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Xintao Wu, Ph.D. Professor and Charles D. Morgan/Acxiom
Endowed Graduate Research Chair in Database Electrical Engineering & Computer Science Department, JBHT 516 University of Arkansas, Fayetteville, AR 72701 Phone: (479)575-6519, Fax: (479)575-5339 Email: xintaowu at uark dot edu URL: http://www.csce.uark.edu/~xintaowu Zoom: https://zoom.us/j/9274855971
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Dr. Xintao
Wu is the professor and the Charles D. Morgan/Acxiom Endowed Graduate
Research Chair in Database and leads Social
Awareness and Intelligent Learning (SAIL) Lab in Electrical
Engineering and Computer
Science Department at University of Arkansas. He was a Professor (July 2012-June 2014),
an Associate Professor (July 2007-June 2012), and an Assistant Professor
(August 2001-June 2007) of College of Computing and Informatics and led Data
Privacy Lab at University of North Carolina at Charlotte. Dr. Wu’s
major research interests include data mining, data privacy, fraud detection,
fairness aware learning, and big data analysis. His recent research work has
focused on 1) trustworthy AI, in particular, fair,
privacy preserving, and robust machine learning, 2) causal modeling and
inference, in particular, causal representation learning and causal bandits, 3)
trustworthy in-context learning of large language models, and 4) data mining applications
for tabular data, social network data, bioimaging, and healthcare data. Dr. Wu has
co-authored over 170 scholarly papers, many of which were published in
premier conferences such as KDD, WWW, CIKM, ICDM, SDM, IJCAI, AAAI, and NeurIPS, and top journals such as TKDD, TKDE, TDSC,
TOSEM, and Machine Learning. He and his students received several awards
including PAKDD'09 Best Student Paper Runner-up Award, WISE'12 Challenge
Runner-up Award, PAKDD'13 Best Application Paper Award, BIBM13 Best Paper
Award, CNS’19 Best Paper Award, and PAKDD’19 Most Influential Paper Award
(selected from PAKDD’09 proceedings). Dr. Wu
is/was an associate editor or editorial board member of Springer's Journal of
Intelligent Information Systems, InderScience
Publisher's International Journal of Social Network Mining, Spanish Higher
Research Council's Transaction on Data Privacy, Springer’s Social Network
Analysis and Mining, Springer’s Journal of Data Science and Analytics, and
Frontiers’ Data Mining & Management,
and has served on numerous NSF review panels and program committees as
area chair, senior PC, and PC of top international conferences, including ACM
KDD, WWW, CIKM, IEEE ICDM, SIAM SDM, AAAI, IJCAI, PKDD, and PAKDD. He served
as the program co-chair of the 23rd IEEE International Conference on Machine
Learning and Applications (2024), the ACM SIGKDD Workshop on Ethical
Artificial Intelligence: Methods and Applications (2022-2024), the IEEE
International Conference on Big Data (2020) and the 2nd International
Symposium on Data, Privacy and E-Commerce (ISDPE'10), publication co-chair of
KDD15, and award co-chair of DSAA (2018-2019). Dr. Wu is a recipient of NSF
CAREER Award (2006), Excellence in Undergraduate Teaching Award (2005) and
Outstanding Faculty Research Award (2009) from College of Computing and
Informatics at UNC Charlotte, Outstanding Researcher Award (2016, 2023) from
Department of Computer Science and Computer Engineering and John L. Imhoff
Outstanding Research Award (2023) from College of Engineering at University
of Arkansas. Dr. Wu got
his Ph.D. in Information Technology from George Mason University in August
2001. He received his BS degree in Information Science from the University of
Science and Technology of China in 1994, an ME degree in Computer Engineering
from the Chinese Academy of Space Technology in 1997. |
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