KiMI: Knowledge-integrated Machine Intelligence
KiMI is a research lab in HKUST(GZ) dedicated to exploring the intersection of artificial intelligence and domain-specific knowledge. Our mission is to develop intelligent solutions that not only learn from data but also leverage existing information to enhance reasoning and understanding.
Our research primarily focuses on seamlessly integrate vast reservoirs of knowledge with cutting-edge machine learning techniques. Key areas of exploration include:
- Retrieval augmented generation: We explore methods to enhance the generation of LLMs by retrieving from large datasets.
- Cutting-edge LLMs: We concentrate on improving the efficacy of current large language model (LLM) solutions to enhance their performance and applicability.
- Industrial LLMs: We focus on applying LLMs to complex problems, thereby transforming traditional workflows and fostering innovation.
- AI for science: We harness the power of AI to address complex scientific challenges, driving innovation and discovery across various scientific disciplines.
MPhil position available: Students who receive an RBM Mphil offer can directly contact me for a discussion.
Chief consultant
- Quanming Yao: Associate Professor, Tsinghua University
Ph.D. students
- Zhuangfei Hu: start from 2024.09
- Siyi Liu: start from 2025.02
- Hengwei Dai: start from 2025.02 (part-time)
- Yuhang He: start from 2025.09
- Xiaotang Wang: start from 2025.09
- Hange Zhou: start from 2025.09
MPhil students
- Runqing Xu: start from 2024.09
- Mingkai Qiu: start from 2024.09
RAs
- Enjun Du (2024.07 - ). UG in BIT
- Yijia Li (2025.09 - ). MSc in CUHK-SZ