Fang, Huang

10 publications

ICLR 2025 MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, Hua Wu

ICLR 2024 Fair and Efficient Contribution Valuation for Vertical Federated Learning Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael Friedlander, Yong Zhang

NeurIPS 2023 Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs Chen Shengyuan, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun

ICLR 2023 Improved Convergence of Differential Private SGD with Gradient Clipping Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li

JMLR 2022 Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case Huang Fang, Nicholas J. A. Harvey, Victor S. Portella, Michael P. Friedlander

UAI 2021 Efficient Greedy Coordinate Descent via Variable Partitioning Huang Fang, Guanhua Fang, Tan Yu, Ping Li

ICLR 2021 Fast Convergence of Stochastic Subgradient Method Under Interpolation Huang Fang, Zhenan Fan, Michael Friedlander

AISTATS 2020 Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization Huang Fang, Zhenan Fan, Yifan Sun, Michael Friedlander

ICML 2020 Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case Huang Fang, Nick Harvey, Victor Portella, Michael Friedlander

IJCAI 2017 Improved Bounded Matrix Completion for Large-Scale Recommender Systems Huang Fang, Zhen Zhang, Yiqun Shao, Cho-Jui Hsieh