Zhenpeng Chen

According to our database, Zhenpeng Chen authored at least 51 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fairness Testing of Machine Translation Systems.

Zeyu Sun, Zhenpeng Chen, Jie Zhang, Dan Hao

ACM Trans. Softw. Eng. Methodol., July, 2024

Fairness Testing: A Comprehensive Survey and Analysis of Trends.

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

ACM Trans. Softw. Eng. Methodol., June, 2024

Characterizing and Detecting WebAssembly Runtime Bugs.

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

ACM Trans. Softw. Eng. Methodol., February, 2024

<i>Adonis</i>: Practical and Efficient Control Flow Recovery through OS-level Traces.

Xuanzhe Liu, Chengxu Yang, Ding Li, Yuhan Zhou, Shaofei Li, Jiali Chen, Zhenpeng Chen

ACM Trans. Softw. Eng. Methodol., January, 2024

FLASH: Heterogeneity-Aware Federated Learning at Scale.

Chengxu Yang, Mengwei Xu, Qipeng Wang, Zhenpeng Chen, Kang Huang, Yun Ma, Kaigui Bian, Gang Huang, Yunxin Liu, Xin Jin, Xuanzhe Liu

IEEE Trans. Mob. Comput., January, 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

J. Syst. Softw., 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

CoRR, 2024

LLM-Powered Test Case Generation for Detecting Tricky Bugs.

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

CoRR, 2024

Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance.

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

CoRR, 2024

What can we learn from quality assurance badges in open-source software?

Feng Li, Yiling Lou, Xin Tan, Zhenpeng Chen, Jinhao Dong, Yang Li, Xuanzhi Wang, Dan Hao, Lu Zhang

Sci. China Inf. Sci., 2024

TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs.

Kaibo Liu, Yudong Han, Yiyang Liu, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Gang Huang, Yun Ma

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

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

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

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

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

ACM Trans. Softw. Eng. Methodol., November, 2023

Characterizing commodity serverless computing platforms.

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

J. Softw. Evol. Process., October, 2023

Rise of the Planet of Serverless Computing: A Systematic Review.

Jinfeng Wen, Zhenpeng Chen, Xin Jin, Xuanzhe Liu

ACM Trans. Softw. Eng. Methodol., September, 2023

<i>FaaSLight</i>: 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

ACM Trans. Softw. Eng. Methodol., September, 2023

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

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

ACM Trans. Softw. Eng. Methodol., July, 2023

Dark-Skin Individuals Are at More Risk on the Street: Unmasking Fairness Issues of Autonomous Driving Systems.

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

CoRR, 2023

An Empirical Study on Fairness Improvement with Multiple Protected Attributes.

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

CoRR, 2023

SuperFlow: Performance Testing for Serverless Computing.

Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Xuanzhe Liu

CoRR, 2023

Revisiting the Performance of Serverless Computing: An Analysis of Variance.

Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Xuanzhe Liu

CoRR, 2023

AutoML from Software Engineering Perspective: Landscapes and Challenges.

Chao Wang, Zhenpeng Chen, Minghui Zhou

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Who Judges the Judge: An Empirical Study on Online Judge Tests.

Kaibo Liu, Yudong Han, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Mark Harman, Gang Huang, Yun Ma

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022

Software Engineering for Serverless Computing.

Jinfeng Wen, Zhenpeng Chen, Xuanzhe Liu

CoRR, 2022

LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing.

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

CoRR, 2022

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey.

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

CoRR, 2022

A Comprehensive Empirical Study of Bias Mitigation Methods for Software Fairness.

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

CoRR, 2022

A Literature Review on Serverless Computing.

Jinfeng Wen, Zhenpeng Chen, Xuanzhe Liu

CoRR, 2022

MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software.

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

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021

Emoji-powered Sentiment and Emotion Detection from Software Developers' Communication Data.

Zhenpeng Chen, Yanbin Cao, Huihan Yao, Xuan Lu, Xin Peng, Hong Mei, Xuanzhe Liu

ACM Trans. Softw. Eng. Methodol., 2021

Demystifying Developers' Issues in Distributed Training of Deep Learning Software.

Diandian Gu, Zhenpeng Chen, Yuanqiang Liu, Zili Zhang, Yun Ma, Xin Jin, Xuanzhe Liu

CoRR, 2021

Learning point embedding for 3D data processing.

Zhenpeng Chen

CoRR, 2021

Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub.

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

CoRR, 2021

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation.

Chengxu Yang, Yuanchun Li, Mengwei Xu, Zhenpeng Chen, Yunxin Liu, Gang Huang, Xuanzhe Liu

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

An empirical study on challenges of application development in serverless computing.

Jinfeng Wen, Zhenpeng Chen, Yi Liu, Yiling Lou, Yun Ma, Gang Huang, Xin Jin, Xuanzhe Liu

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Understanding Characteristics of Commodity Serverless Computing Platforms.

Jinfeng Wen, Yi Liu, Zhenpeng Chen, Yun Ma, Haoyu Wang, Xuanzhe Liu

CoRR, 2020

Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study.

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

CoRR, 2020

Understanding build issue resolution in practice: symptoms and fix patterns.

Yiling Lou, Zhenpeng Chen, Yanbin Cao, Dan Hao, Lu Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

A comprehensive study on challenges in deploying deep learning based software.

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

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract).

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Solving Sequential Text Classification as Board-Game Playing.

Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification.

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

Proceedings of the World Wide Web Conference, 2019

SEntiMoji: an emoji-powered learning approach for sentiment analysis in software engineering.

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

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

PointLaneNet: Efficient end-to-end CNNs for Accurate Real-Time Lane Detection.

Zhenpeng Chen, Qianfei Liu, Chenfan Lian

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

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

Xuan Lu, Yanbin Cao, Zhenpeng Chen, Xuanzhe Liu

CoRR, 2018

Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification.

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

CoRR, 2018

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

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017

PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors.

Xuan Lu, Zhenpeng Chen, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Through a Gender Lens: An Empirical Study of Emoji Usage over Large-Scale Android Users.

Zhenpeng Chen, Xuan Lu, Sheng Shen, Wei Ai, Xuanzhe Liu, Qiaozhu Mei

CoRR, 2017