Rui Zhang

Rui Zhang is an Assistant Professor in Computer Science and Engineering, with research expertise spanning Natural Language Processing, Large Language Models, and Semantic Parsing. His recent work focuses on enhancing multimodal consistency, fairness in summarization, and mathematical reasoning capabilities of LLMs.

• Key Research Themes:
  • Text-to-SQL and cross-domain semantic parsing
  • Multimodal learning (vision-language models)
  • Fairness and bias mitigation in NLP tasks
  • Efficient model training and prompt optimization
• Scientific Awards:
  • National Science Foundation CAREER Award (2024)
• Grants & Projects:
  • CAREER: Trustworthy Human-Centered Summarization (NSF, 2024-2029) addressing LLM trustworthiness through user-centric summarization frameworks.
• Article Trends:
  • Recent publications emphasize LLM collaboration, compressed reasoning models, and cross-domain knowledge alignment.
  • He explores multi-agent systems, mathematical reasoning, and vision-language limitations, particularly in geometric perception.
  • Applications span bioinformatics (Alzheimer's biomarker discovery) and democratic AI frameworks.