Scholar
Yiyang Zhou
Google Scholar ID: 6KltFMAAAAAJ
Ph.D. Student, UNC Chapel Hill CS
Citations & Impact
Citations
2,339
H-index
15
i10-index
15
Publications
20
Co-authors
60
list available
Publications
Resume (English only)
Academic Achievements
- 1. VHELM: A Holistic Evaluation of Vision Language Models, NeurIPS 2024
- 2. Calibrated Self-Rewarding Vision Language Models, NeurIPS 2024
- 3. CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models, NeurIPS 2024
- 4. MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?, arXiv 2024
- 5. Aligning Modalities in Vision Large Language Models via Preference Fine-tuning, arXiv 2024
- 6. How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs, ECCV 2024
- 7. Analyzing and Mitigating Object Hallucination in Large Vision-Language Models, ICLR 2024
- 8. mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality, arXiv 2023
- Awards:
- - First Prize, National Scholarship (rank 2/389) in 2023
- - First Prize, Outstanding Graduate Student Award in 2023
- - Second Prize, Xi’an Jiaotong University Postgraduate Academic Scholarship in 2022
- - First Prize, Jilin University Outstanding student of the School of Software in 2019
- - First Prize, Jilin Province Mathematical Modeling Competition for College Students in 2019
Research Experience
- 1. ByteDance Seed, Research Intern (2025, San Jose, US)
- 2. Microsoft, Research Intern
- 3. The University of North Carolina at Chapel Hill, Research Intern (2023-2024, Chapel Hill, US)
- 4. Sun Yat-sen University, Research Intern (2023, China)
- 5. Alibaba DAMO Academy, Research Intern (2023, Hangzhou, China)
- 6. UBS, Investment Intern (2019-2022, Hong Kong, Singapore)
Education
- 1. The University of North Carolina at Chapel Hill, PhD in Computer Science, Advisor: Prof. Huaxiu Yao
- 2. Xi’an Jiaotong University, Master's in Computer Science and Technology, Advisor: Prof. Jihua Zhu
Background
- Currently a CS Ph.D. student at UNC Chapel Hill, with research interests including large vision-language models, robot learning, and embodied AI.
