Yu, Fangchen

7 publications

ICML 2025 UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance Fangchen Yu, Yanzhen Chen, Jiaxing Wei, Jianfeng Mao, Wenye Li, Qiang Sun

WACV 2024 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

AAAI 2024 FedLF: Layer-Wise Fair Federated Learning Zibin Pan, Chi Li, Fangchen Yu, Shuyi Wang, Haijin Wang, Xiaoying Tang, Junhua Zhao

NeurIPS 2023 Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li

AAAI 2023 Metric Nearness Made Practical Wenye Li, Fangchen Yu, Zichen Ma

UAI 2023 Online Estimation of Similarity Matrices with Incomplete Data Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li

ECML-PKDD 2022 Calibrating Distance Metrics Under Uncertainty Wenye Li, Fangchen Yu