Fei Wang

According to our database, Fei Wang authored at least 12 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems.

Hyunsik Yoo, SeongKu Kang, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Generalizable Recommender System During Temporal Popularity Distribution Shifts.

Hyunsik Yoo, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation.

Xinyu He, Jose Sepulveda, Mostafa Rahmani, Alyssa Woo, Fei Wang, Hanghang Tong

CoRR, 2024

Ensuring User-side Fairness in Dynamic Recommender Systems.

Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong

Proceedings of the ACM on Web Conference 2024, 2024

On the Sensitivity of Individual Fairness: Measures and Robust Algorithms.

Xinyu He, Jian Kang, Ruizhong Qiu, Fei Wang, Jose Sepulveda, Hanghang Tong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Conversational Question Answering with Reformulations over Knowledge Graph.

Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong

CoRR, 2023

Ensuring User-side Fairness in Dynamic Recommender Systems.

Hyunsik Yoo, Zhichen Zeng, Jian Kang, Zhining Liu, David Zhou, Fei Wang, Eunice Chan, Hanghang Tong

CoRR, 2023

Automated Data Denoising for Recommendation.

Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, James Caverlee, Fei Wang

CoRR, 2023

Neural Multi-network Diffusion towards Social Recommendation.

Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong

CoRR, 2023

Incorporating Time in Sequential Recommendation Models.

Mostafa Rahmani, James Caverlee, Fei Wang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Trending Now: Modeling Trend Recommendations.

Hao Ding, Branislav Kveton, Yifei Ma, Youngsuk Park, Venkataramana Kini, Yupeng Gu, Ravi Divvela, Fei Wang, Anoop Deoras, Hao Wang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Geometric Matrix Completion via Sylvester Multi-Graph Neural Network.

Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023