Chen Zhao Chen Zhao, Baylor University.
Short bio: Dr. Zhao is an Assistant Professor at the Department of Computer Science at Baylor University. He received his Ph.D. in Computer Science from the University of Texas at Dallas in 2021. Dr. Zhao’s research interests include large-scale data mining, machine learning and computer vision with a focus on fairness-aware machine learning and novelty detection. His research has been accepted and published in premier conferences, including KDD, CVPR, ICASSP, AAAI, WWW, ICDM, PAKDD, etc. Besides, Dr. Zhao served as PC members of top international conferences, such as KDD, NeurIPS, ICDM, AAAI, IJCAI, SDM, BigData, ECMLPKDD, AISTATS, WSDM, WACV, etc.
Feng Chen Feng Chen, The University of Texas at Dallas
Short bio: Dr. Chen is an Associate Professor at the Department of Computer Science at the University of Texas at Dallas, where he directs the Pattern Discovery and Machine Learning Laboratory. He was previously an Assistant Professor at University at Albany – SUNY and a Postdoctoral Fellow at Carnegie Mellon University. He received his Ph.D. in Computer Science from Virginia Tech in 2012. Dr. Chen’s research interests include large-scale data mining, network mining, and machine learning, with a focus on event and pattern discovery in massive, complex networks. His research has been funded by NSF, NIH, ARO, IARPA, and the U.S. Department of Transportation, and published in more than 100 peer-reviewed in premier conferences, such as KDD, ICDM, WWW, CIKM, AAAI, IJCAI, ICML, and NeurIPS, and in top journals, such as TKDD, TKDE, TIST, KAIS, and Proceedings of the IEEE. He is a recipient of NSF CAREER award in 2018 and the NSF FAI award entitled “A Novel Paradigm for Fairness-Aware Deep Learning Models on Data Streams” in 2022 as the principal investigator (PI).
Xintao Wu Xintao Wu, University of Arkansas
Short bio: Dr. Wu is a Professor and the Charles D. Morgan/Acxiom Endowed Graduate Research Chair in Database and leads Social Awareness and Intelligent Learning (SAIL) Lab in Computer Science and Computer Engineering Department at University of Arkansas. Dr. Wu has co-authored over 150 scholarly papers, many of which were published in premier conferences. Dr. Wu is an associate editor or editorial board member of several journals and program committees as area chair, senior PC, and PC of top international conferences. He also served as the program co-chair of the 2020 IEEE International Conference on Big Data, publication co-chair of KDD15, and award co-chair of DSAA 18 & 19. Dr. Wu gave multiple tutorials on causality-based ethical AI in top international conferences, including ACM KDD and IEEE BigData.
Jiayu Zhou Jiayu Zhou, Michigan State University.
Short bio: Dr. Zhou is an associate professor at Department of Computer Science and Engineering, Michigan State University. Before joining MSU, Jiayu was a staff research scientist at Samsung Research America. Jiayu received his Ph.D. degree in computer science at Arizona State University in 2014. Jiayu has a broad research interest in large-scale machine learning and data mining, and biomedical informatics.
Haifeng Chen Haifeng Chen, NEC Laboratories America.
Short bio: Dr. Haifeng Chen is heading the Data Science and Systems Security Department at NEC Laboratories America. Haifeng has served on the program committee for several top conferences, such as SigKDD and AAAI, and has been on the panel of NSF programs. He has co-authored more than a hundred conference/journal publications, including best papers from top conferences such as SigKDD, and has over 60 patents. Most research results have led to advanced solutions and products for various industrial domains, including IT & data centers, network security, power plants, petroleum, satellite, natural disaster, finance, and retail businesses. In recognition of his extraordinary research contribution, Haifeng has received many awards in the past years, including the 2014 “NEC Contributors of the Year.”

Program Committee