1 citations · 2 across the 2 of their papers we have counts for
5 papers
Stackelberg Game-Theoretic Learning for Collaborative Assembly Task Planning
Yuhan Zhao, Lan Shi, Quanyan Zhu
As assembly tasks grow in complexity, collaboration among multiple robots becomes essential for task completion. However, centralized task planning has become inadequate for adapti…
Stackelberg Meta-Learning Based Shared Control for Assistive Driving
Yuhan Zhao, Quanyan Zhu
Shared control allows the human driver to collaborate with an assistive driving system while retaining the ability to make decisions and take control if necessary. However, human-v…
Augmented Negative Sampling for Collaborative Filtering
Yuhan Zhao, Rui Chen, Riwei Lai +3
Negative sampling is essential for implicit-feedback-based collaborative filtering, which is used to constitute negative signals from massive unlabeled data to guide supervised lea…
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning
Huanzhang Dou, Pengyi Zhang, Yuhan Zhao +3
Gait recognition aims at identifying the pedestrians at a long distance by their biometric gait patterns. It is inherently challenging due to the various covariates and the propert…
Multi-Agent Learning for Resilient Distributed Control Systems
Yuhan Zhao, Craig Rieger, Quanyan Zhu
Resilience describes a system's ability to function under disturbances and threats. Many critical infrastructures, including smart grids and transportation networks, are large-scal…