Scholar
Xinyi Zhou
Google Scholar ID: 9U_Ge4MAAAAJ
Assistant Professor, Boise State University
Citations & Impact
Citations
5,198
H-index
19
i10-index
20
Publications
20
Co-authors
26
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- - Publications in journals like CSUR (impact factor: 28) and conferences including WWW, CHI, KDD, CIKM, WSDM, and ICWSM, with 5000+ citations
- - Recognized as a Rising Star in EECS by MIT (2024) and as a Rising Star in Data Science by UCSD, UChicago, and Stanford (2024)
- - Received funding as (Co-)PI from the UW Allen School, Population Health Initiative, Garvey Institute for Brain Health Solutions, and Center for an Informed Public
- - Co-chair for the WSDM 2026 Doctoral Consortium, served on program committees for conferences such as KDD, WWW, AAAI, and SIGIR, reviewed for journals including TPAMI, TKDE, TOIS, TIFS, and TMM
Research Experience
- - Assistant Professor in the Computer Science Department at Boise State University, where she directs the MIND (Machine Intelligence and Data) Lab
- - Former Postdoctoral Scholar at the Paul G. Allen School of Computer Science and Engineering, University of Washington
Education
- - Ph.D. in Computer and Information Science and Engineering from Syracuse University
- - Postdoctoral Scholar at the Paul G. Allen School of Computer Science and Engineering, University of Washington
Background
- Research interests include: Trustworthy Generative AI, Human-Centered LLMs, Multimodal Machine Learning, LLM Agents, and Interdisciplinary & Applied AI. Focused on developing novel, practical, and trustworthy methods in machine learning, data science, and human–AI interaction to tackle social challenges involving complex data and to enhance human capabilities.
Miscellany
- Dedicates 30 minutes each week to connect with and mentor junior researchers and students at all levels, helping them in their personal and professional growth.
