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2020 – today
- 2024
[j7]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): 6785-6802 (2024)- [j6]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) - [c8]Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson:
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. ICML 2024 - [c7]Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou:
Constrained Reinforcement Learning Under Model Mismatch. ICML 2024 - [i12]Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou:
Constrained Reinforcement Learning Under Model Mismatch. CoRR abs/2405.01327 (2024) - [i11]Mingmeng Geng, Sihong He, Roberto Trotta:
Are Large Language Models Chameleons? CoRR abs/2405.19323 (2024) - [i10]Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson:
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. CoRR abs/2405.19499 (2024) - [i9]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 abs/2406.05392 (2024) - [i8]Huiqun Huang, Sihong He, Fei Miao:
Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift. CoRR abs/2406.12100 (2024) - 2023
- [j5]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): 5199-5215 (2023) - [j4]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) - [c6]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 - [c5]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: 192-196 - [c4]Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao:
Uncertainty Quantification of Collaborative Detection for Self-Driving. ICRA 2023: 5588-5594 - [c3]Sihong He, Shuo Han, Fei Miao:
Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach. IROS 2023: 5471-5478 - [c2]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: 5637-5644 - [i7]Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao:
Robust Multi-Agent Reinforcement Learning with State Uncertainty. CoRR abs/2307.16212 (2023) - [i6]Sihong He, Shuo Han, Fei Miao:
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach. CoRR abs/2307.16228 (2023) - 2022
- [i5]Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao:
Uncertainty Quantification of Collaborative Detection for Self-Driving. CoRR abs/2209.08162 (2022) - [i4]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 abs/2209.08230 (2022) - [i3]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 abs/2210.10887 (2022) - [i2]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 abs/2211.13797 (2022) - [i1]Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao:
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? CoRR abs/2212.02705 (2022) - 2021
- [j3]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): 17:1-17:27 (2021) - [j2]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): 7370-7379 (2021) - 2020
- [c1]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: 2165-2172
2010 – 2019
- 2019
- [j1]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): 558 (2019)
Coauthor Index
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