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2020 – today
- 2024
[j4]Songyang Han
, Shanglin Zhou, Jiangwei Wang, Lynn Pepin, Caiwen Ding, Jie Fu, Fei Miao:
A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 25(5): 3654-3670 (2024)- 2023
- [j3]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) - [j2]Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding:
Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning. ACM Trans. Design Autom. Electr. Syst. 28(6): 102:1-102:19 (2023) - [i6]Songyang Han, Shanglin Zhou, Lynn Pepin, Jiangwei Wang, Caiwen Ding, Fei Miao:
Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles. CoRR abs/2302.04321 (2023) - [i5]Shanglin Zhou, Mikhail A. Bragin, Lynn Pepin, Deniz Gurevin, Fei Miao, Caiwen Ding:
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning. CoRR abs/2304.04120 (2023) - 2022
- [i4]Lynn Pepin, Lizhi Wang, Jiangwei Wang, Songyang Han, Pranav Pishawikar, Amir Herzberg, Peng Zhang, Fei Miao:
Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid. CoRR abs/2203.10158 (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) - 2021
- [j1]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) - [c2]Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao:
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation. IJCAI 2021: 2497-2504 - 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 - [i1]Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao:
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks. CoRR abs/2012.10079 (2020)
Coauthor Index
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