Dong, Chaosheng

12 publications

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

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

ICLR 2024 Scalable and Effective Implicit Graph Neural Networks on Large Graphs Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao

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

NeurIPSW 2023 Learning Multiobjective Program Through Online Learning Chaosheng Dong, Yijia Wang, Bo Zeng

ICML 2022 A Multi-Objective / Multi-Task Learning Framework Induced by Pareto Stationarity Michinari Momma, Chaosheng Dong, Jia Liu

ICLR 2022 Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences Tianchen Zhou, Jia Liu, Chaosheng Dong, Yi Sun

ICML 2021 Incentivized Bandit Learning with Self-Reinforcing User Preferences Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng

AAAI 2021 Wasserstein Distributionally Robust Inverse Multiobjective Optimization Chaosheng Dong, Bo Zeng

ICML 2020 Expert Learning Through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms Chaosheng Dong, Bo Zeng

NeurIPS 2018 Generalized Inverse Optimization Through Online Learning Chaosheng Dong, Yiran Chen, Bo Zeng