Design of a New Stress Wave-Based Pulse Position Modulation (PPM) Communication System with Piezoceramic Transducers. - Aiping Wu; Sihong He; Yali Ren; Ning Wang 008; Siu Chun Michael Ho; Gangbing Song (Sensors, 2019)

Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties. - Sihong He; Lynn Pepin; Guang Wang 001; Desheng Zhang; Fei Miao (IROS, 2020)

Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems. - Fei Miao; Sihong He; Lynn Pepin; Shuo Han 002; Abdeltawab M. Hendawi; Mohamed E. Khalefa; John A. Stankovic; George J. Pappas (ACM Trans. Cyber Phys. Syst., 2021)

Design of a New Stress Wave Communication Method for Underwater Communication. - Sihong He; Ning Wang 008; Michael Ho; Junxiao Zhu; Gangbing Song (IEEE Trans. Ind. Electron., 2021)

A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. - Sihong He; Yue Wang 068; Shuo Han 002; Shaofeng Zou; Fei Miao (CoRR, 2022)

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? - Songyang Han; Sanbao Su; Sihong He; Shuo Han 002; Haizhao Yang; Fei Miao (CoRR, 2022)

Robustness Evaluation of Multi-Agent Reinforcement Learning Algorithms using GNAs. - Xusheng Zhang; Wei Zhang; Yishu Gong; Liangliang Yang; Jianyu Zhang; Zhengyu Chen; Sihong He (Tiny Papers @ ICLR, 2023)

Invariant Graph Neural Network for Out-of-Distribution Nodes. - Zhengyu Chen 001; Yishu Gong; Liangliang Yang; Jianyu Zhang; Wei Zhang; Sihong He; Xusheng Zhang (ICMLC, 2023)

Uncertainty Quantification of Collaborative Detection for Self-Driving. - Sanbao Su; Yiming Li 003; Sihong He; Songyang Han; Chen Feng 002; Caiwen Ding; Fei Miao (ICRA, 2023)

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. - Sihong He; Yue Wang 068; Shuo Han 002; Shaofeng Zou; Fei Miao (IROS, 2023)

Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach. - Sihong He; Shuo Han 002; Fei Miao (IROS, 2023)

Robust Multi-Agent Reinforcement Learning with State Uncertainty. - Sihong He; Songyang Han; Sanbao Su; Shuo Han 002; Shaofeng Zou; Fei Miao (Trans. Mach. Learn. Res., 2023)

Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties. - Sihong He; Zhili Zhang; Shuo Han 002; Lynn Pepin; Guang Wang 001; Desheng Zhang; John A. Stankovic; Fei Miao (IEEE Trans. Intell. Transp. Syst., 2023)

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. - Han Wang 016; Sihong He; Zhili Zhang; Fei Miao; James Anderson 001 (ICML, 2024)

Constrained Reinforcement Learning Under Model Mismatch. - Zhongchang Sun; Sihong He; Fei Miao; Shaofeng Zou (ICML, 2024)

Policy Optimization for Robust Average Reward MDPs. - Zhongchang Sun; Sihong He; Fei Miao; Shaofeng Zou (NeurIPS, 2024)

Are Large Language Models Chameleons? - Mingmeng Geng; Sihong He; Roberto Trotta (CoRR, 2024)

Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas. - Chengyuan Deng; Yiqun Duan; Xin Jin; Heng Chang; Yijun Tian 001; Han Liu; Henry Peng Zou; Yiqiao Jin; Yijia Xiao; Yichen Wang; Shenghao Wu; Zongxing Xie; et al. (CoRR, 2024)

Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift. - Huiqun Huang; Sihong He; Fei Miao (CoRR, 2024)

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? - Songyang Han; Sanbao Su; Sihong He; Shuo Han 002; Haizhao Yang; Shaofeng Zou; Fei Miao (Trans. Mach. Learn. Res., 2024)

FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles. - Guang Wang 001; Sihong He; Lin Jiang 007; Shuai Wang 008; Fei Miao; Fan Zhang 019; Zheng Dong 002; Desheng Zhang (IEEE Trans. Mob. Comput., 2024)

CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction. - Huiqun Huang; Sihong He; Fei Miao (AAAI, 2025)

TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion. - Lihui Liu; Zihao Wang 001; Dawei Zhou 003; Ruijie Wang 004; Yuchen Yan; Bo Xiong; Sihong He; Kai Shu; Hanghang Tong (CoRR, 2025)

Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning. - Chi Zhang; Zi-Jia Wang 001; George K. Atia; Sihong He; Yue Wang 068 (CoRR, 2025)