I am an AI researcher at Ubiquant, specializing in LLMs, Agents, and their applications across domains such as healthcare, scientific research, and productivity. My work lies at the intersection of foundation models and real-world deployment, aiming to accelerate the integration of AI into human life.

Previously, I worked at Kuaishou, developing next-generation generative recommendation models that powered personalized content delivery for hundreds of millions of users.

Selected Work

Medical Large Language Models

An open-source family of large language and multimodal models solving challenging medical tasks and setting state-of-the-art benchmarks at release.

Fleming-R1: Toward Expert-Level Medical Reasoning via Reinforcement Learning
Chi Liu, Derek Li, Yan Shu, Robin Chen, Derek Duan, Teng Fang, Bryan Dai
paper | code
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge
Haochun Wang*, Chi Liu*, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu
paper | code

Next-Generation Recommendation Systems

Next-generation recommendation systems powered by Transformer architectures and generative objectives, optimizing both user experience and business value.

KuaiFormer: Transformer-Based Retrieval at Kuaishou
Chi Liu, Jiangxia Cao, Rui Huang, Kai Zheng, Qiang Luo, Kun Gai, Guorui Zhou
paper
CRM: Retrieval Model with Controllable Condition
Chi Liu, Jiangxia Cao, Rui Huang, Kuo Cai, Weifeng Ding, Qiang Luo, Kun Gai, Guorui Zhou
paper

(last updated: October 2025)