Published 'Hidden in Plain Sight: Reasoning in Underspecified and Misspecified Scenarios for Multimodal LLMs' in EMNLP 2025 Main
Published 'Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models' in ACL 2025 Findings
Published 'Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQA' in ACL 2025 Findings
Published 'Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA' in ACL 2024
Published 'Med-HVL: Automatic Medical Domain Hallucination Evaluation for Large Vision-Language Models' in AAAI 2024 Spring Symposium on Clinical Foundation Models
Will be hosting the 4th ALVR workshop at ACL 2026
One paper accepted to EMNLP 2025, attending EMNLP 2025 in Suzhou, China
Joining Oracle Health AI as a research intern in the 2025 summer
Attending Neurips 2024 and presenting at the GenAI4Health Workshop
Joining eBay as a research intern in the 2024 summer
Education
2025 - present: Ph.D. in Computer Science, University of California, Santa Barbara, Advisor: Prof. Xin (Eric) Wang
2023 - 2025: Ph.D. in Computer Science, University of California, Santa Cruz
2021 - 2023: B.S.E. in Computer Science, University of Michigan (Ann Arbor)
2019 - 2023: B.S.E. in Electrical and Computer Engineering, Shanghai Jiao Tong University
2020: Visiting Student, Technische Universität Berlin
Background
Research interests: multimodal large language models, trustworthy AI models, and AI for healthcare. Currently a CSE Ph.D. student at the University of California, Santa Barbara, under the supervision of Prof. Xin (Eric) Wang.