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Jun Wu 0007

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affiliation: Beijing Jiaotong University, School of Computer and Information Technology, China
affiliation (2015 - 2016): University of Rochester, Department of Computer Science, NY, USA
affiliation (PhD 2015): Dalian Maritime University, Department of Computer Science, China

Other persons with the same name

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Jun Wu — disambiguation page
Jun Wu 0001 — Shanghai Jiao Tong University, Shanghai Key Laboratory of Integrated Administration Technologies for Information Security, China (and 1 more)
Jun Wu 0002 — Southeast University, Department of Computer Science and Engineering, Nanjing, China
Jun Wu 0003 — Zhejiang University, Institute of Cyber-Systems and Control, Hangzhou, China
Jun Wu 0004 — National University of Defence Technology, Department of Management, Changsha, China
Jun Wu 0005 — Delft University of Technology, Department of Design Engineering, The Netherlands (and 4 more)
Jun Wu 0006 — Fudan University, School of Computer Science, Shanghai, China (and 2 more)
Jun Wu 0008 — Dalian University of Technology, Faculty of Electronic Information and Electrical Engineering, China
Jun Wu 0009 — Chungnam National University, Daejeon, Korea
Jun Wu 0010 — National Pingtung University, Department of Computer Science and Information Engineering, Taiwan (and 1 more)

Jun Wu 0011 — Southeast University, School of Information Science and Engineering, Nanjing, China (and 1 more)
Jun Wu 0012 — Huazhong University of Science and Technology, School of Naval Architecture and Ocean Engineering, Wuhan, China (and 1 more)
Jun Wu 0013 — Zhejiang Medical College, Network Center, Hangzhou, China
Jun Wu 0014 — Tianjin Polytechnic University, School of Electronics and Information Engineering, China
Jun Wu 0015 — Nanjing University of Finance and Economics, Jiangsu Provincial Key Laboratory of E-Business, Nanjing, China (and 3 more)
Jun Wu 0016 — Tsinghua University, Department of Mechanical Engineering, Beijing, China
Jun Wu 0017 — Guilin University of Electronic Technology, College of Electronic Engineering and Automation, China
Jun Wu 0018 — Beijing University of Posts and Telecommunications, School of Economics and Management, China
Jun Wu 0019 — University of Illinois at Urbana-Champaign, IL, USA (and 2 more)
Jun Wu 0020 — Northeast Normal University, Changchun, China
Jun Wu 0021 — Xidian University, State Key Laboratory of Integrated Service Network, Xi'an, China
Jun Wu 0022 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
Jun Wu 0023 — Southern University of Science and Technology, School of System Design and Intelligent Manufacturing (SDIM), Shenzhen, China

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2020 – today

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2024
[j13]
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Fangyuan Luo, Jun Wu, Tao Wang:
Discrete Listwise Content-aware Recommendation. ACM Trans. Knowl. Discov. Data 18(1): 7:1-7:20 (2024)
[j12]
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Xiangkui Lu, Jun Wu, Junheng Huang, Fangyuan Luo, Jianbo Yuan:
Co-Training-Teaching: A Robust Semi-Supervised Framework for Review-Aware Rating Regression. ACM Trans. Knowl. Discov. Data 18(2): 41:1-41:16 (2024)
[c37]
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Fangyuan Luo, Jun Wu:
Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract). AAAI 2024: 23569-23570
[c36]
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Yijiang Li, Jun Wu:
Improving Prompt-based News Recommendation with Individual Template and Customized Answer. CIKM 2024: 3887-3891
[c35]
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Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu:
MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection. PAKDD (5) 2024: 28-39
2023
[j11]
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Jing Wang, Jun Wu, Caiyan Jia, Zhifei Zhang:
Self-supervised variational autoencoder towards recommendation by nested contrastive learning. Appl. Intell. 53(15): 18887-18897 (2023)
[j10]
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Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li:
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. ACM Trans. Inf. Syst. 41(4): 90:1-90:28 (2023)
[c34]
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Xiangkui Lu, Jun Wu:
Semi-supervised Review-Aware Rating Regression (Student Abstract). AAAI 2023: 16272-16273
[c33]
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Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu:
Multimodal Fake News Detection Based on Multi-source Heterogeneous Data Fusion. PAAP 2023: 1-6
[c32]
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Xiangkui Lu, Jun Wu, Jianbo Yuan:
Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation. SIGIR 2023: 2236-2240
[c31]
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Fangyuan Luo, Jun Wu:
User-Dependent Learning to Debias for Recommendation. SIGIR 2023: 2491-2495
2022
[j9]
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Haishuai Wang, Jiali Ma, Ziping Zhao, Zhenyi Jia, Zhenyan Ji, Jun Wu:
Adversarial Training for Predicting the Trend of the COVID-19 Pandemic. J. Database Manag. 33(1): 1-16 (2022)
[c30]
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Yanqiang Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jin Zhou, Jun Wu:
Fake News Detection Based on the Correlation Extension of Multimodal Information. APWeb/WAIM (1) 2022: 443-450
[c29]
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  - conf/cikm/ZhangL022
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Shun Zhang, Xiangkui Lu, Jun Wu:
Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction. CIKM 2022: 4697-4701
[c28]
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Fangyuan Luo, Jun Wu, Tao Wang:
Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback. IJCAI 2022: 2159-2165
[c27]
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Shuang Tang, Fangyuan Luo, Jun Wu:
Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction. SIGIR 2022: 2400-2404
[i2]
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  - journals/corr/abs-2206-11743
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Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li:
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. CoRR abs/2206.11743 (2022)
2021
[j8]
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Maosheng Wei, Jun Wu, Lina Yang, Yuanyan Tang:
Matrix factorization with dual-network collaborative embedding for social recommendation. Int. J. Wavelets Multiresolution Inf. Process. 19(5): 2150016:1-2150016:15 (2021)
[j7]
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Jun Wu, Xiankai Sang, Wei Cui:
Semi-supervised collaborative filtering ensemble. World Wide Web 24(2): 657-673 (2021)
[c26]
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Fangyuan Luo, Jun Wu, Haishuai Wang:
Semi-Discrete Social Recommendation (Student Abstract). AAAI 2021: 15835-15836
[c25]
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Songyin Luo, Xiangkui Lu, Jun Wu, Jianbo Yuan:
Review-Aware Neural Recommendation with Cross-Modality Mutual Attention. CIKM 2021: 3293-3297
[c24]
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  - conf/dasfaa/HuangL021
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Junheng Huang, Fangyuan Luo, Jun Wu:
Semi-supervised Factorization Machines for Review-Aware Recommendation. DASFAA (3) 2021: 85-99
[c23]
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Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li:
Enhancing Fake News Classification by Generating Neural Fake Samples. DTPI 2021: 152-155
[c22]
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  - conf/wise/LiJMCWLX21
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Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu:
HACK: A Hierarchical Model for Fake News Detection. WISE (1) 2021: 565-572
[c21]
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Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu:
Expert Recommendations with Temporal Dynamics of User Interest in CQA. WISE (1) 2021: 645-652
[i1]
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  - journals/corr/abs-2102-13360
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Zun Li, Congyan Lang, Liqian Liang, Tao Wang, Songhe Feng, Jun Wu, Yidong Li:
A Universal Model for Cross Modality Mapping by Relational Reasoning. CoRR abs/2102.13360 (2021)
2020
[j6]
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Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang:
Semi-discrete Matrix Factorization. IEEE Intell. Syst. 35(5): 73-83 (2020)

2010 – 2019

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2019
[j5]
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Yujia Zhang, Jun Wu, Haishuai Wang:
Neural Binary Representation Learning for Large-Scale Collaborative Filtering. IEEE Access 7: 60752-60763 (2019)
[c20]
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Ke Ji, Yahan Yuan, Kun Ma, Runyuan Sun, Zhenxiang Chen, Jun Wu:
Context-aware recommendations via a tree-based ensemble framework. ACM TUR-C 2019: 50:1-50:5
[c19]
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  - conf/besc/LiuWWL19
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Kai Liu, Tianjiao Wang, Jun Wu, Yidong Li:
Sparse Multi-Graph Ranking towards Social Image Retrieval^†. BESC 2019: 1-7
[c18]
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  - conf/pricai/GengLXF019
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Bingqian Geng, Congyan Lang, Junliang Xing, Songhe Feng, Jun Wu:
MFAD: A Multi-modality Face Anti-spoofing Dataset. PRICAI (2) 2019: 214-225
2018
[c17]
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Yankun Jia, Yidong Li, Jun Wu:
Asynchronous Bi-clustering for Image Recommendation. Big Data (CCF) 2018: 411-426
[c16]
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Yujia Zhang, Jun Wu, Haishuai Wang:
Binary Collaborative Filtering Ensemble. PRICAI (1) 2018: 993-1004
[c15]
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Honglei Zhang, Gangdu Liu, Jun Wu:
Social Collaborative Filtering Ensemble. PRICAI (1) 2018: 1005-1017
2017
[j4]
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Jun Wu, Yu He, Xiangnan Guo, Yujia Zhang, Na Zhao:
Heterogeneous Manifold Ranking for Image Retrieval. IEEE Access 5: 16871-16884 (2017)
[j3]
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  - journals/comsis/WuHQZS17
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Jun Wu, Yu He, Xiaohong Qin, Na Zhao, Yingpeng Sang:
Click-boosted graph ranking for image retrieval. Comput. Sci. Inf. Syst. 14(3): 629-641 (2017)
[c14]
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Haishuai Wang, Jun Wu:
Boosting for Real-Time Multivariate Time Series Classification. AAAI 2017: 4999-5000
[c13]
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Yu He, Jun Wu, Haishuai Wang:
Clickthrough refinement for improved graph ranking. IJCNN 2017: 3288-3295
[c12]
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  - conf/pdcat/DongLLW17
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Yaru Dong, Yidong Li, Wenhua Liu, Jun Wu:
Unconscious Behavior Detection for Pedestrian Safety Based on Gesture Features. PDCAT 2017: 39-43
2016
[c11]
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Tao Wang, Haibin Ling, Congyan Lang, Jun Wu:
Branching Path Following for Graph Matching. ECCV (2) 2016: 508-523
[c10]
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Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu:
Mining subcascade features for cascade outbreak prediction in big networks. IJCNN 2016: 3942-3949
[c9]
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Xiaohong Qin, Yu He, Jun Wu, Yingpeng Sang:
Leveraging Click Completion for Graph-Based Image Ranking. PDCAT 2016: 155-160
2014
[j2]
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Jun Wu, Zhi-Bo Xiao, Haishuai Wang, Hong Shen:
Learning with both unlabeled data and query logs for image search. Comput. Electr. Eng. 40(3): 964-973 (2014)
[c8]
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Limin Zhao, Hong Shen, Yidong Li, Jun Wu:
AB-Chord: An Improved Chord Based on Ant Colony Optimizationand Bi-Directional Lookup Routing. PAAP 2014: 172-177
[c7]
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Ke Ji, Hong Shen, Hui Tian, Yanbo Wu, Jun Wu:
Two-Phase Layered Learning Recommendation via Category Structure. PAKDD (2) 2014: 13-24
[c6]
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  - conf/pakdd/ShuSSLW14
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Wenhao Shu, Hong Shen, Yingpeng Sang, Yidong Li, Jun Wu:
A New Evaluation Function for Entropy-Based Feature Selection from Incomplete Data. PAKDD (2) 2014: 98-109
[c5]
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  - conf/pakdd/ZhangSHLWS14
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Dandan Zhang, Hong Shen, Hui Tian, Yidong Li, Jun Wu, Yingpeng Sang:
A Selectively Re-train Approach Based on Clustering to Classify Concept-Drifting Data Streams with Skewed Distribution. PAKDD (2) 2014: 413-424
2013
[j1]
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Jun Wu, Hong Shen, Yidong Li, Zhi-Bo Xiao, Mingyu Lu, Chun-Li Wang:
Learning a hybrid similarity measure for image retrieval. Pattern Recognit. 46(11): 2927-2939 (2013)
[c4]
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Jun Wu, Yidong Li, Songhe Feng, Hong Shen:
A Self-immunizing Manifold Ranking for Image Retrieval. PAKDD (2) 2013: 426-436
2012
[c3]
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  - conf/pdcat/ZhangTSLWWS12
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Dandan Zhang, Hui Tian, Yingpeng Sang, Yidong Li, Yanbo Wu, Jun Wu, Hong Shen:
A Clustering Algorithm Based on Density-Grid for Stream Data. PDCAT 2012: 398-403
[c2]
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Limin Zhao, Jun Wu, Hong Shen, Yidong Li, Yingpeng Sang:
An Improved Chord Based on Counting Bloom Filter and Topology-Aware Lookup. PDCAT 2012: 703-706
[c1]
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Jun Wu, Yidong Li, Yingpeng Sang, Hong Shen:
Incorporating Manifold Ranking with Active Learning in Relevance Feedback for Image Retrieval. PDCAT 2012: 739-744

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