For the most up-to-date and complete list of publications, please refer to Google Scholar.

Journal Articles

α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction
Sanbao Su, Nuo Chen, Felix Juefei-Xu, Chen Feng, and Fei Miao.
Transactions on Machine Learning Research (TMLR), Apr. 2026.
[bib] [Link]

@article{su2026occ,
  title={α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction},
  author={Sanbao Su and Nuo Chen and Felix Juefei-Xu and Chen Feng and Fei Miao},
  journal={Transactions on Machine Learning Research (TMLR)},
  year={2026},
  url={https://openreview.net/forum?id=bUv25gBLlV}
}

Solving Constrained Optimization Problems Using Hybrid Qubit-Qumode Quantum Devices
Rishab Dutta, Brandon Allen, Chuzhi Xu, Nam P. Vu, Kun Liu, Fei Miao, Bing Wang, Amit Surana, Chen Wang, Yongshan Ding, and Victor S. Batista.
Journal of Chemical Theory and Computation, 22(10): 5073–5089, 2026.
[bib] [Link]

@article{dutta2026solving,
  title={Solving Constrained Optimization Problems Using Hybrid Qubit-Qumode Quantum Devices},
  author={Rishab Dutta and Brandon Allen and Chuzhi Xu and Nam P. Vu and Kun Liu and Fei Miao and Bing Wang and Amit Surana and Chen Wang and Yongshan Ding and Victor S. Batista},
  journal={Journal of Chemical Theory and Computation},
  volume={22},
  number={10},
  pages={5073--5089},
  year={2026},
  publisher={ACS Publications},
  doi={10.1021/acs.jctc.5c00526},
  url={https://pubs.acs.org/doi/10.1021/acs.jctc.5c00526}
}

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, and Fei Miao.
Transactions on Machine Learning Research (TMLR), Jan. 2024.
[bib] [Link] [GitHub]

@article{han2024what,
  title={What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?},
  author={Songyang Han and Sanbao Su and Sihong He and Shuo Han and Haizhao Yang and Shaofeng Zou and Fei Miao},
  journal={Transactions on Machine Learning Research (TMLR)},
  year={2024},
  url={https://openreview.net/forum?id=HyqSwNhM3x}
}

Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
Sanbao Su, Songyang Han, Yiming Li, Zhili Zhang, Chen Feng, Caiwen Ding, and Fei Miao.
IEEE Robotics and Automation Letters (RA-L), 9(4): 3323–3330, Apr. 2024.
[bib] [Link]

@article{su2024collaborat,
  title={Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation},
  author={Sanbao Su and Songyang Han and Yiming Li and Zhili Zhang and Chen Feng and Caiwen Ding and Fei Miao},
  journal={IEEE Robotics and Automation Letters (RA-L)},
  volume={9},
  number={4},
  pages={3323–3330},
  year={2024},
  url={https://ieeexplore.ieee.org/document/10430224}
}

Adaptive Deep Reinforcement Learning Algorithm for Distribution System Cyber Attack Defense with High Penetration of DERs
Alaa Selim, Junbo Zhao, Fei Ding, Fei Miao, and Sung-Yeul Park.
IEEE Transactions on Smart Grid, Dec. 2023.
[bib] [Link]

@article{selim2023adaptive,
  title={Adaptive Deep Reinforcement Learning Algorithm for Distribution System Cyber Attack Defense with High Penetration of DERs},
  author={Alaa Selim and Junbo Zhao and Fei Ding and Fei Miao and Sung-Yeul Park},
  journal={IEEE Transactions on Smart Grid},
  year={2023},
  url={https://ieeexplore.ieee.org/document/10368040}
}

A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles
Songyang Han, Shanglin Zhou, Lynn Pepin, Jiangwei Wang, Caiwen Ding, Jie Fu, and Fei Miao.
IEEE Transactions on Intelligent Transportation Systems, 25(5): 3654–3670, Dec. 2023.
[bib] [Link]

@article{han2023a,
  title={A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles},
  author={Songyang Han and Shanglin Zhou and Lynn Pepin and Jiangwei Wang and Caiwen Ding and Jie Fu and Fei Miao},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  volume={25},
  number={5},
  pages={3654–3670},
  year={2023},
  url={https://ieeexplore.ieee.org/document/10367764}
}

FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles
Guang Wang, Sihong He, Shuai Wang, Fei Miao, Fan Zhang, Zheng Dong, and Desheng Zhang.
IEEE Transactions on Mobile Computing, 23(6): 6785–6802, 2023.
[bib] [Link]

@article{wang2023fairmove,
  title={FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles},
  author={Guang Wang and Sihong He and Shuai Wang and Fei Miao and Fan Zhang and Zheng Dong and Desheng Zhang},
  journal={IEEE Transactions on Mobile Computing},
  volume={23},
  number={6},
  pages={6785–6802},
  year={2023},
  url={https://ieeexplore.ieee.org/abstract/document/10290930}
}

Surrogate Lagrangian Relaxation: A Path to Retrain-free Deep Neural Network Pruning
Shanglin Zhou, Mikhail Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, and Caiwen Ding.
ACM Transactions on Design Automation of Electronic Systems (TODAES), Sep. 2023.
[bib] [Link]

@article{zhou2023surrogate,
  title={Surrogate Lagrangian Relaxation: A Path to Retrain-free Deep Neural Network Pruning},
  author={Shanglin Zhou and Mikhail Bragin and Deniz Gurevin and Lynn Pepin and Fei Miao and Caiwen Ding},
  journal={ACM Transactions on Design Automation of Electronic Systems (TODAES)},
  year={2023},
  doi={10.1145/3624476},
  url={https://dl.acm.org/doi/10.1145/3624476}
}

Robust Multi-Agent Reinforcement Learning with Adversarial State Uncertainties
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, and Fei Miao.
Transactions on Machine Learning Research (TMLR), 2023.
[bib] [Link]

@article{he2023robust,
  title={Robust Multi-Agent Reinforcement Learning with Adversarial State Uncertainties},
  author={Sihong He and Songyang Han and Sanbao Su and Shuo Han and Shaofeng Zou and Fei Miao},
  journal={Transactions on Machine Learning Research (TMLR)},
  year={2023},
  url={https://openreview.net/forum?id=CqTkapZ6H9}
}

Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing
Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, and Fei Miao.
ACM Transactions on Cyber-Physical Systems (TCPS), 2023.
[bib] [Link]

@article{wang2023towards,
  title={Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing},
  author={Jiangwei Wang and Lili Su and Songyang Han and Dongjin Song and Fei Miao},
  journal={ACM Transactions on Cyber-Physical Systems (TCPS)},
  year={2023},
  doi={10.1145/3616398},
  url={https://dl.acm.org/doi/10.1145/3616398}
}

Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties
Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John Stankovic, and Fei Miao.
IEEE Transactions on Intelligent Transportation Systems, 24(5): 5199–5215, May 2023.
[bib] [Link]

@article{he2023datadriven,
  title={Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties},
  author={Sihong He and Zhili Zhang and Shuo Han and Lynn Pepin and Guang Wang and Desheng Zhang and John Stankovic and Fei Miao},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  volume={24},
  number={5},
  pages={5199–5215},
  year={2023},
  url={https://arxiv.org/abs/2211.13797}
}

DeResolver: A Decentralized Negotiation and Conflict Resolution Framework for Smart City Services
Yukun Yuan, Meiyi Ma, Songyang Han, Jack Stankovic, Desheng Zhang, Fei Miao, and Shan Lin.
ACM Transactions on Cyber-Physical Systems (TCPS), 6(4): Article 29, Nov. 2022.
[bib] [Link]

@article{yuan2022deresolver,
  title={DeResolver: A Decentralized Negotiation and Conflict Resolution Framework for Smart City Services},
  author={Yukun Yuan and Meiyi Ma and Songyang Han and Jack Stankovic and Desheng Zhang and Fei Miao and Shan Lin},
  journal={ACM Transactions on Cyber-Physical Systems (TCPS)},
  year={2022},
  doi={10.1145/3529096},
  url={https://dl.acm.org/doi/10.1145/3529096}
}

eRoute: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems under Disruptive Events
Yukun Yuan, Desheng Zhang, Fei Miao, John A. Stankovic, Tian He, George J. Pappas, and Shan Lin.
IEEE Transactions on Mobile Computing, June 2021.
[bib] [Link]

@article{yuan2021eroute,
  title={eRoute: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems under Disruptive Events},
  author={Yukun Yuan and Desheng Zhang and Fei Miao and John A. Stankovic and Tian He and George J. Pappas and Shan Lin},
  journal={IEEE Transactions on Mobile Computing},
  year={2021},
  url={https://www.computer.org/csdl/journal/tm/5555/01/09462550/1uDSwVY8bqE}
}

Data-Driven Distributionally Robust Vehicle Balancing for Mobility on Demand Systems
Fei Miao, Sihong He, Lynn Pepin, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, and George J. Pappas.
ACM Transactions on Cyber-Physical Systems (TCPS), 5(2): Article 17, Jan. 2021.
[bib] [Link]

@article{miao2021datadriven,
  title={Data-Driven Distributionally Robust Vehicle Balancing for Mobility on Demand Systems},
  author={Fei Miao and Sihong He and Lynn Pepin and Shuo Han and Abdeltawab M. Hendawi and Mohamed E. Khalefa and John A. Stankovic and George J. Pappas},
  journal={ACM Transactions on Cyber-Physical Systems (TCPS)},
  year={2021},
  doi={10.1145/3418287},
  url={https://dl.acm.org/doi/10.1145/3418287}
}

A Game Theoretic Security Framework for Quantum Cryptography: Performance Analysis and Application
Songyang Han, Walter Krawec, and Fei Miao.
Quantum Information Processing, 19: 349, Sep. 2020.
[bib] [Link]

@article{han2020a,
  title={A Game Theoretic Security Framework for Quantum Cryptography: Performance Analysis and Application},
  author={Songyang Han and Walter Krawec and Fei Miao},
  journal={Quantum Information Processing, 19: 349},
  year={2020},
  url={https://link.springer.com/article/10.1007/s11128-020-02861-9}
}

Data-Driven Robust Taxi Dispatch under Demand Uncertainties
Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Qian Wang, Desheng Zhang, Tian He, and George J. Pappas.
IEEE Transactions on Control Systems Technology, 27(1): 175–191, Jan. 2019.
[bib] [Link]

@article{miao2019datadriven,
  title={Data-Driven Robust Taxi Dispatch under Demand Uncertainties},
  author={Fei Miao and Shuo Han and Shan Lin and John A. Stankovic and Qian Wang and Desheng Zhang and Tian He and George J. Pappas},
  journal={IEEE Transactions on Control Systems Technology},
  volume={27},
  number={1},
  pages={175–191},
  year={2019},
  url={http://ieeexplore.ieee.org/document/8105899/}
}

A Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems
Fei Miao, Quanyan Zhu, Miroslav Pajic, and George J. Pappas.
Automatica, 93: 55–63, July 2018.
[bib] [Link]

@article{miao2018a,
  title={A Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems},
  author={Fei Miao and Quanyan Zhu and Miroslav Pajic and George J. Pappas},
  journal={Automatica, 93: 55–63},
  year={2018},
  url={https://www.sciencedirect.com/science/article/pii/S0005109818300992}
}

Coding Schemes for Securing Cyber-Physical Systems against Stealthy Data Injection Attacks
Fei Miao, Quanyan Zhu, Miroslav Pajic, and George J. Pappas.
IEEE Transactions on Control of Network Systems, 4(1): 106–117, March 2017.
[bib] [Link]

@article{miao2017coding,
  title={Coding Schemes for Securing Cyber-Physical Systems against Stealthy Data Injection Attacks},
  author={Fei Miao and Quanyan Zhu and Miroslav Pajic and George J. Pappas},
  journal={IEEE Transactions on Control of Network Systems},
  volume={4},
  number={1},
  pages={106–117},
  year={2017},
  url={http://ieeexplore.ieee.org/document/7478650/}
}

Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach
Fei Miao, Shuo Han, Shan Lin, Sirajum Munir, John A. Stankovic, Hua Huang, Desheng Zhang, Tian He, and George J. Pappas.
IEEE Transactions on Automation Science and Engineering, 13(2): 463–478, April 2016.
[bib] [Link]

@article{miao2016taxi,
  title={Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach},
  author={Fei Miao and Shuo Han and Shan Lin and Sirajum Munir and John A. Stankovic and Hua Huang and Desheng Zhang and Tian He and George J. Pappas},
  journal={IEEE Transactions on Automation Science and Engineering},
  volume={13},
  number={2},
  pages={463–478},
  year={2016},
  url={http://ieeexplore.ieee.org/document/7438925/}
}

ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks
Shan Lin, Fei Miao, Jingbin Zhang, Gang Zhou, Lin Gu, Tian He, John A. Stankovic, Sang Son, and George J. Pappas.
ACM Transactions on Sensor Networks (TOSN), 12(1): 1–31, March 2016.
[bib] [Link]

@article{lin2016atpc,
  title={ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks},
  author={Shan Lin and Fei Miao and Jingbin Zhang and Gang Zhou and Lin Gu and Tian He and John A. Stankovic and Sang Son and George J. Pappas},
  journal={ACM Transactions on Sensor Networks (TOSN)},
  volume={12},
  number={1},
  pages={1–31},
  year={2016},
  url={https://dl.acm.org/doi/10.1145/2746342}
}

Preprints (Under Review)

Open-World Video Segmentation
Q Su, K Li, Y Zhuang, F Miao, and S Ji.
arXiv preprint arXiv:2606.15632, 2026.
[bib] [Link]

@misc{su2026openworld,
  title={Open-World Video Segmentation},
  author={Q Su and K Li and Y Zhuang and F Miao and S Ji},
  year={2026},
  eprint={2606.15632},
  archivePrefix={arXiv},
  url={https://arxiv.org/abs/2606.15632}
}

SEVO: Semantic-Enhanced Virtual Observation for Robust VLA Manipulation via Active Illumination and Data-Centric Collection
T Fang, Y Zhuang, and F Miao.
arXiv preprint arXiv:2605.11114, 2025.
[bib] [Link]

@misc{fang2025sevo,
  title={SEVO: Semantic-Enhanced Virtual Observation for Robust VLA Manipulation via Active Illumination and Data-Centric Collection},
  author={T Fang and Y Zhuang and F Miao},
  year={2025},
  eprint={2605.11114},
  archivePrefix={arXiv},
  url={https://arxiv.org/abs/2605.11114}
}

Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicle: From Simulation to Hardware
Keshawn Smith, Zhili Zhang, H M Sabbir Ahmad, Ehsan Sabouni, Maniak Mondal, Song Han, Wenchao Li, and Fei Miao.
under review, arXiv:2506.00982, Oct. 2025.
[bib] [Link]

@misc{smith2025robust,
  title={Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicle: From Simulation to Hardware},
  author={Keshawn Smith and Zhili Zhang and H M Sabbir Ahmad and Ehsan Sabouni and Maniak Mondal and Song Han and Wenchao Li and Fei Miao},
  note={under review, arXiv:2506.00982},
  year={2025},
  url={https://arxiv.org/abs/2506.00982}
}

Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks
Huiqun Huang, Cong Chen, Jean-Philippe Monteuuis, Jonathan Petit, and Fei Miao.
under review, arXiv:2502.02537, Feb. 2025.
[bib] [Link]

@misc{huang2025uncertaint,
  title={Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks},
  author={Huiqun Huang and Cong Chen and Jean-Philippe Monteuuis and Jonathan Petit and Fei Miao},
  note={under review, arXiv:2502.02537},
  year={2025},
  url={https://arxiv.org/abs/2502.02537}
}

Robust Constrained Reinforcement Learning
Yue Wang, Fei Miao, and Shaofeng Zou.
under review, arXiv:2209.06866.
[bib] [Link]

@misc{wang2022robust,
  title={Robust Constrained Reinforcement Learning},
  author={Yue Wang and Fei Miao and Shaofeng Zou},
  note={under review, arXiv:2209.06866},
  url={https://arxiv.org/abs/2209.06866}
}

Conference Papers

Text-Guided Layer Fusion Mitigates Hallucination in Multimodal LLMs
Chenchen Lin, Sanbao Su, Rachel Luo, Yuxiao Chen, Yan Wang, Marco Pavone, and Fei Miao.
Conference on Language Modeling (COLM), July 2026.
[bib] [Link]

@inproceedings{lin2026textguided,
  title={Text-Guided Layer Fusion Mitigates Hallucination in Multimodal LLMs},
  author={Chenchen Lin and Sanbao Su and Rachel Luo and Yuxiao Chen and Yan Wang and Marco Pavone and Fei Miao},
  booktitle={Conference on Language Modeling (COLM)},
  year={2026},
  url={https://openreview.net/forum?id=6KbiUz4BDr}
}

LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
Yuan Zhuang, Yi Shen, Yuexin Bian, Qing Su, Shihao Ji, Yuanyuan Shi, and Fei Miao.
International Conference on Learning Representations (ICLR), Jan. 2026.
[bib] [Link] [GitHub]

@inproceedings{zhuang2026ldmole,
  title={LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts},
  author={Yuan Zhuang and Yi Shen and Yuexin Bian and Qing Su and Shihao Ji and Yuanyuan Shi and Fei Miao},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2026},
  url={https://openreview.net/forum?id=4ST2YyTjI7}
}

YOLO-MARL: You Only LLM Once for Multi-agent Reinforcement Learning
Yuan Zhuang, Yi Shen, Zhili Zhang, Yuxiao Chen, and Fei Miao.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.
[bib] [Link]

@inproceedings{zhuang2025yolomarl,
  title={YOLO-MARL: You Only LLM Once for Multi-agent Reinforcement Learning},
  author={Yuan Zhuang and Yi Shen and Zhili Zhang and Yuxiao Chen and Fei Miao},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2025},
  url={https://ieeexplore.ieee.org/document/11245945}
}

Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications
Jiangwei Wang, Shuo Yang, Ziyan An, Songyang Han, Zhili Zhang, Rahul Mangharam, Meiyi Ma, and Fei Miao.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025.
[bib] [Link]

@inproceedings{wang2025multiagent,
  title={Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications},
  author={Jiangwei Wang and Shuo Yang and Ziyan An and Songyang Han and Zhili Zhang and Rahul Mangharam and Meiyi Ma and Fei Miao},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2025},
  url={https://ieeexplore.ieee.org/document/11246629}
}

Safety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles
Zhili Zhang, H M Sabbir Ahmad, Ehsan Sabouni, Yanchao Sun, Furong Huang, Wenchao Li, and Fei Miao.
IEEE International Conference on Robotics and Automation (ICRA), May 2025.
[bib] [Link]

@inproceedings{zhang2025safety,
  title={Safety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles},
  author={Zhili Zhang and H M Sabbir Ahmad and Ehsan Sabouni and Yanchao Sun and Furong Huang and Wenchao Li and Fei Miao},
  booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
  year={2025},
  url={https://ieeexplore.ieee.org/document/11128447}
}

CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction
Huiqun Huang, Sihong He, and Fei Miao.
AAAI Conference on Artificial Intelligence (AAAI), March 2025.
[bib] [Link]

@inproceedings{huang2025cuqds,
  title={CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction},
  author={Huiqun Huang and Sihong He and Fei Miao},
  booktitle={AAAI Conference on Artificial Intelligence (AAAI)},
  year={2025},
  url={https://ojs.aaai.org/index.php/AAAI/article/view/33915}
}

Policy Optimization for Robust Average Reward MDPs
Zhongchang Sun, Sihong He, Fei Miao, and Shaofeng Zou.
Annual Conference on Neural Information Processing Systems (NeurIPS), Dec. 2024.
[bib] [Link]

@inproceedings{sun2024policy,
  title={Policy Optimization for Robust Average Reward MDPs},
  author={Zhongchang Sun and Sihong He and Fei Miao and Shaofeng Zou},
  booktitle={Annual Conference on Neural Information Processing Systems (NeurIPS)},
  year={2024},
  url={https://proceedings.neurips.cc/paper_files/paper/2024/hash/1f28e9341ab99d8e5a5734f0a76601c7-Abstract-Conference.html}
}

MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks
Sanbao Su, Xin Li, Thang Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, and Liu Ren.
European Conference on Computer Vision (ECCV), pp. 325–342, Oct. 2024.
[bib] [Link]

@inproceedings{su2024metaat,
  title={MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks},
  author={Sanbao Su and Xin Li and Thang Doan and Sima Behpour and Wenbin He and Liang Gou and Fei Miao and Liu Ren},
  booktitle={European Conference on Computer Vision (ECCV)},
  pages={325–342},
  year={2024},
  url={https://link.springer.com/chapter/10.1007/978-3-031-73229-4_19}
}

Constrained Reinforcement Learning Under Model Mismatch
Zhongchang Sun, Sihong He, Fei Miao, and Shaofeng Zou.
International Conference on Machine Learning (ICML), PMLR 235, July 2024.
[bib] [Link]

@inproceedings{sun2024constraine,
  title={Constrained Reinforcement Learning Under Model Mismatch},
  author={Zhongchang Sun and Sihong He and Fei Miao and Shaofeng Zou},
  booktitle={International Conference on Machine Learning (ICML), PMLR 235},
  year={2024},
  url={https://proceedings.mlr.press/v235/sun24d.html}
}

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
Han Wang, Sihong He, Zhili Zhang, Fei Miao, and James Anderson.
International Conference on Machine Learning (ICML), PMLR 235, July 2024.
[bib] [Link]

@inproceedings{wang2024momentum,
  title={Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments},
  author={Han Wang and Sihong He and Zhili Zhang and Fei Miao and James Anderson},
  booktitle={International Conference on Machine Learning (ICML), PMLR 235},
  year={2024},
  url={https://proceedings.mlr.press/v235/wang24v.html}
}

Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift
Huiqun Huang, Sihong He, and Fei Miao.
AI4TS Workshop at IJCAI (Best Paper Award), 2024.
[bib]

@inproceedings{huang2024adaptive,
  title={Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift},
  author={Huiqun Huang and Sihong He and Fei Miao},
  booktitle={AI4TS Workshop at IJCAI (Best Paper Award)},
  year={2024}
}

Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach
Sihong He, Shuo Han, and Fei Miao.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5471–5478, Oct. 2023.
[bib] [Link]

@inproceedings{he2023robust,
  title={Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach},
  author={Sihong He and Shuo Han and Fei Miao},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={5471–5478},
  year={2023},
  url={https://ieeexplore.ieee.org/document/10342263}
}

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems
Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, and Fei Miao.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5637–5644, Oct. 2023.
[bib] [Link]

@inproceedings{he2023a,
  title={A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems},
  author={Sihong He and Yue Wang and Shuo Han and Shaofeng Zou and Fei Miao},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={5637–5644},
  year={2023},
  url={https://ieeexplore.ieee.org/document/10342342}
}

Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles
Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, and Lili Su.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2023.
[bib] [Link]

@inproceedings{peng2023privacypre,
  title={Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles},
  author={Muzi Peng and Jiangwei Wang and Dongjin Song and Fei Miao and Lili Su},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2023},
  url={https://ieeexplore.ieee.org/document/10341638}
}

Uncertainty Quantification of Collaborative Detection for Self-Driving
Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, and Fei Miao.
IEEE International Conference on Robotics and Automation (ICRA), pp. 5588–5594, May 2023.
[bib] [Link] [GitHub]

@inproceedings{su2023uncertaint,
  title={Uncertainty Quantification of Collaborative Detection for Self-Driving},
  author={Sanbao Su and Yiming Li and Sihong He and Songyang Han and Chen Feng and Caiwen Ding and Fei Miao},
  booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
  pages={5588–5594},
  year={2023},
  url={https://ieeexplore.ieee.org/document/10160367}
}

Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios
Zhili Zhang, Songyang Han, Jiangwei Wang, and Fei Miao.
IEEE International Conference on Robotics and Automation (ICRA), pp. 5574–5580, May 2023.
[bib] [Link]

@inproceedings{zhang2023spatialtem,
  title={Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios},
  author={Zhili Zhang and Songyang Han and Jiangwei Wang and Fei Miao},
  booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
  pages={5574–5580},
  year={2023},
  url={https://ieeexplore.ieee.org/document/10161216}
}

Shared Information-Based Safe and Efficient Behavior Planning for Connected Autonomous Vehicles
Songyang Han, Shanglin Zhou, Jiangwei Wang, Lynn Pepin, Jie Fu, Caiwen Ding, and Fei Miao.
DCAA Workshop at the 37th AAAI Conference on Artificial Intelligence (Best Paper Award), 2023.
[bib]

@inproceedings{han2023shared,
  title={Shared Information-Based Safe and Efficient Behavior Planning for Connected Autonomous Vehicles},
  author={Songyang Han and Shanglin Zhou and Jiangwei Wang and Lynn Pepin and Jie Fu and Caiwen Ding and Fei Miao},
  booktitle={DCAA Workshop at the 37th AAAI Conference on Artificial Intelligence (Best Paper Award)},
  year={2023}
}

Deep Reinforcement Learning for Distribution System Cyber Attack Defense with DERs
Alaa Selim, Junbo Zhao, Fei Ding, Sung Yeul Park, and Fei Miao.
IEEE PES North American Innovative Smart Grid Technologies Conference (ISGT), 2023.
[bib] [Link]

@inproceedings{selim2023deep,
  title={Deep Reinforcement Learning for Distribution System Cyber Attack Defense with DERs},
  author={Alaa Selim and Junbo Zhao and Fei Ding and Sung Yeul Park and Fei Miao},
  booktitle={IEEE PES North American Innovative Smart Grid Technologies Conference (ISGT)},
  year={2023},
  url={https://ieeexplore.ieee.org/document/10066375}
}

Towards Safe Autonomy in Hybrid Traffic: The Power of Information Sharing in Detecting Abnormal Human Drivers Behaviors
Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, and Fei Miao.
AI4TS Workshop at the 31st International Joint Conference on Artificial Intelligence (IJCAI), July 2022.
[bib]

@inproceedings{wang2022towards,
  title={Towards Safe Autonomy in Hybrid Traffic: The Power of Information Sharing in Detecting Abnormal Human Drivers Behaviors},
  author={Jiangwei Wang and Lili Su and Songyang Han and Dongjin Song and Fei Miao},
  booktitle={AI4TS Workshop at the 31st International Joint Conference on Artificial Intelligence (IJCAI)},
  year={2022}
}

Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles
Songyang Han, He Wang, Sanbao Su, Yuanyuan Shi, and Fei Miao.
IEEE International Conference on Robotics and Automation (ICRA), pp. 8765–8771, May 2022.
[bib] [Link]

@inproceedings{han2022stable,
  title={Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles},
  author={Songyang Han and He Wang and Sanbao Su and Yuanyuan Shi and Fei Miao},
  booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
  pages={8765–8771},
  year={2022},
  url={https://ieeexplore.ieee.org/document/9811626}
}

A Secure and Efficient Federated Learning Framework for NLP
Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, and Caiwen Ding.
Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 7676–7682, Nov. 2021.
[bib] [Link]

@inproceedings{wang2021a,
  title={A Secure and Efficient Federated Learning Framework for NLP},
  author={Chenghong Wang and Jieren Deng and Xianrui Meng and Yijue Wang and Ji Li and Sheng Lin and Shuo Han and Fei Miao and Sanguthevar Rajasekaran and Caiwen Ding},
  booktitle={Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  pages={7676–7682},
  year={2021},
  url={https://aclanthology.org/2021.emnlp-main.604/}
}

Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System
Xiaoyang Xie, Kangjia Shao, Yang Wang, Fei Miao, and Desheng Zhang.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4869–4874, Oct. 2021.
[bib] [Link]

@inproceedings{xie2021automated,
  title={Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System},
  author={Xiaoyang Xie and Kangjia Shao and Yang Wang and Fei Miao and Desheng Zhang},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={4869–4874},
  year={2021},
  url={https://ieeexplore.ieee.org/document/9636559}
}

Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
Deniz Gurevin, Mikhail Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, and Fei Miao.
International Joint Conference on Artificial Intelligence (IJCAI), pp. 2497–2504, Aug. 2021.
[bib] [Link]

@inproceedings{gurevin2021enabling,
  title={Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation},
  author={Deniz Gurevin and Mikhail Bragin and Caiwen Ding and Shanglin Zhou and Lynn Pepin and Bingbing Li and Fei Miao},
  booktitle={International Joint Conference on Artificial Intelligence (IJCAI)},
  pages={2497–2504},
  year={2021},
  url={https://www.ijcai.org/proceedings/2021/344}
}

An End-to-end Multi-Task Object Detection using Embedded GPU in Autonomous Driving
Shanglin Zhou, Mimi Xie, Yufang Jin, Fei Miao, and Caiwen Ding.
22nd International Symposium on Quality Electronic Design (ISQED), pp. 122–128, 2021.
[bib] [Link]

@inproceedings{zhou2021an,
  title={An End-to-end Multi-Task Object Detection using Embedded GPU in Autonomous Driving},
  author={Shanglin Zhou and Mimi Xie and Yufang Jin and Fei Miao and Caiwen Ding},
  booktitle={22nd International Symposium on Quality Electronic Design (ISQED)},
  pages={122–128},
  year={2021},
  url={https://ieeexplore.ieee.org/document/9424308}
}

DeResolver: A Decentralized Negotiation and Conflict Resolution Framework for Smart City Services
Yukun Yuan, Meiyi Ma, Songyang Han, Jack Stankovic, Desheng Zhang, Fei Miao, and Shan Lin.
ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), pp. 98–109 (Best Paper Award), May 2021.
[bib] [Link]

@inproceedings{yuan2021deresolver,
  title={DeResolver: A Decentralized Negotiation and Conflict Resolution Framework for Smart City Services},
  author={Yukun Yuan and Meiyi Ma and Songyang Han and Jack Stankovic and Desheng Zhang and Fei Miao and Shan Lin},
  booktitle={ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)},
  pages={98–109},
  year={2021},
  doi={10.1145/3450267.3450538},
  url={https://dl.acm.org/doi/10.1145/3450267.3450538}
}

Data-Driven Fairness-Aware Vehicle Displacement for Large-Scale Electric Taxi Fleets
Guang Wang, Shuxin Zhong, Shuai Wang, Fei Miao, Zheng Dong, and Desheng Zhang.
IEEE International Conference on Data Engineering (ICDE), pp. 1200–1211, 2021.
[bib] [Link]

@inproceedings{wang2021datadriven,
  title={Data-Driven Fairness-Aware Vehicle Displacement for Large-Scale Electric Taxi Fleets},
  author={Guang Wang and Shuxin Zhong and Shuai Wang and Fei Miao and Zheng Dong and Desheng Zhang},
  booktitle={IEEE International Conference on Data Engineering (ICDE)},
  pages={1200–1211},
  year={2021},
  url={https://ieeexplore.ieee.org/document/9458687}
}

Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties
Sihong He, Lynn Pepin, Guang Wang, Desheng Zhang, and Fei Miao.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2165–2172, Oct. 2020.
[bib] [Link]

@inproceedings{he2020datadriven,
  title={Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties},
  author={Sihong He and Lynn Pepin and Guang Wang and Desheng Zhang and Fei Miao},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={2165–2172},
  year={2020},
  url={https://ieeexplore.ieee.org/document/9341481}
}

Exploiting Beneficial Information Sharing Among Autonomous Vehicles
Songyang Han, Jie Fu, and Fei Miao.
IEEE Conference on Decision and Control (CDC), pp. 2226–2232, Dec. 2019.
[bib] [Link]

@inproceedings{han2019exploiting,
  title={Exploiting Beneficial Information Sharing Among Autonomous Vehicles},
  author={Songyang Han and Jie Fu and Fei Miao},
  booktitle={IEEE Conference on Decision and Control (CDC)},
  pages={2226–2232},
  year={2019},
  url={https://ieeexplore.ieee.org/document/9029438}
}

Dynamic Pricing for Autonomous Vehicle E-hailing Services Reliability and Performance Improvement
Qixing Wang, Fei Miao, Jie Wu, Yuan Niu, Chengliang Wang, and Nicholas Lownes.
IEEE Conference on Automation Science and Engineering (CASE), pp. 948–953, Aug. 2019.
[bib] [Link]

@inproceedings{wang2019dynamic,
  title={Dynamic Pricing for Autonomous Vehicle E-hailing Services Reliability and Performance Improvement},
  author={Qixing Wang and Fei Miao and Jie Wu and Yuan Niu and Chengliang Wang and Nicholas Lownes},
  booktitle={IEEE Conference on Automation Science and Engineering (CASE)},
  pages={948–953},
  year={2019},
  url={https://ieeexplore.ieee.org/document/8843122}
}

p2Charging: Proactive Partial Charging for Electric Taxi Systems
Yukun Yuan, Desheng Zhang, Fei Miao, Jiming Chen, Tian He, and Shan Lin.
IEEE International Conference on Distributed Computing Systems (ICDCS), pp. 688–699, July 2019.
[bib] [Link]

@inproceedings{yuan2019pcharging,
  title={p2Charging: Proactive Partial Charging for Electric Taxi Systems},
  author={Yukun Yuan and Desheng Zhang and Fei Miao and Jiming Chen and Tian He and Shan Lin},
  booktitle={IEEE International Conference on Distributed Computing Systems (ICDCS)},
  pages={688–699},
  year={2019},
  url={https://ieeexplore.ieee.org/document/8885097}
}

Securing Power Distribution Grid Against Power Botnet Attacks
Lizhi Wang, Lynn Pepin, Yan Li, Fei Miao, Amir Herzberg, Peng Zhang, and Christopher Leigh.
IEEE Power & Energy Society General Meeting (PESGM), pp. 1–5, Aug. 2019.
[bib] [Link]

@inproceedings{wang2019securing,
  title={Securing Power Distribution Grid Against Power Botnet Attacks},
  author={Lizhi Wang and Lynn Pepin and Yan Li and Fei Miao and Amir Herzberg and Peng Zhang and Christopher Leigh},
  booktitle={IEEE Power & Energy Society General Meeting (PESGM)},
  pages={1–5},
  year={2019},
  url={https://ieeexplore.ieee.org/document/8974098}
}

Game Theoretic Security Framework for Quantum Key Distribution
Walter O. Krawec and Fei Miao.
Conference on Decision and Game Theory for Security (GameSec), Oct. 2018.
[bib] [Link]

@inproceedings{miao2018game,
  title={Game Theoretic Security Framework for Quantum Key Distribution},
  author={Walter O. Krawec and Fei Miao},
  booktitle={Conference on Decision and Game Theory for Security (GameSec)},
  year={2018},
  url={https://link.springer.com/chapter/10.1007/978-3-030-01554-1_3}
}

Dynamic Integration of Heterogeneous Transportation Modes under Disruptive Events
Yukun Yuan, Desheng Zhang, Fei Miao, John A. Stankovic, Tian He, George Pappas, and Shan Lin.
ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), pp. 65–76, 2018.
[bib] [Link]

@inproceedings{yuan2018dynamic,
  title={Dynamic Integration of Heterogeneous Transportation Modes under Disruptive Events},
  author={Yukun Yuan and Desheng Zhang and Fei Miao and John A. Stankovic and Tian He and George Pappas and Shan Lin},
  booktitle={ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)},
  pages={65–76},
  year={2018},
  url={https://dl.acm.org/citation.cfm?id=3207896.3207905}
}

Artificial Invariant Subspace with Potential Functions for Humanoid Robot Balancing
Xiang Deng, Fei Miao, and Daniel D. Lee.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4538–4545, Sep. 2017.
[bib] [Link]

@inproceedings{deng2017artificial,
  title={Artificial Invariant Subspace with Potential Functions for Humanoid Robot Balancing},
  author={Xiang Deng and Fei Miao and Daniel D. Lee},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={4538–4545},
  year={2017},
  url={https://ieeexplore.ieee.org/document/8206321/}
}

Hierarchical Data-Driven Vehicle Dispatch for Large-Scale Ride-sharing Networks
Ximing Chen, Fei Miao, George J. Pappas, and Victor M. Preciado.
IEEE Conference on Decision and Control (CDC), pp. 4458–4463, Dec. 2017.
[bib] [Link]

@inproceedings{chen2017hierarchic,
  title={Hierarchical Data-Driven Vehicle Dispatch for Large-Scale Ride-sharing Networks},
  author={Ximing Chen and Fei Miao and George J. Pappas and Victor M. Preciado},
  booktitle={IEEE Conference on Decision and Control (CDC)},
  pages={4458–4463},
  year={2017},
  url={https://ieeexplore.ieee.org/document/8264317/}
}

Data-Driven Distributionally Robust Vehicle Balancing Using Dynamic Region Partitions
Fei Miao, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, and George J. Pappas.
ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), pp. 261–271, 2017.
[bib] [Link]

@inproceedings{miao2017datadriven,
  title={Data-Driven Distributionally Robust Vehicle Balancing Using Dynamic Region Partitions},
  author={Fei Miao and Shuo Han and Abdeltawab M. Hendawi and Mohamed E. Khalefa and John A. Stankovic and George J. Pappas},
  booktitle={ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)},
  pages={261–271},
  year={2017},
  url={https://dl.acm.org/citation.cfm?id=3055024}
}

Robust Taxi Dispatch under Model Uncertainties
Fei Miao, Shuo Han, Shan Lin, and George J. Pappas.
IEEE Conference on Decision and Control (CDC), pp. 2816–2821, Dec. 2015.
[bib] [Link]

@inproceedings{miao2015robust,
  title={Robust Taxi Dispatch under Model Uncertainties},
  author={Fei Miao and Shuo Han and Shan Lin and George J. Pappas},
  booktitle={IEEE Conference on Decision and Control (CDC)},
  pages={2816–2821},
  year={2015},
  url={https://ieeexplore.ieee.org/document/7402643}
}

Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas - a Receding Horizon Control Approach
Fei Miao, Shan Lin, Sirajum Munir, John A. Stankovic, Hua Huang, Desheng Zhang, Tian He, and George J. Pappas.
ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), pp. 100–109 (Best Paper Award Finalist), 2015.
[bib] [Link]

@inproceedings{miao2015taxi,
  title={Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas - a Receding Horizon Control Approach},
  author={Fei Miao and Shan Lin and Sirajum Munir and John A. Stankovic and Hua Huang and Desheng Zhang and Tian He and George J. Pappas},
  booktitle={ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)},
  pages={100–109},
  year={2015},
  url={https://dl.acm.org/doi/10.1145/2735960.2735961}
}

Coding Sensor Outputs for Injection Attacks Detection
Fei Miao, Quanyan Zhu, Miroslav Pajic, and George J. Pappas.
IEEE Conference on Decision and Control (CDC), pp. 5776–5781, Dec. 2014.
[bib] [Link]

@inproceedings{miao2014coding,
  title={Coding Sensor Outputs for Injection Attacks Detection},
  author={Fei Miao and Quanyan Zhu and Miroslav Pajic and George J. Pappas},
  booktitle={IEEE Conference on Decision and Control (CDC)},
  pages={5776–5781},
  year={2014},
  url={https://ieeexplore.ieee.org/document/7040293}
}

A Moving-Horizon Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems
Fei Miao, Quanyan Zhu, Miroslav Pajic, and George J. Pappas.
IEEE Conference on Decision and Control (CDC), pp. 517–522, Dec. 2014.
[bib] [Link]

@inproceedings{miao2014a,
  title={A Moving-Horizon Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems},
  author={Fei Miao and Quanyan Zhu and Miroslav Pajic and George J. Pappas},
  booktitle={IEEE Conference on Decision and Control (CDC)},
  pages={517–522},
  year={2014},
  url={https://ieeexplore.ieee.org/document/7039433}
}

Stochastic Game Approach for Replay Attack Detection
Fei Miao, Miroslav Pajic, and George J. Pappas.
IEEE Conference on Decision and Control (CDC), pp. 1854–1859, Dec. 2013.
[bib] [Link]

@inproceedings{miao2013stochastic,
  title={Stochastic Game Approach for Replay Attack Detection},
  author={Fei Miao and Miroslav Pajic and George J. Pappas},
  booktitle={IEEE Conference on Decision and Control (CDC)},
  pages={1854–1859},
  year={2013},
  url={https://ieeexplore.ieee.org/document/6760152}
}

Networked Realization of Discrete-Time Controllers
Fei Miao, Miroslav Pajic, Rahul Mangharam, and George J. Pappas.
American Control Conference (ACC), pp. 2996–3001, June 2013.
[bib] [Link]

@inproceedings{miao2013networked,
  title={Networked Realization of Discrete-Time Controllers},
  author={Fei Miao and Miroslav Pajic and Rahul Mangharam and George J. Pappas},
  booktitle={American Control Conference (ACC)},
  pages={2996–3001},
  year={2013},
  url={https://ieeexplore.ieee.org/document/6580290}
}