Zhenpeng Chen
Orcid: 0000-0002-4765-1893
According to our database1,
Zhenpeng Chen
authored at least 53 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
ACM Trans. Softw. Eng. Methodol., July, 2024
ACM Trans. Softw. Eng. Methodol., June, 2024
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
IEEE Trans. Mob. Comput., January, 2024
J. Syst. Softw., 2024
CoRR, 2024
Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance.
CoRR, 2024
Sci. China Inf. Sci., 2024
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024
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
J. Softw. Evol. Process., October, 2023
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
CoRR, 2023
CoRR, 2023
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023
2022
LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing.
CoRR, 2022
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
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
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021
2020
CoRR, 2020
Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study.
CoRR, 2020
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020
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
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
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
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
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