Ding, Jiaxin

6 publications

ICML 2025 Controlling Underestimation Bias in Constrained Reinforcement Learning for Safe Exploration Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang

ICML 2025 Extreme Value Policy Optimization for Safe Reinforcement Learning Shiqing Gao, Yihang Zhou, Shuai Shao, Haoyu Luo, Yiheng Bing, Jiaxin Ding, Luoyi Fu, Xinbing Wang

ECML-PKDD 2025 Leveraging Homophily Under Local Differential Privacy for Effective Graph Neural Networks Yule Xie, Jiaxin Ding, Pengyu Xue, Xin Ding, Haochen Han, Luoyi Fu, Xinbing Wang

ICML 2025 TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration Cheng Xin, Fan Xu, Xin Ding, Jie Gao, Jiaxin Ding

IJCAI 2024 Exterior Penalty Policy Optimization with Penalty Metric Network Under Constraints Shiqing Gao, Jiaxin Ding, Luoyi Fu, Xinbing Wang, Chenghu Zhou

AAAI 2020 IPO: Interior-Point Policy Optimization Under Constraints Yongshuai Liu, Jiaxin Ding, Xin Liu