Cloud-of-Clouds Storage Made Efficient: A Pipeline-Based Approach. - Jiajie Shen; Jiazhen Gu; Yangfan Zhou; Xin Wang 003 (ICWS, 2016)

Bandwidth-aware delayed repair in distributed storage systems. - Jiajie Shen; Jiazhen Gu; Yangfan Zhou; Xin Wang 003 (IWQoS, 2016)

DeepProf: Performance Analysis for Deep Learning Applications via Mining GPU Execution Patterns. - Jiazhen Gu; Huan Liu; Yangfan Zhou; Xin Wang 002 (CoRR, 2017)

Efficient Scheduling for Multi-Block Updates in Erasure Coding Based Storage Systems. - Jiajie Shen; Kai Zhang; Jiazhen Gu; Yangfan Zhou; Xin Wang 002 (IEEE Trans. Computers, 2018)

Detecting Deep Neural Network Defects with Data Flow Analysis. - Jiazhen Gu; Huanlin Xu; Yangfan Zhou; Xin Wang 002; Hui Xu 009; Michael R. Lyu (CoRR, 2019)

Efficient incident identification from multi-dimensional issue reports via meta-heuristic search. - Jiazhen Gu; Chuan Luo 002; Si Qin; Bo Qiao 001; Qingwei Lin; Hongyu Zhang 002; Ze Li 005; Yingnong Dang; Shaowei Cai 001; Wei Wu 011; Yangfan Zhou; Murali Chintalapati; et al. (ESEC/SIGSOFT FSE, 2020)

Efficient customer incident triage via linking with system incidents. - Jiazhen Gu; Jiaqi Wen; Zijian Wang; Pu Zhao 004; Chuan Luo 002; Yu Kang 006; Yangfan Zhou; Li Yang; Jeffrey Sun; Zhangwei Xu; Bo Qiao 001; Liqun Li; et al. (ESEC/SIGSOFT FSE, 2020)

Detecting Deep Neural Network Defects with Data Flow Analysis. - Jiazhen Gu; Huanlin Xu; Haochuan Lu; Yangfan Zhou; Xin Wang 002 (DSN Workshops, 2021)

Muffin: Testing Deep Learning Libraries via Neural Architecture Fuzzing. - Jiazhen Gu; Xuchuan Luo; Yangfan Zhou; Xin Wang 002 (ICSE, 2022)

Validating Multimedia Content Moderation Software via Semantic Fusion. - Wenxuan Wang 001; Jingyuan Huang; Chang Chen; Jiazhen Gu; Jianping Zhang 002; Weibin Wu 002; Pinjia He; Michael R. Lyu (ISSTA, 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 (ASE, 2023)

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems. - Jinyang Liu 002; Zhihan Jiang; Jiazhen Gu; Junjie Huang 008; Zhuangbin Chen; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (ASE, 2023)

An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software. - Wenxuan Wang 001; Jingyuan Huang; Jen-tse Huang 001; Chang Chen; Jiazhen Gu; Pinjia He; Michael R. Lyu (ASE, 2023)

SMART: A High-Performance Adaptive Radix Tree for Disaggregated Memory. - Xuchuan Luo; Pengfei Zuo; Jiacheng Shen; Jiazhen Gu; Xin Wang 002; Michael R. Lyu; Yangfan Zhou (OSDI, 2023)

Appaction: Automatic GUI Interaction for Mobile Apps via Holistic Widget Perception. - Yongxiang Hu; Jiazhen Gu; Shuqing Hu; Yu Zhang 165; Wenjie Tian; Shiyu Guo; Chaoyi Chen; Yangfan Zhou (ESEC/SIGSOFT FSE, 2023)

BiasAsker: Measuring the Bias in Conversational AI System. - Yuxuan Wan; Wenxuan Wang 001; Pinjia He; Jiazhen Gu; Haonan Bai; Michael R. Lyu (ESEC/SIGSOFT FSE, 2023)

Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System. - Jiacheng Shen; Pengfei Zuo; Xuchuan Luo; Yuxin Su 001; Jiazhen Gu; Hao Feng; Yangfan Zhou; Michael R. Lyu (SOSP, 2023)

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop. - Jinyang Liu 002; Junjie Huang 008; Yintong Huo; Zhihan Jiang; Jiazhen Gu; Zhuangbin Chen; Cong Feng; Minzhi Yan; Michael R. Lyu (CoRR, 2023)

Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection. - Wenwei Gu; Jinyang Liu 002; Zhuangbin Chen; Jianping Zhang 002; Yuxin Su 001; Jiazhen Gu; Cong Feng; Zengyin Yang; Michael R. Lyu (CoRR, 2023)

A Large-scale Benchmark for Log Parsing. - Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Yichen Li 003; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Jieming Zhu; Michael R. Lyu (CoRR, 2023)

LLMParser: A LLM-based Log Parsing Framework. - Zhihan Jiang; Jinyang Liu 002; Zhuangbin Chen; Yichen Li 003; Junjie Huang 008; Yintong Huo; Pinjia He; Jiazhen Gu; Michael R. Lyu (CoRR, 2023)

AutoConsis: Automatic GUI-driven Data Inconsistency Detection of Mobile Apps. - Yongxiang Hu; Hailiang Jin; Xuan Wang; Jiazhen Gu; Shiyu Guo; Chaoyi Chen; Xin Wang 002; Yangfan Zhou (ICSE-SEIP, 2024)

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems. - Junjie Huang 008; Jinyang Liu 002; Zhuangbin Chen; Zhihan Jiang; Yichen Li 003; Jiazhen Gu; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (ICSE-SEIP, 2024)

Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach. - Jinxi Kuang; Jinyang Liu 002; Junjie Huang 008; Renyi Zhong; Jiazhen Gu; Lan Yu; Rui Tan 006; Zengyin Yang; Michael R. Lyu (ICSE-SEIP, 2024)

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis. - Junjie Huang 008; Zhihan Jiang; Jinyang Liu 002; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Cong Feng; Hui Dong; Zengyin Yang; Michael R. Lyu (ISSRE, 2024)

KPIRoot: Efficient Monitoring Metric-based Root Cause Localization in Large-scale Cloud Systems. - Wenwei Gu; Xinying Sun; Jinyang Liu 002; Yintong Huo; Zhuangbin Chen; Jianping Zhang 002; Jiazhen Gu; Yongqiang Yang; Michael R. Lyu (ISSRE, 2024)

A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? - Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Yichen Li 003; Yintong Huo; Jiazhen Gu; Zhuangbin Chen; Jieming Zhu; Michael R. Lyu (ISSTA, 2024)

Contextualized Data-Wrangling Code Generation in Computational Notebooks. - Junjie Huang 008; Daya Guo; Chenglong Wang; Jiazhen Gu; Shuai Lu; Jeevana Priya Inala; Cong Yan; Jianfeng Gao 001; Nan Duan; Michael R. Lyu (ASE, 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 002; Yangfan Zhou (SIGSOFT FSE Companion, 2024)

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in VR Apps. - Shuqing Li 001; Cuiyun Gao 001; Jianping Zhang 002; Yujia Zhang; Yepang Liu 001; Jiazhen Gu; Yun Peng 003; 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)

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache. - Zhihan Jiang; Jinyang Liu 002; Zhuangbin Chen; Yichen Li 003; Junjie Huang 008; Yintong Huo; Pinjia He; Jiazhen Gu; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

Less Cybersickness, Please: Demystifying and Detecting Stereoscopic Visual Inconsistencies in Virtual Reality Apps. - Shuqing Li 001; Cuiyun Gao 001; Jianping Zhang 002; Yujia Zhang; Yepang Liu 001; Jiazhen Gu; Yun Peng 003; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

Go Static: Contextualized Logging Statement Generation. - Yichen Li 003; Yintong Huo; Renyi Zhong; Zhihan Jiang; Jinyang Liu 002; Junjie Huang 008; Jiazhen Gu; Pinjia He; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

A Memory-Disaggregated Radix Tree. - Xuchuan Luo; Pengfei Zuo; Jiacheng Shen; Jiazhen Gu; Xin Wang 002; Michael Rung-Tsong Lyu; Yangfan Zhou (ACM Trans. Storage, 2024)

Cordial: Cross-row Failure Prediction Method Based on Bank-level Error Locality for HBMs. - Wenwei Gu; Jiazhen Gu; Renyi Zhong; Wenyu Zhang; Ming Li; Michael R. Lyu (DSN-S, 2025)

Testing False Recalls in E-Commerce Apps: a User-Perspective Blackbox Approach. - Shengnan Wu; Yongxiang Hu; Jiazhen Gu; Penglei Mao; Jin Meng; Liujie Fan; Zhongshi Luan; Xin Wang 002; Yangfan Zhou (SEIP@ICSE, 2025)

ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems. - Wenwei Gu; Jiazhen Gu; Jinyang Liu 002; Zhuangbin Chen; Jianping Zhang 002; Jinxi Kuang; Cong Feng; Yongqiang Yang; Michael R. Lyu (ICSE, 2025)

Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features. - Wenwei Gu; Jinyang Liu 002; Zhuangbin Chen; Jianping Zhang 002; Yuxin Su 001; Jiazhen Gu; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (ACM Trans. Softw. Eng. Methodol., 2025)

Hierarchical Prediction-based Management for LMaaS Systems. - Zhihan Jiang; Yujie Huang; Guangba Yu; Junjie Huang 008; Jiazhen Gu; Michael R. Lyu (CoRR, 2025)

KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems. - Wenwei Gu; Renyi Zhong; Guangba Yu; Xinying Sun; Jinyang Liu 002; Yintong Huo; Zhuangbin Chen; Jianping Zhang 002; Jiazhen Gu; Yongqiang Yang; Michael R. Lyu (CoRR, 2025)

Can User Feedback Help Issue Detection? An Empirical Study on a One-billion-user Online Service System. - Shuyao Jiang; Jiazhen Gu; Wujie Zheng; Yangfan Zhou; Michael R. Lyu (CoRR, 2025)