| 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 | 192* | 2018 |
| 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 | 94 | 2020 |
| 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 | 90 | 2021 |
| 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 | 74 | 2019 |
| 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 | 56 | 2021 |
| 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 | 47 | 2019 |
| 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 | 44 | 2021 |
| 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 | 41 | 2023 |
| 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 | 39 | 2021 |
| 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, 2022 | 31 | 2022 |
| 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, 2023 | 25* | 2023 |
| 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 | 24 | 2020 |
| 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, https://doi.org/10.1371/journal.pone.026, 2022 | 23* | 2022 |
| Characterizing Commodity Serverless Computing Platforms J Wen, Y Liu, Z Chen, J Chen, Y Ma Journal of Software: Evolution and Process, SANER 2022 journal-first …, 2021 | 22* | 2021 |
| 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, 2023 | 20* | 2023 |
| Fairness testing: A comprehensive survey and analysis of trends Z Chen, JM Zhang, M Hort, F Sarro, M Harman arXiv preprint arXiv:2207.10223, 2022 | 20 | 2022 |
| 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 | 20 | 2017 |
| 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, 2023 | 16* | 2023 |
| 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 | 10 | 2022 |
| TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation C Yang, Y Li, M Xu, Z Chen, Y Liu, G Huang, X Liu ESEC/FSE 2021, 806-817, 2021 | 6 | 2021 |
Xuanzhe LiuPeking University | ACM Distinguished ScientistVerified email at pku.edu.cn
