Education

Arizona State University (ASU), Tempe, Arizona
Ph.D., Computer Science
Advisor: Dr. Huan Liu, Fellow of ACM, IEEE, AAAI, and AAAS

Harvard University, Cambridge, Massachusetts
Visiting Scholar, Medical School
Advisor: Dr. Kun-Hsing Yu

Carnegie Mellon University (CMU), Pittsburgh, Pennsylvania
M.S., Electrical and Computer Engineering
Advisor: Dr. Kun Zhang & Dr. Manish Pandey

Huazhong University of Science and Technology (HUST), Wuhan, Hubei
B.S., Electrical Engineering

Industrial Experiences

Memberships: IEEE, AAAI, ACM, SIAM, AAAS

Journal Reviewer: IEEE TPAMI; IEEE TNNLS; IEEE TKDE; ACM TKDD

Area Chair: IEEE DSAA 2025

Conference Program Committees / Reviewer:

Data Mining & Information Retrieval: KDD, WWW, WSDM, SIGIR, etc. (2022–2025)
Machine Learning & AI: ICLR, ICML, NeurIPS, AAAI, IJCAI, AISTATS etc. (2023–2025)
Natural Language Processing: ACL, EMNLP, NAACL, EACL, etc. (2023–2025)
Computer Vision: CVPR, ICCV, ECCV, etc. (2024–2025)

Workshop & Tutorial Organization:

Workshop: Lock-LLM: Prevent Unauthorized Knowledge Use from Large Language Models — Deep dive into un-distillable, un-finetunable, un-compressible, un-editable, and un-usable LLMs.
Organized by Z. Tan et al. at NeurIPS 2025.
Website 🔗
Tutorial: Explaining the ‘Unexplainable’ Large Language Models.
Presented by Z. Tan et al. at ICDM 2025.
Tutorial: Explaining the ‘Unexplainable’ Large Language Models.
Presented by Z. Tan et al. at WSDM 2026.

Research Awards and Scholarships

Travel Awards