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Curriculum Vitae

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👋 I am Xinyi (pronounced “sheen-yee”), an Assistant Professor in the Computer Science Department at Boise State University, directing the Machine Intelligence and Data Lab (MIND Lab). Previously, I was a Postdoctoral Scholar in the Paul G. Allen School of Computer Science and Engineering at the University of Washington. I earned my PhD in Computer and Information Science and Engineering from Syracuse University. I was recognized as a Rising Star in EECS by MIT (2024) and in Data Science by UCSD, UChicago, and Stanford (2024).

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CALL FOR PAPERS - The special issue “Explainable AI and Network Science for Social Systems and Collective Intelligence” in Information Processing & Management (impact factor: 8.1) is now accepting submissions. More details are available here.

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OPEN POSITIONS - My lab offers fully funded graduate student positions and welcomes undergraduate students. If you are interested in working with me, please email me with a brief introduction, your research interests, how your background aligns with our lab’s work, and your transcript and CV/resume.

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(Due to the volume of messages and my availability, I may not be able to respond to every email. However, all prospective student materials will be carefully reviewed, typically once a month.)

🎓 My research advances machine learning and foundation models for social impact, integrating data- and human-centric approaches to shape intelligent futures that benefit people. Current interests include, but are not limited to:

• Trustworthy AI
• Human-AI collaboration and interaction
• AI agents
• Future of work / health / education

My work has been published in journals such as CSUR (impact factor: 30.4) and at conferences including WWW, CHI, CIKM, WSDM, and ICWSM. My research has received 6,000+ citations and has been featured in the ACM Showcase, The Data Exchange, HPCwire, and Psychology Today. As PI/Co-PI, I have received research funding from Boise State and UW (Paul G. Allen School, School of Medicine, Population Health Initiative, and Center for an Informed Public). I co-chaired the WSDM 2026 Doctoral Consortium and serve on the editorial board of Humanities and Social Sciences Communications and as an associate editor for Frontiers in AI. I also serve on program committees for conferences such as WWW, KDD, and AAAI, and review for journals including TPAMI, TKDE, TOIS, TIFS, and TMM. My collaborations span academia, industry, nonprofits, and government.

News

October 2026

• New paper available on arXiv.
• Appointed Editorial Board Member for Humanities and Social Sciences Communications.

September 2026

• Invited to serve as a PC member for WWW 2027.

July 2026

• Appointed Faculty Fellow for Idaho AI Combine.

June 2026

• Received Boise State TRANSFORM Seed Grant as PI. Our lab will collaborate with the Idaho Policy Institute and the City of Meridian on human-centered AI for real-world impact.
• Appointed Associate Editor for Frontiers in AI.
• Invited to serve as a PC member for ICDM 2026, AAAI 2027, and KDD 2027 D&B.

May 2026

• Will attend ICWSM 2026 and 2026 RAISE Health Symposium. See you in Los Angeles and Stanford.
• Spoke as a panelist at Boise State 2026 AI Institute for Teaching and Learning Workshop.

April 2026

• Honored to receive the Early Scholar Award. Grateful to the department, college, and committee for support.
• One paper accepted to SocialLLM @ ICWSM 2026. Congrats to Prabal Shrestha, MS student in our lab, on being the leading author.
• Invited to serve as a PC member for CIKM 2026.

March 2026

• Congrats to Ben Peterson, PhD student in our lab, on receiving an NSF ACCESS travel grant.
• Serve as a Guest Editor for Information Processing & Management (CFP). Thanks to Tao Wen for leading this effort.
• Will attend 2026 Healthy Idaho CTR-D Conference. See you in Boise.

February 2026

• One paper accepted to Scientific Reports. Thanks to Haoning Xue for leading this effort.
• Will attend WSDM 2026 and chair the Doctoral Consortium track. See you in Boise.

January 2026

• Spoke as a panelist in the Idaho Technology Council Spark Series Online Workshops.
• One paper accepted for presentation at ICA 2026.
• More

Recent Work

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