Pan, Yu

12 publications

TMLR 2025 Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang

NeurIPS 2025 Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning Zhuang Qi, Yu Pan, Lei Meng, Sijin Zhou, Han Yu, Xiaoxiao Li, Xiangxu Meng

ICLR 2025 IDInit: A Universal and Stable Initialization Method for Neural Network Training Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu

AISTATS 2025 On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang

ICML 2025 Reward Modeling with Ordinal Feedback: Wisdom of the Crowd Shang Liu, Yu Pan, Guanting Chen, Xiaocheng Li

AAAI 2025 StableVC: Style Controllable Zero-Shot Voice Conversion with Conditional Flow Matching Jixun Yao, Yuguang Yang, Yu Pan, Ziqian Ning, Jianhao Ye, Hongbin Zhou, Lei Xie

NeurIPS 2025 What Matters in Data for DPO? Yu Pan, Zhongze Cai, Huaiyang Zhong, Guanting Chen, Chonghuan Wang

AAAI 2024 Preparing Lessons for Progressive Training on Language Models Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu

NeurIPS 2023 Reusing Pretrained Models by Multi-Linear Operators for Efficient Training Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu

ICML 2022 A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks Yu Pan, Zeyong Su, Ao Liu, Wang Jingquan, Nannan Li, Zenglin Xu

AAAI 2022 Making Adversarial Examples More Transferable and Indistinguishable Junhua Zou, Yexin Duan, Boyu Li, Wu Zhang, Yu Pan, Zhisong Pan

AAAI 2019 Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu