WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation. - Chao Chen 016; Dongsheng Li 002; Yingying Zhao; Qin Lv; Li Shang (SIGIR, 2015)

Low-Rank Matrix Approximation with Stability. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Junchi Yan; Li Shang; Stephen M. Chu (ICML, 2016)

MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering. - Chao Chen 016; Dongsheng Li 002; Qin Lv; Junchi Yan; Stephen M. Chu; Li Shang (IJCAI, 2016)

An algorithm for efficient privacy-preserving item-based collaborative filtering. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Li Shang; Yingying Zhao; Tun Lu; Ning Gu (Future Gener. Comput. Syst., 2016)

GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. - Chao Chen 016; Dongsheng Li 002; Qin Lv; Junchi Yan; Li Shang; Stephen M. Chu (AAAI, 2017)

ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Li Shang; Stephen M. Chu; Hongyuan Zha (AAAI, 2017)

Mixture-Rank Matrix Approximation for Collaborative Filtering. - Dongsheng Li 002; Chao Chen 016; Wei Liu 005; Tun Lu; Ning Gu; Stephen M. Chu (NIPS, 2017)

AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Hansu Gu; Tun Lu; Li Shang; Ning Gu; Stephen M. Chu (WWW, 2018)

Collaborative Filtering with Stability. - Dongsheng Li 002; Chao Chen 016; Qin Lv; Junchi Yan; Li Shang; Stephen M. Chu (CoRR, 2018)

Synergizing Local and Global Models for Matrix Approximation. - Chao Chen 016; Hao Zhang; Dongsheng Li 002; Junchi Yan; Xiaokang Yang 001 (CIKM, 2019)

Collaborative Filtering with Noisy Ratings. - Dongsheng Li 002; Chao Chen 016; Zhilin Gong; Tun Lu; Stephen M. Chu; Ning Gu (SDM, 2019)

Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning. - Chao Chen 016; Dongsheng Li 002; Junchi Yan; Hanchi Huang; Xiaokang Yang 001 (AAAI, 2021)

Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. - Chao Chen 016; Haoyu Geng; Nianzu Yang; Junchi Yan; Daiyue Xue; Jianping Yu; Xiaokang Yang 001 (ICML, 2021)

NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering. - Dongsheng Li 002; Haodong Liu; Chao Chen 016; Yingying Zhao; Stephen M. Chu; Bo Yang 011 (ACM Trans. Knowl. Discov. Data, 2021)

Mixture Matrix Approximation for Collaborative Filtering. - Dongsheng Li 002; Chao Chen 016; Tun Lu; Stephen M. Chu; Ning Gu (IEEE Trans. Knowl. Data Eng., 2021)

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. - Chao Chen 016; Dongsheng Li 002; Junchi Yan; Xiaokang Yang 001 (IEEE Trans. Knowl. Data Eng., 2022)

Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution. - Chao Chen 016; Haoyu Geng; Gang Zeng; Zhaobing Han; Hua Chai; Xiaokang Yang 001; Junchi Yan (ICLR, 2023)

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. - Haoyu Geng; Chao Chen 016; Yixuan He; Gang Zeng; Zhaobing Han; Hua Chai; Junchi Yan (KDD, 2023)

Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation. - Jiahao Liu; Yiyang Shao; Peng Zhang 060; Dongsheng Li 002; Hansu Gu; Chao Chen 016; Longzhi Du; Tun Lu; Ning Gu (CoRR, 2024)

EasyDGL: Encode, Train and Interpret for Continuous-Time Dynamic Graph Learning. - Chao Chen 016; Haoyu Geng; Nianzu Yang; Xiaokang Yang 001; Junchi Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Filtering Discomforting Recommendations with Large Language Models. - Jiahao Liu; Yiyang Shao; Peng Zhang 060; Dongsheng Li 002; Hansu Gu; Chao Chen 016; Longzhi Du; Tun Lu; Ning Gu (WWW, 2025)