Yang, Haibo

20 publications

ICLR 2025 Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang

NeurIPS 2025 Exact and Linear Convergence for Federated Learning Under Arbitrary Client Participation Is Attainable Bicheng Ying, Zhe Li, Haibo Yang

IJCAI 2025 FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, S. Sitharama Iyengar, Haibo Yang

AAAI 2025 PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization Mingjing Xu, Peizhong Ju, Jia Liu, Haibo Yang

UAI 2025 STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu

NeurIPS 2025 Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach Dandan Liang, Jianing Zhang, Evan Chen, Zhe Li, Rui Li, Haibo Yang

NeurIPSW 2024 DeComFL: Federated Learning with Dimension-Free Communication Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang

ECCV 2024 DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation Haibo Yang, Yang Chen, Yingwei Pan, Ting Yao, Zhineng Chen, Zuxuan Wu, Yu-Gang Jiang, Tao Mei

ICML 2024 Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning Tianchen Zhou, Fnu Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao

ICML 2024 Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu

CVPR 2024 VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation Yang Chen, Yingwei Pan, Haibo Yang, Ting Yao, Tao Mei

ICCVW 2023 Cross-Grained Contrastive Representation for Unsupervised Lesion Segmentation in Medical Images Ziqi Yu, Botao Zhao, Yipin Zhang, Shengjie Zhang, Xiang Chen, Haibo Yang, Tingying Peng, Xiao-Yong Zhang

NeurIPS 2023 Federated Multi-Objective Learning Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma

ICML 2022 Anarchic Federated Learning Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu

ICLR 2022 Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi To Wai, Sijia Liu

NeurIPS 2022 SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu

NeurIPS 2022 Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning Haibo Yang, Peiwen Qiu, Jia Liu

NeurIPSW 2022 With a Little Help from My Friend: Server-Aided Federated Learning with Partial Client Participation Haibo Yang, Peiwen Qiu, Prashant Khanduri, Jia Liu

ICLR 2021 Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang, Minghong Fang, Jia Liu

NeurIPS 2021 STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod Varshney