Sihong He

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Eligibility Traces

Reinforcement Learning

Multi Agent Reinforcement Learning

Stochastic Games

Top Venues

Trans. Mach. Learn. Res.

Publications

Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Trans. Mach. Learn. Res. 2024 (2024)
Mingmeng Geng, Sihong He, Roberto Trotta
Are Large Language Models Chameleons? CoRR (2024)
Guang Wang, Sihong He, Lin Jiang, Shuai Wang, Fei Miao, Fan Zhang, Zheng Dong, Desheng Zhang
FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles. IEEE Trans. Mob. Comput. 23 (6) (2024)
Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Yichen Wang, Shenghao Wu, Zongxing Xie, Kuofeng Gao, Sihong He, Jun Zhuang, Lu Cheng, Haohan Wang
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas. CoRR (2024)
Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. CoRR (2024)
Huiqun Huang, Sihong He, Fei Miao
Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift. CoRR (2024)
Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
Constrained Reinforcement Learning Under Model Mismatch. CoRR (2024)
Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. IROS (2023)
Sihong He, Shuo Han, Fei Miao
Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach. IROS (2023)
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
Robust Multi-Agent Reinforcement Learning with State Uncertainty. Trans. Mach. Learn. Res. 2023 (2023)
Zhengyu Chen, Yishu Gong, Liangliang Yang, Jianyu Zhang, Wei Zhang, Sihong He, Xusheng Zhang
Invariant Graph Neural Network for Out-of-Distribution Nodes. ICMLC (2023)
Sihong He, Shuo Han, Fei Miao
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach. CoRR (2023)
Xusheng Zhang, Wei Zhang, Yishu Gong, Liangliang Yang, Jianyu Zhang, Zhengyu Chen, Sihong He
Robustness Evaluation of Multi-Agent Reinforcement Learning Algorithms using GNAs. Tiny Papers @ ICLR (2023)
Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao
Uncertainty Quantification of Collaborative Detection for Self-Driving. ICRA (2023)
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
Robust Multi-Agent Reinforcement Learning with State Uncertainty. CoRR (2023)
Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John A. Stankovic, Fei Miao
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties. IEEE Trans. Intell. Transp. Syst. 24 (5) (2023)
Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao
Uncertainty Quantification of Collaborative Detection for Self-Driving. CoRR (2022)
Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John A. Stankovic, Fei Miao
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties. CoRR (2022)
Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. CoRR (2022)
Sihong He, Lynn Pepin, Guang Wang, Desheng Zhang, Fei Miao
Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties. CoRR (2022)
Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? CoRR (2022)
Sihong He, Ning Wang, Michael Ho, Junxiao Zhu, Gangbing Song
Design of a New Stress Wave Communication Method for Underwater Communication. IEEE Trans. Ind. Electron. 68 (8) (2021)
Fei Miao, Sihong He, Lynn Pepin, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, George J. Pappas
Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems. ACM Trans. Cyber Phys. Syst. 5 (2) (2021)
Sihong He, Lynn Pepin, Guang Wang, Desheng Zhang, Fei Miao
Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties. IROS (2020)
Aiping Wu, Sihong He, Yali Ren, Ning Wang, Siu Chun Michael Ho, Gangbing Song
Design of a New Stress Wave-Based Pulse Position Modulation (PPM) Communication System with Piezoceramic Transducers. Sensors 19 (3) (2019)