Cihang Xie
Scholar

Cihang Xie

Google Scholar ID: X3vVZPcAAAAJ
Assistant Professor, University of California, Santa Cruz
Computer VisionMachine Learning
Citations & Impact
All-time
Citations
12,159
 
H-index
40
 
i10-index
70
 
Publications
20
 
Co-authors
90
list available
Resume (English only)
Academic Achievements
  • Published multiple papers across top conferences such as CVPR, NeurIPS, ICLR, and ECCV; involved in or led several projects like CLIPS, Story-Adapter, MedTrinity-25M, etc.; members have served as area chairs for important international conferences including ICML 2025, CVPR 2025, and ICCV 2025.
Research Experience
  • Focused on developing efficient deep learning models that work with minimal supervision; exploring how to maintain model performance when facing (adversarial) data distribution shifts; committed to creating transparent and trustworthy medical AI systems that can function effectively in complex clinical environments; also conducting research into generative AI, including large language models (LLMs) and diffusion models.
Background
  • Research interests span computer vision and machine learning, with a focus on developing efficient deep representation learning with minimal supervision, securing model performance under (adversarial) distribution shifts, building transparent and trustworthy medical AI systems, and generative AI including LLMs and Diffusion Models.
Miscellany
  • Lab members have received various honors, such as the Jack Baskin & Peggy Downes-Baskin Fellowship; also achieved second place in the NeurIPS 2023 Trojan Detection Challenge.