Yunqi Hong
Scholar

Yunqi Hong

Google Scholar ID: moSZIuEAAAAJ
University of California, Los Angeles
LLM post-trainingMultimodal LLM
Citations & Impact
All-time
Citations
7
 
H-index
2
 
i10-index
0
 
Publications
6
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Publication: Unlabeled Data Improves Fine-Grained Image Zero-shot Classification with Multimodal LLMs, NeurIPS 2025
  • - Preprint: IRIS: Intrinsic Reward Image Synthesis, arXiv preprint arXiv:2509.25562, 2025
Research Experience
  • - Currently conducting research in the Computer Science Department at UCLA
  • - Focused on LLM post-training, inferencing, and downstream applications
  • - Collaborating with Prof. Neil Y.C. Lin to develop LLM-driven methods for biomedical research
Education
  • - Degree: PhD student
  • - University: UCLA
  • - Advisor: Prof. Cho-Jui Hsieh
  • - Department: Computer Science
Background
  • - Research Interests: LLM post-training, inferencing, and downstream applications
  • - Current research focus: LLM reinforcement learning, reward modeling, and text-to-image generation
  • - Previous research areas: LLM automatic prompting, model interpretability, graph adversarial attacks, and recommender systems
  • - Collaborates with Prof. Neil Y.C. Lin on developing LLM-driven methods for biomedical research
Co-authors
0 total
Co-authors: 0 (list not available)