Scholar
Bojian Hou
Google Scholar ID: yFVd81sAAAAJ
Meta
Citations & Impact
Citations
653
H-index
11
i10-index
11
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'IRIS: Interpretable Risk Clustering Intelligence for Survival Analysis' accepted by IEEE BigData 2025, 'Advanced Topic Modeling with Large Language Models: Analyzing Social Media Content from Dementia Caregivers' accepted by Innovation in Aging, 'Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization' accepted by NeurIPS 2025, 'Fair CCA for Fair Representation Learning: An ADNI Study' accepted by ACM BCB 2025, 'Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs' accepted by ACM BCB 2025, which won the Best Paper Award, and more.
Research Experience
- Worked as a postdoctoral researcher in the Department of Biostatistics, Epidemiology and Informatics at the University of Pennsylvania. Currently, he is an AI Research Scientist at Meta, working on large-scale machine learning and artificial intelligence systems.
Education
- Received his B.Sc. and Ph.D. degrees from the Department of Computer Science at Nanjing University in 2014 and 2020, respectively, under the supervision of Prof. Zhi-Hua Zhou. He was a postdoctoral researcher in the Department of Biostatistics, Epidemiology and Informatics at the University of Pennsylvania, advised by Prof. Li Shen.
Background
- An AI Research Scientist at Meta, focusing on large-scale machine learning and artificial intelligence systems. His current work centers on ranking, recommendation, retrieval, as well as large language models (LLMs) and multimodal generative AI.
Miscellany
- Organized the Vision-Based AI for Digital Health: From Pixels to Practice (VADH'25) workshop at ICCV 2025.
