5 citations · 8 across the 10 of their papers we have counts for
10 papers
Byzantine-resilient federated online learning for Gaussian process regression
Xu Zhang, Zhenyuan Yuan, Minghui Zhu
In this paper, we study Byzantine-resilient federated online learning for Gaussian process regression (GPR). We develop a Byzantine-resilient federated GPR algorithm that allows a…
SynSHRP2: A Synthetic Multimodal Benchmark for Driving Safety-critical Events Derived from Real-world Driving Data
Liang Shi, Boyu Jiang, Zhenyuan Yuan +2
Driving-related safety-critical events (SCEs), including crashes and near-crashes, provide essential insights for the development and safety evaluation of automated driving systems…
Bayesian meta learning for trustworthy uncertainty quantification
Zhenyuan Yuan, Thinh T. Doan
We consider the problem of Bayesian regression with trustworthy uncertainty quantification. We define that the uncertainty quantification is trustworthy if the ground truth can be…
Federated reinforcement learning for robot motion planning with zero-shot generalization
Zhenyuan Yuan, Siyuan Xu, Minghui Zhu
This paper considers the problem of learning a control policy for robot motion planning with zero-shot generalization, i.e., no data collection and policy adaptation is needed when…
Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments
Mollik Nayyar, Ghanghoon Paik, Zhenyuan Yuan +4
Recent research has examined the possibility of using robots to guide evacuees to safe exits during emergencies. Yet, there are many factors that can impact a person's decision to…
Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control
Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar +3
Emergency evacuation describes a complex situation involving time-critical decision-making by evacuees. Mobile robots are being actively explored as a potential solution to provide…
Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields
Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar +3
This work studies a robot-assisted crowd evacuation problem where we control a small group of robots to guide a large human crowd to safe locations. The challenge lies in how to mo…
Distributed Safe Learning and Planning for Multi-robot Systems
Zhenyuan Yuan, Minghui Zhu
This paper considers the problem of online multi-robot motion planning with general nonlinear dynamics subject to unknown external disturbances. We propose dSLAP, a distributed saf…
Lightweight Distributed Gaussian Process Regression for Online Machine Learning
Zhenyuan Yuan, Minghui Zhu
In this paper, we study the problem where a group of agents aim to collaboratively learn a common static latent function through streaming data. We propose a lightweight distribute…
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks
Rui Yu, Zhenyuan Yuan, Minghui Zhu +1
Nowadays, the prevalence of sensor networks has enabled tracking of the states of dynamic objects for a wide spectrum of applications from autonomous driving to environmental monit…