1613_huang.jpg

Dr. Junzhou Huang

Medical Image Analysis Bioinformatics Machine Learning Computer Vision
The University of Texas at Arlington (UTA) Computer Science and Engineering

About

Dr. Junzhou Huang is the Jenkins Garrett Endowed Professor in the Computer Science and Engineering department at the University of Texas at Arlington. He has been the director of the machine learning center at Tencent AI Lab. He received the B.E. degree from Huazhong University of Science and Technology, Wuhan, China, the M.S. degree from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, and the Ph.D. degree in Computer Science at Rutgers, The State University of New Jersey. His major research interests include machine learning, computer vision, medical image analysis and bioinformatics. His research has been recognized by several awards including the NSF CAREER Award from the National Science Foundation, TensorFlow Model Garden Award from Google, Emerging Leaders from IBM Watson, Accelerate Foundation Models Research Award from Microsoft, four Best Paper Awards (MICCAI'10, FIMH'11, STMI'12 and MICCAI'15) as well as two Best Paper Nominations (MICCAI'11 and MICCAI'14). His research projects are supported by both federal/state agencies and industry (Google, Amazon, Microsoft, IBM, Samsung, XtaiPi, Nokia and Johnson & Johnson). He is a Fellow of American Institute for Medical and Biological Engineering.

Research Performance Summary

557
Total Papers
39213
Total Citations
96
H-Index
2003-2026
Active Research Span

First Recorded Paper

Learning Based Resolution Enhancement of Iris Images.

Year: 2003

Citations: 37

Venue: BMVC

Latest Recorded Paper

Deep learning for ADME prediction

Year: 2026

Citations: 0

Venue: Deep Learning in Drug Design

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
7
2025
32
2024
30
2023
31
2022
60
2021
65
2020
65
2019
43
2018
44
2017
29
2016
23

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 224
Journal 46
Book 12

Top Coauthors

Huang Zhang Wang

Research Impact by Period

2025-2026

Period Stats
Papers 39
Citations 137
Avg. Citations / Paper 3.5
H-Index 5

2020-2024

Period Stats
Papers 251
Citations 16587
Avg. Citations / Paper 66.1
H-Index 59

2015-2019

Period Stats
Papers 163
Citations 14872
Avg. Citations / Paper 91.2
H-Index 47

2010-2014

Period Stats
Papers 83
Citations 5916
Avg. Citations / Paper 71.3
H-Index 31

2005-2009

Period Stats
Papers 13
Citations 1119
Avg. Citations / Paper 86.1
H-Index 9

2000-2004

Period Stats
Papers 8
Citations 582
Avg. Citations / Paper 72.8
H-Index 6

Contact and Professional Links

Contact Information

jzhuang@uta.edu
8172729596

Detected Research Keywords

Graph Convolutional Networks Graph Neural Networks Whole Slide Images Whole Slide Image Multiple Instance Learning Molecular Property Prediction Unsupervised Domain Adaptation Cancer Survival Prediction Domain Adaptation Semantic Adaptation Semantic Segmentation