Jie Wang

alt text 

Jie Wang
Fourth Year Ph.D. Student
H. Milton Stewart School of Industrial and Systems Engineering(ISyE)
Georgia Institute of Technology
Contact: Email, Github
CV (Updated on 2024-02-12)

Research

Advisor: Professor Yao Xie

My research interests include optimization, statistics, and information theory. Currently I am focusing on various machine learning problems with Optimal Transport.

I am very fortunate to learn how to do research from Professor Rui Gao, Professor Hongyuan Zha, Professor Shenghao Yang, Professor Yin Zhang, and Professor Xinyun Chen.

Service

Reviewer for TIT, JSAIT, TSP, MP, Journal of Global Optimization, Optimization Letters, Systems and Control Letters, AISTATS, ICLR, NeurIPS, ICML

News

  • Please come to my presentations at the 2023 INFORMS Annual Meeting:

    • Session TA10: October 17, 2023, 8:00 AM–9:15 AM, CC North 123 (Second speaker)
      Paper: Entropic Regularization for Adversarial Robust Learning

    • Session SP: October 15, 2023, 12:45 PM–2:00 PM, CC-North Exhibit Hall (Poster presentation for INFORMS Poster Competition)
      Paper: Variable Selection For Kernel Two-sample Tests

    • Session MD88: October 16, 2023, 2:15 PM–3:30 PM, CC-North Exhibit Hall (Poster presentation for QSR Best Student Poster Competition)
      Paper: Variable Selection For Kernel Two-sample Tests

    • Session DMDA O. October 14, 2023, 2:50 PM-4:20 PM, Room 127 A|B (Finalist presentation for the 18th INFORMS DMDA Workshop Best Paper Competition Award)
      Paper: Entropic Regularization for Adversarial Robust Learning

    • Session DMDA C. October 14, 2023, 4:30 PM – 6:00 PM (Finalist presentation for the 18th INFORMS DMDA Workshop Data Challenge Competition)
      Paper: Reliable Offline Pricing in eCommerce Decision-Making: A Distributionally Robust Viewpoint

  • My co-authors will give presentations at the 2023 INFORMS Annual Meeting:

    • Session SE33: October 15, 2023, 4:00 PM - 5:15 PM, CC-North 221C (by Yao Xie, fourth speaker)
      Paper: Variable Selection For Kernel Two-sample Tests

    • Session SD24: October 15, 2023, 2:15 PM - 3:30 PM, CC-North 130 (by Yifan Hu, second speaker)
      Paper: Contextual Stochastic Bilevel Optimization And End-to-end Learning

  • I passed the thesis proposal in 2023-01-27!

  • I am planning to give thesis proposal presentation on 2023 spring semester!

  • Win the 2022 ISyE Robert Goodell Brown Research Excellence award (Data Science and Statistics Track)!

  • Win the Best Student Poster Award (Honorable Mention) at Georgia Statistics Day 2022!

  • Win the 2022 INFORMS Best Poster Award! Poster titled “Sinkhorn Distributionally Robust Optimization”.

  • Win the Best Performance Award for Ph.D. Comprehensive Exam in Statistics in 2021!

  • I am back to Atlanta and start my second-year Ph.D. study.

  • Due to visa restrictions, I will start the Ph.D. study online at the first year. Currently I am also a visiting student at SSE until August, 2021.

  • Obtained Bachelor's degree in Pure of Mathematics Major from CUHK(SZ) in June, 2020.