PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors. - Xuan Lu; Zhenpeng Chen 001; Xuanzhe Liu; Huoran Li; Tao Xie 001; Qiaozhu Mei (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users. - Zhenpeng Chen 001; Xuan Lu; Wei Ai 002; Huoran Li; Qiaozhu Mei; Xuanzhe Liu (WWW, 2018)

Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. - Zhenpeng Chen 001; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (CoRR, 2018)

A First Look at Emoji Usage on GitHub: An Empirical Study. - Xuan Lu; Yanbin Cao; Zhenpeng Chen 001; Xuanzhe Liu (CoRR, 2018)

SEntiMoji: an emoji-powered learning approach for sentiment analysis in software engineering. - Zhenpeng Chen 001; Yanbin Cao; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2019)

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. - Zhenpeng Chen 001; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (WWW, 2019)

Solving Sequential Text Classification as Board-Game Playing. - Chen Qian 003; Fuli Feng; Lijie Wen 001; Zhenpeng Chen 001; Li Lin 011; Yanan Zheng; Tat-Seng Chua (AAAI, 2020)

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). - Zhenpeng Chen 001; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (IJCAI, 2020)

A comprehensive study on challenges in deploying deep learning based software. - Zhenpeng Chen 001; Yanbin Cao; Yuanqiang Liu; Haoyu Wang 001; Tao Xie 001; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2020)

Understanding build issue resolution in practice: symptoms and fix patterns. - Yiling Lou; Zhenpeng Chen 001; Yanbin Cao; Dan Hao 001; Lu Zhang 023 (ESEC/SIGSOFT FSE, 2020)

Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study. - Zhenpeng Chen 001; Yanbin Cao; Yuanqiang Liu; Haoyu Wang 001; Tao Xie 001; Xuanzhe Liu (CoRR, 2020)

Understanding Characteristics of Commodity Serverless Computing Platforms. - Jinfeng Wen; Yi Liu 014; Zhenpeng Chen 001; Yun Ma 002; Haoyu Wang 001; Xuanzhe Liu (CoRR, 2020)

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. - Zhenpeng Chen 001; Huihan Yao; Yiling Lou; Yanbin Cao; Yuanqiang Liu; Haoyu Wang 001; Xuanzhe Liu (ICSE, 2021)

An empirical study on challenges of application development in serverless computing. - Jinfeng Wen; Zhenpeng Chen 001; Yi Liu 014; Yiling Lou; Yun Ma 002; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2021)

TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation. - Chengxu Yang; Yuanchun Li 003; Mengwei Xu 001; Zhenpeng Chen 001; Yunxin Liu 001; Gang Huang 001; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2021)

Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. - Chengxu Yang; Qipeng Wang 001; Mengwei Xu 001; Zhenpeng Chen 001; Kaigui Bian; Yunxin Liu 001; Xuanzhe Liu (WWW, 2021)

Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub. - Xuan Lu; Wei Ai 002; Zhenpeng Chen 001; Yanbin Cao; Xuanzhe Liu; Qiaozhu Mei (CoRR, 2021)

Demystifying Developers' Issues in Distributed Training of Deep Learning Software. - Diandian Gu; Zhenpeng Chen 001; Yuanqiang Liu; Zili Zhang; Yun Ma 002; Xin Jin 008; Xuanzhe Liu (CoRR, 2021)

Emoji-powered Sentiment and Emotion Detection from Software Developers' Communication Data. - Zhenpeng Chen 001; Yanbin Cao; Huihan Yao; Xuan Lu; Xin Peng 001; Hong Mei 001; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2021)

MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software. - Zhenpeng Chen 001; Jie M. Zhang; Federica Sarro; Mark Harman (ESEC/SIGSOFT FSE, 2022)

A Literature Review on Serverless Computing. - Jinfeng Wen; Zhenpeng Chen 001; Xuanzhe Liu (CoRR, 2022)

A Comprehensive Empirical Study of Bias Mitigation Methods for Software Fairness. - Zhenpeng Chen 001; Jie M. Zhang; Federica Sarro; Mark Harman (CoRR, 2022)

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey. - Max Hort; Zhenpeng Chen 001; Jie M. Zhang; Federica Sarro; Mark Harman (CoRR, 2022)

LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing. - Jinfeng Wen; Zhenpeng Chen 001; Ding Li 001; Junkai Chen; Yi Liu 014; Haoyu Wang 001; Xin Jin 008; Xuanzhe Liu (CoRR, 2022)

Software Engineering for Serverless Computing. - Jinfeng Wen; Zhenpeng Chen 001; Xuanzhe Liu (CoRR, 2022)

Who Judges the Judge: An Empirical Study on Online Judge Tests. - Kaibo Liu; Yudong Han 001; Jie M. Zhang; Zhenpeng Chen 001; Federica Sarro; Mark Harman; Gang Huang 001; Yun Ma 002 (ISSTA, 2023)

AutoML from Software Engineering Perspective: Landscapes and Challenges. - Chao Wang; Zhenpeng Chen 001; Minghui Zhou 001 (MSR, 2023)

Revisiting the Performance of Serverless Computing: An Analysis of Variance. - Jinfeng Wen; Zhenpeng Chen 001; Federica Sarro; Xuanzhe Liu (CoRR, 2023)

SuperFlow: Performance Testing for Serverless Computing. - Jinfeng Wen; Zhenpeng Chen 001; Federica Sarro; Xuanzhe Liu (CoRR, 2023)

An Empirical Study on Fairness Improvement with Multiple Protected Attributes. - Zhenpeng Chen 001; Jie M. Zhang; Federica Sarro; Mark Harman (CoRR, 2023)

Dark-Skin Individuals Are at More Risk on the Street: Unmasking Fairness Issues of Autonomous Driving Systems. - Xinyue Li; Zhenpeng Chen 001; Jie M. Zhang; Federica Sarro; Ying Zhang 012; Xuanzhe Liu (CoRR, 2023)

A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers. - Zhenpeng Chen 001; Jie M. Zhang; Federica Sarro; Mark Harman (ACM Trans. Softw. Eng. Methodol., 2023)

FaaSLight: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing. - Xuanzhe Liu; Jinfeng Wen; Zhenpeng Chen 001; Ding Li 001; Junkai Chen; Yi Liu 014; Haoyu Wang 001; Xin Jin 008 (ACM Trans. Softw. Eng. Methodol., 2023)

Rise of the Planet of Serverless Computing: A Systematic Review. - Jinfeng Wen; Zhenpeng Chen 001; Xin Jin 008; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2023)

Characterizing commodity serverless computing platforms. - Jinfeng Wen; Yi Liu 014; Zhenpeng Chen 001; Junkai Chen; Yun Ma 002 (J. Softw. Evol. Process., 2023)

Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective. - Xuanzhe Liu; Diandian Gu; Zhenpeng Chen 001; Jinfeng Wen; Zili Zhang; Yun Ma 002; Haoyu Wang 001; Xin Jin 008 (ACM Trans. Softw. Eng. Methodol., 2023)

Fairness Improvement with Multiple Protected Attributes: How Far Are We? - Zhenpeng Chen 001; Jie M. Zhang; Federica Sarro; Mark Harman (ICSE, 2024)

TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs. - Kaibo Liu; Yudong Han 001; Yiyang Liu; Jie M. Zhang; Zhenpeng Chen 001; Federica Sarro; Gang Huang 001; Yun Ma 002 (MSR, 2024)

What can we learn from quality assurance badges in open-source software? - Feng Li 037; Yiling Lou; Xin Tan 003; Zhenpeng Chen 001; Jinhao Dong; Yang Li; Xuanzhi Wang; Dan Hao 001; Lu Zhang 023 (Sci. China Inf. Sci., 2024)

Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance. - Qipeng Wang 001; Shiqi Jiang 002; Zhenpeng Chen 001; Xu Cao; Yuanchun Li 003; Aoyu Li; Ying Zhang 012; Yun Ma 002; Ting Cao 003; Xuanzhe Liu (CoRR, 2024)

LLM-Powered Test Case Generation for Detecting Tricky Bugs. - Kaibo Liu; Yiyang Liu; Zhenpeng Chen 001; Jie M. Zhang; Yudong Han 001; Yun Ma 002; Ge Li 001; Gang Huang 001 (CoRR, 2024)

Large Language Model-Based Agents for Software Engineering: A Survey. - Junwei Liu; Kaixin Wang; Yixuan Chen 012; Xin Peng 001; Zhenpeng Chen 001; Lingming Zhang 001; Yiling Lou (CoRR, 2024)

Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework. - Chong Wang 013; Zhenpeng Chen 001; Tianlin Li; Yilun Zhao 004; Yang Liu 003 (CoRR, 2024)

Security of Language Models for Code: A Systematic Literature Review. - Yuchen Chen; Weisong Sun; Chunrong Fang; Zhenpeng Chen 001; Yifei Ge; Tingxu Han; Quanjun Zhang; Yang Liu 003; Zhenyu Chen 001; Baowen Xu (CoRR, 2024)

Benchmarking Bias in Large Language Models during Role-Playing. - Xinyue Li; Zhenpeng Chen 001; Jie M. Zhang; Yiling Lou; Tianlin Li; Weisong Sun; Yang Liu 003; Xuanzhe Liu (CoRR, 2024)

Research artifacts in software engineering publications: Status and trends. - Mugeng Liu 001; Xiaolong Huang; Wei He; Yibing Xie; Jie M. Zhang; Xiang Jing; Zhenpeng Chen 001; Yun Ma 002 (J. Syst. Softw., 2024)

FLASH: Heterogeneity-Aware Federated Learning at Scale. - Chengxu Yang; Mengwei Xu 001; Qipeng Wang 001; Zhenpeng Chen 001; Kang Huang; Yun Ma 002; Kaigui Bian; Gang Huang 001; Yunxin Liu 001; Xin Jin 008; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2024)

Adonis: Practical and Efficient Control Flow Recovery through OS-level Traces. - Xuanzhe Liu; Chengxu Yang; Ding Li 001; Yuhan Zhou; Shaofei Li; Jiali Chen; Zhenpeng Chen 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Characterizing and Detecting WebAssembly Runtime Bugs. - Yixuan Zhang; Shangtong Cao; Haoyu Wang 001; Zhenpeng Chen 001; Xiapu Luo; Dongliang Mu; Yun Ma 002; Gang Huang 001; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2024)

Fairness Testing: A Comprehensive Survey and Analysis of Trends. - Zhenpeng Chen 001; Jie M. Zhang; Max Hort; Mark Harman; Federica Sarro (ACM Trans. Softw. Eng. Methodol., 2024)

Fairness Testing of Machine Translation Systems. - Zeyu Sun 004; Zhenpeng Chen 001; Jie Zhang 050; Dan Hao 001 (ACM Trans. Softw. Eng. Methodol., 2024)

When Automated Program Repair Meets Regression Testing - An Extensive Study on Two Million Patches. - Yiling Lou; Jun Yang 062; Samuel Benton; Dan Hao 001; Lin Tan 001; Zhenpeng Chen 001; Lu Zhang 023; Lingming Zhang 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Personality-Guided Code Generation Using Large Language Models. - Yaoqi Guo; Zhenpeng Chen 001; Jie M. Zhang; Yang Liu 003; Yun Ma 002 (ACL (1), 2025)

LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs. - Kaibo Liu; Zhenpeng Chen 001; Yiyang Liu; Jie M. Zhang; Mark Harman; Yudong Han 001; Yun Ma 002; Yihong Dong; Ge Li 001; Gang Huang 001 (ACL (1), 2025)

Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework. - Chong Wang 013; Zhenpeng Chen 001; Tianlin Li; Yilun Zhang; Yang Liu 003 (NIER@ICSE, 2025)

Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software. - Zhenpeng Chen 001; Xinyue Li; Jie M. Zhang; Federica Sarro; Yang Liu 003 (ICSE, 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 001; Chong Wang 013; Yang Liu 003; Baowen Xu; Zhenyu Chen 001 (ICSE, 2025)

Software Fairness Dilemma: Is Bias Mitigation a Zero-Sum Game? - Zhenpeng Chen 001; Xinyue Li; Jie M. Zhang; Weisong Sun; Ying Xiao; Tianlin Li; Yiling Lou; Yang Liu 003 (Proc. ACM Softw. Eng., 2025)

Anatomizing Deep Learning Inference in Web Browsers. - Qipeng Wang 001; Shiqi Jiang 002; Zhenpeng Chen 001; Xu Cao; Yuanchun Li 003; Aoyu Li; Yun Ma 002; Ting Cao 003; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2025)

Promptware Engineering: Software Engineering for LLM Prompt Development. - Zhenpeng Chen 001; Chong Wang 013; Weisong Sun; Guang Yang; Xuanzhe Liu; Jie M. Zhang; Yang Liu 003 (CoRR, 2025)

Unveiling overlooked performance variance in serverless computing. - Jinfeng Wen; Zhenpeng Chen 001; Federica Sarro; Shangguang Wang (Empir. Softw. Eng., 2025)

Bias behind the Wheel: Fairness Testing of Autonomous Driving Systems. - Xinyue Li; Zhenpeng Chen 001; Jie M. Zhang; Federica Sarro; Ying Zhang 012; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2025)

AMQA: An Adversarial Dataset for Benchmarking Bias of LLMs in Medicine and Healthcare. - Ying Xiao; Jie Huang; Ruijuan He; Jing Xiao; Mohammad Reza Mousavi 001; Yepang Liu 001; Kezhi Li; Zhenpeng Chen 001; Jie M. Zhang (CoRR, 2025)

Can Agents Fix Agent Issues? - Alfin Wijaya Rahardja; Junwei Liu; Weitong Chen; Zhenpeng Chen 001; Yiling Lou (CoRR, 2025)

A First Look at Bugs in LLM Inference Engines. - Mugeng Liu 001; Siqi Zhong; Weichen Bi; Yixuan Zhang; Zhiyang Chen; Zhenpeng Chen 001; Xuanzhe Liu; Yun Ma 002 (CoRR, 2025)

A Study on Thinking Patterns of Large Reasoning Models in Code Generation. - Kevin Halim; Sin G. Teo; Ruitao Feng; Zhenpeng Chen 001; Yang Gu; Chong Wang 013; Yang Liu 003 (CoRR, 2025)

SCOPE: Performance Testing for Serverless Computing. - Jinfeng Wen; Zhenpeng Chen 001; Jianshu Zhao; Federica Sarro; Haodi Ping; Ying Zhang 012; Shangguang Wang; Xuanzhe Liu (ACM Trans. Softw. Eng. Methodol., 2025)

BAMAS: Structuring Budget-Aware Multi-Agent Systems. - Liming Yang; Junyu Luo 002; Xuanzhe Liu; Yiling Lou; Zhenpeng Chen 001 (AAAI, 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 003; Zhenpeng Chen 001 (CoRR, 2026)

REprompt: Prompt Generation for Intelligent Software Development Guided by Requirements Engineering. - Junjie Shi; Weisong Sun; Zhenpeng Chen 001; Zhujun Wu; Xiaohong Chen 001; Zhi Jin 001; Yang Liu 003 (CoRR, 2026)

Agent-Based Software Artifact Evaluation. - Zhaonan Wu; Yanjie Zhao 001; Zhenpeng Chen 001; Zheng Wang; Haoyu Wang 001 (CoRR, 2026)

A Dual-Loop Agent Framework for Automated Vulnerability Reproduction. - Bin Liu; Yanjie Zhao 001; Zhenpeng Chen 001; Guoai Xu; Haoyu Wang 001 (CoRR, 2026)

LLMs Are Not a Silver Bullet: A Case Study on Software Fairness. - Xinyue Li; Sixuan Li; Ying Xiao; Jie M. Zhang; Zhou Yang 003; Xuanzhe Liu; Zhenpeng Chen 001 (CoRR, 2026)

Automatically Deriving Developers' Technical Expertise from the GitHub Social Network. - Yanchun Sun; Jiawei Wu; Xiaohan Zhao; Haizhou Xu; Ye Zhu 002; Zhenpeng Chen 001; Sihan Wang; Huizhen Jiang; Gang Huang 001 (ACM Trans. Softw. Eng. Methodol., 2026)

LLM-Based Misconfiguration Detection for AWS Serverless Computing. - Jinfeng Wen; Zhenpeng Chen 001; Zixi Zhu; Federica Sarro; Yi Liu 014; Haodi Ping; Shangguang Wang (ACM Trans. Softw. Eng. Methodol., 2026)

Probing Privacy Leaks in LLM-based Code Generation via Test Generation. - Yifei Ge; Zhenpeng Chen 001; Weisong Sun; Yuchen Chen; Chunrong Fang; Juan Zhai; Xiaofang Zhang; Xia Feng; Yang Liu 003; Zhenyu Chen 001 (CoRR, 2026)