| 2025 | ICLR | MA-RLHF: Reinforcement Learning from Human Feedback with Macro Actions. | Yekun Chai, Haoran Sun, Huang Fang, Shuohuan Wang, Yu Sun, Hua Wu |
| 2024 | EMNLP | MQuinE: a Cure for "Z-paradox" in Knowledge Graph Embedding. | Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun |
| 2024 | ICLR | Fair and Efficient Contribution Valuation for Vertical Federated Learning. | Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang |
| 2024 | ICWS | Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services. | Yang Liu, Chuan Zhou, Huang Fang, Peng Zhang, Yiling Pang, Qingzhao Zhang, Zhao Li, Hongyang Chen |
| 2023 | ICLR | Improved Convergence of Differential Private SGD with Gradient Clipping. | Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li |
| 2023 | WWW | MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rules. | Huang Fang, Yang Liu, Yunfeng Cai, Mingming Sun |
| 2022 | ICDE | Improving Fairness for Data Valuation in Horizontal Federated Learning. | Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang |
| 2021 | ICLR | Fast convergence of stochastic subgradient method under interpolation. | Huang Fang, Zhenan Fan, Michael P. Friedlander |
| 2021 | UAI | Efficient greedy coordinate descent via variable partitioning. | Huang Fang, Guanhua Fang, Tan Yu, Ping Li |
| 2020 | AISTATS | Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization. | Huang Fang, Zhenan Fan, Yifan Sun, Michael P. Friedlander |
| 2020 | ICML | Online mirror descent and dual averaging: keeping pace in the dynamic case. | Huang Fang, Nick Harvey, Victor S. Portella, Michael P. Friedlander |
| 2019 | SDM | Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization. | Huang Fang, Minhao Cheng, Cho-Jui Hsieh, Michael P. Friedlander |
| 2017 | ICDM | A Hyperplane-Based Algorithm for Semi-Supervised Dimension Reduction. | Huang Fang, Minhao Cheng, Cho-Jui Hsieh |
| 2017 | IJCAI | Improved Bounded Matrix Completion for Large-Scale Recommender Systems. | Huang Fang, Zhen Zhang, Yiqun Shao, Cho-Jui Hsieh |