Ph.D. Student
Department of Computer Science
School of Engineering and Computer Science
Baylor University
One Bear Place #97141, Waco, Texas 76798, United States
Email: dong_li1@baylor.edu

News [Update!]

[10/2025] Two tutorials are accepted by ICDM 2025.
[09/2025] Two papers are accepted by NeurIPS 2025 workshops.
[09/2025] A paper is accepted by NeurIPS 2025.
[09/2025] A tutorial is accepted by AAAI 2026.
[07/2025] I will serve as a PC member for AAAI 2026.
[07/2025] I will serve as a PC member for KDD 2026 (August cycle).
[05/2025] A paper is accepted by ACL 2025.
[04/2025] A paper is accepted by IJCAI 2025.
[04/2025] Two tutorials are accepted by IJCAI 2025.
[03/2025] Our survey on Multi-Modal Foundation Models for Computational Pathology is available online (arXiv preprint, 2503.09091).
[01/2025] Our survey on Computational Pathology Foundation Models is available online (arXiv preprint, 2501.15724).
[01/2025] I will serve as the Web Chair for workshop ARRML @ SDM’25.
[01/2025] One tutorial is accepted by SDM 2025.
[01/2025] I serve as a reviewer for ARR 2024.

Biography

I am currently a Ph.D. student in the Department of Computer Science at Baylor University. Prior to this, I earned a Master’s degree from Tianjin University. My main research directions include Large Language Model, Fairness-Aware Machine Learning, Domain Generalization, Computational Pathology, Graph Mining, etc. I have received multiple academic scholarships and national competition awards. My publications have been accepted by top international conferences such as NeurIPS, ACL, IJCAI, CIKM, etc.

Education

• Ph.D. (Computer Science), Baylor University, 2025-present
• M.S. (Computer Science), Tianjin University, 2025
• B.S. (Software Engineering), Tiangong University, 2022

Research

My main research directions include

• Large Language Model
• Fairness-aware Machine Learning
• Domain Generalization
• Computational Pathology
• Graph Mining
• Causal Discovery