Pinjia He

According to our database, Pinjia He authored at least 73 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering.

Xiaoxue Ma, Jacky Keung, Pinjia He, Yan Xiao, Xiao Yu, Yishu Li

IEEE Trans. Ind. Informatics, February, 2024

Go Static: Contextualized Logging Statement Generation.

Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu

Proc. ACM Softw. Eng., 2024

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache.

Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu

Proc. ACM Softw. Eng., 2024

End-to-end log statement generation at block-level.

Ying Fu, Meng Yan, Pinjia He, Chao Liu, Xiaohong Zhang, Dan Yang

J. Syst. Softw., 2024

Insight Over Sight? Exploring the Vision-Knowledge Conflicts in Multimodal LLMs.

Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, Jen-tse Huang, Qiuzhi Liu, Pinjia He, Zhaopeng Tu

CoRR, 2024

An Empirical Study on Package-Level Deprecation in Python Ecosystem.

Zhiqing Zhong, Shilin He, Haoxuan Wang, Boxi Yu, Haowen Yang, Pinjia He

CoRR, 2024

Unlocking the Power of Numbers: Log Compression via Numeric Token Parsing.

Siyu Yu, Yifan Wu, Ying Li, Pinjia He

CoRR, 2024

Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training.

Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Jiahao Xu, Tian Liang, Pinjia He, Zhaopeng Tu

CoRR, 2024

On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations.

Xiaoxue Ma, Huiqi Zou, Jacky Keung, Pinjia He, Yishu Li, Xiao Yu, Federica Sarro

CoRR, 2024

Aligning LLMs for FL-free Program Repair.

Junjielong Xu, Ying Fu, Shin Hwei Tan, Pinjia He

CoRR, 2024

LogPTR: Variable-Aware Log Parsing with Pointer Network.

Yifan Wu, Bingxu Chai, Siyu Yu, Ying Li, Pinjia He, Wei Jiang, Jianguo Li

CoRR, 2024

A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models.

Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu

CoRR, 2024

Deep Learning or Classical Machine Learning? An Empirical Study on Log-Based Anomaly Detection.

Boxi Yu, Jiayi Yao, Qiuai Fu, Zhiqing Zhong, Haotian Xie, Yaoliang Wu, Yuchi Ma, Pinjia He

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

DivLog: Log Parsing with Prompt Enhanced In-Context Learning.

Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

UniLog: Automatic Logging via LLM and In-Context Learning.

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles.

Dinghua Wang, Shuqing Li, Guanping Xiao, Yepang Liu, Yulei Sui, Pinjia He, Michael R. Lyu

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Testing Graph Database Systems via Equivalent Query Rewriting.

Qiuyang Mang, Aoyang Fang, Boxi Yu, Hanfei Chen, Pinjia He

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher.

Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions.

Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs.

Sihang Zhao, Youliang Yuan, Xiaoying Tang, Pinjia He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models.

Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Does ChatGPT Know That It Does Not Know? Evaluating the Black-Box Calibration of ChatGPT.

Youliang Yuan, Wenxuan Wang, Qingshuo Guo, Yiming Xiong, Chihao Shen, Pinjia He

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Brain: Log Parsing With Bidirectional Parallel Tree.

Siyu Yu, Pinjia He, Ningjiang Chen, Yifan Wu

IEEE Trans. Serv. Comput., 2023

Retromorphic Testing: A New Approach to the Test Oracle Problem.

Boxi Yu, Qiuyang Mang, Qingshuo Guo, Pinjia He

CoRR, 2023

LLMParser: A LLM-based Log Parsing Framework.

Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu

CoRR, 2023

Prompting for Automatic Log Template Extraction.

Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He

CoRR, 2023

Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study.

Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Michael R. Lyu

CoRR, 2023

Log Parsing with Generalization Ability under New Log Types.

Siyu Yu, Yifan Wu, Zhijing Li, Pinjia He, Ningjiang Chen, Changjian Liu

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Automated Testing and Improvement of Named Entity Recognition Systems.

Boxi Yu, Yiyan Hu, Qiuyang Mang, Wenhan Hu, Pinjia He

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Hue: A User-Adaptive Parser for Hybrid Logs.

Junjielong Xu, Qiuai Fu, Zhouruixing Zhu, Yutong Cheng, Zhijing Li, Yuchi Ma, Pinjia He

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

BiasAsker: Measuring the Bias in Conversational AI System.

Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software.

Wenxuan Wang, Jingyuan Huang, Jen-tse Huang, Chang Chen, Jiazhen Gu, Pinjia He, Michael R. Lyu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection.

Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

RPCover: Recovering gRPC Dependency in Multilingual Projects.

Aoyang Fang, Ruiyu Zhou, Xiaoying Tang, Pinjia He

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

ROME: Testing Image Captioning Systems via Recursive Object Melting.

Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Validating Multimedia Content Moderation Software via Semantic Fusion.

Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics.

Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

MTTM: Metamorphic Testing for Textual Content Moderation Software.

Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Incident-aware Duplicate Ticket Aggregation for Cloud Systems.

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

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

A Survey on Automated Log Analysis for Reliability Engineering.

Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu

ACM Comput. Surv., 2022

An empirical study of log analysis at Microsoft.

Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Automated testing of image captioning systems.

Boxi Yu, Zhiqing Zhong, Xinran Qin, Jiayi Yao, Yuancheng Wang, Pinjia He

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

AEON: a method for automatic evaluation of NLP test cases.

Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021

SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs.

Jiang Zhang, Shuai Wang, Manuel Rigger, Pinjia He, Zhendong Su

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

Testing Machine Translation via Referential Transparency.

Pinjia He, Clara Meister, Zhendong Su

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Hierarchical bucket tree: an efficient account structure for blockchain-based system.

Weili Chen, Zibin Zheng, Mingjie Ma, Pinjia He, Yuren Zhou, Jing Bian

Int. J. Embed. Syst., 2020

ACM SIGSOFT Empirical Standards.

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

CoRR, 2020

Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics.

Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu

CoRR, 2020

Machine translation testing via pathological invariance.

Shashij Gupta, Pinjia He, Clara Meister, Zhendong Su

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Structure-invariant testing for machine translation.

Pinjia He, Clara Meister, Zhendong Su

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression.

Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Tools and benchmarks for automated log parsing.

Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu

Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

Testing untestable neural machine translation: an industrial case.

Wujie Zheng, Wenyu Wang, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, Tao Xie

Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

Detecting Failures of Neural Machine Translation in the Absence of Reference Translations.

Wenyu Wang, Wujie Zheng, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, Tao Xie

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

2018

Towards Automated Log Parsing for Large-Scale Log Data Analysis.

Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu

IEEE Trans. Dependable Secur. Comput., 2018

A Directed Acyclic Graph Approach to Online Log Parsing.

Pinjia He, Jieming Zhu, Pengcheng Xu, Zibin Zheng, Michael R. Lyu

CoRR, 2018

Characterizing the natural language descriptions in software logging statements.

Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Efficient blockchain-based software systems via hierarchical bucket tree.

Weili Chen, Zibin Zheng, Mingjie Ma, Pinjia He, Peilin Zheng, Yuren Zhou

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017

Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization.

Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu

IEEE Trans. Parallel Distributed Syst., 2017

Semantically Consistent Image Completion with Fine-grained Details.

Pengpeng Liu, Xiaojuan Qi, Pinjia He, Yikang Li, Michael R. Lyu, Irwin King

CoRR, 2017

An End-To-End Log Management Framework for Distributed Systems.

Pinjia He

Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017

Software Defect Prediction via Convolutional Neural Network.

Jian Li, Pinjia He, Jieming Zhu, Michael R. Lyu

Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

CARP: Context-Aware Reliability Prediction of Black-Box Web Services.

Jieming Zhu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Drain: An Online Log Parsing Approach with Fixed Depth Tree.

Pinjia He, Jieming Zhu, Zibin Zheng, Michael R. Lyu

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

2016

Experience Report: System Log Analysis for Anomaly Detection.

Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu

Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

An Evaluation Study on Log Parsing and Its Use in Log Mining.

Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu

Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016

2015

PAID: Prioritizing app issues for developers by tracking user reviews over versions.

Cuiyun Gao, Baoxiang Wang, Pinjia He, Jieming Zhu, Yangfan Zhou, Michael R. Lyu

Proceedings of the 26th IEEE International Symposium on Software Reliability Engineering, 2015

A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation.

Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Learning to Log: Helping Developers Make Informed Logging Decisions.

Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014

A Hierarchical Matrix Factorization Approach for Location-Based Web Service QoS Prediction.

Pinjia He, Jieming Zhu, Jianlong Xu, Michael R. Lyu

Proceedings of the 8th IEEE International Symposium on Service Oriented System Engineering, 2014

Exploiting homophily-based implicit social network to improve recommendation performance.

Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Location-Based Hierarchical Matrix Factorization for Web Service Recommendation.

Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, Michael R. Lyu

Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation.

Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu

Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014