Kun Zhang

2026

Privacy Matters: Data Attack to Make User Preferences Unlearnable in Recommendation.

Pengyang Shao|Le Wu|Kun Zhang|Lei Chen|Meng Wang

ACM Transactions on Information Systems (TOIS) 2026 Volume 44 Issue 4

Mitigating Fine-tuning Bias: A Parameter-Efficient Debiasing Framework for Large Language Models.

Qiuyu Li|Kun Zhang|Le Wu|Hao Liu|Hefei Xu|Xin Li|Si Wei

Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.

2025

CPWS: Confident Programmatic Weak Supervision for High-Quality Data Labeling.

Shulan Ruan|Huijie Liu|Zhao Chen|Bin Feng|Kun Zhang|Caleb Chen Cao|Enhong Chen|Lei Chen

ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 4

Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems.

Lina Yao|Julian J. McAuley|Yongfeng Zhang|Kun Zhang

ACM Transactions on Information Systems (TOIS) 2025 Volume 43 Issue 6

Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing.

Mi Tian|Kun Zhang|Fei Liu|Jinglong Li|Yuxin Liao|Chenxi Bai|Zhengtao Tan|Le Wu|Richang Hong

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025

2024

A relation-aware representation approach for the question matching system.

Yanmin Chen|Enhong Chen|Kun Zhang|Qi Liu|Ruijun Sun

World Wide Web (WWW) 2024 Volume 27 Issue 2

Average User-Side Counterfactual Fairness for Collaborative Filtering.

Pengyang Shao|Le Wu|Kun Zhang|Defu Lian|Richang Hong|Yong Li|Meng Wang

ACM Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 5

2023

Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation.

Jie Shuai|Le Wu|Kun Zhang|Peijie Sun|Richang Hong|Meng Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

Generative-Contrastive Graph Learning for Recommendation.

Yonghui Yang|Zhengwei Wu|Le Wu|Kun Zhang|Richang Hong|Zhiqiang Zhang|Jun Zhou|Meng Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

Improving Recommendation Fairness via Data Augmentation.

Lei Chen|Le Wu|Kun Zhang|Richang Hong|Defu Lian|Zhiqiang Zhang|Jun Zhou|Meng Wang

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation.

Peijie Sun|Le Wu|Kun Zhang|Yu Su|Meng Wang

ACM Transactions on Information Systems (TOIS) 2022 Volume 40 Issue 3

A Review-aware Graph Contrastive Learning Framework for Recommendation.

Jie Shuai|Kun Zhang|Le Wu|Peijie Sun|Richang Hong|Meng Wang|Yong Li

SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.

Kai Zhang|Qi Liu|Zhenya Huang|Mingyue Cheng|Kun Zhang|Mengdi Zhang|Wei Wu|Enhong Chen

SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022

2021

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation.

Lei Chen|Le Wu|Kun Zhang|Richang Hong|Meng Wang

SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

Privileged Graph Distillation for Cold Start Recommendation.

Shuai Wang|Kun Zhang|Le Wu|Haiping Ma|Richang Hong|Meng Wang

SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization.

Yonghui Yang|Le Wu|Richang Hong|Kun Zhang|Meng Wang

SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

2020

A Joint Neural Model for User Behavior Prediction on Social Networking Platforms.

Junwei Li|Le Wu|Richang Hong|Kun Zhang|Yong Ge|Yan Li

ACM Transactions on Intelligent Systems and Technology (TIST) 2020 Volume 11 Issue 6

Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach.

Le Wu|Yonghui Yang|Kun Zhang|Richang Hong|Yanjie Fu|Meng Wang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020

Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation.

Peijie Sun|Le Wu|Kun Zhang|Yanjie Fu|Richang Hong|Meng Wang

WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020