معرفی
Jiliang Tang is an MSU Foundation Professor in the Department of Computer Science and Engineering at Michigan State University (MSU), part of the College of Engineering. He holds a PhD from Arizona State University (2015) and previously worked as a research scientist at Yahoo Research. His research focuses on graph machine learning, trustworthy AI, and applications in education and biology. He has received numerous awards, including the 2022 AI's 10 to Watch, IAPR J.K. Aggarwal Award, and NSF CAREER Award.
Education:
- PhD in Computer Science, Arizona State University, 2015 (Advisor: Huan Liu)
Research Interests:
- Graph Neural Networks (GNNs) and Deep Learning on Graphs
- Trustworthy AI: Safety, Robustness, and Fairness
- AI+X Applications: Education Technology and Biological Data Analysis
Awards & Recognition:
- Over 8 best paper awards (or runner-ups)
- Rock Star Award from Association of Chinese Scholars in Computing
- Extensive media coverage for innovations in AI education and biology
Grants & Projects:
- NSF CAREER Award (2019) for research on signed networks
- Co-PI on a $1.7M grant for 5G research
- Leadership in projects like DSE Lab and Data Science initiatives
Labs & Teams: Directs the Data Science and Engineering (DSE) Lab at MSU, focusing on advancing AI for real-world challenges. The lab collaborates with industry leaders and publishes widely in top conferences (e.g., KDD, SIGIR, ACL).
