Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published over 200 top-ranked conference and journal papers with 7000+ citations according to Google Scholar
- Received multiple awards, including Best Paper Award and Best Student Paper Award at IEEE ICC’19, AAAI DLGMA’20, and KDD DLG’19
- Holds over 65 US patents and was appointed as an IBM Master Inventor in 2020
- Author of the book 'Graph Neural Networks: Foundations, Frontiers and Applications', which has sold more than 10,000 hard copies and over 300,000 digital downloads worldwide
Research Experience
- Engineering Leader in Content Understanding at Pinterest, leading a group of applied scientists, software engineers, and product managers on various projects using large language models (LLMs) and Generative AI technologies
- Principal Scientist at JD.COM Silicon Valley Research Center, leading a team to build next generation LLMs-powered E-commerce systems
- Research Staff Member at IBM Thomas J. Watson Research Center, leading a team developing novel Graph Neural Networks methods and systems
Education
Ph.D. in Computer Science from the College of William and Mary
Background
Research interests include artificial intelligence, machine learning, and natural language processing. Currently, he is the Co-founder and CEO of Anytime.AI, a generative AI startup that aims to boost efficiency and effectiveness in the legal field.
Miscellany
TEDx speaker, with a talk titled 'AI in Law: A Mandate, Not An Option'.