26 citations · 43 across the 6 of their papers we have counts for
19 papers
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization
Ye Shi, Leijie Zhang, Zehong Cao +2
Recently, distributed semi-supervised learning (DSSL) algorithms have shown their effectiveness in leveraging unlabeled samples over interconnected networks, where agents cannot sh…
Self-Awareness Safety of Deep Reinforcement Learning in Road Traffic Junction Driving
Zehong Cao, Jie Yun
Autonomous driving has been at the forefront of public interest, and a pivotal debate to widespread concerns is safety in the transportation system. Deep reinforcement learning (DR…
Retrieving Event-related Human Brain Dynamics from Natural Sentence Reading
Xinping Liu, Zehong Cao
Electroencephalography (EEG) signals recordings when people reading natural languages are commonly used as a cognitive method to interpret human language understanding in neuroscie…
Identification of EEG Dynamics During Freezing of Gait and Voluntary Stopping in Patients with Parkinson's Disease
Zehong Cao, Alka Rachel John, Hsiang-Ting Chen +6
Mobility is severely impacted in patients with Parkinson's disease (PD), especially when they experience involuntary stopping from the freezing of gait (FOG). Understanding the neu…
Weak Human Preference Supervision For Deep Reinforcement Learning
Zehong Cao, KaiChiu Wong, Chin-Teng Lin
The current reward learning from human preferences could be used to resolve complex reinforcement learning (RL) tasks without access to a reward function by defining a single fixed…
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification
Xianglin Zheng, Zehong Cao, Quan Bai
The new perspective in visual classification aims to decode the feature representation of visual objects from human brain activities. Recording electroencephalogram (EEG) from the…