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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
- 2024
[j9]Ying Fu
, Meng Yan, Pinjia He, Chao Liu, Xiaohong Zhang, Dan Yang:
End-to-end log statement generation at block-level. J. Syst. Softw. 216: 112146 (2024)- [j8]Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu:
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. Proc. ACM Softw. Eng. 1(FSE): 137-160 (2024) - [j7]Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu:
Go Static: Contextualized Logging Statement Generation. Proc. ACM Softw. Eng. 1(FSE): 609-630 (2024) - [j6]Xiaoxue Ma, Jacky Keung, Pinjia He, Yan Xiao, Xiao Yu, Yishu Li:
A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering. IEEE Trans. Ind. Informatics 20(2): 1687-1697 (2024) - [c47]Youliang Yuan, Wenxuan Wang, Qingshuo Guo, Yiming Xiong, Chihao Shen, Pinjia He:
Does ChatGPT Know That It Does Not Know? Evaluating the Black-Box Calibration of ChatGPT. LREC/COLING 2024: 5191-5201 - [c46]Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu:
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models. EMNLP 2024: 2124-2155 - [c45]Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu:
SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions. ICDE 2024: 165-178 - [c44]Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu:
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher. ICLR 2024 - [c43]Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
UniLog: Automatic Logging via LLM and In-Context Learning. ICSE 2024: 14:1-14:12 - [c42]Boxi Yu, Jiayi Yao, Qiuai Fu, Zhiqing Zhong, Haotian Xie, Yaoliang Wu, Yuchi Ma, Pinjia He:
Deep Learning or Classical Machine Learning? An Empirical Study on Log-Based Anomaly Detection. ICSE 2024: 35:1-35:13 - [c41]Qiuyang Mang, Aoyang Fang, Boxi Yu, Hanfei Chen, Pinjia He:
Testing Graph Database Systems via Equivalent Query Rewriting. ICSE 2024: 143:1-143:12 - [c40]Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He:
DivLog: Log Parsing with Prompt Enhanced In-Context Learning. ICSE 2024: 199:1-199:12 - [c39]Dinghua Wang, Shuqing Li, Guanping Xiao, Yepang Liu, Yulei Sui, Pinjia He, Michael R. Lyu:
An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles. ICSE 2024: 210:1-210:13 - [i35]Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu:
A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models. CoRR abs/2401.00757 (2024) - [i34]Yifan Wu, Bingxu Chai, Siyu Yu, Ying Li, Pinjia He, Wei Jiang, Jianguo Li:
LogPTR: Variable-Aware Log Parsing with Pointer Network. CoRR abs/2401.05986 (2024) - [i33]Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu:
Go Static: Contextualized Logging Statement Generation. CoRR abs/2402.12958 (2024) - [i32]Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu:
SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions. CoRR abs/2403.17574 (2024) - [i31]Junjielong Xu, Ying Fu, Shin Hwei Tan, Pinjia He:
Aligning LLMs for FL-free Program Repair. CoRR abs/2404.08877 (2024) - [i30]Xiaoxue Ma, Huiqi Zou, Jacky Keung, Pinjia He, Yishu Li, Xiao Yu, Federica Sarro:
On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations. CoRR abs/2405.03489 (2024) - [i29]Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Jiahao Xu, Tian Liang, Pinjia He, Zhaopeng Tu:
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training. CoRR abs/2407.09121 (2024) - [i28]Siyu Yu, Yifan Wu, Ying Li, Pinjia He:
Unlocking the Power of Numbers: Log Compression via Numeric Token Parsing. CoRR abs/2408.05760 (2024) - [i27]Zhiqing Zhong, Shilin He, Haoxuan Wang, Boxi Yu, Haowen Yang, Pinjia He:
An Empirical Study on Package-Level Deprecation in Python Ecosystem. CoRR abs/2408.10327 (2024) - 2023
- [j5]Siyu Yu, Pinjia He, Ningjiang Chen, Yifan Wu:
Brain: Log Parsing With Bidirectional Parallel Tree. IEEE Trans. Serv. Comput. 16(5): 3224-3237 (2023) - [c38]Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE 2023: 2299-2311 - [c37]Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu:
MTTM: Metamorphic Testing for Textual Content Moderation Software. ICSE 2023: 2387-2399 - [c36]Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu:
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. ISSRE 2023: 355-366 - [c35]Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu:
Validating Multimedia Content Moderation Software via Semantic Fusion. ISSTA 2023: 576-588 - [c34]Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He:
ROME: Testing Image Captioning Systems via Recursive Object Melting. ISSTA 2023: 766-778 - [c33]Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu:
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection. ASE 2023: 497-509 - [c32]Wenxuan Wang, Jingyuan Huang, Jen-tse Huang, Chang Chen, Jiazhen Gu, Pinjia He, Michael R. Lyu:
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software. ASE 2023: 1339-1351 - [c31]Aoyang Fang, Ruiyu Zhou, Xiaoying Tang, Pinjia He:
RPCover: Recovering gRPC Dependency in Multilingual Projects. ASE 2023: 1930-1939 - [c30]Junjielong Xu, Qiuai Fu, Zhouruixing Zhu, Yutong Cheng, Zhijing Li, Yuchi Ma, Pinjia He:
Hue: A User-Adaptive Parser for Hybrid Logs. ESEC/SIGSOFT FSE 2023: 413-424 - [c29]Siyu Yu, Yifan Wu, Zhijing Li, Pinjia He, Ningjiang Chen, Changjian Liu:
Log Parsing with Generalization Ability under New Log Types. ESEC/SIGSOFT FSE 2023: 425-437 - [c28]Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu:
BiasAsker: Measuring the Bias in Conversational AI System. ESEC/SIGSOFT FSE 2023: 515-527 - [c27]Boxi Yu, Yiyan Hu, Qiuyang Mang, Wenhan Hu, Pinjia He:
Automated Testing and Improvement of Named Entity Recognition Systems. ESEC/SIGSOFT FSE 2023: 883-894 - [i26]Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu:
MTTM: Metamorphic Testing for Textual Content Moderation Software. CoRR abs/2302.05706 (2023) - [i25]Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR abs/2302.09520 (2023) - [i24]Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu:
BiasAsker: Measuring the Bias in Conversational AI System. CoRR abs/2305.12434 (2023) - [i23]Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu:
Validating Multimedia Content Moderation Software via Semantic Fusion. CoRR abs/2305.13623 (2023) - [i22]Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He:
ROME: Testing Image Captioning Systems via Recursive Object Melting. CoRR abs/2306.02228 (2023) - [i21]Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Michael R. Lyu:
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study. CoRR abs/2307.05950 (2023) - [i20]Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He:
Prompting for Automatic Log Template Extraction. CoRR abs/2307.09950 (2023) - [i19]Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu:
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher. CoRR abs/2308.06463 (2023) - [i18]Junjielong Xu, Qiuai Fu, Zhouruixing Zhu, Yutong Cheng, Zhijing Li, Yuchi Ma, Pinjia He:
Hue: A User-Adaptive Parser for Hybrid Logs. CoRR abs/2308.07085 (2023) - [i17]Boxi Yu, Yiyan Hu, Qiuyang Mang, Wenhan Hu, Pinjia He:
Automated Testing and Improvement of Named Entity Recognition Systems. CoRR abs/2308.07937 (2023) - [i16]Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu:
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection. CoRR abs/2308.09324 (2023) - [i15]Wenxuan Wang, Jingyuan Huang, Jen-tse Huang, Chang Chen, Jiazhen Gu, Pinjia He, Michael R. Lyu:
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software. CoRR abs/2308.09810 (2023) - [i14]Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu:
LLMParser: A LLM-based Log Parsing Framework. CoRR abs/2310.01796 (2023) - [i13]Boxi Yu, Qiuyang Mang, Qingshuo Guo, Pinjia He:
Retromorphic Testing: A New Approach to the Test Oracle Problem. CoRR abs/2310.06433 (2023) - 2022
- [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 (2022) - [c26]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 - [c25]Boxi Yu, Zhiqing Zhong, Xinran Qin, Jiayi Yao, Yuancheng Wang, Pinjia He:
Automated testing of image captioning systems. ISSTA 2022: 467-479 - [c24]Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin:
An empirical study of log analysis at Microsoft. ESEC/SIGSOFT FSE 2022: 1465-1476 - [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
- [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 Seide Molléri, 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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