Scholar
Han Shao
Google Scholar ID: OVRxQj8AAAAJ
Assistant Professor, University of Maryland, College Park
Citations & Impact
Citations
338
H-index
9
i10-index
8
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Will be giving talks at JHU CS theory seminar and UMD CS department seminar on Probably Approximately Precision and Recall Learning in Fall 2025; co-organizing workshops on Reliable and Responsible Foundation Models (ICML) and Incentives for Collaborative Learning and Data Sharing (TTIC, August 13–15) in Summer 2025.
Research Experience
- Currently an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park; previously a CMSA postdoc at Harvard.
Education
- PhD: TTIC, advised by Avrim Blum; CMSA postdoc at Harvard, working with Cynthia Dwork and Ariel Procaccia.
Background
- Research interests span machine learning theory, economics and computation, and algorithmic game theory. During his PhD, he focused on fundamental questions arising from human social and adversarial behaviors in the learning process, examining how these behaviors impact machine learning systems and developing methods to enhance accuracy and robustness.
Miscellany
- Contact: Email hanshao@umd.edu; Office IRB 5132; Actively seeking talented and motivated students to join his research group.
Co-authors