profile picture

Zhongyi Han

out-of-distribution detection

source-free domain adaptation

discriminability and transferability estimation

a bayesian perspective

channel-aware typical features

test-time detection

3

presentations

SHORT BIO

Zhongyi Han received the B.Eng. and M.M. degrees from the Shandong University of Traditional Chinese Medicine, in 2016 and 2019, respectively. He is currently pursuing the Ph.D. degree with the Artificial Intelligence Research Center, Shandong University, supervised by Prof. Yilong Yin. He had been a Visiting Student at the University of Western Ontario, Canada. He has published over twenty papers in leading international journals and conferences. His research interests include machine learning, computer vision, and medical image analysis.

Presentations

Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation

Zhongyi Han and 6 other authors

Not All Parameters Should be Treated Equally: Deep Safe Semi-Supervised Learning under Class Distribution Mismatch

Rundong He and 3 other authors

Exploring Channel-Aware Typical Features for Out-of-Distribution Detection

Rundong He and 7 other authors

Stay up to date with the latest Underline news!

Select topic of interest (you can select more than one)

PRESENTATIONS

  • All Presentations
  • For Librarians
  • Resource Center
  • Free Trial
Underline Science, Inc.
1216 Broadway, 2nd Floor, New York, NY 10001, USA

© 2025 Underline - All rights reserved