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Activities
- March 2026: Attend IOS at Atlanta, GA and give a talk on Sinkhorn DRO.
- Sep 2025: Attend 2025 Mathematical and Scientific Foundations of Deep Learning Annual Meeting.
- July 2025: Attend ICCOPT 2025 at USC, Los Angeles and present our work on IAN-SGD.
- June 2025: Got my first long paper accepted by TMLR. Special thanks to my collaborators and AFRL for their supervision and funding support during summer 2024.
- March 2025: Passed the fundamental exam, marking a formal starting point of my PhD journey.
- Dec 2024: Attend NeurIPS 2024 in Vancouver, CA and present our work on Sinkhorn DRO.
- Sep 2023: Attend the Allerton Conference hosted at Allerton Park by UIUC.
Academic Services
- Conference Reviewer: AISTATS
- Journal Reviewer: IEEE TSP; IEEE TPAMI; Journal of Combinatorial Optimization
- Workshop Reviewer: NeurIPS-OPT workshop
Teaching
- At Rice: ELEC241, Fundamentals of Electrical Engineering I
Industry Experience
Summer 2026
Research Intern, Futurewei Technology
TBD
TBD
Summer 2024
PhD contractor Intern, Air Force Research Laboratory (AFRL)
Supported collaborative research on developing adaptive normalization methods, published in TMLR.
Supported collaborative research on developing adaptive normalization methods, published in TMLR.
2020-2021
Undergrad RA, AIRS(Shenzhen)
Collaborative research on developing Deep Learning models for anomaly detection.
Collaborative research on developing Deep Learning models for anomaly detection.
đź“šEducation
2024-now
Ph.D. in Computer Science
Texas A&M University
Texas A&M University
2023-2024
Ph.D. (Transfer Out) in Electrical Engineering
University of Utah
University of Utah
2021-2023
M.S. in Computational Science and Engineering
Rice University
Rice University
2017-2021
B.S. in Applied Math
Chinese University of Hong Kong (Shenzhen)
Chinese University of Hong Kong (Shenzhen)
Prior to university, I finished my elementary education in Jiayuguan.