| Uncertainty quantification of collaborative detection for self-driving S Su, Y Li, S He, S Han, C Feng, C Ding, F Miao 2023 IEEE International Conference on Robotics and Automation (ICRA), 5588-5594, 2023 | 43 | 2023 |
| Robust multi-agent reinforcement learning with state uncertainty S He, S Han, S Su, S Han, S Zou, F Miao Transactions on Machine Learning Research (TMLR), 2023 | 36 | 2023 |
| A robust and constrained multi-agent reinforcement learning framework for electric vehicle amod systems S He, Y Wang, S Han, S Zou, F Miao dynamics 8, 10, 2022 | 29 | 2022 |
| Data-driven distributionally robust electric vehicle balancing for autonomous mobility-on-demand systems under demand and supply uncertainties S He, Z Zhang, S Han, L Pepin, G Wang, D Zhang, JA Stankovic, F Miao IEEE Transactions on Intelligent Transportation Systems (TITS) 24 (5), 5199-5215, 2023 | 27 | 2023 |
| What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? S Han, S Su, S He, S Han, H Yang, S Zou, F Miao Transactions on Machine Learning Research (TMLR), 2024 | 24 | 2024 |
| Data-driven distributionally robust optimization for vehicle balancing of mobility-on-demand systems F Miao, S He, L Pepin, S Han, A Hendawi, ME Khalefa, JA Stankovic, ... ACM Transactions on Cyber-Physical Systems (TCPS) 5 (2), 1-27, 2021 | 23 | 2021 |
| Data-driven distributionally robust electric vehicle balancing for mobility-on-demand systems under demand and supply uncertainties S He, L Pepin, G Wang, D Zhang, F Miao 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 23 | 2020 |
| Robust electric vehicle balancing of autonomous mobility-on-demand system: A multi-agent reinforcement learning approach S He, S Han, F Miao 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 10 | 2023 |
| A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems S He, Y Wang, S Han, S Zou, F Miao 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 6 | 2023 |
| Invariant Graph Neural Network for Out-of-Distribution Nodes Z Chen, Y Gong, L Yang, J Zhang, W Zhang, S He, X Zhang Proceedings of the 2023 15th International Conference on Machine Learning …, 2023 | 4 | 2023 |
| Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas C Deng, Y Duan, X Jin, H Chang, Y Tian, H Liu, HP Zou, Y Jin, Y Xiao, ... arXiv preprint arXiv:2406.05392, 2024 | 3 | 2024 |
| Constrained Reinforcement Learning Under Model Mismatch Z Sun, S He, F Miao, S Zou International Conference on Machine Learning (ICML), 2024 | 3 | 2024 |
| Are Large Language Models Chameleons? M Geng, S He, R Trotta arXiv preprint arXiv:2405.19323 (2024), 2024 | 3 | 2024 |
| Robust multi-agent reinforcement learning with state uncertainties S He, S Han, S Su, S Han, S Zou, F Miao arXiv preprint arXiv:2307.16212 (2023), 2023 | 3 | 2023 |
| Using Speech Emotion Recognition as a Longitudinal Biomarker for Alzheimer’s Disease Y Gong, L Yang, J Zhang, Z Chen, S He, X Zhang, W Zhang International Journal of Biomedical and Biological Engineering 17 (11), 267-272, 2023 | 2 | 2023 |
| Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift H Huang, S He, F Miao IJCAL, AI4TS workshop (best paper award ), 2024 | 1 | 2024 |
| Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments H Wang, S He, Z Zhang, F Miao, J Anderson International Conference on Machine Learning (ICML), 2024 | 1 | 2024 |
| A ROBUST AND CONSTRAINED MULTI-AGENT REINFORCEMENT LEARNING METHOD FOR ELECTRIC VE-HICLE REBALANCING IN AMOD SYSTEMS S He, Y Wang, S Han, S Zou, F Miao International Conference on Learning Representations (ICLR), AI4ABM Workshop, 2023 | 1 | 2023 |
| Robustness evaluation of multi-agent reinforcement learning algorithms using gnas X Zhang, W Zhang, Y Gong, L Yang, J Zhang, Z Chen, S He International Conference on Learning Representations (ICLR), Tiny paper track, 2023 | 1 | 2023 |
| Are Large Language Models Chameleons? G Mingmeng, S He, R Trotta ICML 2024 Workshop on LLMs and Cognition, 2024 | | 2024 |
Fei MiaoPratt & Whitney Associate Professor, Computer Science and Engineering, University of Connecticut在 uconn.edu 的电子邮件经过验证
