Jie Wang
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Jie Wang |
Short Bio
I got my PhD in Industrial Engineering from Georgia Institute of Technology, advised by Prof. Yao Xie. I obtained Bachelor in Pure Mathematics from The Chinese University of Hong Kong, Shenzhen. My research develops statistics and optimization methodologies with applications in machine learning.
Awards
Winner, INFORMS 2024 Data Mining Society's Data Competition (1 out of 26)
Runner-up, INFORMS 2024 Computing Society Student Paper Award
Runner-up, INFORMS 2024 Data Mining Best Paper Award Competition
Finalist, Next-Gen Scholar’s Symposium 2024
Finalist, INFORMS 2023 Data Mining Society's Data Competition (4 out of 21)
Winner, Data Mining Best Theoretical Paper, 2023 INFORMS Workshop on Data Mining and Decision Analytics
Travel Award, Mixed Integer Programming Workshop 2023
2022 ISyE Robert Goodell Brown Research Excellence award (Data Science and Statistics Track)
Honorable Mention, Best Student Poster Award, Georgia Statistics Day 2022
Winner, 2022 INFORMS Poster Competition
Best Performance Award for Ph.D. Comprehensive Exam in Statistics, 2021
Travel Award, 2024 IEEE Information Theory Workshop
Travel Award, IEEE International Symposium on Information Theory 2019 and 2024
Talks
9 December 2024, HKUST IEDA Seminar: Regularization for Adversarial Robust Learning
4 December 2024, SJTU ACEM Seminar: Regularization for Adversarial Robust Learning
30 November 2024, CUHK(SZ) SDS Program Seminar: Regularization for Adversarial Robust Learning
18 November 2024, Tsinghua University IE Program Seminar: Regularization for Adversarial Robust Learning
12 November 2024, Singapore University of Technology and Design ESD Pillar Seminar: Regularization for Adversarial Robust Learning
18 October 2024, HKUST(GZ) IoT Thrust Seminar: Regularization for Adversarial Robust Learning
2024 Asilomar Conference on Signals, Systems, and Computers
2024 SIAM Conference on Mathematics of Data Science
2024 INFORMS Annual Meeting, oral talk
2024 Next-Gen Scholar's Symposium
2024 Purdue Operations Conference
2024 IEEE International Symposium on Information Theory (ISIT), Athens, Greece
2024 Princeton Workshop on Optimization, Learning, and Control
2024 International Symposium on Mathematical Programming
2024 ISyE Junior Researcher Workshop
2024 INFORMS Optimization Society Conference
2023 INFORMS Annual Meeting, oral talk and poster presentation
2023 INFORMS Workshop on DMDA
2023 SIAM Conference on Optimization
2023 Mixed Integer Programming (MIP) Workshop
2023 ICERM Linear and Non-Linear Mixed Integer Optimization Workshop
2022 INFORMS Annual Meeting, oral talk and poster presentation
2022 SIAM Seminar at University of Washington
2022 SIAM Conference on Mathematics of Data Science
2022 International Conference on Continuous Optimization
2022 North American School of Information Theory, poster presentation
2022 Artificial Intelligence and Statistics, virtual
2021 INFORMS Annual Meeting, virtual
2021 IEEE International Symposium on Information Theory (ISIT), virtual
2020 IEEE International Symposium on Information Theory (ISIT), virtual
2019 IEEE International Symposium on Information Theory (ISIT), Paris, France
2019 International Conference on Underwater Networks & Systems, Atlanta, Georgia, USA
2018 IEEE International Symposium on Information Theory (ISIT), Vail, Colorado, USA
Service
School Board Member, School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen
The Chair of TA Committee, School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen
Reviewer for OR, MSOM, TIT, JSAIT, TSP, MP, Journal of Global Optimization, Optimization Letters, Systems and Control Letters, AISTATS, ICLR, NeurIPS, [https:icml.cc/ ICML