百晓学者学者目录

陈震鹏

助理教授、博士生导师、研究员，清华大学

精选作品

期刊论文

2026

A Dual-Loop Agent Framework for Automated Vulnerability Reproduction

Bin Liu, Yan-Jie Zhao, Zhenpeng Chen, Guo-Ai Xu, Haoyu Wang

arXiv.org

DOI

2026

Agent-Based Software Artifact Evaluation

Zhaonan Wu, Yan-Jie Zhao, Zhenpeng Chen, Zheng Wang, Hao-Yu Wang

arXiv.org

DOI

2026

Software Fairness Analysis and Repair via Causal Model-Guided Data Mutation

Ying Xiao, Zhenpeng Chen, Yepang Liu, Mohammad Reza Mousavi, Jie M. Zhang

ACM Transactions on Software Engineering and Methodology

DOI

2026

A Lightweight Defense Against Code Poisoning Attacks Based on Code Naturalness

Mengzhe Yuan, Weisong Sun, Yuchen Chen, Chunrong Fang, Zhenpeng Chen, Peizhuo Lv, Wenbo Guo, Yang Liu, Baowen Xu, Z L Chen, Yanhui Li

IEEE Transactions on Software Engineering

DOI

2026

Securing Code Understanding: Detecting Natural Backdoor Vulnerability in Code Language Models

Yuchen Chen, Weisong Sun, Haocheng Huang, Y H Xiao, Chunrong Fang, Yiran Zhang, Tingting Xu, Zhenpeng Chen, An Guo, Peizhuo Lv, Xiaofang Zhang, Z L Chen, Yang Liu, Baowen Xu

IEEE Transactions on Software Engineering

DOI

2026

Abstract Syntax Tree for Programming Language Understanding and Representation

Weisong Sun, Chunrong Fang, Yun Miao, Mengzhe Yuan, Zhenpeng Chen, Yuchen Chen, Q Zhang, An Guo, Xiang Chen, Z L Chen

ACM Transactions on Software Engineering and Methodology

DOI

2026

BAMAS: Structuring Budget-Aware Multi-Agent Systems

Liming Yang, Junyu Luo, Xuanzhe Liu, Yiling Lou, Zhenpeng Chen

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

Promptware Engineering: Software Engineering for Prompt-Enabled Systems

Zhenpeng Chen, Chong Wang, Weisong Sun, Xuanzhe Liu, Jie M. Zhang, Yang Liu

ACM Transactions on Software Engineering and Methodology

DOI

2026

A First Look at Bugs in LLM Inference Engines

Mugeng Liu, Siqi Zhong, Weichen Bi, Yixuan Zhang, Zhiyang Chen, Zhenpeng Chen, Xuanzhe Liu, Yun Ma

ACM Transactions on Software Engineering and Methodology

DOI

2026

EET: Experience-Driven Early Termination for Cost-Efficient Software Engineering Agents

Yaoqi Guo, Ying Xiao, Jie M. Zhang, Mark Harman, Yiling Lou, Yang Liu, Zhenpeng Chen

DOI

2026

TransAgent: Enhancing LLM-Based Code Translation via Fine-Grained Execution Alignment

Zhiqiang Yuan, Weitong Chen, Hanlin Wang, Xin Peng, Zhenpeng Chen, Yiling Lou

Proceedings of the ACM on software engineering.

DOI

2026

Fairness Testing of Large Language Models in Role-Playing

Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Ying Xiao, Tianlin Li, Weisong Sun, Yang Liu, Yiling Lou, Xuanzhe Liu

Proceedings of the ACM on software engineering.

DOI

2025

Dissecting Global Search: A Simple Yet Effective Method to Boost Individual Discrimination Testing and Repair

Li-Li Quan, Tian-Lin Li, Xiaofei Xie, Zhenpeng Chen, Sen Chen, Lingxiao Jiang, Xiao-Hong Li

International Conference on Software Engineering

DOI

2025

Can Agent Fix Agent Issues?

Alfin Wijaya Rahardja, Junwei Liu, Weitong Chen, Zhenpeng Chen, Yiling Lou

neural information processing systems

DOI

2023

AutoML from Software Engineering Perspective: Landscapes and Challenges

Chao Wang, Zhenpeng Chen, Minghui Zhou

IEEE Working Conference on Mining Software Repositories

DOI

2017

多维应用特征融合的用户偏好预测

陈震鹏，陆璇，李豁然，刘譞哲

《计算机科学与探索》

预印本

2026

XRepoSkill: Learning Transferable Skills for Software Engineering Agents

Yaoqi Guo, Haoyang Zhou, Jiayi Zhang, Yiran Zhang, Yang Liu, Qiuyuan Chen, Qiang Lin, Hande Dong, Jie M. Zhang, Zhenpeng Chen

arXiv (Cornell University)

DOI

2026

Mubric: Mutation Testing-Guided Rubric Generation for LLM Evaluation

Jiayuxuan Yang, Jie M. Zhang, Yiling Lou, Zhenpeng Chen

arXiv (Cornell University)

DOI

2026

AgentBug-Smith: Automatically Reproducing Real-World Harness Bugs in Agentic Systems

Yiming Cheng, Alfin Wijaya Rahardja, Mengshi Zhang, Zihao Chen, Zhenpeng Chen, Yiling Lou

arXiv (Cornell University)

DOI

2026

Tool Specifications Matter: Uncovering and Mitigating Safety Risks in AI Agents

Minghui Pan, Jiayuxuan Yang, Yuanyuan Yuan, Yu Jiang, Zhenpeng Chen

arXiv (Cornell University)

DOI

2026

An Empirical Study of Downstream Adaptation for Agent Skills

X . Wu, Jingzhi Gong, Gunel Jahangirova, Zhenpeng Chen, Jie M. Zhang

arXiv (Cornell University)

DOI

2026

Probing Privacy Leaks in LLM-based Code Generation via Test Generation

Yifei Ge, Zhenpeng Chen, Weisong Sun, Yuchen Chen, Chunrong Fang, Juan Zhai, Xiaofang Zhang, Xia Feng, Yang Liu, Zhenyu Chen

arXiv (Cornell University)

DOI

2026

LLMs Are Not a Silver Bullet: A Case Study on Software Fairness

Xinyue Li, Sixuan Li, Ying Xiao, Jie M. Zhang, Zhou Yang, Xuanzhe Liu, Zhenpeng Chen

arXiv (Cornell University)

DOI

2026

SWE-Doctor: Guiding Software Engineering Agents with Runtime Diagnosis from Multi-Faceted Bug Reproduction Tests

Yaoqi Guo, Yang Liu, Jie M. Zhang, Yun Ma, Yiling Lou, Zhenpeng Chen

arXiv preprint

2026

Complex Agents, Shallow Tests: Demystifying and Enhancing Test Adequacy of Agent Harness in the Wild

Yifan Xiong, Jingyi Ge, Zhenpeng Chen, Yiling Lou

arXiv preprint

2026

REprompt: Prompt Generation for Intelligent Software Development Guided by Requirements Engineering

Junjie Shi, Weisong Sun, Zhenpeng Chen, Zhujun Wu, Xiaohong Chen, Zhi Jin, Yang Liu

arXiv preprint

2025

Software Fairness Dilemma: Is Bias Mitigation a Zero-Sum Game?

Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Weisong Sun, Ying Xiao, Tianlin Li, Yiling Lou, Yang Liu

arXiv preprint

2025

A Study on Thinking Patterns of Large Reasoning Models in Code Generation

Kevin Halim, Sin G. Teo, Ruitao Feng, Zhenpeng Chen, Yang Gu, Chong Wang, Yang Liu

arXiv preprint

2025

FairMedQA: Benchmarking Bias in Large Language Models for Medical Question Answering

Ying Xiao, Jie Huang, Ruijuan He, Jing Xiao, Mohammad Reza Mousavi, Yepang Liu, Kezhi Li, Zhenpeng Chen, Jie M. Zhang

arXiv preprint

2025

Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code Naturalness

Weisong Sun, Yuchen Chen, Mengzhe Yuan, Chunrong Fang, Zhenpeng Chen, Chong Wang, Yang Liu, Baowen Xu, Zhenyu Chen

arXiv preprint

2024

Research Artifacts in Software Engineering Publications: Status and Trends

Mugeng Liu, Xiaolong Huang, Wei He, Yibing Xie, Jie M. Zhang, Xiang Jing, Zhenpeng Chen, Yun Ma

arXiv preprint

2024

Large Language Model-Based Agents for Software Engineering: A Survey

Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou

arXiv preprint

2024

Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software

Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Federica Sarro, Yang Liu

arXiv preprint

2024

LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs

Kaibo Liu, Zhenpeng Chen, Yiyang Liu, Jie M. Zhang, Mark Harman, Yudong Han, Yun Ma, Yihong Dong, Ge Li, Gang Huang

arXiv preprint

2024

Personality-Guided Code Generation Using Large Language Models

Yaoqi Guo, Zhenpeng Chen, Jie M. Zhang, Yang Liu, Yun Ma

arXiv preprint

2024

Anatomizing Deep Learning Inference in Web Browsers

Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu

arXiv preprint

2024

Security of Language Models for Code: A Systematic Literature Review

Yuchen Chen, Weisong Sun, Chunrong Fang, Zhenpeng Chen, Yifei Ge, Tingxu Han, Quanjun Zhang, Yang Liu, Zhenyu Chen, Baowen Xu

arXiv preprint

2024

LLM-Based Misconfiguration Detection for AWS Serverless Computing

Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Zixi Zhu, Yi Liu, Haodi Ping, Shangguang Wang

arXiv preprint

2024

Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework

Chong Wang, Zhenpeng Chen, Tianlin Li, Yilun Zhao, Yang Liu

arXiv preprint

2023

Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems

Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Ying Zhang, Xuanzhe Liu

arXiv preprint

2023

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

Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman

arXiv preprint

2023

SCOPE: Performance Testing for Serverless Computing

Jinfeng Wen, Zhenpeng Chen, Jianshu Zhao, Federica Sarro, Haodi Ping, Ying Zhang, Shangguang Wang, Xuanzhe Liu

arXiv preprint

2023

Characterizing and Detecting WebAssembly Runtime Bugs

Yixuan Zhang, Shangtong Cao, Haoyu Wang, Zhenpeng Chen, Xiapu Luo, Dongliang Mu, Yun Ma, Gang Huang, Xuanzhe Liu

arXiv preprint

2023

Unveiling Overlooked Performance Variance in Serverless Computing

Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Shangguang Wang

arXiv preprint

2023

A Prompt Learning Framework for Source Code Summarization

Tingting Xu, Yun Miao, Chunrong Fang, Hanwei Qian, Xia Feng, Zhenpeng Chen, Chong Wang, Jian Zhang, Weisong Sun, Zhenyu Chen, Yang Liu

arXiv preprint

2022

Software Engineering for Serverless Computing

Jinfeng Wen, Zhenpeng Chen, Xuanzhe Liu

arXiv preprint

2022

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, Federica Sarro

arXiv preprint

2022

A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers

Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman

arXiv preprint

2022

Rise of the Planet of Serverless Computing: A Systematic Review

Jinfeng Wen, Zhenpeng Chen, Xin Jin, Xuanzhe Liu

arXiv preprint

2022

FaaSLight: General Application-Level Cold-Start Latency Optimization for Function-as-a-Service in Serverless Computing

Xuanzhe Liu, Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin

arXiv preprint

2022

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

Max Hort, Zhenpeng Chen, Jie M. Zhang, Mark Harman, Federica Sarro

arXiv preprint

2021

Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective

Xuanzhe Liu, Diandian Gu, Zhenpeng Chen, Jinfeng Wen, Zili Zhang, Yun Ma, Haoyu Wang, Xin Jin

arXiv preprint

2021

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications

Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu

arXiv preprint

2021

When Automated Program Repair Meets Regression Testing -- An Extensive Study on 2 Million Patches

Yiling Lou, Jun Yang, Samuel Benton, Dan Hao, Lin Tan, Zhenpeng Chen, Lu Zhang, Lingming Zhang

arXiv preprint

2021

Emojis predict dropouts of remote workers: An empirical study of emoji usage on GitHub

Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Qiaozhu Mei

arXiv preprint

DOI

2020

A Comprehensive Study on Challenges in Deploying Deep Learning Based Software

Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu

arXiv preprint

2020

Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data

Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu

arXiv preprint

2020

Characterizing Commodity Serverless Computing Platforms

Jinfeng Wen, Yi Liu, Zhenpeng Chen, Junkai Chen, Yun Ma

arXiv preprint

2019

SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering

Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu

arXiv preprint

DOI

2018

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification

Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu

arXiv preprint

2018

A First Look at Emoji Usage on GitHub: An Empirical Study

Xuan Lu, Yanbin Cao, Zhenpeng Chen, Xuanzhe Liu

arXiv preprint

2017

Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users

Zhenpeng Chen, Xuan Lu, Wei Ai, Huoran Li, Qiaozhu Mei, Xuanzhe Liu

arXiv preprint

DOI

研究方向

软件工程与人工智能可信智能化软件

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