Publications

• Preprints

P1.  In-Ho Choi, Sihyeon Jo, Younghwa Jung, Zhenyuan Yuan and Seong-Woo Kim. Anomaly Detection in Manufacturing Process of Non-ductile Material using Digital Twin-based Data Augmentation.  IEEE Transactions on Semiconductor Manufacturing. Under review.

• Peer-reviewed journal papers

J9. Xu Zhang, Zhenyuan Yuan and Minghui Zhu. Byzantine-resilient federated online learning for Gaussian process regression.    Automatica. Accepted. 2025. 

J8. Zhenyuan Yuan, Siyuan Xu and Minghui Zhu.  All-time Safety and Sample-efficient Meta Update in Online Safe Meta Reinforcement Learning.  Machine Learning. vol. 114, no. 8, pp. 1-28, June 2025.

J7. Zhenyuan Yuan and Minghui Zhu.  Distributed Safe Learning and Planning for Multi-robot Systems.  IEEE Transaction on Automatic Control. Accepted. 2025

J6.  Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar, Alan Wagner, Minghui Zhu and Hai Lin. Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control.  IEEE Transactions on Control Systems Technology, vol. 32, no. 6, pp. 2194-2206, November 2024.

J5. Zhenyuan Yuan, Siyuan Xu and Minghui Zhu. Federated reinforcement learning for robot motion planning with zero-shot generalization.  Automatica, vol.  166,  pp. 111709,  August 2024. 

J4. Zhenyuan Yuan and Minghui Zhu. Lightweight  Distributed  Gaussian  Process  Regression  for  Online  Machine  Learning.  IEEE Transaction on Automatic Control, vol. 69, no. 6, pp. 3928-3943, June 2024.

J3. Xu Zhang, Zhenyuan Yuan, Siyuan Xu, Yang Lu and Minghui Zhu. Secure Preception-driven Control of Mobile Robots using Chaotic Encryption. IEEE Transaction on Automatic Control, vol. 69, no. 4, pp. 2429-2436, April 2024.

J2. Yiwei Fu, Devesh Jha, Zeyu Zhang, Zhenyuan Yuan and Asok Ray. Neural Network-based Learning from Demonstration of an Autonomous Ground Robot. Machines, 7(2): 24, June, 2019. 

J1. Nurali Virani, Devesh Jha, Zhenyuan Yuan, Ishana Shekhawat and Asok Ray. Imitation of Demonstrations using Bayesian Filtering with Nonparametric Data-driven Models.  Journal of Dynamic Systems, Measurement, and Control. (Special Issue on Commemorating the life, achievements and impact of Rudolph E. Kalman), 140(3): 030906, March, 2018.  (2019 Rudolf Kalman Best Paper Award)

• Peer-reviewed conference papers

C12. Zhenyuan Yuan and Thinh T. Doan.  Bayesian meta learning for trustworthy uncertainty quantification.  IEEE International Conference on Decision and Control (CDC), 2024. To appear.

C11. Mollik Nayyar, Ghanghoon Paik, Zhenyuan Yuan, Tongjia Zheng, Minghui Zhu, Hai Lin and Alan Richard Wagner. Characterizing Evacuee Behavior During a Robot-Guided Evacuation.   IEEE International Conference on Safety, Security, and Rescue Robotics (SSRR), Fukushima, Japan,  pp. 119-125, November, 2023.

C10. Zhenyuan Yuan, Siyuan Xu, and Minghui Zhu. Federated Reinforcement Learning for Generalizable Motion Planning. American Control Conference (ACC), San Diego, CA, pp. 78-83, May 2023. 

C9. Zhenyuan Yuan, Tongjia Zheng, Mollik Nayyar, Alan Wagner,  Hai Lin  and Minghui Zhu. Multi-robot-assisted Human Crowd Control for Emergency Evacuation: A Stabilization Approach. American Control Conference (ACC), San Diego, CA, pp. 4051-4056, May 2023. 

C8. Zhenyuan Yuan and Minghui Zhu. dSLAP: Distributed Safe Learning and Planning for Multi-robot Systems. IEEE International Conference on Decision and Control (CDC), Cancun, Mexico, pp. 5864-5869, December 2022. 

C7. Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar, Alan Wagner, Minghui Zhu and Hai Lin. Multi-robot-assisted Human Crowd Evacuation using Navigation Velocity Fields. IEEE International Conference on Decision and Control (CDC),  Cancun, Mexico, pp. 2061-2066, December 2022. 

C6. Xu Zhang, Zhenyuan Yuan and Minghui Zhu. Byzantine-tolerant Federated Gaussian Process Regression for Streaming Data.  International Conference on Neural Information Processing Systems (NeurIPS),  New Orleans, LA, pp.13499-13511, December 2022.

C5. Sihyeon Jo, Zhenyuan Yuan and Seong-Woo Kim. Interactive Storyboarding for Rapid Visual Story Generation. International Conference on Consumer Electronics Asia (ICCE-Asia), Yeosu, South Korea, pp.1-4, October 2022. 

C4.  Younghwa Jung, Zhenyuan Yuan, Seung-Woo Seo, Minghui Zhu and Seong-Woo Kim. Learning Neural Processes on the Fly. International Conference on Consumer Electronics Asia (ICCE-Asia), Yeosu, South Korea, pp.1-4, October 2022. 

C3. Xu Zhang, Zhenyuan Yuan, Siyuan Xu, Yang Lu and Minghui Zhu. Secure Perception-driven Control of Mobile Robots using Chaotic Encryption. American Control Conference (ACC), New Orleans, LA, pp. 2575-2580, May 2021. 

C2. Rui Yu, Zhenyuan Yuan, Minghui Zhu and Zihan Zhou.  Data-driven Distributed State Estimation and Behavior Modeling in Sensor Networks. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, pp. 8192-8299, October 2020.

 C1. Zhenyuan Yuan and Minghui Zhu. Communication-aware  Distributed  Gaussian  Process  Regression Algorithms  for  Real-time  Machine  Learning. American Control Conference (ACC), Denver, CO, pp. 2197-2202, July 2020.