Zhenpeng Chen

Orcid: 0000-0002-4765-1893

According to our database1, Zhenpeng Chen authored at least 53 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
Fairness Testing of Machine Translation Systems.
ACM Trans. Softw. Eng. Methodol., July, 2024

Fairness Testing: A Comprehensive Survey and Analysis of Trends.
ACM Trans. Softw. Eng. Methodol., June, 2024

Characterizing and Detecting WebAssembly Runtime Bugs.
ACM Trans. Softw. Eng. Methodol., February, 2024

<i>Adonis</i>: Practical and Efficient Control Flow Recovery through OS-level Traces.
ACM Trans. Softw. Eng. Methodol., January, 2024

FLASH: Heterogeneity-Aware Federated Learning at Scale.
IEEE Trans. Mob. Comput., January, 2024

Research artifacts in software engineering publications: Status and trends.
J. Syst. Softw., 2024

Security of Language Models for Code: A Systematic Literature Review.
CoRR, 2024

Towards Trustworthy LLMs for Code: A Data-Centric Synergistic Auditing Framework.
CoRR, 2024

Large Language Model-Based Agents for Software Engineering: A Survey.
CoRR, 2024

LLM-Powered Test Case Generation for Detecting Tricky Bugs.
CoRR, 2024

Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance.
CoRR, 2024

What can we learn from quality assurance badges in open-source software?
Sci. China Inf. Sci., 2024

TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

Fairness Improvement with Multiple Protected Attributes: How Far Are We?
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.
ACM Trans. Softw. Eng. Methodol., November, 2023

Characterizing commodity serverless computing platforms.
J. Softw. Evol. Process., October, 2023

Rise of the Planet of Serverless Computing: A Systematic Review.
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.
ACM Trans. Softw. Eng. Methodol., September, 2023

A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers.
ACM Trans. Softw. Eng. Methodol., July, 2023

Dark-Skin Individuals Are at More Risk on the Street: Unmasking Fairness Issues of Autonomous Driving Systems.
CoRR, 2023

An Empirical Study on Fairness Improvement with Multiple Protected Attributes.
CoRR, 2023

SuperFlow: Performance Testing for Serverless Computing.
CoRR, 2023

Revisiting the Performance of Serverless Computing: An Analysis of Variance.
CoRR, 2023

AutoML from Software Engineering Perspective: Landscapes and Challenges.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Who Judges the Judge: An Empirical Study on Online Judge Tests.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022
Software Engineering for Serverless Computing.
CoRR, 2022

LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing.
CoRR, 2022

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey.
CoRR, 2022

A Comprehensive Empirical Study of Bias Mitigation Methods for Software Fairness.
CoRR, 2022

A Literature Review on Serverless Computing.
CoRR, 2022

MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software.
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.
ACM Trans. Softw. Eng. Methodol., 2021

Demystifying Developers' Issues in Distributed Training of Deep Learning Software.
CoRR, 2021

Learning point embedding for 3D data processing.
CoRR, 2021

Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub.
CoRR, 2021

Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data.
Proceedings of the WWW '21: The Web Conference 2021, 2021

TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation.
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.
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.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
Understanding Characteristics of Commodity Serverless Computing Platforms.
CoRR, 2020

Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study.
CoRR, 2020

Understanding build issue resolution in practice: symptoms and fix patterns.
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.
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).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Solving Sequential Text Classification as Board-Game Playing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification.
Proceedings of the World Wide Web Conference, 2019

SEntiMoji: an emoji-powered learning approach for sentiment analysis in software engineering.
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.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018
A First Look at Emoji Usage on GitHub: An Empirical Study.
CoRR, 2018

Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification.
CoRR, 2018

Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users.
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.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Through a Gender Lens: An Empirical Study of Emoji Usage over Large-Scale Android Users.
CoRR, 2017


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