Sihong He

Orcid: 0000-0002-0464-5696

According to our database1, Sihong He authored at least 20 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles.
IEEE Trans. Mob. Comput., June, 2024

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
Trans. Mach. Learn. Res., 2024

Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift.
CoRR, 2024

Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas.
CoRR, 2024

Are Large Language Models Chameleons?
CoRR, 2024

Constrained Reinforcement Learning Under Model Mismatch.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties.
IEEE Trans. Intell. Transp. Syst., May, 2023

Robust Multi-Agent Reinforcement Learning with State Uncertainty.
Trans. Mach. Learn. Res., 2023

Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach.
IROS, 2023

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems.
IROS, 2023

Uncertainty Quantification of Collaborative Detection for Self-Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Invariant Graph Neural Network for Out-of-Distribution Nodes.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

Robustness Evaluation of Multi-Agent Reinforcement Learning Algorithms using GNAs.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
CoRR, 2022

A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems.
CoRR, 2022

2021
Design of a New Stress Wave Communication Method for Underwater Communication.
IEEE Trans. Ind. Electron., 2021

Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems.
ACM Trans. Cyber Phys. Syst., 2021

2020
Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Design of a New Stress Wave-Based Pulse Position Modulation (PPM) Communication System with Piezoceramic Transducers.
Sensors, 2019


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