Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. - Boxin Du; Changhe Yuan; Fei Wang 065; Hanghang Tong (CIKM, 2023)

Trending Now: Modeling Trend Recommendations. - Hao Ding 003; Branislav Kveton; Yifei Ma; Youngsuk Park; Venkataramana Kini; Yupeng Gu; Ravi Divvela; Fei Wang 065; Anoop Deoras; Hao Wang 014 (RecSys, 2023)

Incorporating Time in Sequential Recommendation Models. - Mostafa Rahmani; James Caverlee; Fei Wang 065 (RecSys, 2023)

Neural Multi-network Diffusion towards Social Recommendation. - Boxin Du; Lihui Liu; Jiejun Xu; Fei Wang 065; Hanghang Tong (CoRR, 2023)

Automated Data Denoising for Recommendation. - Yingqiang Ge; Mostafa Rahmani; Athirai A. Irissappane; Jose Sepulveda; James Caverlee; Fei Wang 065 (CoRR, 2023)

Ensuring User-side Fairness in Dynamic Recommender Systems. - Hyunsik Yoo; Zhichen Zeng 001; Jian Kang 008; Zhining Liu 002; David Zhou; Fei Wang 065; Eunice Chan; Hanghang Tong (CoRR, 2023)

Conversational Question Answering with Reformulations over Knowledge Graph. - Lihui Liu; Blaine Hill; Boxin Du; Fei Wang 065; Hanghang Tong (CoRR, 2023)

On the Sensitivity of Individual Fairness: Measures and Robust Algorithms. - Xinyu He 003; Jian Kang 008; Ruizhong Qiu; Fei Wang 065; Jose Sepulveda; Hanghang Tong (CIKM, 2024)

Ensuring User-side Fairness in Dynamic Recommender Systems. - Hyunsik Yoo; Zhichen Zeng 001; Jian Kang 008; Ruizhong Qiu; David Zhou; Zhining Liu 002; Fei Wang 065; Charlie Xu; Eunice Chan; Hanghang Tong (WWW, 2024)

DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation. - Xinyu He 003; Jose Sepulveda; Mostafa Rahmani; Alyssa Woo; Fei Wang 065; Hanghang Tong (CoRR, 2024)

Generalizable Recommender System During Temporal Popularity Distribution Shifts. - Hyunsik Yoo; Ruizhong Qiu; Charlie Xu; Fei Wang 065; Hanghang Tong (KDD (1), 2025)

Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems. - Hyunsik Yoo; SeongKu Kang; Ruizhong Qiu; Charlie Xu; Fei Wang 065; Hanghang Tong (SIGIR, 2025)