Pinjia He

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 80

Top Topics

Matrix Factorization

Natural Language Descriptions

Top Venues

ESEC/SIGSOFT FSE

Publications

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) (2024)
Yifan Wu, Bingxu Chai, Siyu Yu, Ying Li, Pinjia He, Wei Jiang, Jianguo Li
LogPTR: Variable-Aware Log Parsing with Pointer Network. CoRR (2024)
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 (2024)
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)
Qiuyang Mang, Aoyang Fang, Boxi Yu, Hanfei Chen, Pinjia He
Testing Graph Database Systems via Equivalent Query Rewriting. ICSE (2024)
Junjielong Xu, Ying Fu, Shin Hwei Tan, Pinjia He
Aligning LLMs for FL-free Program Repair. CoRR (2024)
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 (2024)
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)
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 (2024)
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)
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)
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) (2024)
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 (2024)
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)
Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He
DivLog: Log Parsing with Prompt Enhanced In-Context Learning. ICSE (2024)
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 (2024)
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 (2024)
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)
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) (2024)
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 (2023)
Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu
BiasAsker: Measuring the Bias in Conversational AI System. CoRR (2023)
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)
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)
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)
Boxi Yu, Yiyan Hu, Qiuyang Mang, Wenhan Hu, Pinjia He
Automated Testing and Improvement of Named Entity Recognition Systems. ESEC/SIGSOFT FSE (2023)
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)
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)
Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He
ROME: Testing Image Captioning Systems via Recursive Object Melting. CoRR (2023)
Junjielong Xu, Qiuai Fu, Zhouruixing Zhu, Yutong Cheng, Zhijing Li, Yuchi Ma, Pinjia He
Hue: A User-Adaptive Parser for Hybrid Logs. CoRR (2023)
Siyu Yu, Pinjia He, Ningjiang Chen, Yifan Wu
Brain: Log Parsing With Bidirectional Parallel Tree. IEEE Trans. Serv. Comput. 16 (5) (2023)
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 (2023)
Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He
ROME: Testing Image Captioning Systems via Recursive Object Melting. ISSTA (2023)
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 (2023)
Aoyang Fang, Ruiyu Zhou, Xiaoying Tang, Pinjia He
RPCover: Recovering gRPC Dependency in Multilingual Projects. ASE (2023)
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)
Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection. CoRR (2023)
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 (2023)
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 (2023)
Boxi Yu, Qiuyang Mang, Qingshuo Guo, Pinjia He
Retromorphic Testing: A New Approach to the Test Oracle Problem. CoRR (2023)
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)
Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection. ASE (2023)
Boxi Yu, Yiyan Hu, Qiuyang Mang, Wenhan Hu, Pinjia He
Automated Testing and Improvement of Named Entity Recognition Systems. CoRR (2023)
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 (2023)
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 (2023)
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)
Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He
Prompting for Automatic Log Template Extraction. CoRR (2023)
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)
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 (2022)
Boxi Yu, Zhiqing Zhong, Xinran Qin, Jiayi Yao, Yuancheng Wang, Pinjia He
Automated Testing of Image Captioning Systems. CoRR (2022)
Boxi Yu, Zhiqing Zhong, Xinran Qin, Jiayi Yao, Yuancheng Wang, Pinjia He
Automated testing of image captioning systems. ISSTA (2022)
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)
Jiang Zhang, Shuai Wang, Manuel Rigger, Pinjia He, Zhendong Su
SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs. OSDI (2021)
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) (2021)
Pinjia He, Clara Meister, Zhendong Su
Testing Machine Translation via Referential Transparency. ICSE (2021)
Pinjia He, Clara Meister, Zhendong Su
Testing Machine Translation via Referential Transparency. CoRR (2020)
Shashij Gupta, Pinjia He, Clara Meister, Zhendong Su
Machine translation testing via pathological invariance. ESEC/SIGSOFT FSE (2020)
Pinjia He, Clara Meister, Zhendong Su
Structure-invariant testing for machine translation. ICSE (2020)
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) (2020)
Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu
Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics. CoRR (2020)
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu
A Survey on Automated Log Analysis for Reliability Engineering. CoRR (2020)
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 (2020)
Pinjia He, Clara Meister, Zhendong Su
Structure-Invariant Testing for Machine Translation. CoRR (2019)
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)
Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. CoRR (2019)
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)
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)
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)
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) (2018)
Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu
Tools and Benchmarks for Automated Log Parsing. CoRR (2018)
Pinjia He, Jieming Zhu, Pengcheng Xu, Zibin Zheng, Michael R. Lyu
A Directed Acyclic Graph Approach to Online Log Parsing. CoRR (2018)
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)
Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu
Characterizing the natural language descriptions in software logging statements. ASE (2018)
Jieming Zhu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu
CARP: Context-Aware Reliability Prediction of Black-Box Web Services. ICWS (2017)
Pinjia He
An End-To-End Log Management Framework for Distributed Systems. SRDS (2017)
Pinjia He, Jieming Zhu, Zibin Zheng, Michael R. Lyu
Drain: An Online Log Parsing Approach with Fixed Depth Tree. ICWS (2017)
Jian Li, Pinjia He, Jieming Zhu, Michael R. Lyu
Software Defect Prediction via Convolutional Neural Network. QRS (2017)
Pengpeng Liu, Xiaojuan Qi, Pinjia He, Yikang Li, Michael R. Lyu, Irwin King
Semantically Consistent Image Completion with Fine-grained Details. CoRR (2017)
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) (2017)
Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu
Experience Report: System Log Analysis for Anomaly Detection. ISSRE (2016)
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)
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)
Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu
A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation. CoRR (2015)
Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu
A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation. ICWS (2015)
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)
Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu
Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation. ICDCS (2014)
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)
Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, Michael R. Lyu
Location-Based Hierarchical Matrix Factorization for Web Service Recommendation. ICWS (2014)
Pinjia He, Jieming Zhu, Jianlong Xu, Michael R. Lyu
A Hierarchical Matrix Factorization Approach for Location-Based Web Service QoS Prediction. SOSE (2014)