Improving Image Quality of Thin-Slice and Low-keV Images in Dual-Energy CT Angiography for Children With Neuroblastoma Using Deep Learning Image Reconstruction.

[BibT_eX]

[DOI]

Jihang Sun

Haoyan Li

Int. J. Imaging Syst. Technol., 2025

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

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, ICSE 2025 - NIER, Ottawa, ON, Canada, April 27, 2025

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

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Personality-Guided Code Generation Using Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

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

[BibT_eX]

[DOI]

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

Fairness Testing of Machine Translation Systems.

[BibT_eX]

[DOI]

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

Fairness Testing: A Comprehensive Survey and Analysis of Trends.

[BibT_eX]

[DOI]

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

Characterizing and Detecting WebAssembly Runtime Bugs.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

FLASH: Heterogeneity-Aware Federated Learning at Scale.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., January, 2024

Research artifacts in software engineering publications: Status and trends.

[BibT_eX]

[DOI]

J. Syst. Softw., 2024

LLM-Based Misconfiguration Detection for AWS Serverless Computing.

[BibT_eX]

[DOI]

CoRR, 2024

Benchmarking Bias in Large Language Models during Role-Playing.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

LLM-Powered Test Case Generation for Detecting Tricky Bugs.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2024

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Characterizing commodity serverless computing platforms.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, 2023

An Empirical Study on Fairness Improvement with Multiple Protected Attributes.

[BibT_eX]

[DOI]

CoRR, 2023

SuperFlow: Performance Testing for Serverless Computing.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

AutoML from Software Engineering Perspective: Landscapes and Challenges.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2022

Software Engineering for Serverless Computing.

[BibT_eX]

[DOI]

Jinfeng Wen

Zhenpeng Chen

Xuanzhe Liu

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

A Literature Review on Serverless Computing.

[BibT_eX]

[DOI]

Jinfeng Wen

Zhenpeng Chen

Xuanzhe Liu

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Learning point embedding for 3D data processing.

[BibT_eX]

[DOI]

Zhenpeng Chen

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

Understanding Characteristics of Commodity Serverless Computing Platforms.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

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

Solving Sequential Text Classification as Board-Game Playing.

[BibT_eX]