Jun Wu

58 papers A* 9A 3B 4C 5Journal 19Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Counterfactual reasoning for alleviating dual biases in recommendation.
Int. J. Mach. Learn. Cybern.
Sijin Lu, Fangyuan Luo, Jun Wu
2025 A* conf
Dual Debiasing in LLM-based Recommendation.
SIGIR
Sijin Lu, Zhibo Man, Fangyuan Luo, Jun Wu
2025 J jnl
Rank Gap Sensitive Deep AUC maximization for CTR prediction.
Pattern Recognit.
Fangyuan Luo, Yankai Chen, Jun Wu, Yidong Li
2025 J jnl
Robust recommendation-oriented malicious attack detection method.
Inf. Sci.
Hui Liu, Ke Ji, Kun Ma, Zhenxiang Chen, Jin Zhou, Jun Wu
2024 J jnl
Co-Training-Teaching: A Robust Semi-Supervised Framework for Review-Aware Rating Regression.
ACM Trans. Knowl. Discov. Data
Xiangkui Lu, Jun Wu, Junheng Huang, Fangyuan Luo, Jianbo Yuan
2024 J jnl
Discrete Listwise Content-aware Recommendation.
ACM Trans. Knowl. Discov. Data
Fangyuan Luo, Jun Wu, Tao Wang
2024 A conf
Improving Prompt-based News Recommendation with Individual Template and Customized Answer.
CIKM
Yijiang Li, Jun Wu
2024 J jnl
Learning to Hash for Recommendation: A Survey.
CoRR
Fangyuan Luo, Honglei Zhang, Tong Li, Jun Wu
2024 — conf
MHDF: Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection.
PAKDD (5)
Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu
2024 A* conf
Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract).
AAAI
Fangyuan Luo, Jun Wu
2023 J jnl
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization.
ACM Trans. Inf. Syst.
Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li
2023 — conf
Multimodal Fake News Detection Based on Multi-source Heterogeneous Data Fusion.
PAAP
Yongxin Yu, Ke Ji, Yuan Gao, Zhenxiang Chen, Kun Ma, Jun Wu
2023 A* conf
Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation.
SIGIR
Xiangkui Lu, Jun Wu, Jianbo Yuan
2023 J jnl
Self-supervised variational autoencoder towards recommendation by nested contrastive learning.
Appl. Intell.
Jing Wang, Jun Wu, Caiyan Jia, Zhifei Zhang
2023 A* conf
Semi-supervised Review-Aware Rating Regression (Student Abstract).
AAAI
Xiangkui Lu, Jun Wu
2023 A* conf
User-Dependent Learning to Debias for Recommendation.
SIGIR
Fangyuan Luo, Jun Wu
2022 J jnl
Adversarial Training for Predicting the Trend of the COVID-19 Pandemic.
J. Database Manag.
Haishuai Wang, Jiali Ma, Ziping Zhao, Zhenyi Jia, Zhenyan Ji, Jun Wu
2022 A conf
Co-Training with Validation: A Generic Framework for Semi-Supervised Relation Extraction.
CIKM
Shun Zhang, Xiangkui Lu, Jun Wu
2022 A* conf
Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback.
IJCAI
Fangyuan Luo, Jun Wu, Tao Wang
2022 — conf
Fake News Detection Based on the Correlation Extension of Multimodal Information.
APWeb/WAIM (1)
Yanqiang Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jin Zhou, Jun Wu
2022 J jnl
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization.
CoRR
Honglei Zhang, Fangyuan Luo, Jun Wu, Xiangnan He, Yidong Li
2022 A* conf
Smooth-AUC: Smoothing the Path Towards Rank-based CTR Prediction.
SIGIR
Shuang Tang, Fangyuan Luo, Jun Wu
2021 J jnl
A Universal Model for Cross Modality Mapping by Relational Reasoning.
CoRR
Zun Li, Congyan Lang, Liqian Liang, Tao Wang, Songhe Feng, Jun Wu, Yidong Li
2021 — conf
Enhancing Fake News Classification by Generating Neural Fake Samples.
DTPI
Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li
2021 — conf
Expert Recommendations with Temporal Dynamics of User Interest in CQA.
WISE (1)
Xiaoqi Lv, Ke Ji, Zhenxiang Chen, Kun Ma, Jun Wu, Yidong Li, Guandong Xu
2021 — conf
HACK: A Hierarchical Model for Fake News Detection.
WISE (1)
Yanqi Li, Ke Ji, Kun Ma, Zhenxiang Chen, Jun Wu, Yidong Li, Guandong Xu
2021 J jnl
Matrix factorization with dual-network collaborative embedding for social recommendation.
Int. J. Wavelets Multiresolution Inf. Process.
Maosheng Wei, Jun Wu, Lina Yang, Yuanyan Tang
2021 A conf
Review-Aware Neural Recommendation with Cross-Modality Mutual Attention.
CIKM
Songyin Luo, Xiangkui Lu, Jun Wu, Jianbo Yuan
2021 A* conf
Semi-Discrete Social Recommendation (Student Abstract).
AAAI
Fangyuan Luo, Jun Wu, Haishuai Wang
2021 — conf
Semi-supervised Factorization Machines for Review-Aware Recommendation.
DASFAA (3)
Junheng Huang, Fangyuan Luo, Jun Wu
2021 J jnl
Semi-supervised collaborative filtering ensemble.
World Wide Web
Jun Wu, Xiankai Sang, Wei Cui
2020 J jnl
Semi-discrete Matrix Factorization.
IEEE Intell. Syst.
Jun Wu, Fangyuan Luo, Yujia Zhang, Haishuai Wang
2019 — conf
Context-aware recommendations via a tree-based ensemble framework.
ACM TUR-C
Ke Ji, Yahan Yuan, Kun Ma, Runyuan Sun, Zhenxiang Chen, Jun Wu
2019 B conf
Integrating Dual User Network Embedding with Matrix Factorization for Social Recommender Systems
IJCNN
Liying Chen, Honglei Zhang, Jun Wu
2019 — conf
MFAD: A Multi-modality Face Anti-spoofing Dataset.
PRICAI (2)
Bingqian Geng, Congyan Lang, Junliang Xing, Songhe Feng, Jun Wu
2019 J jnl
Neural Binary Representation Learning for Large-Scale Collaborative Filtering.
IEEE Access
Yujia Zhang, Jun Wu, Haishuai Wang
2019 — conf
Sparse Multi-Graph Ranking towards Social Image Retrieval
BESC
Kai Liu, Tianjiao Wang, Jun Wu, Yidong Li
2018 B conf
Asynchronous Bi-clustering for Image Recommendation.
Big Data (CCF)
Yankun Jia, Yidong Li, Jun Wu
2018 — conf
Binary Collaborative Filtering Ensemble.
PRICAI (1)
Yujia Zhang, Jun Wu, Haishuai Wang
2018 — conf
Social Collaborative Filtering Ensemble.
PRICAI (1)
Honglei Zhang, Gangdu Liu, Jun Wu
2017 A* conf
Boosting for Real-Time Multivariate Time Series Classification.
AAAI
Haishuai Wang, Jun Wu
2017 J jnl
Click-boosted graph ranking for image retrieval.
Comput. Sci. Inf. Syst.
Jun Wu, Yu He, Xiaohong Qin, Na Zhao, Yingpeng Sang
2017 B conf
Clickthrough refinement for improved graph ranking.
IJCNN
Yu He, Jun Wu, Haishuai Wang
2017 J jnl
Heterogeneous Manifold Ranking for Image Retrieval.
IEEE Access
Jun Wu, Yu He, Xiangnan Guo, Yujia Zhang, Na Zhao
2017 C conf
Unconscious Behavior Detection for Pedestrian Safety Based on Gesture Features.
PDCAT
Yaru Dong, Yidong Li, Wenhua Liu, Jun Wu
2016 — conf
Branching Path Following for Graph Matching.
ECCV (2)
Tao Wang, Haibin Ling, Congyan Lang, Jun Wu
2016 C conf
Leveraging Click Completion for Graph-Based Image Ranking.
PDCAT
Xiaohong Qin, Yu He, Jun Wu, Yingpeng Sang
2016 B conf
Mining subcascade features for cascade outbreak prediction in big networks.
IJCNN
Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu
2014 — conf
A New Evaluation Function for Entropy-Based Feature Selection from Incomplete Data.
PAKDD (2)
Wenhao Shu, Hong Shen, Yingpeng Sang, Yidong Li, Jun Wu
2014 — conf
A Selectively Re-train Approach Based on Clustering to Classify Concept-Drifting Data Streams with Skewed Distribution.
PAKDD (2)
Dandan Zhang, Hong Shen, Hui Tian, Yidong Li, Jun Wu, Yingpeng Sang
2014 — conf
AB-Chord: An Improved Chord Based on Ant Colony Optimizationand Bi-Directional Lookup Routing.
PAAP
Limin Zhao, Hong Shen, Yidong Li, Jun Wu
2014 J jnl
Learning with both unlabeled data and query logs for image search.
Comput. Electr. Eng.
Jun Wu, Zhi-Bo Xiao, Haishuai Wang, Hong Shen
2014 — conf
Two-Phase Layered Learning Recommendation via Category Structure.
PAKDD (2)
Ke Ji, Hong Shen, Hui Tian, Yanbo Wu, Jun Wu
2013 — conf
A Self-immunizing Manifold Ranking for Image Retrieval.
PAKDD (2)
Jun Wu, Yidong Li, Songhe Feng, Hong Shen
2013 J jnl
Learning a hybrid similarity measure for image retrieval.
Pattern Recognit.
Jun Wu, Hong Shen, Yidong Li, Zhi-Bo Xiao, Mingyu Lu, Chun-Li Wang
2012 C conf
A Clustering Algorithm Based on Density-Grid for Stream Data.
PDCAT
Dandan Zhang, Hui Tian, Yingpeng Sang, Yidong Li, Yanbo Wu, Jun Wu, Hong Shen
2012 C conf
An Improved Chord Based on Counting Bloom Filter and Topology-Aware Lookup.
PDCAT
Limin Zhao, Jun Wu, Hong Shen, Yidong Li, Yingpeng Sang
2012 C conf
Incorporating Manifold Ranking with Active Learning in Relevance Feedback for Image Retrieval.
PDCAT
Jun Wu, Yidong Li, Yingpeng Sang, Hong Shen