Pinjia He

138 papers A* 26A 13B 2C 1Journal 77Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeLog: An Efficient Log Compression Framework with Pattern Signature Synthesis.
CoRR
Siyu Yu, Yifan Wu, Junjielong Xu, Ying Fu, Ning Wang, Maoyin Liu, Pancheng Jiang, Xiang Zhang, Tong Jia, Pinjia He, Ying Li
2026 A* conf
MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning.
AAAI
Jianbo Yu, Yixuan Li, Hai Xu, Kang Xu, Junjielong Xu, Zhijing Li, Pinjia He, Wanyuan Wang
2026 J jnl
MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning.
CoRR
Jianbo Yu, Yixuan Li, Hai Xu, Kang Xu, Junjielong Xu, Zhijing Li, Pinjia He, Wanyuan Wang
2026 J jnl
SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark.
CoRR
Boxi Yu, Yang Cao, Yuzhong Zhang, Liting Lin, Junjielong Xu, Zhiqing Zhong, Qinghua Xu, Guancheng Wang, Jialun Cao, Shing-Chi Cheung, Pinjia He, Lionel C. Briand
2026 J jnl
SWE-Manager: Selecting and Synthesizing Golden Proposals Before Coding.
CoRR
Boyin Tan, Haoning Deng, Junyuan Zhang, Junjielong Xu, Pinjia He, Youcheng Sun
2026 J jnl
The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context.
CoRR
Xiaoyuan Liu, Tian Liang, Dongyang Ma, Deyu Zhou, Haitao Mi, Pinjia He, Yan Wang
2025 J jnl
A Goal-Driven Survey on Root Cause Analysis.
CoRR
Aoyang Fang, Haowen Yang, Haoze Dong, Qisheng Lu, Junjielong Xu, Pinjia He
2025 J jnl
AL-Bench: A Benchmark for Automatic Logging.
CoRR
Boyin Tan, Junjielong Xu, Zhouruixing Zhu, Pinjia He
2025 A* conf
Aligning the Objective of LLM-Based Program Repair.
ICSE
Junjielong Xu, Ying Fu, Shin Hwei Tan, Pinjia He
2025 J jnl
An Empirical Study of SOTA RCA Models: From Oversimplified Benchmarks to Realistic Failures.
CoRR
Aoyang Fang, Songhan Zhang, Yifan Yang, Haotong Wu, Junjielong Xu, Xuyang Wang, Rui Wang, Manyi Wang, Qisheng Lu, Pinjia He
2025 A* conf
An Empirical Study on Package-Level Deprecation in Python Ecosystem.
ICSE
Zhiqing Zhong, Shilin He, Haoxuan Wang, Boxi Yu, Haowen Yang, Pinjia He
2025 J jnl
Artificial Intelligence for Software Engineering: The Journey So Far and the Road Ahead.
ACM Trans. Softw. Eng. Methodol.
Iftekhar Ahmed, Aldeida Aleti, Haipeng Cai, Alexander Chatzigeorgiou, Pinjia He, Xing Hu, Mauro Pezzè, Denys Poshyvanyk, Xin Xia
2025 J jnl
BackportBench: A Multilingual Benchmark for Automated Backporting of Patches.
CoRR
Zhiqing Zhong, Jiaming Huang, Pinjia He
2025 J jnl
CLEANet: Robust and Efficient Anomaly Detection in Contaminated Multivariate Time Series.
CoRR
Songhan Zhang, Yuanhao Lai, Pengfei Zheng, Boxi Yu, Xiaoying Tang, Qiuai Fu, Pinjia He
2025 — conf
Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs.
ACL (1)
Wenxuan Wang, Xiaoyuan Liu, Kuiyi Gao, Jen-tse Huang, Youliang Yuan, Pinjia He, Shuai Wang, Zhaopeng Tu
2025 J jnl
Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs.
CoRR
Wenxuan Wang, Xiaoyuan Liu, Kuiyi Gao, Jen-tse Huang, Youliang Yuan, Pinjia He, Shuai Wang, Zhaopeng Tu
2025 J jnl
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards.
CoRR
Youliang Yuan, Qiuyang Mang, Jingbang Chen, Hong Wan, Xiaoyuan Liu, Junjielong Xu, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Pinjia He
2025 J jnl
Dual-Actor Fine-Tuning of VLA Models: A Talk-and-Tweak Human-in-the-Loop Approach.
CoRR
Piaopiao Jin, Qi Wang, Guokang Sun, Ziwen Cai, Pinjia He, Yangwei You
2025 J jnl
DynaCausal: Dynamic Causality-Aware Root Cause Analysis for Distributed Microservices.
CoRR
Songhan Zhang, Aoyang Fang, Yifan Yang, Ruiyi Cheng, Xiaoying Tang, Pinjia He
2025 J jnl
Finding Logic Bugs in Graph-processing Systems via Graph-cutting.
Proc. ACM Manag. Data
Qiuyang Mang, Jinsheng Ba, Pinjia He, Manuel Rigger
2025 J jnl
How Should I Build A Benchmark? Revisiting Code-Related Benchmarks For LLMs.
CoRR
Jialun Cao, Yuk-Kit Chan, Zixuan Ling, Wenxuan Wang, Shuqing Li, Mingwei Liu, Ruixi Qiao, Yuting Han, Chaozheng Wang, Boxi Yu, Pinjia He, Shuai Wang, Zibin Zheng, Michael R. Lyu, Shing-Chi Cheung
2025 — conf
Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs.
ACL (1)
Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, Jen-tse Huang, Qiuzhi Liu, Pinjia He, Zhaopeng Tu
2025 — conf
Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence.
CHI Extended Abstracts
Sihang Zhao, Shoucong Carol Xiong, Bo Pang, Xiaoying Tang, Pinjia He
2025 J jnl
Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence.
CoRR
Sihang Zhao, Shoucong Carol Xiong, Bo Pang, Xiaoying Tang, Pinjia He
2025 J jnl
On the Feasibility of Hijacking MLLMs' Decision Chain via One Perturbation.
CoRR
Changyue Li, Jiaying Li, Youliang Yuan, Jiaming He, Zhicong Huang, Pinjia He
2025 J jnl
On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations.
IEEE Trans. Software Eng.
Xiaoxue Ma, Huiqi Zou, Pinjia He, Jacky Keung, Yishu Li, Xiao Yu, Federica Sarro
2025 A* conf
OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
ICLR
Junjielong Xu, Qinan Zhang, Zhiqing Zhong, Shilin He, Chaoyun Zhang, Qingwei Lin, Dan Pei, Pinjia He, Dongmei Zhang, Qi Zhang
2025 — conf
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training.
ACL (1)
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Jiahao Xu, Tian Liang, Pinjia He, Zhaopeng Tu
2025 J jnl
SWE-Effi: Re-Evaluating Software AI Agent System Effectiveness Under Resource Constraints.
CoRR
Zhiyu Fan, Kirill Vasilevski, Dayi Lin, Boyuan Chen, Yihao Chen, Zhiqing Zhong, Jie M. Zhang, Pinjia He, Ahmed E. Hassan
2025 J jnl
Scalable Supervising Software Agents with Patch Reasoner.
CoRR
Junjielong Xu, Boyin Tan, Xiaoyuan Liu, Chao Peng, Pengfei Gao, Pinjia He
2025 J jnl
Semantic Structure Invariance-Based Metamorphic Testing for Machine Translation Systems.
IEEE Trans. Reliab.
Chang-Ai Sun, Jian Mu, Mingjun Xiao, Huai Liu, Pinjia He
2025 A* conf
ToolSafety: A Comprehensive Dataset for Enhancing Safety in LLM-Based Agent Tool Invocations.
EMNLP
Yuejin Xie, Youliang Yuan, Wenxuan Wang, Fan Mo, Jianmin Guo, Pinjia He
2025 J jnl
Towards Evaluating Proactive Risk Awareness of Multimodal Language Models.
CoRR
Youliang Yuan, Wenxiang Jiao, Yuejin Xie, Chihao Shen, Menghan Tian, Wenxuan Wang, Jen-tse Huang, Pinjia He
2025 J jnl
Towards Understanding Performance Bugs in Popular Data Science Libraries.
Proc. ACM Softw. Eng.
Haowen Yang, Zhengda Li, Zhiqing Zhong, Xiaoying Tang, Pinjia He
2025 A* conf
Triangle: Empowering Incident Triage with Multi-Agent.
ASE
Zhaoyang Yu, Aoyang Fang, Minghua Ma, Jaskaran Singh Walia, Chaoyun Zhang, Shu Chi, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Shenglin Zhang, Dan Pei, Pinjia He
2025 J jnl
Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards.
CoRR
Xiaoyuan Liu, Tian Liang, Zhiwei He, Jiahao Xu, Wenxuan Wang, Pinjia He, Zhaopeng Tu, Haitao Mi, Dong Yu
2025 — conf
UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench.
ACL (1)
Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang
2025 J jnl
UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench.
CoRR
Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang
2025 J jnl
UniSage: A Unified and Post-Analysis-Aware Sampling for Microservices.
CoRR
Zhouruixing Zhu, Zhihan Jiang, Tianyi Yang, Pinjia He
2025 J jnl
VisFactor: Benchmarking Fundamental Visual Cognition in Multimodal Large Language Models.
CoRR
Jen-tse Huang, Dasen Dai, Jen-Yuan Huang, Youliang Yuan, Xiaoyuan Liu, Wenxuan Wang, Wenxiang Jiao, Pinjia He, Zhaopeng Tu
2024 J jnl
A & B == B & A: Triggering Logical Reasoning Failures in Large Language Models.
CoRR
Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu
2024 J jnl
A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering.
IEEE Trans. Ind. Informatics
Xiaoxue Ma, Jacky Keung, Pinjia He, Yan Xiao, Xiao Yu, Yishu Li
2024 J jnl
Aligning LLMs for FL-free Program Repair.
CoRR
Junjielong Xu, Ying Fu, Shin Hwei Tan, Pinjia He
2024 J jnl
An Empirical Study on Package-Level Deprecation in Python Ecosystem.
CoRR
Zhiqing Zhong, Shilin He, Haoxuan Wang, Boxi Yu, Haowen Yang, Pinjia He
2024 A* conf
An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles.
ICSE
Dinghua Wang, Shuqing Li, Guanping Xiao, Yepang Liu, Yulei Sui, Pinjia He, Michael R. Lyu
2024 A* conf
Deep Learning or Classical Machine Learning? An Empirical Study on Log-Based Anomaly Detection.
ICSE
Boxi Yu, Jiayi Yao, Qiuai Fu, Zhiqing Zhong, Haotian Xie, Yaoliang Wu, Yuchi Ma, Pinjia He
2024 — conf
Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs.
EMNLP (Findings)
Sihang Zhao, Youliang Yuan, Xiaoying Tang, Pinjia He
2024 J jnl
Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs.
CoRR
Sihang Zhao, Youliang Yuan, Xiaoying Tang, Pinjia He
2024 A* conf
DivLog: Log Parsing with Prompt Enhanced In-Context Learning.
ICSE
Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He
2024 — conf
Does ChatGPT Know That It Does Not Know? Evaluating the Black-Box Calibration of ChatGPT.
LREC/COLING
Youliang Yuan, Wenxuan Wang, Qingshuo Guo, Yiming Xiong, Chihao Shen, Pinjia He
2024 J jnl
End-to-end log statement generation at block-level.
J. Syst. Softw.
Ying Fu, Meng Yan, Pinjia He, Chao Liu, Xiaohong Zhang, Dan Yang
2024 J jnl
Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study.
IEEE Trans. Software Eng.
Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Lionel C. Briand, Michael R. Lyu
2024 A* conf
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher.
ICLR
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu
2024 J jnl
Go Static: Contextualized Logging Statement Generation.
CoRR
Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu
2024 J jnl
Go Static: Contextualized Logging Statement Generation.
Proc. ACM Softw. Eng.
Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R. Lyu
2024 J jnl
HeMiRCA: Fine-Grained Root Cause Analysis for Microservices with Heterogeneous Data Sources.
ACM Trans. Softw. Eng. Methodol.
Zhouruixing Zhu, Cheryl Lee, Xiaoying Tang, Pinjia He
2024 J jnl
Insight Over Sight? Exploring the Vision-Knowledge Conflicts in Multimodal LLMs.
CoRR
Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, Jen-tse Huang, Qiuzhi Liu, Pinjia He, Zhaopeng Tu
2024 J jnl
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache.
Proc. ACM Softw. Eng.
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu
2024 J jnl
LogPTR: Variable-Aware Log Parsing with Pointer Network.
CoRR
Yifan Wu, Bingxu Chai, Siyu Yu, Ying Li, Pinjia He, Wei Jiang, Jianguo Li
2024 A* conf
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models.
EMNLP
Yuxuan Wan, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael R. Lyu
2024 A* conf
MRCA: Metric-level Root Cause Analysis for Microservices via Multi-Modal Data.
ASE
Yidan Wang, Zhouruixing Zhu, Qiuai Fu, Yuchi Ma, Pinjia He
2024 J jnl
On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations.
CoRR
Xiaoxue Ma, Huiqi Zou, Jacky Keung, Pinjia He, Yishu Li, Xiao Yu, Federica Sarro
2024 J jnl
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training.
CoRR
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Jiahao Xu, Tian Liang, Pinjia He, Zhaopeng Tu
2024 A* conf
SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions.
ICDE
Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu
2024 J jnl
SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions.
CoRR
Cheryl Lee, Zhouruixin Zhu, Tianyi Yang, Yintong Huo, Yuxin Su, Pinjia He, Michael R. Lyu
2024 A* conf
Testing Graph Database Systems via Equivalent Query Rewriting.
ICSE
Qiuyang Mang, Aoyang Fang, Boxi Yu, Hanfei Chen, Pinjia He
2024 A* conf
UniLog: Automatic Logging via LLM and In-Context Learning.
ICSE
Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
2024 A* conf
Unlocking the Power of Numbers: Log Compression via Numeric Token Parsing.
ASE
Siyu Yu, Yifan Wu, Ying Li, Pinjia He
2024 J jnl
Unlocking the Power of Numbers: Log Compression via Numeric Token Parsing.
CoRR
Siyu Yu, Yifan Wu, Ying Li, Pinjia He
2023 A* conf
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software.
ASE
Wenxuan Wang, Jingyuan Huang, Jen-tse Huang, Chang Chen, Jiazhen Gu, Pinjia He, Michael R. Lyu
2023 J jnl
An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software.
CoRR
Wenxuan Wang, Jingyuan Huang, Jen-tse Huang, Chang Chen, Jiazhen Gu, Pinjia He, Michael R. Lyu
2023 A* conf
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection.
ASE
Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu
2023 J jnl
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection.
CoRR
Yintong Huo, Yichen Li, Yuxin Su, Pinjia He, Zifan Xie, Michael R. Lyu
2023 — conf
Automated Testing and Improvement of Named Entity Recognition Systems.
ESEC/SIGSOFT FSE
Boxi Yu, Yiyan Hu, Qiuyang Mang, Wenhan Hu, Pinjia He
2023 J jnl
Automated Testing and Improvement of Named Entity Recognition Systems.
CoRR
Boxi Yu, Yiyan Hu, Qiuyang Mang, Wenhan Hu, Pinjia He
2023 — conf
BiasAsker: Measuring the Bias in Conversational AI System.
ESEC/SIGSOFT FSE
Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu
2023 J jnl
BiasAsker: Measuring the Bias in Conversational AI System.
CoRR
Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, Michael R. Lyu
2023 J jnl
Brain: Log Parsing With Bidirectional Parallel Tree.
IEEE Trans. Serv. Comput.
Siyu Yu, Pinjia He, Ningjiang Chen, Yifan Wu
2023 J jnl
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study.
CoRR
Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Michael R. Lyu
2023 J jnl
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher.
CoRR
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu
2023 — conf
Hue: A User-Adaptive Parser for Hybrid Logs.
ESEC/SIGSOFT FSE
Junjielong Xu, Qiuai Fu, Zhouruixing Zhu, Yutong Cheng, Zhijing Li, Yuchi Ma, Pinjia He
2023 J jnl
Hue: A User-Adaptive Parser for Hybrid Logs.
CoRR
Junjielong Xu, Qiuai Fu, Zhouruixing Zhu, Yutong Cheng, Zhijing Li, Yuchi Ma, Pinjia He
2023 A* conf
Incident-aware Duplicate Ticket Aggregation for Cloud Systems.
ICSE
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
2023 J jnl
Incident-aware Duplicate Ticket Aggregation for Cloud Systems.
CoRR
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
2023 J jnl
LLMParser: A LLM-based Log Parsing Framework.
CoRR
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R. Lyu
2023 — conf
Log Parsing with Generalization Ability under New Log Types.
ESEC/SIGSOFT FSE
Siyu Yu, Yifan Wu, Zhijing Li, Pinjia He, Ningjiang Chen, Changjian Liu
2023 A conf
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics.
ISSRE
Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu
2023 A* conf
MTTM: Metamorphic Testing for Textual Content Moderation Software.
ICSE
Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu
2023 J jnl
MTTM: Metamorphic Testing for Textual Content Moderation Software.
CoRR
Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu
2023 J jnl
Prompting for Automatic Log Template Extraction.
CoRR
Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He
2023 A conf
ROME: Testing Image Captioning Systems via Recursive Object Melting.
ISSTA
Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He
2023 J jnl
ROME: Testing Image Captioning Systems via Recursive Object Melting.
CoRR
Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He
2023 A* conf
RPCover: Recovering gRPC Dependency in Multilingual Projects.
ASE
Aoyang Fang, Ruiyu Zhou, Xiaoying Tang, Pinjia He
2023 J jnl
Retromorphic Testing: A New Approach to the Test Oracle Problem.
CoRR
Boxi Yu, Qiuyang Mang, Qingshuo Guo, Pinjia He
2023 A conf
Validating Multimedia Content Moderation Software via Semantic Fusion.
ISSTA
Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu
2023 J jnl
Validating Multimedia Content Moderation Software via Semantic Fusion.
CoRR
Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu
2022 J jnl
A Survey on Automated Log Analysis for Reliability Engineering.
ACM Comput. Surv.
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu
2022 J jnl
AEON: A Method for Automatic Evaluation of NLP Test Cases.
CoRR
Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu
2022 A conf
AEON: a method for automatic evaluation of NLP test cases.
ISSTA
Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu
2022 — conf
An empirical study of log analysis at Microsoft.
ESEC/SIGSOFT FSE
Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin
2022 J jnl
Automated Testing of Image Captioning Systems.
CoRR
Boxi Yu, Zhiqing Zhong, Xinran Qin, Jiayi Yao, Yuancheng Wang, Pinjia He
2022 A conf
Automated testing of image captioning systems.
ISSTA
Boxi Yu, Zhiqing Zhong, Xinran Qin, Jiayi Yao, Yuancheng Wang, Pinjia He
2021 A* conf
SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs.
OSDI
Jiang Zhang, Shuai Wang, Manuel Rigger, Pinjia He, Zhendong Su
2021 A* conf
Testing Machine Translation via Referential Transparency.
ICSE
Pinjia He, Clara Meister, Zhendong Su
2020 J jnl
A Survey on Automated Log Analysis for Reliability Engineering.
CoRR
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, Michael R. Lyu
2020 J jnl
ACM SIGSOFT Empirical Standards.
CoRR
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
2020 J jnl
Hierarchical bucket tree: an efficient account structure for blockchain-based system.
Int. J. Embed. Syst.
Weili Chen, Zibin Zheng, Mingjie Ma, Pinjia He, Yuren Zhou, Jing Bian
2020 J jnl
Loghub: A Large Collection of System Log Datasets towards Automated Log Analytics.
CoRR
Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu
2020 — conf
Machine translation testing via pathological invariance.
ESEC/SIGSOFT FSE
Shashij Gupta, Pinjia He, Clara Meister, Zhendong Su
2020 A* conf
Structure-invariant testing for machine translation.
ICSE
Pinjia He, Clara Meister, Zhendong Su
2020 J jnl
Testing Machine Translation via Referential Transparency.
CoRR
Pinjia He, Clara Meister, Zhendong Su
2019 — conf
Detecting Failures of Neural Machine Translation in the Absence of Reference Translations.
DSN (Industry Track)
Wenyu Wang, Wujie Zheng, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, Tao Xie
2019 A* conf
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression.
ASE
Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu
2019 J jnl
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression.
CoRR
Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu
2019 J jnl
Structure-Invariant Testing for Machine Translation.
CoRR
Pinjia He, Clara Meister, Zhendong Su
2019 — conf
Testing untestable neural machine translation: an industrial case.
ICSE (Companion Volume)
Wujie Zheng, Wenyu Wang, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, Tao Xie
2019 — conf
Tools and benchmarks for automated log parsing.
ICSE (SEIP)
Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu
2018 J jnl
A Directed Acyclic Graph Approach to Online Log Parsing.
CoRR
Pinjia He, Jieming Zhu, Pengcheng Xu, Zibin Zheng, Michael R. Lyu
2018 A* conf
Characterizing the natural language descriptions in software logging statements.
ASE
Pinjia He, Zhuangbin Chen, Shilin He, Michael R. Lyu
2018 — conf
Efficient blockchain-based software systems via hierarchical bucket tree.
ICSE (Companion Volume)
Weili Chen, Zibin Zheng, Mingjie Ma, Pinjia He, Peilin Zheng, Yuren Zhou
2018 J jnl
Tools and Benchmarks for Automated Log Parsing.
CoRR
Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu
2018 J jnl
Towards Automated Log Parsing for Large-Scale Log Data Analysis.
IEEE Trans. Dependable Secur. Comput.
Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu
2017 B conf
An End-To-End Log Management Framework for Distributed Systems.
SRDS
Pinjia He
2017 A conf
CARP: Context-Aware Reliability Prediction of Black-Box Web Services.
ICWS
Jieming Zhu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu
2017 A conf
Drain: An Online Log Parsing Approach with Fixed Depth Tree.
ICWS
Pinjia He, Jieming Zhu, Zibin Zheng, Michael R. Lyu
2017 J jnl
Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization.
IEEE Trans. Parallel Distributed Syst.
Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu
2017 J jnl
Semantically Consistent Image Completion with Fine-grained Details.
CoRR
Pengpeng Liu, Xiaojuan Qi, Pinjia He, Yikang Li, Michael R. Lyu, Irwin King
2017 C conf
Software Defect Prediction via Convolutional Neural Network.
QRS
Jian Li, Pinjia He, Jieming Zhu, Michael R. Lyu
2016 A conf
An Evaluation Study on Log Parsing and Its Use in Log Mining.
DSN
Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu
2016 A conf
Experience Report: System Log Analysis for Anomaly Detection.
ISSRE
Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu
2015 A conf
A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation.
ICWS
Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu
2015 J jnl
A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation.
CoRR
Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu
2015 — conf
Learning to Log: Helping Developers Make Informed Logging Decisions.
ICSE (1)
Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang
2015 A conf
PAID: Prioritizing app issues for developers by tracking user reviews over versions.
ISSRE
Cuiyun Gao, Baoxiang Wang, Pinjia He, Jieming Zhu, Yangfan Zhou, Michael R. Lyu
2014 — conf
A Hierarchical Matrix Factorization Approach for Location-Based Web Service QoS Prediction.
SOSE
Pinjia He, Jieming Zhu, Jianlong Xu, Michael R. Lyu
2014 B conf
Exploiting homophily-based implicit social network to improve recommendation performance.
IJCNN
Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King
2014 A conf
Location-Based Hierarchical Matrix Factorization for Web Service Recommendation.
ICWS
Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, Michael R. Lyu
2014 A conf
Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation.
ICDCS
Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu