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ORCIDJun Wu 0007
Person information
- 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
- Jun Wu — disambiguation page
- Jun Wu 0001
![[0000-0003-2483-6980]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2483-6980")
— 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
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Journal Articles
- 2024
[j13]Fangyuan Luo, Jun Wu, Tao Wang:
Discrete Listwise Content-aware Recommendation. ACM Trans. Knowl. Discov. Data 18(1): 7:1-7:20 (2024)- [j12]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) - 2023
- [j11]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]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) - 2022
- [j9]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) - 2021
- [j8]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]Jun Wu, Xiankai Sang, Wei Cui:
Semi-supervised collaborative filtering ensemble. World Wide Web 24(2): 657-673 (2021) - 2020
- [j6]Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang:
Semi-discrete Matrix Factorization. IEEE Intell. Syst. 35(5): 73-83 (2020) - 2019
- [j5]Yujia Zhang, Jun Wu, Haishuai Wang:
Neural Binary Representation Learning for Large-Scale Collaborative Filtering. IEEE Access 7: 60752-60763 (2019) - 2017
- [j4]Jun Wu, Yu He, Xiangnan Guo, Yujia Zhang, Na Zhao:
Heterogeneous Manifold Ranking for Image Retrieval. IEEE Access 5: 16871-16884 (2017) - [j3]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) - 2014
- [j2]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) - 2013
- [j1]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)
Conference and Workshop Papers
- 2024
- [c36]Fangyuan Luo, Jun Wu:
Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract). AAAI 2024: 23569-23570 - [c35]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
- [c34]Xiangkui Lu, Jun Wu:
Semi-supervised Review-Aware Rating Regression (Student Abstract). AAAI 2023: 16272-16273 - [c33]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]Xiangkui Lu, Jun Wu, Jianbo Yuan:
Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation. SIGIR 2023: 2236-2240 - [c31]Fangyuan Luo, Jun Wu:
User-Dependent Learning to Debias for Recommendation. SIGIR 2023: 2491-2495 - 2022
- [c30]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]Shun Zhang, Xiangkui Lu, Jun Wu:
Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction. CIKM 2022: 4697-4701 - [c28]Fangyuan Luo, Jun Wu, Tao Wang:
Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback. IJCAI 2022: 2159-2165 - [c27]Shuang Tang, Fangyuan Luo, Jun Wu:
Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction. SIGIR 2022: 2400-2404 - 2021
- [c26]Fangyuan Luo, Jun Wu, Haishuai Wang:
Semi-Discrete Social Recommendation (Student Abstract). AAAI 2021: 15835-15836 - [c25]Songyin Luo, Xiangkui Lu, Jun Wu, Jianbo Yuan:
Review-Aware Neural Recommendation with Cross-Modality Mutual Attention. CIKM 2021: 3293-3297 - [c24]Junheng Huang, Fangyuan Luo, Jun Wu:
Semi-supervised Factorization Machines for Review-Aware Recommendation. DASFAA (3) 2021: 85-99 - [c23]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]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]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 - 2019
- [c20]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]Kai Liu, Tianjiao Wang, Jun Wu, Yidong Li:
Sparse Multi-Graph Ranking towards Social Image Retrieval†. BESC 2019: 1-7 - [c18]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]Yankun Jia, Yidong Li, Jun Wu:
Asynchronous Bi-clustering for Image Recommendation. Big Data (CCF) 2018: 411-426 - [c16]Yujia Zhang, Jun Wu, Haishuai Wang:
Binary Collaborative Filtering Ensemble. PRICAI (1) 2018: 993-1004 - [c15]Honglei Zhang, Gangdu Liu, Jun Wu:
Social Collaborative Filtering Ensemble. PRICAI (1) 2018: 1005-1017 - 2017
- [c14]Haishuai Wang, Jun Wu:
Boosting for Real-Time Multivariate Time Series Classification. AAAI 2017: 4999-5000 - [c13]Yu He, Jun Wu, Haishuai Wang:
Clickthrough refinement for improved graph ranking. IJCNN 2017: 3288-3295 - [c12]Yaru Dong, Yidong Li, Wenhua Liu, Jun Wu:
Unconscious Behavior Detection for Pedestrian Safety Based on Gesture Features. PDCAT 2017: 39-43 - 2016
- [c11]Tao Wang, Haibin Ling, Congyan Lang, Jun Wu:
Branching Path Following for Graph Matching. ECCV (2) 2016: 508-523 - [c10]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]Xiaohong Qin, Yu He, Jun Wu, Yingpeng Sang:
Leveraging Click Completion for Graph-Based Image Ranking. PDCAT 2016: 155-160 - 2014
- [c8]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]Ke Ji, Hong Shen, Hui Tian, Yanbo Wu, Jun Wu:
Two-Phase Layered Learning Recommendation via Category Structure. PAKDD (2) 2014: 13-24 - [c6]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]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
- [c4]Jun Wu, Yidong Li, Songhe Feng, Hong Shen:
A Self-immunizing Manifold Ranking for Image Retrieval. PAKDD (2) 2013: 426-436 - 2012
- [c3]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]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]Jun Wu, Yidong Li, Yingpeng Sang, Hong Shen:
Incorporating Manifold Ranking with Active Learning in Relevance Feedback for Image Retrieval. PDCAT 2012: 739-744
Informal and Other Publications
- 2022
- [i2]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
- [i1]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)
Coauthor Index
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