Bohan Liu

Bohan Liu

PhD Student, Computer Science · University of Virginia

About

I am a PhD student in Computer Science at the University of Virginia, advised by Prof. Aidong Zhang. My research spans vision, language, and robustness — in particular, understanding and mitigating spurious biases in multimodal large language models, and using sparse autoencoders to make model internals interpretable and faithful. I collaborate closely with researchers at UVA, UIUC, Georgia Tech, Waymo, and Amazon AGI.

Before UVA, I completed my BS and Master of Computer Science at the University of Illinois Urbana-Champaign, receiving the Bronze Tablet Award (see the actual tablet; where the tablet locates). As an undergrad I researched urban scene inverse rendering with Prof. Shenlong Wang's group (UrbanIR), and mixed-reality structural monitoring with the Illinois Space Grant Consortium.

Email: [email protected]

Research Interests

Multimodal LLMs Spurious Correlations & Bias Sparse Autoencoders Mechanistic Interpretability Model Robustness Retrieval-Augmented Generation
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Selected Publications

Towards Robustness against Typographic Attack with Training-free Concept Localization
Bohan Liu, Wenqian Ye, Guangzhi Xiong, Zhenghao He, Sanchit Sinha, Aidong Zhang
ECCV 2026 paper ↗
MM-SPUBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs
Wenqian Ye, B Liu, G Zheng, D Wang, X Cao, Y Ma, B Lai, JM Rehg, A Zhang
KDD 202631 citations paper ↗
Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
G Xiong, Z He, B Liu, S Sinha, A Zhang
ICLR 202611 citations paper ↗
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video
CH Lin, B Liu, YT Chen, KS Chen, D Forsyth, JB Huang, A Bhattad, et al.
3DV 202521 citations paper ↗

Full list on the Publications page and Google Scholar.

Service

Peer Review
Reviewer · NeurIPS · 2026
Reviewer · AAAI · 2027
Teaching & Mentoring
Teaching Assistant · CS 415 Game Development, CS 410 Text Information System · UIUC 2023–24
Course Assistant · CS 125 Introduction to Computer Science · UIUC 2020
Mentor · Worldwide Youth in Science and Engineering (WYSE) · UIUC 2022