Pinjia He
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
17
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning. | Jianbo Yu, Yixuan Li, Hai Xu, Kang Xu, Junjielong Xu, Zhijing Li, Pinjia He, Wanyuan Wang |
| 2026 | ACL | Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards. | Youliang Yuan, Qiuyang Mang, Jingbang Chen, Hong Wan, Xiaoyuan Liu, Junjielong Xu, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Pinjia He |
| 2026 | ACL | SHAPE: Unifying Safety, Helpfulness and Pedagogy for Educational LLMs. | Sihang Zhao, Kangrui Yu, Youliang Yuan, Pinjia He, Hongyi Wen |
| 2025 | ACL | Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs. | Wenxuan Wang, Xiaoyuan Liu, Kuiyi Gao, Jen-tse Huang, Youliang Yuan, Pinjia He, Shuai Wang, Zhaopeng Tu |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench. | Boxi Yu, Yuxuan Zhu, Pinjia He, Daniel Kang |
| 2025 | CHI | Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence. | Sihang Zhao, Shoucong Carol Xiong, Bo Pang, Xiaoying Tang, Pinjia He |
| 2025 | EMNLP | ToolSafety: A Comprehensive Dataset for Enhancing Safety in LLM-Based Agent Tool Invocations. | Yuejin Xie, Youliang Yuan, Wenxuan Wang, Fan Mo, Jianmin Guo, Pinjia He |
| 2025 | ICLR | OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? | Junjielong Xu, Qinan Zhang, Zhiqing Zhong, Shilin He, Chaoyun Zhang, Qingwei Lin, Dan Pei, Pinjia He, Dongmei Zhang, Qi Zhang |
| 2025 | ICSE | Aligning the Objective of LLM-Based Program Repair. | Junjielong Xu, Ying Fu, Shin Hwei Tan, Pinjia He |
| 2025 | ICSE | An Empirical Study on Package-Level Deprecation in Python Ecosystem. | Zhiqing Zhong, Shilin He, Haoxuan Wang, Boxi Yu, Haowen Yang, Pinjia He |
| 2024 | COLING | 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 |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | Difficult Task Yes but Simple Task No: Unveiling the Laziness in Multimodal LLMs. | Sihang Zhao, Youliang Yuan, Xiaoying Tang, Pinjia He |
| 2024 | ICDE | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICSE | Testing Graph Database Systems via Equivalent Query Rewriting. | Qiuyang Mang, Aoyang Fang, Boxi Yu, Hanfei Chen, Pinjia He |
| 2024 | ICSE | 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 |
| 2024 | ICSE | 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 |
| 2024 | ICSE | DivLog: Log Parsing with Prompt Enhanced In-Context Learning. | Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He |
| 2024 | ICSE | 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 |
| 2023 | ICSE | 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 |
| 2023 | ICSE | 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 |
| 2023 | ISSRE | Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. | Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu |
| 2023 | ISSTA | 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 |
| 2023 | ISSTA | ROME: Testing Image Captioning Systems via Recursive Object Melting. | Boxi Yu, Zhiqing Zhong, Jiaqi Li, Yixing Yang, Shilin He, Pinjia He |
| 2022 | ISSTA | AEON: a method for automatic evaluation of NLP test cases. | Jen-tse Huang, Jianping Zhang, Wenxuan Wang, Pinjia He, Yuxin Su, Michael R. Lyu |
| 2022 | ISSTA | Automated testing of image captioning systems. | Boxi Yu, Zhiqing Zhong, Xinran Qin, Jiayi Yao, Yuancheng Wang, Pinjia He |
| 2021 | ICSE | Testing Machine Translation via Referential Transparency. | Pinjia He, Clara Meister, Zhendong Su |
| 2021 | OSDI | SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs. | Jiang Zhang, Shuai Wang, Manuel Rigger, Pinjia He, Zhendong Su |
| 2020 | ICSE | Structure-invariant testing for machine translation. | Pinjia He, Clara Meister, Zhendong Su |
| 2019 | DSN | 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 |
| 2019 | ICSE | 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 |
| 2019 | ICSE | Tools and benchmarks for automated log parsing. | Jieming Zhu, Shilin He, Jinyang Liu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu |
| 2018 | ICSE | Efficient blockchain-based software systems via hierarchical bucket tree. | Weili Chen, Zibin Zheng, Mingjie Ma, Pinjia He, Peilin Zheng, Yuren Zhou |
| 2017 | ICWS | Drain: An Online Log Parsing Approach with Fixed Depth Tree. | Pinjia He, Jieming Zhu, Zibin Zheng, Michael R. Lyu |
| 2017 | ICWS | CARP: Context-Aware Reliability Prediction of Black-Box Web Services. | Jieming Zhu, Pinjia He, Qi Xie, Zibin Zheng, Michael R. Lyu |
| 2017 | QRS | Software Defect Prediction via Convolutional Neural Network. | Jian Li, Pinjia He, Jieming Zhu, Michael R. Lyu |
| 2017 | SRDS | An End-To-End Log Management Framework for Distributed Systems. | Pinjia He |
| 2016 | DSN | An Evaluation Study on Log Parsing and Its Use in Log Mining. | Pinjia He, Jieming Zhu, Shilin He, Jian Li, Michael R. Lyu |
| 2016 | ISSRE | Experience Report: System Log Analysis for Anomaly Detection. | Shilin He, Jieming Zhu, Pinjia He, Michael R. Lyu |
| 2015 | ICSE | Learning to Log: Helping Developers Make Informed Logging Decisions. | Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang |
| 2015 | ICWS | A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation. | Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu |
| 2015 | ISSRE | 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 |
| 2014 | ICDCS | Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation. | Jieming Zhu, Pinjia He, Zibin Zheng, Michael R. Lyu |
| 2014 | IJCNN | Exploiting homophily-based implicit social network to improve recommendation performance. | Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King |
| 2014 | ICWS | Location-Based Hierarchical Matrix Factorization for Web Service Recommendation. | Pinjia He, Jieming Zhu, Zibin Zheng, Jianlong Xu, Michael R. Lyu |