr/abs-2010-16412
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Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R. Varshney:
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective. CoRR abs/2010.16412 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
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Shuchen Kong, Weiwei Shen, Yingbin Zheng, Ao Zhang, Jian Pu, Jun Wang:
False positive rate control for positive unlabeled learning. Neurocomputing 367: 13-19 (2019)
[j18]
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Liang Lan, Zhuang Wang, Shandian Zhe, Wei Cheng, Jun Wang, Kai Zhang:
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach. IEEE Trans. Neural Networks Learn. Syst. 30(2): 369-378 (2019)
[c48]
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Weiwei Shen, Bin Wang, Jian Pu, Jun Wang:
The Kelly Growth Optimal Portfolio with Ensemble Learning. AAAI 2019: 1134-1141
2018
[j17]
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Yu Xiu, Weiwei Shen, Zhongqun Wang, Sanmin Liu, Jun Wang:
Multiple graph regularized graph transduction via greedy gradient Max-Cut. Inf. Sci. 423: 187-199 (2018)
[j16]
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Jun Wang, Wei Zhang, Wei Liu:
Minimum sensitivity based robust beamforming with eigenspace decomposition. Multidimens. Syst. Signal Process. 29(2): 687-701 (2018)
[j15]
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Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang:
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 352-364 (2018)
[c47]
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Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha:
Tau-FPL: Tolerance-Constrained Learning in Linear Time. AAAI 2018: 4398-4405
[c46]
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Huizhe Wu, Wei Zhang, Weiwei Shen, Jun Wang:
Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction. CIKM 2018: 1627-1630
[c45]
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Wen Wang, Wei Zhang, Jun Wang:
Factorization Meets Memory Network: Learning to Predict Activity Popularity. DASFAA (2) 2018: 509-525
[c44]
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Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha:
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. IJCAI 2018: 1625-1631
[c43]
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Wei Zhang, Wen Wang, Jun Wang, Hongyuan Zha:
User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction. WWW 2018: 1277-1286
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Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic:
Legislative Prediction with Political and Social Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018
[i7]
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  - journals/corr/abs-1801-04701
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Ao Zhang, Nan Li, Jian Pu, Jun Wang, Junchi Yan, Hongyuan Zha:
tau-FPL: Tolerance-Constrained Learning in Linear Time. CoRR abs/1801.04701 (2018)
2017
[j14]
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Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha:
Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. 250: 1-15 (2017)
[c42]
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  - conf/bibm/PuWZYSLZ17
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Jian Pu, Jun Wang, Yingbin Zheng, Hao Ye, Weiwei Shen, Yuxin Li, Hongyuan Zha:
Boosting Alzheimer diagnosis accuracy with the help of incomplete privileged information. BIBM 2017: 595-599
[c41]
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Fangyan Ye, Jian Pu, Jun Wang, Yuxin Li, Hongyuan Zha:
Glioma grading based on 3D multimodal convolutional neural network and privileged learning. BIBM 2017: 759-763
2016
[j13]
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Jian Pu, Jun Wang, Yu-Gang Jiang, Xiangyang Xue:
Multiple task learning with flexible structure regularization. Neurocomputing 177: 242-256 (2016)
[j12]
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Qi Dai, Jianguo Li, Jun Wang, Yurong Chen, Yu-Gang Jiang:
A Bayesian Hashing approach and its application to face recognition. Neurocomputing 213: 5-13 (2016)
[j11]
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Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang:
Learning to Hash for Indexing Big Data - A Survey. Proc. IEEE 104(1): 34-57 (2016)
2015
[j10]
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Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
Consistency-Driven Alternating Optimization for Multigraph Matching: A Unified Approach. IEEE Trans. Image Process. 24(3): 994-1009 (2015)
[j9]
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Jian Pu, Jun Wang, Wenwen Yu, Zhuangming Shen, Qian Lv, Kristina Zeljic, Chencheng Zhang, Bomin Sun, Guoxiang Liu, Zheng Wang:
Discriminative Structured Feature Engineering for Macroscale Brain Connectomes. IEEE Trans. Medical Imaging 34(11): 2333-2342 (2015)
[c40]
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Mingdong Ou, Peng Cui, Jun Wang, Fei Wang, Wenwu Zhu:
Probabilistic Attributed Hashing. AAAI 2015: 2894-2900
[c39]
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Junchi Yan, Jun Wang, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
Multi-View Point Registration via Alternating Optimization. AAAI 2015: 3834-3840
[c38]
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Weiwei Shen, Jun Wang, Yu-Gang Jiang, Hongyuan Zha:
Portfolio Choices with Orthogonal Bandit Learning. IJCAI 2015: 974-
[c37]
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Qi Dai, Jianguo Li, Jun Wang, Yurong Chen, Yu-Gang Jiang:
Optimal Bayesian Hashing for Efficient Face Recognition. IJCAI 2015: 3430-3437
[c36]
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Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu:
Non-transitive Hashing with Latent Similarity Components. KDD 2015: 895-904
[c35]
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Jinfeng Yi, Lijun Zhang, Tianbao Yang, Wei Liu, Jun Wang:
An Efficient Semi-Supervised Clustering Algorithm with Sequential Constraints. KDD 2015: 1405-1414
[i6]
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Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang:
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. CoRR abs/1502.07209 (2015)
[i5]
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Jianwei Luo, Jianguo Li, Jun Wang, Zhiguo Jiang, Yurong Chen:
Deep Attributes from Context-Aware Regional Neural Codes. CoRR abs/1509.02470 (2015)
[i4]
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Jun Wang, Wei Liu, Sanjiv Kumar, Shih-Fu Chang:
Learning to Hash for Indexing Big Data - A Survey. CoRR abs/1509.05472 (2015)
[i3]
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Zuxuan Wu, Yu-Gang Jiang, Xi Wang, Hao Ye, Xiangyang Xue, Jun Wang:
Fusing Multi-Stream Deep Networks for Video Classification. CoRR abs/1509.06086 (2015)
2014
[c34]
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Jinfeng Yi, Jun Wang, Rong Jin:
Privacy and Regression Model Preserved Learning. AAAI 2014: 1341-1347
[c33]
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Jian Pu, Yu-Gang Jiang, Jun Wang, Xiangyang Xue:
Which Looks Like Which: Exploring Inter-class Relationships in Fine-Grained Visual Categorization. ECCV (3) 2014: 425-440
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Yan Wang, Jie Feng, Zhixiang Wu, Jun Wang, Shih-Fu Chang:
From Low-Cost Depth Sensors to CAD: Cross-Domain 3D Shape Retrieval via Regression Tree Fields. ECCV (1) 2014: 489-504
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Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin, Anil K. Jain:
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data. ICML 2014: 658-666
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Kush R. Varshney, Vijil Chenthamarakshan, Scott W. Fancher, Jun Wang, DongPing Fang, Aleksandra Mojsilovic:
Predicting employee expertise for talent management in the enterprise. KDD 2014: 1729-1738
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Zuxuan Wu, Yu-Gang Jiang, Jun Wang, Jian Pu, Xiangyang Xue:
Exploring Inter-feature and Inter-class Relationships with Deep Neural Networks for Video Classification. ACM Multimedia 2014: 167-176
[c28]
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Xiang Wang, Jun Wang, Buyue Qian, Fei Wang, Ian Davidson:
Self-Taught Spectral Clustering via Constraint Augmentation. SDM 2014: 416-424
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Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic:
Legislative Prediction with Political and Social Network Analysis. Encyclopedia of Social Network Analysis and Mining 2014: 804-811
2013
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Amit Dhurandhar, Jun Wang:
Single Network Relational Transductive Learning. J. Artif. Intell. Res. 48: 813-839 (2013)
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Jun Wang, Tony Jebara, Shih-Fu Chang:
Semi-supervised learning using greedy max-cut. J. Mach. Learn. Res. 14(1): 771-800 (2013)
[j6]
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Yu-Gang Jiang, Jun Wang, Xiangyang Xue, Shih-Fu Chang:
Query-Adaptive Image Search With Hash Codes. IEEE Trans. Multim. 15(2): 442-453 (2013)
[c27]
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Guangnan Ye, Dong Liu, Jun Wang, Shih-Fu Chang:
Large-Scale Video Hashing via Structure Learning. ICCV 2013: 2272-2279
[c26]
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Jun Wang, Wei Liu, Andy X. Sun, Yu-Gang Jiang:
Learning Hash Codes with Listwise Supervision. ICCV 2013: 3032-3039
[c25]
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Buyue Qian, Xiang Wang, Jun Wang, Hongfei Li, Nan Cao, Weifeng Zhi, Ian Davidson:
Fast Pairwise Query Selection for Large-Scale Active Learning to Rank. ICDM 2013: 607-616
[c24]
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DongPing Fang, Kush R. Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H. Bauer:
Quantifying and Recommending Expertise When New Skills Emerge. ICDM Workshops 2013: 672-679
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Xiang Wang, Fei Wang, Jun Wang, Buyue Qian, Jianying Hu:
Exploring Patient Risk Groups with Incomplete Knowledge. ICDM 2013: 1223-1228
[c22]
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Jian Pu, Yu-Gang Jiang, Jun Wang, Xiangyang Xue:
Multiple Task Learning Using Iteratively Reweighted Least Square. IJCAI 2013: 1607-1613
[c21]
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Mingdong Ou, Peng Cui, Fei Wang, Jun Wang, Wenwu Zhu, Shiqiang Yang:
Comparing apples to oranges: a scalable solution with heterogeneous hashing. KDD 2013: 230-238
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Ian Davidson, Hongfei Li, Buyue Qian, Jun Wang, Xiang Wang:
Active Learning to Rank using Pairwise Supervision. SDM 2013: 297-305
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Kush R. Varshney, Lav R. Varshney, Jun Wang, Daniel Myers:
Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data. CoRR abs/1307.7982 (2013)
2012
[j5]
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Jun Wang, Sanjiv Kumar, Shih-Fu Chang:
Semi-Supervised Hashing for Large-Scale Search. IEEE Trans. Pattern Anal. Mach. Intell. 34(12): 2393-2406 (2012)
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Wei Liu, Jun Wang, Shih-Fu Chang:
Robust and Scalable Graph-Based Semisupervised Learning. Proc. IEEE 100(9): 2624-2638 (2012)
[j3]
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Yu-Gang Jiang, Qi Dai, Jun Wang, Chong-Wah Ngo, Xiangyang Xue, Shih-Fu Chang:
Fast Semantic Diffusion for Large-Scale Context-Based Image and Video Annotation. IEEE Trans. Image Process. 21(6): 3080-3091 (2012)
[c19]
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Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shih-Fu Chang:
Supervised hashing with kernels. CVPR 2012: 2074-2081
[c18]
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Moninder Singh, Kush R. Varshney, Jun Wang, Aleksandra Mojsilovic, Alisia R. Gill, Patricia I. Faur, Raphael Ezry:
An Analytics Approach for Proactively Combating Voluntary Attrition of Employees. ICDM Workshops 2012: 317-323
[c17]
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Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang:
Compact Hyperplane Hashing with Bilinear Functions. ICML 2012
[c16]
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Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic:
Legislative Prediction via Random Walks over a Heterogeneous Graph. SDM 2012: 1095-1106
[c15]
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Jun Wang, Moninder Singh, Kush R. Varshney:
Does selection bias blind performance diagnostics of business decision models? A case study in salesforce optimization. SOLI 2012: 416-421
[c14]
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Kush R. Varshney, Moninder Singh, Jun Wang:
Decision trees for heterogeneous dose-response signal analysis. SSP 2012: 904-907
[i1]
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Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang:
Compact Hyperplane Hashing with Bilinear Functions. CoRR abs/1206.4618 (2012)
2011
[b1]
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Jun Wang:
Semi-Supervised Learning for Scalable and Robust Visual Search. Columbia University, USA, 2011
[c13]
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Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang:
Hashing with Graphs. ICML 2011: 1-8
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Yu-Gang Jiang, Jun Wang, Shih-Fu Chang:
Lost in binarization: query-adaptive ranking for similar image search with compact codes. ICMR 2011: 16
2010
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Paul Sajda, Eric Pohlmeyer, Jun Wang, Lucas C. Parra, Christoforos Christoforou, Jacek Dmochowski, Barbara Hanna, Claus Bahlmann, Maneesh Kumar Singh, Shih-Fu Chang:
In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision. Proc. IEEE 98(3): 462-478 (2010)
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Jun Wang, Ondrej Kumar, Shih-Fu Chang:
Semi-supervised hashing for scalable image retrieval. CVPR 2010: 3424-3431
[c10]
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Jun Wang, Sanjiv Kumar, Shih-Fu Chang:
Sequential Projection Learning for Hashing with Compact Codes. ICML 2010: 1127-1134
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Paul Sajda, Eric Pohlmeyer, Jun Wang, Barbara Hanna, Lucas C. Parra, Shih-Fu Chang:
Cortically-Coupled Computer Vision. Brain-Computer Interfaces 2010: 133-148

2000 – 2009

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2009
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Jun Wang, Xiaobo Zhou, Fuhai Li, Pamela Bradley, Shih-Fu Chang, Norbert Perrimon, Stephen T. C. Wong:
An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling. J. Biomed. Informatics 42(1): 32-40 (2009)
[c9]
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Jun Wang, Yu-Gang Jiang, Shih-Fu Chang:
Label diagnosis through self tuning forweb image search. CVPR 2009: 1390-1397
[c8]
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Yu-Gang Jiang, Jun Wang, Shih-Fu Chang, Chong-Wah Ngo:
Domain adaptive semantic diffusion for large scale context-based video annotation. ICCV 2009: 1420-1427
[c7]
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Tony Jebara, Jun Wang, Shih-Fu Chang:
Graph construction and b-matching for semi-supervised learning. ICML 2009: 441-448
[c6]
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Jun Wang, Eric Pohlmeyer, Barbara Hanna, Yu-Gang Jiang, Paul Sajda, Shih-Fu Chang:
Brain state decoding for rapid image retrieval. ACM Multimedia 2009: 945-954
[c5]
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Chong-Wah Ngo, Yu-Gang Jiang, Xiao-Yong Wei, Wanlei Zhao, Yang Liu, Shiai Zhu, Jun Wang, Shih-Fu Chang:
VIREO/DVMM at TRECVID 2009: High-Level Feature Extraction, Automatic Video Search, and Content-Based Copy Detection. TRECVID 2009
2008
[c4]
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Jun Wang, Shih-Fu Chang, Xiaobo Zhou, Stephen T. C. Wong:
Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels. CVPR 2008
[c3]
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Jun Wang, Tony Jebara, Shih-Fu Chang:
Graph transduction via alternating minimization. ICML 2008: 1144-1151
2007
[c2]
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Jun Wang, Xiaobo Zhou, Ju Lu, Jeff Lichtman, Shih-Fu Chang, Stephen T. C. Wong:
Dynamic Local Tracing for 3d Axon Curvilinear Structure Detection from Microscopic Image Stack. ISBI 2007: 81-84

1990 – 1999

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1997
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Mehran Moshfeghi, Tony M. Chou, Hein P. A. Haas, H. K. Huang, William P. Lord, Joachim D. Schmidt, Jun Wang, Thomas Wendler, Stephen T. C. Wong, Yuan-Pin Yu, Christian Zellner:
Design of a multimedia system for multispecialty medical conferences. Medical Imaging: Image Processing 1997

Coauthor Index

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