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Ruiquan Huang
Deep Learning
Reinforcement Learning
Trustworthiness Of ML/AI Systems
About
My research interests lie broadly in Machine Learning (ML) and Artificial Intelligence (AI), with a particular focus on deep learning, reinforcement learning, and the trustworthiness of ML/AI systems.
Research Performance Summary
2021-2025
Active Research Span
First Recorded Paper
Federated linear contextual bandits
Year:
2021
Citations:
105
Venue:
Advances in Neural Information Processing Systems (NeurIPS) 34
Latest Recorded Paper
Provably Efficient and Trustworthy Reinforcement Learning
Year:
2025
Citations:
0
Venue:
The Pennsylvania State University
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Huang
Yang
Liang
Research Impact by Period
Papers
4
Citations
7
Avg. Citations / Paper
1.8
H-Index
1
Papers
15
Citations
218
Avg. Citations / Paper
14.5
H-Index
8
Contact and Professional Links
Detected Research Keywords
Federated Linear Contextual
Linear Contextual Bandits
Sample Complexity Reward
Complexity Reward Free
General Function Approximation
Differentially Private Wireless
Private Wireless Federated
Wireless Federated Learning
Federated Learning Orthogonal
Learning Orthogonal Sequences