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2020 – today
- 2026
[i6]Yun Luo, Futing Wang, Qianjia Cheng, Fangchen Yu, Haodi Lei, Jianhao Yan, Chenxi Li, Jiacheng Chen, Yufeng Zhao, Haiyuan Wan, Yuchen Zhang, Shenghe Zheng, Junchi Yao, Qingyang Zhang, Haonan He, Wenxuan Zeng, Li Sheng, Chengxing Xie, Yuxin Zuo, Yizhuo Li
, Yulun Wu, Rui Huang, Dongzhan Zhou, Kai Chen, Yu Qiao, Lei Bai, Yu Cheng, Ning Ding, Bowen Zhou, Peng Ye, Ganqu Cui:
P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads. CoRR abs/2602.09443 (2026)- 2025
- [j1]Zibin Pan, Chi Li, Fangchen Yu, Shuyi Wang, Xiaoying Tang, Junhua Zhao:
Balancing the trade-off between global and personalized performance in federated learning. Inf. Sci. 712: 122154 (2025) - [c11]Fangchen Yu, Yanzhen Chen, Jiaxing Wei, Jianfeng Mao, Wenye Li, Qiang Sun:
UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance. ICML 2025 - [c10]Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li:
A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective. WWW 2025: 4077-4088 - [i5]Fangchen Yu, Ruilizhen Hu, Yidong Lin, Yuqi Ma, Zhenghao Huang, Wenye Li:
KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning. CoRR abs/2501.00420 (2025) - [i4]Fangchen Yu, Haiyuan Wan, Qianjia Cheng, Yuchen Zhang, Jiacheng Chen, Fujun Han, Yulun Wu, Junchi Yao, Ruilizhen Hu, Ning Ding, Yu Cheng, Tao Chen, Lei Bai, Dongzhan Zhou, Yun Luo, Ganqu Cui, Peng Ye:
HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark? CoRR abs/2509.07894 (2025) - [i3]Shenghe Zheng, Chenyu Huang, Fangchen Yu, Junchi Yao, Jingqi Ye, Tao Chen, Yun Luo, Ning Ding, Lei Bai, Ganqu Cui, Peng Ye:
SCI-Verifier: Scientific Verifier with Thinking. CoRR abs/2509.24285 (2025) - [i2]Fangchen Yu, Junchi Yao, Ziyi Wang, Haiyuan Wan, Youling Huang, Bo Zhang, Shuyue Hu, Dongzhan Zhou, Ning Ding, Ganqu Cui, Lei Bai, Wanli Ouyang, Peng Ye:
PhysicsMinions: Winning Gold Medals in the Latest Physics Olympiads with a Coevolutionary Multimodal Multi-Agent System. CoRR abs/2509.24855 (2025) - [i1]Jiacheng Chen, Qianjia Cheng, Fangchen Yu, Haiyuan Wan, Yuchen Zhang, Shenghe Zheng, Junchi Yao, Qingyang Zhang, Haonan He, Yun Luo, Yufeng Zhao, Futing Wang, Li Sheng, Chengxing Xie, Yuxin Zuo, Yizhuo Li, Wenxauan Zeng, Yulun Wu, Rui Huang, Dongzhan Zhou, Kai Chen, Yu Qiao, Lei Bai, Yu Cheng, Ning Ding, Bowen Zhou, Peng Ye, Ganqu Cui:
P1: Mastering Physics Olympiads with Reinforcement Learning. CoRR abs/2511.13612 (2025) - 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
Coauthor Index
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