Jian Yang

Associate Professor at the School of Computer Science, Beihang University

Jian Yang is an Associate Professor at Beihang University and a Huawei Distinguished Young Scholar. His research focuses on large code models and intelligent agents, with particular interests in pre-training, post-training, collaborative generation, and evaluation. He has published more than 100 papers in leading international journals and conferences, including ICLR, NeurIPS, ACL, and EMNLP, and has served as the first or corresponding author on more than 30 publications. He has also served multiple times as SAC/AC for ARR (ACL, EMNLP, and NAACL), Program Chair of INLG 2026, and SPC and AC for the AIA Track of AAAI. His work has received more than 40,000 citations on Google Scholar, and he was honored with the WACI 2026 Yunfan Award. After completing his Ph.D., he joined Alibaba’s Qwen team through the Alibaba Star talent program. As a core contributor to the Qwen series of large language models and the QwenCoder series of code models, he was responsible for advancing Qwen’s code capabilities and leading the development of specialized QwenCoder models. After joining Beihang University, he led the development of LoopCoder, a recurrent code foundation model, as well as InCoder-32B for industrial applications, covering multiple model scales including 7B, 14B, 32B, and 40B parameters. In the practical application and deployment of large code models, he has received the First Prize for Innovation and Entrepreneurship from the China Association of Inventions and holds more than ten patents, application certificates, and vulnerability validation certificates.