Zhi Jin

Zhi Jin

Peking University

H-index: 45

Asia-China

About Zhi Jin

Zhi Jin, With an exceptional h-index of 45 and a recent h-index of 34 (since 2020), a distinguished researcher at Peking University, specializes in the field of Requirements Engineering, Representation Learning for Code, Problem Frames Approach.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automated Commit Message Generation with Large Language Models: An Empirical Study and Beyond

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories

CodeBERT‐Attack: Adversarial attack against source code deep learning models via pre‐trained model

IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion

Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback

A Survey on Self-Evolution of Large Language Models

HiRoPE: Length Extrapolation for Code Models

SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation

Zhi Jin Information

University

Position

Professor of Computer Science

Citations(all)

10433

Citations(since 2020)

6758

Cited By

7075

hIndex(all)

45

hIndex(since 2020)

34

i10Index(all)

156

i10Index(since 2020)

89

Email

University Profile Page

Peking University

Google Scholar

View Google Scholar Profile

Zhi Jin Skills & Research Interests

Requirements Engineering

Representation Learning for Code

Problem Frames Approach

Top articles of Zhi Jin

Title

Journal

Author(s)

Publication Date

Automated Commit Message Generation with Large Language Models: An Empirical Study and Beyond

arXiv preprint arXiv:2404.14824

Pengyu Xue

Linhao Wu

Zhongxing Yu

Zhi Jin

Zhen Yang

...

2024/4/23

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories

arXiv preprint arXiv:2404.00599

Jia Li

Ge Li

Xuanming Zhang

Yihong Dong

Zhi Jin

2024/3/31

CodeBERT‐Attack: Adversarial attack against source code deep learning models via pre‐trained model

Journal of Software: Evolution and Process

Huangzhao Zhang

Shuai Lu

Zhuo Li

Zhi Jin

Lei Ma

...

2024/3

IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion

arXiv preprint arXiv:2401.16637

Bolun Li

Zhihong Sun

Tao Huang

Hongyu Zhang

Yao Wan

...

2024/1/30

Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback

arXiv preprint arXiv:2401.05695

Chengfeng Dou

Zhi Jin

Wenpin Jiao

Haiyan Zhao

Yongqiang Zhao

...

2024/1/11

A Survey on Self-Evolution of Large Language Models

arXiv preprint arXiv:2404.14387

Zhengwei Tao

Ting-En Lin

Xiancai Chen

Hangyu Li

Yuchuan Wu

...

2024/4/22

HiRoPE: Length Extrapolation for Code Models

arXiv preprint arXiv:2403.19115

Kechi Zhang

Ge Li

Huangzhao Zhang

Zhi Jin

2024/3/28

SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation

arXiv preprint arXiv:2403.00046

Xue Jiang

Yihong Dong

Zhi Jin

Ge Li

2024/2/29

Non-Autoregressive Line-Level Code Completion

ACM Transactions on Software Engineering and Methodology

Fang Liu

Zhiyi Fu

Ge Li

Zhi Jin

Hui Liu

...

2024

Knowledge-Aware Code Generation with Large Language Models

arXiv preprint arXiv:2401.15940

Tao Huang

Zhihong Sun

Zhi Jin

Ge Li

Chen Lyu

2024/1/29

A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems

arXiv preprint arXiv:2112.07588

Mingyue Zhang

Nianyu Li

Sridhar Adepu

Eunsuk Kang

Zhi Jin

2021/12/12

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models

Proceedings of the AAAI Conference on Artificial Intelligence

Yuqi Zhu

Jia Li

Ge Li

YunFei Zhao

Zhi Jin

...

2024/3/25

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models

arXiv preprint arXiv:2402.15938

Yihong Dong

Xue Jiang

Huanyu Liu

Zhi Jin

Ge Li

2024/2/24

Perception field based imitation learning for unlabeled multi-agent pathfinding

Science China Information Sciences

Wenjie Chu

Ailun Yu

Wei Zhang

Haiyan Zhao

Zhi Jin

2024/5

Exploring the Potential of Large Language Models in Self-adaptive Systems

Aysa Xuemo Fan

Ranran Haoran Zhang

Luc Paquette

Rui Zhang

2023/12/6

Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs

arXiv preprint arXiv:2403.13271

Zhihong Sun

Chen Lyu

Bolun Li

Yao Wan

Hongyu Zhang

...

2024/3/20

EVIT: Event-Oriented Instruction Tuning for Event Reasoning

arXiv preprint arXiv:2404.11978

Zhengwei Tao

Xiancai Chen

Zhi Jin

Xiaoying Bai

Haiyan Zhao

...

2024/4/18

Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning

Mingyang Geng

Shangwen Wang

Dezun Dong

Haotian Wang

Ge Li

...

2024/2/6

A Comprehensive Evaluation on Event Reasoning of Large Language Models

arXiv preprint arXiv:2404.17513

Zhengwei Tao

Zhi Jin

Yifan Zhang

Xiancai Chen

Xiaoying Bai

...

2024/4/26

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges

arXiv preprint arXiv:2401.07339

Kechi Zhang

Jia Li

Ge Li

Xianjie Shi

Zhi Jin

2024/1/14

See List of Professors in Zhi Jin University(Peking University)

Co-Authors

H-index: 95
David Lo

David Lo

Singapore Management University

H-index: 80
Lin Liu (刘璘)

Lin Liu (刘璘)

Tsinghua University

H-index: 67
W. T. Tsai

W. T. Tsai

Arizona State University

H-index: 64
Carlo Ghezzi

Carlo Ghezzi

Politecnico di Milano

H-index: 62
Lu Zhang

Lu Zhang

Peking University

H-index: 40
Professor Didar Zowghi

Professor Didar Zowghi

University of Technology Sydney

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