Scholar
Weizhi Li
Google Scholar ID: QXhFzzwAAAAJ
The University of Tennessee Health Science Center
Citations & Impact
Citations
191
H-index
5
i10-index
4
Publications
18
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Advanced Tutorial: Label-Efficient Two-Sample Tests, WSC'24
- Active Sequential Two-Sample Testing, TMLR
- A Label-Efficient Two-Sample Test, UAI'22
- Finding the Homology of Decision Boundaries with Active Learning, NeurIPS'20
- Regularization via Structural Label Smoothing, AISTATS'20
- Adaptive Noise-Tolerant Network for Image Segmentation
- Noise-tolerant Deep Learning for Histopathological Image Segmentation, ICIP'17
- The Effects of Image Dehazing Methods Using Dehazing Contrast-Enhancement Filters on Image Compression, KSII Transactions on Internet & Information Systems, 10(7)
- Image Co-saliency Detection and Co-segmentation via Progressive Joint Optimization, IEEE Transactions on Image Processing, 28(1), 56-71
Research Experience
- Postdoctoral Researcher at Los Alamos National Lab
Education
- Ph.D. in Computer Engineering from Arizona State University (Advisor: Not explicitly mentioned)
Background
- Research interests include developing useful machine learning (ML) algorithms, particularly those supported by statistical theory, for the benefit of human society. Focused on applying ML approaches to propel scientific discovery as well as advancements in the healthcare domain. Initial research began with image processing and compression, evolved to the design of ML and deep learning algorithms.
Miscellany
- Email: weizhi0908@gmail.com
Co-authors