||>>> Photos >>>
Homepage
ppp
||>>> News >>> More
Congratulations to Qingyuan Li: binary security patch detection accepted by TSE 26.10.20
Congratulations to Yayun Jiang: large-scale HarmonyOS dataset accepted by the Journal of Software 26.09.22
Two papers from our group accepted to the EMNLP main conference 26.08.21
Congratulations to Kuo Chi: code localization accepted by ACM TOSEM 26.07.08
Congratulations to Zongwen Shen: neural program repair paper accepted by ACM TOSEM 26.06.25
Congratulations to Qingyuan Li: an empirical study of binary security patch detection accepted by TOSEM 26.06.01
One full paper and one demo from our group accepted to Internetware 2026 26.05.31
Congratulations to Zhongqiang Pan: NPR ensembling work accepted by IEEE TSE 26.4.24
Congratulations to Prof. Yi Feng: the latest LJP work accepted to ACL 2026 26.04.07
"Language is a vital carrier and medium of human civilization. Intelligent language processing has been a long-cherished goal since the first computer. Its distinctive appeal is why so many people in industry, academia, and research devote themselves to it. Decades on, fully automatic and practical machine translation, sentiment analysis, question answering, dialogue, and personalized retrieval remain goals that researchers continue to pursue."
— Preface to Artificial Intelligence: Language Intelligence Processing, edited by Heyan Huang et al.

Intelligent language processing is a major direction in artificial intelligence, and a core topic that remains as important as ever.
As artificial intelligence, especially deep learning, keeps breaking new ground in software engineering, intelligent processing of programming languages has drawn wide attention from both communities. Like natural-language processing, it faces many challenges: how to build suitable language models for code, how to represent programming languages, and how to generate program code automatically.
Our group studies intelligent processing of both natural language and programming languages. Examples include sentiment analysis, question answering, and text classification for natural language, and code understanding, code generation, and code summarization for programming languages.