Chen Zhao (赵辰)

Assistant Professor
Department of Computer Science
School of Engineering and Computer Science
Baylor University
One Bear Place #97141, Waco, Texas 76798, United States

Adjunct Professor
Department of Information Sciences and Technology
College of Emergency Preparedness, Homeland Security & Cybersecurity
The State University of New York at Albany
1400 Washington Ave, Albany, New York 12222, United States

Email: chen_zhao [at] baylor [dot] edu

Call for papers: Frontiers in Big Data, Frontiers Media SA, Special Issue: Ethical Artificial Intelligence: Methods and Applications.
Call for papers: Mathematics, MDPI, Special Issue: Advances in Trustworthy and Robust Artificial Intelligence.

News []

[12/2024] Two papers are accepted by ICASSP 2025.
[12/2024] One paper is accepted by SDM 2025.
[12/2024] I will serve as a reviewer for ECML PKDD 2025.
[12/2024] I will serve as a reviewer for IJCNN 2025.
[12/2024] I will serve as a reviewer for ICML 2025.
[12/2024] Two papers are accepted by AAAI 2025.
[11/2024] I will serve as a PC member for IJCAI 2025.
[11/2024] One paper is accepted by KDD 2025 (research track).
[11/2024] One paper is accepted by the Journal of ACM Distributed Ledger Technologies: Research and Practice.
[10/2024] I am invited to give a talk by the Department of Computer Science at Brigham Young University.
[10/2024] A tutorial is accepted by AAAI 2025.
[10/2024] Three papers are accepted by the IEEE BigData 2024.
[10/2024] One paper is accepted by the Journal of Frontiers in Big Data.
[10/2024] I will serve as the Guest Editor for the Journal of Frontiers in Big Data, Frontiers Media SA
[10/2024] I will give a talk to AI TIME.
[10/2024] I will serve as a reviewer for PAKDD 2025.
[09/2024] I will serve as a reviewer for AISTATS 2025.
[09/2024] I will serve as the Guest Editor for the Journal of Mathematics, MDPI.
[08/2024] A tutorial is accepted by IEEE BigData 2024.
[08/2024] I will serve as a reviewer for ICASSP 2025.
[08/2024] I will serve as a PC member for WWW 2025.
[08/2024] I will serve as a reviewer for ICLR 2025.
[08/2024] I am invited to serve as the tutorial co-chair for PAKDD 2025.
[08/2024] I will serve as a PC member for AAAI 2025.
[07/2024] One paper is accepted by CIKM 2024.
[07/2024] I will serve as a PC member for ACM SIGKDD 2025.
[07/2024] One paper is accepted by ECAI 2024.
[07/2024] Five papers are accepted by KDD workshops 2024.
[06/2024] I will serve as a reviewer for ACML 2024.
[05/2024] I will serve as a reviewer for NeurIPS 2024.
[05/2024] One paper is accepted by KDD 2024 (research track).
[05/2024] I will serve as a PC member for ICDM 2024.
[05/2024] We're delighted to announce that two workshop proposals (RobustMLDS and TrustML4Health) have been accepted by IEEE Bigdata 2024.
[04/2024] Two papers are accepted by IJCAI 2024.
[04/2024] One paper is accepted by a CVPR 2024 workshop.
[04/2024] I am invited to give a research talk by Equifax Inc.
[04/2024] I will serve as a reviewer for the Journal of Advances in Artificial Intelligence and Machine Learning.
[04/2024] I will serve as a panelist for an NSF panel.
[03/2024] Our new work (distribution shifts on graphs) is now available on ArXiv.
[03/2024] We're delighted to announce that our workshop proposal on Ethical AI has been accepted by KDD 2024.
[03/2024] We're delighted to announce that our workshop proposal on Uncertainty Reasoning and Quantification has been accepted by KDD 2024.
[03/2024] I will serve as a panelist for an NSF panel.
[03/2024] One paper is accepted by IGARSS 2024.
[03/2024] I will serve as the Co-Chair of the IEEE BigData 2024 Big Data Cup Challenges.

[03/2024] I will serve as a PC member for CIKM 2024.

[02/2024] I will serve as a PC member for ECML PKDD 2024.

[02/2024] I will serve as a PC member for IEEE Bigdata 2024.

[02/2024] Our new survey paper (Fairness in Distribution Shifts) is now available on ArXiv.

[01/2024] I will serve as a PC member for ACM SIGKDD 2024.

[01/2024] I will serve as a panelist for an NSF panel.

Biography

I am an Assistant Professor in the Department of Computer Science at Baylor University. Prior to joining Baylor, I was a senior R&D computer vision engineer at Kitware Inc. I earned my Ph.D. degree in Computer Science from the University of Texas at Dallas (UTD) in 2021, advised by Feng Chen. I received dual M.S. degrees in Computer Science and Biomedical Science from the State University of New York at Albany (UAlbany), and Albany Medical College in 2016. My publications have appeared in prestigious conferences and journals, including KDD, CVPR, WWW, AAAI, IJCAI, ICDM, TKDD, etc. I have served as a PC member for several international conferences and workshops, such as NeurIPS, KDD, AAAI, IJCAI, ICML, ICLR, etc.

Education

Ph.D. (Computer Science), The University of Texas at Dallas, 2021.
M.S. (Computer Science), The State University of New York at Albany, 2016.
M.S. (Biomedical Science), Albany Medical College, 2016.

Research

I am generally interested in machine learning, data mining, and trustworthy AI, with a primary focus on

Fairness-aware Machine Learning;
Uncertainty Quantification;
Distribution Shift and Domain Generalization;
Graph Learning;
Causal Learning and Structural Causal Mechanisms.

Awards & Honors

Dissertation Research Award, $1,224, The University of Texas at Dallas, 2021-2022.
Student Travel Award, IEEE International Conference on Data Mining (ICDM), U.S. National Science Foundation, 2020.
First Prize in the 11th "Challenge Cup" National Undergraduate Academic Science and Technology, Tianjin Municipal Education Commission, Top 5% among all works in Tianjin City, 2011.