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Dongxiao Zhu

Trustworthy AI Adversarial Robustness Explainable AI Fairness In AI Spatiotemporal Mismatch In Urban Computing
Wayne State University Computer Science

About

Dongxiao Zhu is currently a Professor at Department of Computer Science, Wayne State University. He received the Ph.D. from University of Michigan, Ann Arbor (2006). Dongxiao Zhu's recent research interests are in Trustworthy AI and Applications to Social, Health, and Urban computing with focus on adversarial robustness, explainability, fairness, and S&P. Dr. Zhu is the Founding Director of Wayne AI Research Initiative, Inaugural Co-Director, Institute for AI and Data Science, and the Director of Trustworthy AI Lab at Wayne State University. He has published over 100 peer-reviewed publications and served on program committees (AC/SPC/PC) of flagship AI/Machine Learning conferences (NuerIPS, ICML, ICLR, AAAI, IJCAI, ACL, EMNLP, CVPR, AMIA, MICCAI) and of premier biomedical informatics journals (Bioinformatics, Nucleic Acids Research, Journal of Medical Internet Research, Medical Physics, Small, BMC Genomics, Transportation Research, and Frontiers in Genetics). Dr. Zhu's research has been supported by NIH, NSF and private agencies and he has served on multiple NIH and NSF grant review panels. Dr. Zhu has advised numerous students at undergraduate, graduate and postdoctoral levels and his teaching interest lies in programming language, data structures and algorithms, machine learning and data science. In addition to foundational AI research, Dr. Zhu also pursues use-inspired AI research in life, physical and social science domains. He is passionate about leveraging AI for science and social good. And his recent work in developing robust, fair and explainable AI algorithms and systems to ameliorate spatiotemporal mismatch between housing and employment, future of work, and reducing health disparities have been featured in Detroit PBS, WJR radio and Hour Detroit Magazine, just to name a few, manifesting his continuous efforts in achieving the sustainable development goals such as zero hunger, better cyber-social behaviors, good health and well-being, and reduced inequalities in socially vulnerable regions/groups. Dr. Zhu is also deeply engaged in AI education. As the program’s Founder and Inaugural Director, he led the efforts to launch Wayne State’s M.S. in AI (Algorithm & Software track), regularly teaches foundational AI courses, and actively leads initiatives to increase AI literacy among faculty and students, ensuring that the benefits of AI scholarship and practice extend across disciplines.

Research Performance Summary

147
Total Papers
4754
Total Citations
37
H-Index
2005-2025
Active Research Span

First Recorded Paper

Structural comparison of metabolic networks in selected single cell organisms

Year: 2005

Citations: 113

Venue: BMC bioinformatics 6 (1), 8

Latest Recorded Paper

Longitudinal mechanical imaging of metastatic tumor spheroids using Brillouin microscopy

Year: 2025

Citations: 0

Venue: Optical Elastography and Tissue Biomechanics XII, PC133210U

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
13
2024
7
2023
18
2022
10
2021
7
2020
12
2019
3
2018
13
2017
5
2016
6
2015
4

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 63
Journal 18
Book 2

Top Coauthors

Zhu Qiang

Research Impact by Period

2025-2026

Period Stats
Papers 13
Citations 152
Avg. Citations / Paper 11.7
H-Index 5

2020-2024

Period Stats
Papers 54
Citations 1382
Avg. Citations / Paper 25.6
H-Index 21

2015-2019

Period Stats
Papers 31
Citations 677
Avg. Citations / Paper 21.8
H-Index 14

2010-2014

Period Stats
Papers 28
Citations 574
Avg. Citations / Paper 20.5
H-Index 11

2005-2009

Period Stats
Papers 21
Citations 1969
Avg. Citations / Paper 93.8
H-Index 11

Contact and Professional Links

Contact Information

dzhu@wayne.edu
3135773104

Detected Research Keywords

Events Rna Seq Children Without Severe Sars Cov Infection Covid Mobilexpert Device Mobilexpert Device Covid Device Covid 19 Improved Photoacoustic Brain Photoacoustic Brain Imaging Gene Microarray Data Active Survival Analysis