Scholar
Haoyue Bai
Google Scholar ID: KQ9HkfcAAAAJ
University of Wisconsin-Madison
Citations & Impact
Citations
1,409
H-index
10
i10-index
11
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- One journal paper OoDBench+ accepted to TPAMI 2025; two papers accepted for presentation at NeurIPS 2025 MATH-AI; one poster and a lightning talk accepted to Agentic AI Summit 2025; passed Ph.D. preliminary exam and entered dissertation stage; selected as an exemplar PhD qualifying exam by UW–Madison CS GAC; one poster accepted to Midwest Machine Learning Symposium 2025; one paper on Black box AI Generated Content Detection accepted to CVPR 2025; two journal papers OLHF and ALOE accepted to TMLR 2025; one paper AHA accepted to NeurIPS 2024; EB-1A (Extraordinary Ability) petition approved in the second year; OpenAI Superalignment Fellowship recipient; one paper HYPO accepted to ICLR 2024.
Research Experience
- Graduate visiting researcher at UC Berkeley, working with Prof. Dawn Song and Dr. Yiyou Sun. Collaborated with Prof. Sharon Li (UW-Madison), Dr. Wei Cheng (NEC Labs America), and Prof. Bolei Zhou (UCLA) during graduate studies.
Education
- Ph.D. candidate at the Computer Sciences Department, University of Wisconsin-Madison, advised by Prof. Robert Nowak; Master's degree from The Hong Kong University of Science and Technology, supervised by Prof. S.-H. Gary Chan; Bachelor's degree from Zhejiang University.
Background
- Research interests: foundations and algorithms for trustworthy AI, developing reliable machine learning in the open-world. Specific areas include: out-of-distribution (OOD) learning, quantifying distribution shifts in the wild, machine learning techniques with provable guarantees, addressing safety issues in foundation models, and data-efficient machine learning.
Miscellany
- Welcomes junior PhD, master, and undergraduate students to reach out for discussions on life, career planning, graduate school applications, or research ideas related to AI/ML, especially those from underrepresented groups.
Co-authors