Jun Wu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Topics

Matrix Factorization

Social Recommendation

Collaborative Filtering

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

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) (2024)
Fangyuan Luo, Jun Wu, Tao Wang
Discrete Listwise Content-aware Recommendation. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Fangyuan Luo, Jun Wu
Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract). AAAI (2024)
Jing Wang, Jun Wu, Caiyan Jia, Zhifei Zhang
Self-supervised variational autoencoder towards recommendation by nested contrastive learning. Appl. Intell. 53 (15) (2023)
Fangyuan Luo, Jun Wu
User-Dependent Learning to Debias for Recommendation. SIGIR (2023)
Xiangkui Lu, Jun Wu, Jianbo Yuan
Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation. SIGIR (2023)
Xiangkui Lu, Jun Wu
Semi-supervised Review-Aware Rating Regression (Student Abstract). AAAI (2023)
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) (2023)
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) (2022)
Shun Zhang, Xiangkui Lu, Jun Wu
Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction. CIKM (2022)
Shuang Tang, Fangyuan Luo, Jun Wu
Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction. SIGIR (2022)
Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization. CoRR (2022)
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)
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)
Junheng Huang, Fangyuan Luo, Jun Wu
Semi-supervised Factorization Machines for Review-Aware Recommendation. DASFAA (3) (2021)
Jun Wu, Xiankai Sang, Wei Cui
Semi-supervised collaborative filtering ensemble. World Wide Web 24 (2) (2021)
Songyin Luo, Xiangkui Lu, Jun Wu, Jianbo Yuan
Review-Aware Neural Recommendation with Cross-Modality Mutual Attention. CIKM (2021)
Fangyuan Luo, Jun Wu, Haishuai Wang
Semi-Discrete Social Recommendation (Student Abstract). AAAI (2021)
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) (2021)
Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang
Semi-discrete Matrix Factorization. IEEE Intell. Syst. 35 (5) (2020)
Bingqian Geng, Congyan Lang, Junliang Xing, Songhe Feng, Jun Wu
MFAD: A Multi-modality Face Anti-spoofing Dataset. PRICAI (2) (2019)
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)
Yujia Zhang, Jun Wu, Haishuai Wang
Neural Binary Representation Learning for Large-Scale Collaborative Filtering. IEEE Access 7 (2019)
Yujia Zhang, Jun Wu, Haishuai Wang
Binary Collaborative Filtering Ensemble. PRICAI (1) (2018)
Honglei Zhang, Gangdu Liu, Jun Wu
Social Collaborative Filtering Ensemble. PRICAI (1) (2018)
Yankun Jia, Yidong Li, Jun Wu
Asynchronous Bi-clustering for Image Recommendation. Big Data (CCF) (2018)
Jun Wu, Yu He, Xiaohong Qin, Na Zhao, Yingpeng Sang
Click-boosted graph ranking for image retrieval. Comput. Sci. Inf. Syst. 14 (3) (2017)
Yu He, Jun Wu, Haishuai Wang
Clickthrough refinement for improved graph ranking. IJCNN (2017)
Haishuai Wang, Jun Wu
Boosting for Real-Time Multivariate Time Series Classification. AAAI (2017)
Jun Wu, Yu He, Xiangnan Guo, Yujia Zhang, Na Zhao
Heterogeneous Manifold Ranking for Image Retrieval. IEEE Access 5 (2017)
Tao Wang, Haibin Ling, Congyan Lang, Jun Wu
Branching Path Following for Graph Matching. ECCV (2) (2016)
Xiaohong Qin, Yu He, Jun Wu, Yingpeng Sang
Leveraging Click Completion for Graph-Based Image Ranking. PDCAT (2016)
Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu
Mining subcascade features for cascade outbreak prediction in big networks. IJCNN (2016)
Ke Ji, Hong Shen, Hui Tian, Yanbo Wu, Jun Wu
Two-Phase Layered Learning Recommendation via Category Structure. PAKDD (2) (2014)
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)
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)
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) (2014)
Limin Zhao, Hong Shen, Yidong Li, Jun Wu
AB-Chord: An Improved Chord Based on Ant Colony Optimizationand Bi-Directional Lookup Routing. PAAP (2014)
Jun Wu, Yidong Li, Songhe Feng, Hong Shen
A Self-immunizing Manifold Ranking for Image Retrieval. PAKDD (2) (2013)
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) (2013)
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)
Jun Wu, Yidong Li, Yingpeng Sang, Hong Shen
Incorporating Manifold Ranking with Active Learning in Relevance Feedback for Image Retrieval. PDCAT (2012)
Limin Zhao, Jun Wu, Hong Shen, Yidong Li, Yingpeng Sang
An Improved Chord Based on Counting Bloom Filter and Topology-Aware Lookup. PDCAT (2012)