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2020 – today
- 2024
[j14]Feng Li, Yiling Lou, Xin Tan, Zhenpeng Chen, Jinhao Dong, Yang Li, Xuanzhi Wang, Dan Hao, Lu Zhang:
What can we learn from quality assurance badges in open-source software? Sci. China Inf. Sci. 67(4) (2024)- [j13]Mugeng Liu, Xiaolong Huang, Wei He, Yibing Xie, Jie M. Zhang, Xiang Jing
, Zhenpeng Chen, Yun Ma:
Research artifacts in software engineering publications: Status and trends. J. Syst. Softw. 213: 112032 (2024) - [j12]Chengxu Yang, Mengwei Xu, Qipeng Wang, Zhenpeng Chen, Kang Huang, Yun Ma, Kaigui Bian, Gang Huang, Yunxin Liu, Xin Jin, Xuanzhe Liu:
FLASH: Heterogeneity-Aware Federated Learning at Scale. IEEE Trans. Mob. Comput. 23(1): 483-500 (2024) - [j11]Xuanzhe Liu, Chengxu Yang, Ding Li, Yuhan Zhou, Shaofei Li, Jiali Chen, Zhenpeng Chen:
Adonis: Practical and Efficient Control Flow Recovery through OS-level Traces. ACM Trans. Softw. Eng. Methodol. 33(1): 2:1-2:27 (2024) - [j10]Yixuan Zhang, Shangtong Cao, Haoyu Wang, Zhenpeng Chen, Xiapu Luo, Dongliang Mu, Yun Ma, Gang Huang, Xuanzhe Liu:
Characterizing and Detecting WebAssembly Runtime Bugs. ACM Trans. Softw. Eng. Methodol. 33(2): 37:1-37:29 (2024) - [j9]Zhenpeng Chen, Jie M. Zhang, Max Hort, Mark Harman, Federica Sarro:
Fairness Testing: A Comprehensive Survey and Analysis of Trends. ACM Trans. Softw. Eng. Methodol. 33(5): 137:1-137:59 (2024) - [j8]Zeyu Sun, Zhenpeng Chen, Jie Zhang, Dan Hao:
Fairness Testing of Machine Translation Systems. ACM Trans. Softw. Eng. Methodol. 33(6): 156 (2024) - [c17]Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
Fairness Improvement with Multiple Protected Attributes: How Far Are We? ICSE 2024: 160:1-160:13 - [c16]Kaibo Liu, Yudong Han, Yiyang Liu, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Gang Huang, Yun Ma:
TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs. MSR 2024: 113-117 - [i25]Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Ying Zhang, Yun Ma, Ting Cao, Xuanzhe Liu:
Exploring the Impact of In-Browser Deep Learning Inference on Quality of User Experience and Performance. CoRR abs/2402.05981 (2024) - [i24]Mugeng Liu, Xiaolong Huang, Wei He, Yibing Xie, Jie M. Zhang, Xiang Jing, Zhenpeng Chen, Yun Ma:
Research Artifacts in Software Engineering Publications: Status and Trends. CoRR abs/2404.06852 (2024) - [i23]Kaibo Liu, Yiyang Liu, Zhenpeng Chen, Jie M. Zhang, Yudong Han, Yun Ma, Ge Li, Gang Huang:
LLM-Powered Test Case Generation for Detecting Tricky Bugs. CoRR abs/2404.10304 (2024) - [i22]Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, Yiling Lou:
Large Language Model-Based Agents for Software Engineering: A Survey. CoRR abs/2409.02977 (2024) - 2023
- [j7]Jinfeng Wen, Yi Liu, Zhenpeng Chen, Junkai Chen, Yun Ma:
Characterizing commodity serverless computing platforms. J. Softw. Evol. Process. 35(10) (2023) - [j6]Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers. ACM Trans. Softw. Eng. Methodol. 32(4): 106:1-106:30 (2023) - [j5]Xuanzhe Liu, Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin:
FaaSLight: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing. ACM Trans. Softw. Eng. Methodol. 32(5): 119:1-119:29 (2023) - [j4]Jinfeng Wen, Zhenpeng Chen, Xin Jin, Xuanzhe Liu:
Rise of the Planet of Serverless Computing: A Systematic Review. ACM Trans. Softw. Eng. Methodol. 32(5): 131:1-131:61 (2023) - [j3]Xuanzhe Liu, Diandian Gu, Zhenpeng Chen, Jinfeng Wen, Zili Zhang, Yun Ma, Haoyu Wang, Xin Jin:
Rise of Distributed Deep Learning Training in the Big Model Era: From a Software Engineering Perspective. ACM Trans. Softw. Eng. Methodol. 32(6): 156:1-156:26 (2023) - [c15]Kaibo Liu, Yudong Han, Jie M. Zhang, Zhenpeng Chen, Federica Sarro, Mark Harman, Gang Huang, Yun Ma:
Who Judges the Judge: An Empirical Study on Online Judge Tests. ISSTA 2023: 334-346 - [c14]Chao Wang, Zhenpeng Chen, Minghui Zhou:
AutoML from Software Engineering Perspective: Landscapes and Challenges. MSR 2023: 39-51 - [i21]Yixuan Zhang, Shangtong Cao, Haoyu Wang, Zhenpeng Chen, Xiapu Luo, Dongliang Mu, Yun Ma, Gang Huang, Xuanzhe Liu:
Characterizing and Detecting WebAssembly Runtime Bugs. CoRR abs/2301.12102 (2023) - [i20]Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Xuanzhe Liu:
Revisiting the Performance of Serverless Computing: An Analysis of Variance. CoRR abs/2305.04309 (2023) - [i19]Jinfeng Wen, Zhenpeng Chen, Federica Sarro, Xuanzhe Liu:
SuperFlow: Performance Testing for Serverless Computing. CoRR abs/2306.01620 (2023) - [i18]Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
An Empirical Study on Fairness Improvement with Multiple Protected Attributes. CoRR abs/2308.01923 (2023) - [i17]Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Ying Zhang, Xuanzhe Liu:
Dark-Skin Individuals Are at More Risk on the Street: Unmasking Fairness Issues of Autonomous Driving Systems. CoRR abs/2308.02935 (2023) - 2022
- [c13]Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software. ESEC/SIGSOFT FSE 2022: 1122-1134 - [i16]Jinfeng Wen, Zhenpeng Chen, Xuanzhe Liu:
A Literature Review on Serverless Computing. CoRR abs/2206.12275 (2022) - [i15]Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
A Comprehensive Empirical Study of Bias Mitigation Methods for Software Fairness. CoRR abs/2207.03277 (2022) - [i14]Max Hort, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Mark Harman:
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey. CoRR abs/2207.07068 (2022) - [i13]Jinfeng Wen, Zhenpeng Chen, Ding Li, Junkai Chen, Yi Liu, Haoyu Wang, Xin Jin, Xuanzhe Liu:
LambdaLite: Application-Level Optimization for Cold Start Latency in Serverless Computing. CoRR abs/2207.08175 (2022) - [i12]Zhenpeng Chen, Jie M. Zhang, Max Hort, Federica Sarro, Mark Harman:
Fairness Testing: A Comprehensive Survey and Analysis of Trends. CoRR abs/2207.10223 (2022) - [i11]Jinfeng Wen, Zhenpeng Chen, Xuanzhe Liu:
Software Engineering for Serverless Computing. CoRR abs/2207.13263 (2022) - 2021
- [j2]Zhenpeng Chen, Yanbin Cao, Huihan Yao, Xuan Lu, Xin Peng, Hong Mei, Xuanzhe Liu:
Emoji-powered Sentiment and Emotion Detection from Software Developers' Communication Data. ACM Trans. Softw. Eng. Methodol. 30(2): 18:1-18:48 (2021) - [c12]Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu:
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. ICSE 2021: 674-685 - [c11]Jinfeng Wen, Zhenpeng Chen, Yi Liu, Yiling Lou, Yun Ma, Gang Huang, Xin Jin, Xuanzhe Liu:
An empirical study on challenges of application development in serverless computing. ESEC/SIGSOFT FSE 2021: 416-428 - [c10]Chengxu Yang, Yuanchun Li, Mengwei Xu, Zhenpeng Chen, Yunxin Liu, Gang Huang, Xuanzhe Liu:
TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation. ESEC/SIGSOFT FSE 2021: 806-817 - [c9]Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu:
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. WWW 2021: 935-946 - [i10]Zhenpeng Chen, Huihan Yao, Yiling Lou, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Xuanzhe Liu:
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications. CoRR abs/2101.04930 (2021) - [i9]Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Xuanzhe Liu, Qiaozhu Mei:
Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub. CoRR abs/2102.05737 (2021) - [i8]Zhenpeng Chen:
Learning point embedding for 3D data processing. CoRR abs/2107.08565 (2021) - [i7]Diandian Gu, Zhenpeng Chen, Yuanqiang Liu, Zili Zhang, Yun Ma, Xin Jin, Xuanzhe Liu:
Demystifying Developers' Issues in Distributed Training of Deep Learning Software. CoRR abs/2112.06222 (2021) - 2020
- [c8]Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua:
Solving Sequential Text Classification as Board-Game Playing. AAAI 2020: 8640-8648 - [c7]Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). IJCAI 2020: 4701-4705 - [c6]Yiling Lou, Zhenpeng Chen, Yanbin Cao, Dan Hao, Lu Zhang:
Understanding build issue resolution in practice: symptoms and fix patterns. ESEC/SIGSOFT FSE 2020: 617-628 - [c5]Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu:
A comprehensive study on challenges in deploying deep learning based software. ESEC/SIGSOFT FSE 2020: 750-762 - [i6]Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu:
Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study. CoRR abs/2005.00760 (2020) - [i5]Jinfeng Wen, Yi Liu, Zhenpeng Chen, Yun Ma, Haoyu Wang, Xuanzhe Liu:
Understanding Characteristics of Commodity Serverless Computing Platforms. CoRR abs/2012.00992 (2020)
2010 – 2019
- 2019
- [c4]Zhenpeng Chen, Qianfei Liu, Chenfan Lian:
PointLaneNet: Efficient end-to-end CNNs for Accurate Real-Time Lane Detection. IV 2019: 2563-2568 - [c3]Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
SEntiMoji: an emoji-powered learning approach for sentiment analysis in software engineering. ESEC/SIGSOFT FSE 2019: 841-852 - [c2]Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. WWW 2019: 251-262 - [i4]Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering. CoRR abs/1907.02202 (2019) - 2018
- [c1]Zhenpeng Chen, Xuan Lu, Wei Ai, Huoran Li, Qiaozhu Mei, Xuanzhe Liu:
Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users. WWW 2018: 763-772 - [i3]Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. CoRR abs/1806.02557 (2018) - [i2]Xuan Lu, Yanbin Cao, Zhenpeng Chen, Xuanzhe Liu:
A First Look at Emoji Usage on GitHub: An Empirical Study. CoRR abs/1812.04863 (2018) - 2017
- [j1]Xuan Lu, Zhenpeng Chen, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei:
PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 79:1-79:30 (2017) - [i1]Zhenpeng Chen, Xuan Lu, Sheng Shen, Wei Ai, Xuanzhe Liu, Qiaozhu Mei:
Through a Gender Lens: An Empirical Study of Emoji Usage over Large-Scale Android Users. CoRR abs/1705.05546 (2017)
Coauthor Index
aka: Jie M. Zhang
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