Designing intelligent systems that reason with knowledge, retrieval, and scientific structure.
Yongqi Zhang is currently a tenure-track Assistant Professor in the Data Science and Analytics Thrust at HKUST(GZ). His research focuses on multimodal reasoning, RAG systems, LLM agents, and AI4Science. Before joining HKUST(GZ), he worked as a research scientist at 4Paradigm and collaborated closely with Prof. Quanming Yao at Tsinghua University.
In terms of education, Dr. Zhang completed his doctoral degree in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST) in 2020, advised by Prof. Lei Chen. Before pursuing his Ph.D., he obtained a bachelor's degree from Shanghai Jiao Tong University (SJTU) in 2015. With this background, Dr. Zhang possesses extensive academic and industry experience, as well as strong collaborations with partners.
40+
Publications
4
Research Themes
2024
KiMI Founded
Research Themes
What We Work On
We build AI systems that can understand, retrieve, reason, and act across modalities and domains by integrating data-driven learning with domain knowledge.
Multimodal Reasoning
Understanding and reasoning across vision, language, and structured knowledge.
RAG Systems
Multimodal search, retrieval, ranking, and grounded generation over large-scale corpora.
LLM Agents
Planning, memory, tool use, verification, and multi-agent collaboration for complex problem solving.
AI for Science
Knowledge-enhanced foundation models and intelligent systems for biology, materials, and engineering.
Lab
KiMI Lab
KiMI is dedicated to Knowledge-integrated Machine Intelligence, with a focus on building AI systems that understand, retrieve, reason, and act across modalities and domains.
Recruitment
Join the Group
The group is actively looking for students and collaborators interested in Multimodal Reasoning, RAG Systems, LLM Agents, and AI for Science.