About Me
I am a Ph.D. student at the School of Information of University of Michigan advised by Professor Paramveer Dhillon. Also, I am honored to work closely with Professor Qiaozhu Mei and Yixin Wang. Before that, I earned my B.S. degree in Computer Science from The Ohio State University, transferred from the School of Informatics at Xiamen University where I majored in Computer Science and Technology. I've also been lucky to work with Professor David Jurgens at Blablablab and Professor Ruihong Huang in Texas A&M University.
I am broadly interested in natural language processing, machine learning, causal inference, human-AI collaboration, and computational social science.
Publication
- Causal Inference for Human-Language Model Collaboration 🔗
Bohan Zhang, Yixin Wang, Paramveer Dhillon
Forthcoming In Main Conference of NAACL 2024
- Classification without (Proper) Representation: Political Heterogeneity in Social Media and Its Implications for Classification and Behavioral Analysis 🔗
Kenan Alkiek, Bohan Zhang, David Jurgens
In Findings of ACL 2022
- Predicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure 🔗
Bohan Zhang, Prafulla Kumar Choubey, Ruihong Huang
In Main Conference of ACL 2022
- CoGT: Ensemble machine learning method and its application on JAK inhibitor discovery 🔗
Yingzi Bu*, Ruoxi Gao*, Bohan Zhang*, Luchen Zhang, Duxin Sun
ACS Omega 2023
Poster Presentation
- Ranking & Reweighting Improves Group Distributional Robustness 🔗
Yachuan Liu*, Bohan Zhang*, Qiaozhu Mei, Paramveer Dhillon
Midwest Machine Learning Symposium 2023
Education
Working Experience
- Initium. AI
Machine Learning Software Engineering Intern
May 2021 -- Aug 2021
- The Ohio State University
Student Instructor Assistant of CSE2421: Introduction to Low-level Programming and Computer Organization
Jan 2019 -- May 2020
Service
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Regular Reviewer for *CL, WWW, KDD.
Misc
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Email