Jie M. Zhang

Jie M. Zhang

University College London

H-index: 20

Europe-United Kingdom

About Jie M. Zhang

Jie M. Zhang, With an exceptional h-index of 20 and a recent h-index of 19 (since 2020), a distinguished researcher at University College London, specializes in the field of LLMs, SE4ML, machine learning testing, mutation testing, metamorphic testing.

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

Fairness Improvement with Multiple Protected Attributes: How Far Are We?

Stealthy backdoor attack for code models

EffiBench: Benchmarking the Efficiency of Automatically Generated Code

Search-based automatic repair for fairness and accuracy in decision-making software

Mutation analysis for evaluating code translation

An Empirical Study on Fairness Improvement with Multiple Protected Attributes

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Large language models in fault localisation

Jie M. Zhang Information

University

Position

Research Fellow

Citations(all)

2452

Citations(since 2020)

2271

Cited By

704

hIndex(all)

20

hIndex(since 2020)

19

i10Index(all)

28

i10Index(since 2020)

28

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Jie M. Zhang Skills & Research Interests

LLMs

SE4ML

machine learning testing

mutation testing

metamorphic testing

Top articles of Jie M. Zhang

Title

Journal

Author(s)

Publication Date

Fairness Improvement with Multiple Protected Attributes: How Far Are We?

Zhenpeng Chen

Jie M Zhang

Federica Sarro

Mark Harman

2024/4/12

Stealthy backdoor attack for code models

IEEE Transactions on Software Engineering

Zhou Yang

Bowen Xu

Jie M Zhang

Hong Jin Kang

Jieke Shi

...

2023/1/6

EffiBench: Benchmarking the Efficiency of Automatically Generated Code

arXiv preprint arXiv:2402.02037

Dong Huang

Jie M Zhang

Yuhao Qing

Heming Cui

2024/2/3

Search-based automatic repair for fairness and accuracy in decision-making software

Empirical Software Engineering

Max Hort

Jie M Zhang

Federica Sarro

Mark Harman

2024/2

Mutation analysis for evaluating code translation

Empirical Software Engineering

Giovani Guizzo

Jie M Zhang

Federica Sarro

Christoph Treude

Mark Harman

2024/1

An Empirical Study on Fairness Improvement with Multiple Protected Attributes

arXiv preprint arXiv:2308.01923

Zhenpeng Chen

Jie M Zhang

Federica Sarro

Mark Harman

2023/7/25

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

arXiv preprint arXiv:2312.13010

Dong Huang

Qingwen Bu

Jie M Zhang

Michael Luck

Heming Cui

2023/12/20

Large language models in fault localisation

arXiv preprint arXiv:2308.15276

Yonghao Wu

Zheng Li

Jie M Zhang

Mike Papadakis

Mark Harman

...

2023/8/29

Who judges the judge: An empirical study on online judge tests

Kaibo Liu

Yudong Han

Jie M Zhang

Zhenpeng Chen

Federica Sarro

...

2023/7/12

Bias mitigation for machine learning classifiers: A comprehensive survey

Max Hort

Zhenpeng Chen

Jie M Zhang

Federica Sarro

Mark Harman

2022/7/14

Coco: Testing code generation systems via concretized instructions

arXiv preprint arXiv:2308.13319

Ming Yan

Junjie Chen

Jie M Zhang

Xuejie Cao

Chen Yang

...

2023/8/25

Condefects: A new dataset to address the data leakage concern for llm-based fault localization and program repair

arXiv preprint arXiv:2310.16253

Yonghao Wu

Zheng Li

Jie M Zhang

Yong Liu

2023/10/25

On Testing Ethical Autonomous Decision-Making

Michael E Akintunde

Martim Brandão

Gunel Jahangirova

Hector Menendez

Mohammad Reza Mousavi

...

2023/8/17

Model validation using mutated training labels: an exploratory study

Neurocomputing

Jie M Zhang

Mark Harman

Benjamin Guedj

Earl T Barr

John Shawe-Taylor

2023/6/28

Large language models for software engineering: Survey and open problems

arXiv preprint arXiv:2310.03533

Angela Fan

Beliz Gokkaya

Mark Harman

Mitya Lyubarskiy

Shubho Sengupta

...

2023/10/5

Dark-skin individuals are at more risk on the street: Unmasking fairness issues of autonomous driving systems

arXiv preprint arXiv:2308.02935

Xinyue Li

Zhenpeng Chen

Jie M Zhang

Federica Sarro

Ying Zhang

...

2023/8/5

A comprehensive empirical study of bias mitigation methods for machine learning classifiers

ACM transactions on software engineering and methodology

Zhenpeng Chen

Jie M Zhang

Federica Sarro

Mark Harman

2023/5/27

LLM is Like a Box of Chocolates: the Non-determinism of ChatGPT in Code Generation

arXiv preprint arXiv:2308.02828

Shuyin Ouyang

Jie M Zhang

Mark Harman

Meng Wang

2023/8/5

Bias assessment and mitigation in llm-based code generation

arXiv preprint arXiv:2309.14345

Dong Huang

Qingwen Bu

Jie Zhang

Xiaofei Xie

Junjie Chen

...

2023/9/3

Vulnerability detection with graph simplification and enhanced graph representation learning

Xin-Cheng Wen

Yupan Chen

Cuiyun Gao

Hongyu Zhang

Jie M Zhang

...

2023/5/14

See List of Professors in Jie M. Zhang University(University College London)

Co-Authors

H-index: 102
Mark Harman

Mark Harman

University College London

H-index: 84
John Shawe-Taylor

John Shawe-Taylor

University College London

H-index: 75
Yves Le Traon

Yves Le Traon

Université du Luxembourg

H-index: 74
Yang Liu

Yang Liu

Nanyang Technological University

H-index: 62
Lu Zhang

Lu Zhang

Peking University

H-index: 47
Lingming Zhang

Lingming Zhang

University of Illinois at Urbana-Champaign

academic-engine