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ORCIDPinjia He
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- affiliation: The Chinese University of Hong Kong, Shenzhen, China
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2020 – today
- 2022
[c25]Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu:
AEON: a method for automatic evaluation of NLP test cases. ISSTA 2022: 202-214- [c24]Boxi Yu, Zhiqing Zhong, Xinran Qin, Jiayi Yao, Yuancheng Wang, Pinjia He:
Automated testing of image captioning systems. ISSTA 2022: 467-479 - [i12]Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu:
AEON: A Method for Automatic Evaluation of NLP Test Cases. CoRR abs/2205.06439 (2022) - [i11]Boxi Yu, Zhiqing Zhong, Xinran Qin, Jiayi Yao, Yuancheng Wang, Pinjia He:
Automated Testing of Image Captioning Systems. CoRR abs/2206.06550 (2022) - 2021
- [j4]Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu:
A Survey on Automated Log Analysis for Reliability Engineering. ACM Comput. Surv. 54(6): 130:1-130:37 (2021) - [c23]Pinjia He, Clara Meister, Zhendong Su:
Testing Machine Translation via Referential Transparency. ICSE 2021: 410-422 - [c22]Jiang Zhang, Shuai Wang, Manuel Rigger, Pinjia He, Zhendong Su:
SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs. OSDI 2021: 479-494 - 2020
- [j3]Weili Chen, Zibin Zheng
, Mingjie Ma, Pinjia He, Yuren Zhou, Jing Bian:
Hierarchical bucket tree: an efficient account structure for blockchain-based system. Int. J. Embed. Syst. 12(4): 554-566 (2020) - [c21]Pinjia He, Clara Meister, Zhendong Su:
Structure-invariant testing for machine translation. ICSE 2020: 961-973 - [c20]Shashij Gupta, Pinjia He, Clara Meister, Zhendong Su:
Machine translation testing via pathological invariance. ESEC/SIGSOFT FSE 2020: 863-875 - [i10]Pinjia He, Clara Meister, Zhendong Su:
Testing Machine Translation via Referential Transparency. CoRR abs/2004.10361 (2020) - [i9]Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu:
Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics. CoRR abs/2008.06448 (2020) - [i8]Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu:
A Survey on Automated Log Analysis for Reliability Engineering. CoRR abs/2009.07237 (2020) - [i7]Paul Ralph, Sebastian Baltes, Domenico Bianculli, Yvonne Dittrich, Michael Felderer, Robert Feldt, Antonio Filieri, Carlo Alberto Furia, Daniel Graziotin, Pinjia He, Rashina Hoda, Natalia Juristo, Barbara A. Kitchenham, Romain Robbes, Daniel Méndez, Jefferson Molleri, Diomidis Spinellis, Miroslaw Staron, Klaas-Jan Stol, Damian A. Tamburri, Marco Torchiano, Christoph Treude, Burak Turhan, Sira Vegas:
ACM SIGSOFT Empirical Standards. CoRR abs/2010.03525 (2020)
2010 – 2019
- 2019
- [c19]Wenyu Wang, Wujie Zheng, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, Tao Xie:
Detecting Failures of Neural Machine Translation in the Absence of Reference Translations. DSN (Industry Track) 2019: 1-4 - [c18]Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu:
Tools and benchmarks for automated log parsing. ICSE (SEIP) 2019: 121-130 - [c17]Wujie Zheng, Wenyu Wang, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, Tao Xie:
Testing untestable neural machine translation: an industrial case. ICSE (Companion Volume) 2019: 314-315 - [c16]Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu:
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. ASE 2019: 863-873 - [i6]Pinjia He, Clara Meister, Zhendong Su:
Structure-Invariant Testing for Machine Translation. CoRR abs/1907.08710 (2019) - [i5]Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu:
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. CoRR abs/1910.00409 (2019) - 2018
- [j2]Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu:
Towards Automated Log Parsing for Large-Scale Log Data Analysis. IEEE Trans. Dependable Secur. Comput. 15(6): 931-944 (2018) - [c15]Weili Chen, Zibin Zheng, Mingjie Ma, Pinjia He, Peilin Zheng, Yuren Zhou:
Efficient blockchain-based software systems via hierarchical bucket tree. ICSE (Companion Volume) 2018: 360-361 - [c14]Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu:
Characterizing the natural language descriptions in software logging statements. ASE 2018: 178-189 - [i4]Pinjia He, Jieming Zhu, Pengcheng Xu, Zibin Zheng, Michael R. Lyu:
A Directed Acyclic Graph Approach to Online Log Parsing. CoRR abs/1806.04356 (2018) - [i3]Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu:
Tools and Benchmarks for Automated Log Parsing. CoRR abs/1811.03509 (2018) - 2017
- [j1]Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu:
Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization. IEEE Trans. Parallel Distributed Syst. 28(10): 2911-2924 (2017) - [c13]Jieming Zhu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu:
CARP: Context-Aware Reliability Prediction of Black-Box Web Services. ICWS 2017: 17-24 - [c12]Pinjia He, Jieming Zhu, Zibin Zheng, Michael R. Lyu:
Drain: An Online Log Parsing Approach with Fixed Depth Tree. ICWS 2017: 33-40 - [c11]Jian Li, Pinjia He, Jieming Zhu, Michael R. Lyu:
Software Defect Prediction via Convolutional Neural Network. QRS 2017: 318-328 - [c10]Pinjia He:
An End-To-End Log Management Framework for Distributed Systems. SRDS 2017: 266-267 - [i2]Pengpeng Liu, Xiaojuan Qi, Pinjia He, Yikang Li, Michael R. Lyu, Irwin King:
Semantically Consistent Image Completion with Fine-grained Details. CoRR abs/1711.09345 (2017) - 2016
- [c9]Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu:
An Evaluation Study on Log Parsing and Its Use in Log Mining. DSN 2016: 654-661 - [c8]Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu:
Experience Report: System Log Analysis for Anomaly Detection. ISSRE 2016: 207-218 - 2015
- [c7]Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang:
Learning to Log: Helping Developers Make Informed Logging Decisions. ICSE (1) 2015: 415-425 - [c6]Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu:
A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation. ICWS 2015: 241-248 - [c5]Cuiyun Gao, Baoxiang Wang, Pinjia He, Jieming Zhu, Yangfan Zhou, Michael R. Lyu:
PAID: Prioritizing app issues for developers by tracking user reviews over versions. ISSRE 2015: 35-45 - [i1]Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu:
A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation. CoRR abs/1502.06084 (2015) - 2014
- [c4]Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu:
Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation. ICDCS 2014: 318-327 - [c3]Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, Michael R. Lyu:
Location-Based Hierarchical Matrix Factorization for Web Service Recommendation. ICWS 2014: 297-304 - [c2]Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King:
Exploiting homophily-based implicit social network to improve recommendation performance. IJCNN 2014: 2539-2547 - [c1]Pinjia He, Jieming Zhu, Jianlong Xu, Michael R. Lyu:
A Hierarchical Matrix Factorization Approach for Location-Based Web Service QoS Prediction. SOSE 2014: 290-295
Coauthor Index
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