Sihong He - RankMe

34 papers A* 6A 4Misc 1Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction. AAAI Huiqun Huang, Sihong He, Fei Miao
2025	J	`jnl`	Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey. AI Ethics Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Yichen Wang, Kuofeng Gao, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Shenghao Wu, Zongxing Xie, Weimin Lyu, Sihong He, Lu Cheng, Haohan Wang, Jun Zhuang
2025	A	`conf`	Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks. CIKM Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Hanghang Tong
2025	A*	`conf`	Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning. ICML Chi Zhang, Ziying Jia, George K. Atia, Sihong He, Yue Wang
2025	J	`jnl`	Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning. CoRR Chi Zhang, Zi-Jia Wang, George K. Atia, Sihong He, Yue Wang
2025	J	`jnl`	TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion. CoRR Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Kai Shu, Hanghang Tong
2024	J	`jnl`	Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift. CoRR Huiqun Huang, Sihong He, Fei Miao
2024	J	`jnl`	Are Large Language Models Chameleons? CoRR Mingmeng Geng, Sihong He, Roberto Trotta
2024	A*	`conf`	Constrained Reinforcement Learning Under Model Mismatch. ICML Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
2024	J	`jnl`	Constrained Reinforcement Learning Under Model Mismatch. CoRR Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
2024	J	`jnl`	Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas. CoRR 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
2024	J	`jnl`	FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles. IEEE Trans. Mob. Comput. Guang Wang, Sihong He, Lin Jiang, Shuai Wang, Fei Miao, Fan Zhang, Zheng Dong, Desheng Zhang
2024	A*	`conf`	Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. ICML Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson
2024	J	`jnl`	Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. CoRR Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson
2024	A*	`conf`	Policy Optimization for Robust Average Reward MDPs. NeurIPS Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
2024	J	`jnl`	What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Trans. Mach. Learn. Res. Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao
2023	A	`conf`	A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. IROS Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
2023	J	`jnl`	Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties. IEEE Trans. Intell. Transp. Syst. Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John A. Stankovic, Fei Miao
2023	Misc	`conf`	Invariant Graph Neural Network for Out-of-Distribution Nodes. ICMLC Zhengyu Chen, Yishu Gong, Liangliang Yang, Jianyu Zhang, Wei Zhang, Sihong He, Xusheng Zhang
2023	J	`jnl`	Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach. CoRR Sihong He, Shuo Han, Fei Miao
2023	A	`conf`	Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach. IROS Sihong He, Shuo Han, Fei Miao
2023	J	`jnl`	Robust Multi-Agent Reinforcement Learning with State Uncertainty. CoRR Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
2023	J	`jnl`	Robust Multi-Agent Reinforcement Learning with State Uncertainty. Trans. Mach. Learn. Res. Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
2023	—	`conf`	Robustness Evaluation of Multi-Agent Reinforcement Learning Algorithms using GNAs. Tiny Papers @ ICLR Xusheng Zhang, Wei Zhang, Yishu Gong, Liangliang Yang, Jianyu Zhang, Zhengyu Chen, Sihong He
2023	A*	`conf`	Uncertainty Quantification of Collaborative Detection for Self-Driving. ICRA Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao
2022	J	`jnl`	A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. CoRR Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
2022	J	`jnl`	Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties. CoRR Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John A. Stankovic, Fei Miao
2022	J	`jnl`	Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties. CoRR Sihong He, Lynn Pepin, Guang Wang, Desheng Zhang, Fei Miao
2022	J	`jnl`	Uncertainty Quantification of Collaborative Detection for Self-Driving. CoRR Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao
2022	J	`jnl`	What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? CoRR Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao
2021	J	`jnl`	Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems. ACM Trans. Cyber Phys. Syst. Fei Miao, Sihong He, Lynn Pepin, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, George J. Pappas
2021	J	`jnl`	Design of a New Stress Wave Communication Method for Underwater Communication. IEEE Trans. Ind. Electron. Sihong He, Ning Wang, Michael Ho, Junxiao Zhu, Gangbing Song
2020	A	`conf`	Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties. IROS Sihong He, Lynn Pepin, Guang Wang, Desheng Zhang, Fei Miao
2019	J	`jnl`	Design of a New Stress Wave-Based Pulse Position Modulation (PPM) Communication System with Piezoceramic Transducers. Sensors Aiping Wu, Sihong He, Yali Ren, Ning Wang, Siu Chun Michael Ho, Gangbing Song