Microscaler: Automatic Scaling for Microservices with an Online Learning Approach. - Guangba Yu; Pengfei Chen 002; Zibin Zheng (ICWS, 2019)

A Learning-based Dynamic Load Balancing Approach for Microservice Systems in Multi-cloud Environment. - Jieqi Cui; Pengfei Chen 002; Guangba Yu (ICPADS, 2020)

SwissLog: Robust and Unified Deep Learning Based Log Anomaly Detection for Diverse Faults. - Xiaoyun Li; Pengfei Chen 002; Linxiao Jing; Zilong He; Guangba Yu (ISSRE, 2020)

A Framework of Virtual War Room and Matrix Sketch-Based Streaming Anomaly Detection for Microservice Systems. - Hongyang Chen; Pengfei Chen 002; Guangba Yu (IEEE Access, 2020)

T-Rank: A Lightweight Spectrum based Fault Localization Approach for Microservice Systems. - Zihao Ye; Pengfei Chen 002; Guangba Yu (CCGRID, 2021)

Sieve: Attention-based Sampling of End-to-End Trace Data in Distributed Microservice Systems. - Zicheng Huang; Pengfei Chen 002; Guangba Yu; Hongyang Chen; Zibin Zheng (ICWS, 2021)

MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments. - Guangba Yu; Pengfei Chen 002; Hongyang Chen; Zijie Guan; Zicheng Huang; Linxiao Jing; Tianjun Weng; Xinmeng Sun; Xiaoyun Li (WWW, 2021)

MicroSketch: Lightweight and Adaptive Sketch Based Performance Issue Detection and Localization in Microservice Systems. - Yufeng Li; Guangba Yu; Pengfei Chen 002; Chuanfu Zhang; Zibin Zheng (ICSOC, 2022)

TS-InvarNet: Anomaly Detection and Localization based on Tempo-spatial KPI Invariants in Distributed Services. - Zijun Hu; Pengfei Chen 002; Guangba Yu; Zilong He; Xiaoyun Li (ICWS, 2022)

Going through the Life Cycle of Faults in Clouds: Guidelines on Fault Handling. - Xiaoyun Li; Guangba Yu; Pengfei Chen 002; Hongyang Chen; Zhekang Chen (ISSRE, 2022)

Graph based Incident Extraction and Diagnosis in Large-Scale Online Systems. - Zilong He; Pengfei Chen 002; Yu Luo; Qiuyu Yan; Hongyang Chen; Guangba Yu; Fangyuan Li (ASE, 2022)

Microscaler: Cost-Effective Scaling for Microservice Applications in the Cloud With an Online Learning Approach. - Guangba Yu; Pengfei Chen 002; Zibin Zheng (IEEE Trans. Cloud Comput., 2022)

MARS: Fault Localization in Programmable Networking Systems with Low-cost In-Band Network Telemetry. - Benran Wang; Hongyang Chen; Pengfei Chen 002; Zilong He; Guangba Yu (ICPP, 2023)

DeepPower: Deep Reinforcement Learning based Power Management for Latency Critical Applications in Multi-core Systems. - Jingrun Zhang; Guangba Yu; Zilong He; Liang Ai; Pengfei Chen 002 (ICPP, 2023)

LogReducer: Identify and Reduce Log Hotspots in Kernel on the Fly. - Guangba Yu; Pengfei Chen 002; Pairui Li; Tianjun Weng; Haibing Zheng; Yuetang Deng; Zibin Zheng (ICSE, 2023)

DiagConfig: Configuration Diagnosis of Performance Violations in Configurable Software Systems. - Zhiming Chen; Pengfei Chen 002; Peipei Wang; Guangba Yu; Zilong He; Genting Mai (ESEC/SIGSOFT FSE, 2023)

Nezha: Interpretable Fine-Grained Root Causes Analysis for Microservices on Multi-modal Observability Data. - Guangba Yu; Pengfei Chen 002; Yufeng Li; Hongyang Chen; Xiaoyun Li; Zibin Zheng (ESEC/SIGSOFT FSE, 2023)

SwissLog: Robust Anomaly Detection and Localization for Interleaved Unstructured Logs. - Xiaoyun Li; Pengfei Chen 002; Linxiao Jing; Zilong He; Guangba Yu (IEEE Trans. Dependable Secur. Comput., 2023)

FaaSDeliver: Cost-Efficient and QoS-Aware Function Delivery in Computing Continuum. - Guangba Yu; Pengfei Chen 002; Zibin Zheng; Jingrun Zhang; Xiaoyun Li; Zilong He (IEEE Trans. Serv. Comput., 2023)

A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems. - Zilong He; Pengfei Chen 002; Xiaoyun Li; Yongfeng Wang; Guangba Yu; Cailin Chen; Xinrui Li; Zibin Zheng (IEEE Trans. Neural Networks Learn. Syst., 2023)

TraceRank: Abnormal service localization with dis-aggregated end-to-end tracing data in cloud native systems. - Guangba Yu; Zicheng Huang; Pengfei Chen 002 (J. Softw. Evol. Process., 2023)

CTuner: Automatic NoSQL Database Tuning with Causal Reinforcement Learning. - Genting Mai; Zilong He; Guangba Yu; Zhiming Chen; Pengfei Chen 002 (Internetware, 2024)

FaaSRCA: Full Lifecycle Root Cause Analysis for Serverless Applications. - Jin Huang; Pengfei Chen 002; Guangba Yu; Yilun Wang; Haiyu Huang 002; Zilong He (ISSRE, 2024)

FaaSConf: QoS-aware Hybrid Resources Configuration for Serverless Workflows. - Yilun Wang; Pengfei Chen 002; Hui Dou; Yiwen Zhang 001; Guangba Yu; Zilong He; Haiyu Huang 002 (ASE, 2024)

A Survey on Failure Analysis and Fault Injection in AI Systems. - Guangba Yu; Gou Tan; Haojia Huang; Zhenyu Zhang; Pengfei Chen 002; Roberto Natella; Zibin Zheng (CoRR, 2024)

TraStrainer: Adaptive Sampling for Distributed Traces with System Runtime State. - Haiyu Huang 002; Xiaoyu Zhang; Pengfei Chen 002; Zilong He; Zhiming Chen; Guangba Yu; Hongyang Chen; Chen Sun 005 (Proc. ACM Softw. Eng., 2024)

ChangeRCA: Finding Root Causes from Software Changes in Large Online Systems. - Guangba Yu; Pengfei Chen 002; Zilong He; Qiuyu Yan; Yu Luo; Fangyuan Li; Zibin Zheng (Proc. ACM Softw. Eng., 2024)

MicroFI: Non-Intrusive and Prioritized Request-Level Fault Injection for Microservice Applications. - Hongyang Chen; Pengfei Chen 002; Guangba Yu; Xiaoyun Li; Zilong He (IEEE Trans. Dependable Secur. Comput., 2024)

Network shortcut in data plane of service mesh with eBPF. - Wanqi Yang; Pengfei Chen 002; Guangba Yu; Haibin Zhang; Huxing Zhang (J. Netw. Comput. Appl., 2024)

Mint: Cost-Efficient Tracing with All Requests Collection via Commonality and Variability Analysis. - Haiyu Huang 002; Cheng Chen; Kunyi Chen; Pengfei Chen 002; Guangba Yu; Zilong He; Yilun Wang; Huxing Zhang; Qi Zhou 001 (ASPLOS (1), 2025)

LLMPrism: Black-box Performance Diagnosis for Production LLM Training Platforms. - Zhihan Jiang; Rui Ren; Guangba Yu; Yulun Wu; Wenwei Gu; Yichen Li 003; Yujie Huang; Cong Feng; Zengyin Yang; Yongqiang Yang; Michael R. Lyu (DSN-S, 2025)

COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge. - Yichen Li 003; Yulun Wu; Jinyang Liu 002; Zhihan Jiang; Zhuangbin Chen; Guangba Yu; Michael R. Lyu (ICSE, 2025)

Conan: Uncover Consensus Issues in Distributed Databases Using Fuzzing-Driven Fault Injection. - Haojia Huang; Pengfei Chen 002; Guangba Yu; Haiyu Huang 002; Jia Chang; Jun Li; Jian Han (SANER, 2025)

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis. - Zhihan Jiang; Junjie Huang 008; Guangba Yu; Zhuangbin Chen; Yichen Li 003; Renyi Zhong; Cong Feng; Yongqiang Yang; Zengyin Yang; Michael R. Lyu (SIGSOFT FSE Companion, 2025)

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis. - Zhihan Jiang; Junjie Huang 008; Zhuangbin Chen; Yichen Li 003; Guangba Yu; Cong Feng; Yongqiang Yang; Zengyin Yang; Michael R. Lyu (CoRR, 2025)

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

Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation. - Renyi Zhong; Yichen Li 003; Guangba Yu; Wenwei Gu; Jinxi Kuang; Yintong Huo; 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)

CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency. - Renyi Zhong; Yintong Huo; Wenwei Gu; Jinxi Kuang; Zhihan Jiang; Guangba Yu; Yichen Li 003; David Lo 001; Michael R. Lyu (CoRR, 2025)

DaiFu: In-Situ Crash Recovery for Deep Learning Systems. - Zilong He; Pengfei Chen 002; Hongyu Zhang 002; Xiaoyun Li; Guangba Yu; Hongyang Chen; Zibin Zheng (CoRR, 2025)