Jiazhen Gu

According to our database, Jiazhen Gu authored at least 35 papers between 2016 and 2024.

Collaborative distances:

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

2024

A Memory-Disaggregated Radix Tree.

Xuchuan Luo, Pengfei Zuo, Jiacheng Shen, Jiazhen Gu, Xin Wang, Michael Rung-Tsong Lyu, Yangfan Zhou

ACM Trans. Storage, August, 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

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps.

Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, 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

Contextualized Data-Wrangling Code Generation in Computational Notebooks.

Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu

CoRR, 2024

Combating Missed Recalls in E-commerce Search: A CoT-Prompting Testing Approach.

Shengnan Wu, Yongxiang Hu, Yingchuan Wang, Jiazhen Gu, Jin Meng, Liujie Fan, Zhongshi Luan, Xin Wang, Yangfan Zhou

CoRR, 2024

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps.

Shuqing Li, Cuiyun Gao, Jianping Zhang, Yujia Zhang, Yepang Liu, Jiazhen Gu, Yun Peng, Michael R. Lyu

CoRR, 2024

Combating Missed Recalls in E-commerce Search: A CoT-Prompting Testing Approach.

Shengnan Wu, Yongxiang Hu, Yingchuan Wang, Jiazhen Gu, Jin Meng, Liujie Fan, Zhongshi Luan, Xin Wang, Yangfan Zhou

Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?

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

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems.

Wenwei Gu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis.

Junjie Huang, Zhihan Jiang, Jinyang Liu, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Hui Dong, Zengyin Yang, Michael R. Lyu

Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach.

Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R. Lyu

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems.

Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

AutoConsis: Automatic GUI-driven Data Inconsistency Detection of Mobile Apps.

Yongxiang Hu, Hailiang Jin, Xuan Wang, Jiazhen Gu, Shiyu Guo, Chaoyi Chen, Xin Wang, Yangfan Zhou

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

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

A Large-scale Benchmark for Log Parsing.

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

CoRR, 2023

Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection.

Wenwei Gu, Jinyang Liu, Zhuangbin Chen, Jianping Zhang, Yuxin Su, Jiazhen Gu, Cong Feng, Zengyin Yang, Michael R. Lyu

CoRR, 2023

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop.

Jinyang Liu, Junjie Huang, Yintong Huo, Zhihan Jiang, Jiazhen Gu, Zhuangbin Chen, Cong Feng, Minzhi Yan, Michael R. Lyu

CoRR, 2023

Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System.

Jiacheng Shen, Pengfei Zuo, Xuchuan Luo, Yuxin Su, Jiazhen Gu, Hao Feng, Yangfan Zhou, Michael R. Lyu

Proceedings of the 29th Symposium on Operating Systems Principles, 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

Appaction: Automatic GUI Interaction for Mobile Apps via Holistic Widget Perception.

Yongxiang Hu, Jiazhen Gu, Shuqing Hu, Yu Zhang, Wenjie Tian, Shiyu Guo, Chaoyi Chen, Yangfan Zhou

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

SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory.

Xuchuan Luo, Pengfei Zuo, Jiacheng Shen, Jiazhen Gu, Xin Wang, Michael R. Lyu, Yangfan Zhou

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 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

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems.

Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R. Lyu

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

Revealing Performance Issues in Server-Side WebAssembly Runtimes Via Differential Testing.

Shuyao Jiang, Ruiying Zeng, Zihao Rao, Jiazhen Gu, Yangfan Zhou, Michael R. Lyu

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

2022

Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing.

Jiazhen Gu, Xuchuan Luo, Yangfan Zhou, Xin Wang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Detecting Deep Neural Network Defects with Data Flow Analysis.

Jiazhen Gu, Huanlin Xu, Haochuan Lu, Yangfan Zhou, Xin Wang

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2021

2020

Efficient customer incident triage via linking with system incidents.

Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang

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

Efficient incident identification from multi-dimensional issue reports via meta-heuristic search.

Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang

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

2019

Detecting Deep Neural Network Defects with Data Flow Analysis.

Jiazhen Gu, Huanlin Xu, Yangfan Zhou, Xin Wang, Hui Xu, Michael R. Lyu

CoRR, 2019

2018

Efficient Scheduling for Multi-Block Updates in Erasure Coding Based Storage Systems.

Jiajie Shen, Kai Zhang, Jiazhen Gu, Yangfan Zhou, Xin Wang

IEEE Trans. Computers, 2018

2017

DeepProf: Performance Analysis for Deep Learning Applications via Mining GPU Execution Patterns.

Jiazhen Gu, Huan Liu, Yangfan Zhou, Xin Wang

CoRR, 2017

2016

Bandwidth-aware delayed repair in distributed storage systems.

Jiajie Shen, Jiazhen Gu, Yangfan Zhou, Xin Wang

Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

Cloud-of-Clouds Storage Made Efficient: A Pipeline-Based Approach.

Jiajie Shen, Jiazhen Gu, Yangfan Zhou, Xin Wang

Proceedings of the IEEE International Conference on Web Services, 2016