STAIR
We are focusing on scalable and trustworthy AI researches, spanning AI for trustworthy foundation models and agents, reasoning and efficiency scaling, and scalable algorithms especially on big graphs, aiming at bridging large language models (LLMs) and graph intelligence to tackle real-world challenges. The group is directed by Shenghua Liu at Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). Our goals include:
- Trustworthy LLMs, building reliable, faithful, and capable foundation models and agents in the era of RSI, with an emphasis on AI-driven methods.
- High-quality data, that is data mining methods related to big graph mining, scalable algorithms, graph compression, and summarization.
- Agentic reasoning, agent reasoning over complex relational structures, and graph-structured organization of agent memory.
We are actively recruiting highly-motivated Researchers and Ph.D./M.S./visiting students to join our group at ICT, CAS!
Meet the Team
Our research group members
Principal Investigator
Students
Alumni
