| 2025 | ICML | UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance. | Fangchen Yu, Yanzhen Chen, Jiaxing Wei, Jianfeng Mao, Wenye Li, Qiang Sun |
| 2025 | WWW | A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective. | Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li |
| 2024 | AAAI | FedLF: Layer-Wise Fair Federated Learning. | Zibin Pan, Chi Li, Fangchen Yu, Shuyi Wang, Haijin Wang, Xiaoying Tang, Junhua Zhao |
| 2024 | WACV | DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction. | Fangchen Yu, Yina Xie, Lei Wu, Yafei Wen, Guozhi Wang, Shuai Ren, Xiaoxin Chen, Jianfeng Mao, Wenye Li |
| 2023 | AAAI | Metric Nearness Made Practical. | Wenye Li, Fangchen Yu, Zichen Ma |
| 2023 | ECAI | Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction. | Fangchen Yu, Rui Bao, Jianfeng Mao, Wenye Li |
| 2023 | ICONIP | From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values. | Fangchen Yu, Zhan Shi, Yuqi Ma, Jianfeng Mao, Wenye Li |
| 2023 | UAI | Online estimation of similarity matrices with incomplete data. | Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li |
| 2021 | CIKM | Learning Sparse Binary Code for Maximum Inner Product Search. | Changyi Ma, Fangchen Yu, Yueyao Yu, Wenye Li |