Qi is currently a professor at USTC. Before joining USTC, he was an Applied Scientist at Amazon.com. I obtained my Ph.D. from the Database Group at Washington State University. He published more than 20 research papers in top-tier conferences and journals including TKDE, SIGMOD, ICDE, ICLR with more than 2000 citations. He also served as PC member for conferences like CIKM/AAAI/ECAI, etc…

His research spans the areas of Big Data and deep learning, with emphasis on knowledge graph, knowledge-enhanced LLM, graph neural network, and multi-model learning.

Large language models (LLMs) have shown great performance in various NLP tasks. In order to apply LLMs on domain-specific tasks, we are exploring knowledge-enhanced LLMs, where the LLM can use KG to generate accurate answers. Students are welcome to participate in some domain-specific LLM+KG-based applications, such as medical QA, industrial inference, and AI for Science.