Mentorship
Research mentorship
Building researchers, one project at a time.
I mentor students across different stages and institutions on research in efficient AI systems and generative models.
Prospective Mentees
I care far more about your potential to grow as a researcher than the number of papers on your CV. If you are interested in working together, please feel free to get in touch. I am particularly excited to hear from students with prior research experience, a strong academic record, intellectual curiosity, and the initiative to take ownership of challenging problems.
Current Research Mentees
Current students and interns work on projects spanning multimodal generative models, low-rank methods, and efficient AI algorithm–system co-design.
Lixun Zhang
Duke University · M.S. in Computer Science
Research: DecodeShare · ICML 2026 Spotlight
Wenhao Wu
Duke University · M.S. in Electrical and Computer Engineering
Research: FlashSVD v1.5
Mingrun Jiang
Duke University · ECE Ph.D. student
B.S. in Tsinghua University, Yao Class
Liang Tian
Duke Kunshan University · Undergraduate student
Ke Li
Peking University · Turing Class
Georgiy Zemlevskiy
Duke University · Undergraduate student
Alumni
Ting Jiang
Duke University undergraduate
Outcome: Ph.D. student in the Language Technologies Institute at Carnegie Mellon University.
Earlier Mentoring & Teaching
Data+ Project Manager, Duke Rhodes iiD
Summer 2025 · Advisor: Dr. Gregory Herschlag
Mentored a three-person team on textual analysis for agricultural research.
Peer Tutor, Center for Learning, Access, and Student Success (CLASS), Wake Forest University
October 2021 – December 2023
Provided in-person computer science tutoring and study support for undergraduate students.