Zhi Jin

Also known as 金芝, Jin Zhi

Zhi Jin is a computer scientist at Peking University whose work spans knowledge-based software engineering and code generation with deep learning and large language models. She earned degrees at Zhejiang University and the National University of Defense Technology, became a full professor at the Chinese Academy of Sciences in 2001, and joined Peking University in 2009. Her papers include Deep Code Comment Generation, which won an ACM Distinguished Paper Award at ICPC 2018, and Code Generation as a Dual Task of Code Summarization at NeurIPS 2019. The China Computer Federation gave her its Xia-Peisu Award in 2021, and in 2023 she was named an IEEE Fellow and coauthored Self-planning Code Generation with Large Language Models. She is a professor of computer science at Peking University and Hongyi Visiting Professor at Wuhan University, and she gave a keynote at FORGE 2026 in Rio de Janeiro on large language models for requirements analysis.

Now at: Peking University, Wuhan University and Chinese Academy of Sciences
Works: 599
Citations: 11,023
h-index: 47
Badges: Loyal

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

1984–2001

A PhD and a full professorship

She earns a bachelor's degree at Zhejiang University in 1984 and a PhD at the National University of Defense Technology in 1992. At the Academy of Mathematics and System Sciences of the Chinese Academy of Sciences, she becomes an assistant professor in 1992, an associate professor in 1995 and a full professor in 2001.
2006

Distinguished Young Scholars Fund

She wins the National Science Fund for Distinguished Young Scholars in 2006.
2009

Professor at Peking University

She moves from the Academy of Mathematics and System Sciences to Peking University in 2009, as a professor in the Department of Computer Science and Technology.
2014

Chief scientist of a 973 project

In 2014, she is chief scientist of a 973 project, a national basic research project of China's Ministry of Science and Technology.
2018–2019

Papers on code comments and generation

Her paper Deep Code Comment Generation wins an ACM Distinguished Paper Award at ICPC 2018. In 2019, she coauthors Code Generation as a Dual Task of Code Summarization at NeurIPS with Bolin Wei, Ge Li, Xin Xia and Zhiyi Fu, a dual training framework for code summarization and code generation.
2021

The CCF Xia-Peisu Award

The China Computer Federation gives her the 2021 Xia-Peisu Award, shared with Shi Yuanchun of Tsinghua University. The announcement credits her research in knowledge-based software engineering and her achievements in code understanding and generation based on representation learning.
2023

IEEE Fellow and self-planning code

She is named an IEEE Fellow in 2023, for significant contributions to knowledge-driven software development. In March 2023, Self-planning Code Generation with Large Language Models appears on arXiv with her as coauthor; its two-phase approach of planning and then implementation reports a relative improvement of up to 25.4% in Pass@1 over direct code generation. She speaks at HKUST in July 2023 on deep learning for code generation.
As of October 2026

Professor at Peking and Wuhan

She gives a keynote at FORGE 2026 in Rio de Janeiro in April 2026 on enabling large language models to accelerate requirements understanding and analysis. She is a professor of computer science at Peking University and Hongyi Visiting Professor at Wuhan University, with a main research interest in AI for software engineering.