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Fangchen Yu
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2020 – today
- 2024
- [c9]Zibin Pan, Chi Li, Fangchen Yu, Shuyi Wang, Haijin Wang, Xiaoying Tang, Junhua Zhao:
FedLF: Layer-Wise Fair Federated Learning. AAAI 2024: 14527-14535 - [c8]Fangchen Yu, Yina Xie, Lei Wu, Yafei Wen, Guozhi Wang, Shuai Ren, Xiaoxin Chen, Jianfeng Mao, Wenye Li:
DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction. WACV 2024: 654-663 - 2023
- [c7]Wenye Li, Fangchen Yu, Zichen Ma:
Metric Nearness Made Practical. AAAI 2023: 8648-8656 - [c6]Fangchen Yu, Rui Bao, Jianfeng Mao, Wenye Li:
Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction. ECAI 2023: 2914-2921 - [c5]Fangchen Yu, Zhan Shi, Yuqi Ma, Jianfeng Mao, Wenye Li:
From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values. ICONIP (11) 2023: 101-112 - [c4]Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li:
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning. NeurIPS 2023 - [c3]Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li:
Online estimation of similarity matrices with incomplete data. UAI 2023: 2454-2464 - 2022
- [c2]Wenye Li, Fangchen Yu:
Calibrating Distance Metrics Under Uncertainty. ECML/PKDD (3) 2022: 219-234 - 2021
- [c1]Changyi Ma, Fangchen Yu, Yueyao Yu, Wenye Li:
Learning Sparse Binary Code for Maximum Inner Product Search. CIKM 2021: 3308-3312
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last updated on 2024-11-15 19:31 CET by the dblp team
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