CV

My CV is available in PDF format here.

Education

B.S. in Computer Science with a Minor in Economics, University of Colorado Boulder, 2016 - 2020.
M.S. in Computer Science, University of Southern California, 2020 - 2022.
Ph.D in Computer Science, University of Notre Dame, 2022 - Now.

Aug. 2024 - Dec. 2024 Research Intern
- Amazon, Inc
May. 2021 - Jun. 2022: Project Researcher & Software Developer (Intern)
- Edtera, Inc
May. 2019 - Aug. 2019: Software Engineering (Intern)
- Tencent Co., Inc
Jun. 2018 - Aug. 2018: Lecture Assistant (Intern)
- Baidu Institute of Technology

General:
- Machine Learning, Deep Learning, Generative AI, Data Mining, Natural Language Processing, AI for Education.
Research Direction:
- (Hyper)Graph Representation Learning, Graph Prompt Learning, Large Language Models (LLMs), Self-supervised Learning.
Application:
- Drug Trafficking on Social Media, Community Detection.

Qian, Y., Ma, T., Zhang, C., & Ye, Y. Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. In WWW 2024.

Ma, T., Qian, Y., Zhang, C., & Ye, Y. Hypergraph Contrastive Learning for Drug Trafficking Community Detection. In ICDM 2023.

Ma, T., Qian, Y., Zhang, C., & Ye, Y. Adaptive Expansion for Hypergraph Learning

December 01, 2023

Talk at 23rd IEEE International Conference on Data Mining, Shanghai, China (online)

Conference Program Committee Member: ICLR’25, KDD’24, CIKM’24, SDM’25, COLING’{24-25}.
Journal Reviewer:
- Transactions on Big Data.
- Discover Data.
- Transactions on Dependable and Secure Computing.
Outreach Program Judger:
- Learning Sphere Projects at Northpoint Elementary School, 2024
- Learning Sphere Projects at Northpoint Elementary School, 2023
Teaching Assistant Leader:
- Computer Security (CSE-40567/60567), SPR2024.
Volunteer:
- Purdue CDF Freedom School, 2023
Research Mentor:
- ND Summer Enrichment Program, 2024