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Zhenpeng Chen
Zhenpeng Chen
在 ntu.edu.sg 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Through a Gender Lens: Learning Usage Patterns of Emojis from Large-scale Android Users
Z Chen, X Lu, W Ai, H Li, Q Mei, X Liu
WWW 2018, 763-772, 2018
216*2018
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data
C Yang, Q Wang, M Xu, Z Chen, K Bian, Y Liu, X Liu
WWW 2021, 935-946, 2021
1252021
A Comprehensive Study on Challenges in Deploying Deep Learning Based Software
Z Chen, Y Cao, Y Liu, H Wang, T Xie, X Liu
ESEC/FSE 2020, 750-762, 2020
1122020
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification
Z Chen, S Shen, Z Hu, X Lu, Q Mei, X Liu
WWW 2019, Best Paper Award, 251-262, 2019
812019
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
M Hort, Z Chen, JM Zhang, F Sarro, M Harman
ACM Journal on Responsible Computing, 2023
692023
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
Z Chen, H Yao, Y Lou, Y Cao, Y Liu, H Wang, X Liu
ICSE 2021, 674-685, 2021
682021
SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering
Z Chen, Y Cao, X Lu, Q Mei, X Liu
ESEC/FSE 2019, 841-852, 2019
552019
An empirical study on challenges of application development in serverless computing
J Wen, Z Chen, Y Liu, Y Lou, Y Ma, G Huang, X Jin, X Liu
ESEC/FSE 2021, 416-428, 2021
492021
Rise of the Planet of Serverless Computing: A Systematic Review
J Wen, Z Chen, X Jin, X Liu
ACM Transactions on Software Engineering and Methodology (TOSEM) 2023 32 (5 …, 2023
482023
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers
Z Chen, JM Zhang, F Sarro, M Harman
ACM Transactions on Software Engineering and Methodology (TOSEM) 2023 32 (4 …, 2023
47*2023
MAAT: A Novel Ensemble Approach to Addressing Fairness and Performance Bugs for Machine Learning Software
Z Chen, JM Zhang, F Sarro, M Harman
ESEC/FSE 2022, 1122-1134, 2022
462022
Emoji-Powered Sentiment and Emotion Detection from Software Developers’ Communication Data
Z Chen, Y Cao, H Yao, X Lu, X Peng, H Mei, X Liu
ACM Transactions on Software Engineering and Methodology (TOSEM) 2021 30 (2 …, 2021
442021
Fairness testing: A comprehensive survey and analysis of trends
Z Chen, JM Zhang, M Hort, M Harman, F Sarro
ACM Transactions on Software Engineering and Methodology (TOSEM) 2024, 2024
422024
Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub
X Lu, W Ai, Z Chen, Y Cao, Q Mei
PLOS ONE 17 (1), e0261262, 2022
33*2022
FaaSLight: general application-level cold-start latency optimization for function-as-a-service in serverless computing
X Liu, J Wen, Z Chen, D Li, J Chen, Y Liu, H Wang, X Jin
ACM Transactions on Software Engineering and Methodology (TOSEM) 2023 32 (5 …, 2023
31*2023
Characterizing Commodity Serverless Computing Platforms
J Wen, Y Liu, Z Chen, J Chen, Y Ma
Journal of Software: Evolution and Process 35 (10), e2394, 2021
27*2021
Understanding Build Issue Resolution in Practice: Symptoms and Fix Patterns
Y Lou, Z Chen, Y Cao, D Hao, L Zhang
ESEC/FSE 2020, 617-628, 2020
262020
Prado: Predicting App Adoption by Learning the Correlation between Developer-controllable Properties and User Behaviors
X Lu, Z Chen, X Liu, H Li, T Xie, Q Mei
UbiComp 2017 1 (3), 79:1-79:30, 2017
212017
FLASH: Heterogeneity-Aware Federated Learning at Scale
C Yang, M Xu, Q Wang, Z Chen, K Huang, Y Ma, K Bian, G Huang, Y Liu, ...
IEEE Transactions on Mobile Computing (TMC) 2022, 2022
172022
Characterizing and Detecting WebAssembly Runtime Bugs
Z Yixuan, C Shangtong, W Haoyu, C Zhenpeng, L Xiapu, M Dongliang, ...
ACM Transactions on Software Engineering and Methodology, 2023
112023
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