Zhenyuan Yuan

According to our database, Zhenyuan Yuan authored at least 20 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Byzantine-resilient federated online learning for Gaussian process regression.

Xu Zhang, Zhenyuan Yuan, Minghui Zhu

Autom., 2026

2025

All-time safety and sample-efficient meta update for online safe meta reinforcement learning under Markov task transition.

Zhenyuan Yuan, Siyuan Xu, Minghui Zhu

Mach. Learn., August, 2025

SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data.

Liang Shi, Boyu Jiang, Zhenyuan Yuan, Miguel A. Perez, Feng Guo

CoRR, May, 2025

2024

Multirobot-Guided Crowd Evacuation: Two-Scale Modeling and Control.

Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar, Alan R. Wagner, Minghui Zhu, Hai Lin

IEEE Trans. Control. Syst. Technol., November, 2024

Lightweight Distributed Gaussian Process Regression for Online Machine Learning.

Zhenyuan Yuan, Minghui Zhu

IEEE Trans. Autom. Control., June, 2024

Federated reinforcement learning for robot motion planning with zero-shot generalization.

Zhenyuan Yuan, Siyuan Xu, Minghui Zhu

Autom., 2024

Bayesian meta learning for trustworthy uncertainty quantification.

Zhenyuan Yuan, Thinh T. Doan

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments.

Mollik Nayyar, Ghanghoon Paik, Zhenyuan Yuan, Tongjia Zheng, Minghui Zhu, Hai Lin, Alan R. Wagner

CoRR, 2023

Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control Based on Mean-Field Hydrodynamic Models.

Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar, Alan R. Wagner, Minghui Zhu, Hai Lin

CoRR, 2023

Characterizing Evacuee Behavior During a Robot-Guided Evacuation.

Mollik Nayyar, Ghanghoon Paik, Zhenyuan Yuan, Tongjia Zheng, Minghui Zhu, Hai Lin, Alan R. Wagner

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2023

Multi-robot-assisted human crowd control for emergency evacuation: A stabilization approach.

Zhenyuan Yuan, Tongjia Zheng, Mollik Nayyar, Alan R. Wagner, Hai Lin, Minghui Zhu

Proceedings of the American Control Conference, 2023

Federated reinforcement learning for generalizable motion planning.

Zhenyuan Yuan, Siyuan Xu, Minghui Zhu

Proceedings of the American Control Conference, 2023

2022

Distributed Safe Learning and Planning for Multi-robot Systems.

Zhenyuan Yuan, Minghui Zhu

CoRR, 2022

Byzantine-tolerant federated Gaussian process regression for streaming data.

Xu Zhang, Zhenyuan Yuan, Minghui Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields.

Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar, Alan R. Wagner, Minghui Zhu, Hai Lin

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

dSLAP: Distributed Safe Learning and Planning for Multi-robot Systems.

Zhenyuan Yuan, Minghui Zhu

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Resource-aware Distributed Gaussian Process Regression for Real-time Machine Learning.

Zhenyuan Yuan, Minghui Zhu

CoRR, 2021

Secure perception-driven control of mobile robots using chaotic encryption.

Xu Zhang, Zhenyuan Yuan, Siyuan Xu, Yang Lu, Minghui Zhu

Proceedings of the 2021 American Control Conference, 2021

2020

Data-driven Distributed State Estimation and Behavior Modeling in Sensor Networks.

Rui Yu, Zhenyuan Yuan, Minghui Zhu, Zihan Zhou

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Communication-aware Distributed Gaussian Process Regression Algorithms for Real-time Machine Learning.

Zhenyuan Yuan, Minghui Zhu

Proceedings of the 2020 American Control Conference, 2020