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Zhenyi Wang
Continual Learning
Trustworthy AI
Data-efficient Learning
About
Zhenyi Wang is an assistant professor of computer science at the University of Central Florida and a member of the Institute of Artificial Intelligence. Before joining UCF, he earned his doctoral degree from State University of New York at Buffalo. His research interests focus on continual learning, trustworthy AI and data-efficient learning.
Research Performance Summary
2018-2025
Active Research Span
First Recorded Paper
Location augmentation for cnn
Year:
2018
Citations:
19
Venue:
arXiv preprint arXiv:1807.07044
Latest Recorded Paper
Teleportation: Defense against Stealing Attacks of Data-Driven Healthcare APIs
Year:
2025
Citations:
0
Venue:
IEEE Transactions on Artificial Intelligence
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
Wang
Shen
Tao
Research Impact by Period
Papers
7
Citations
30
Avg. Citations / Paper
4.3
H-Index
3
Papers
37
Citations
1373
Avg. Citations / Paper
37.1
H-Index
20
Papers
1
Citations
19
Avg. Citations / Paper
19
H-Index
1
Contact and Professional Links
Detected Research Keywords
Data Free Meta
Free Meta Learning
Model Merging Task
Merging Task Learning
Distributionally Robust Memory
Robust Memory Evolution
Meta Learning Without
Learning Without Data
Against Data Free
Data Free Model