Code clone detection experience at microsoft. - Yingnong Dang; Song Ge; Ray Huang; Dongmei Zhang 001 (IWSC, 2011)

XIAO: tuning code clones at hands of engineers in practice. - Yingnong Dang; Dongmei Zhang 001; Song Ge; Chengyun Chu; Yingjun Qiu; Tao Xie 001 (ACSAC, 2012)

Teaching and Training for Software Analytics. - Dongmei Zhang 001; Yingnong Dang; Shi Han; Tao Xie 001 (CSEE&T, 2012)

ReBucket: A method for clustering duplicate crash reports based on call stack similarity. - Yingnong Dang; Rongxin Wu; Hongyu Zhang 002; Dongmei Zhang 001; Peter Nobel (ICSE, 2012)

Performance debugging in the large via mining millions of stack traces. - Shi Han; Yingnong Dang; Song Ge; Dongmei Zhang 001; Tao Xie 001 (ICSE, 2012)

Can I clone this piece of code here? - Xiaoyin Wang; Yingnong Dang; Lu Zhang 023; Dongmei Zhang 001; Erica Lan; Hong Mei 001 (ASE, 2012)

How do software engineers understand code changes?: an exploratory study in industry. - Yida Tao; Yingnong Dang; Tao Xie 001; Dongmei Zhang 001; Sunghun Kim 001 (SIGSOFT FSE, 2012)

Mining succinct and high-coverage API usage patterns from source code. - Jue Wang; Yingnong Dang; Hongyu Zhang 002; Kai Chen; Tao Xie 001; Dongmei Zhang 001 (MSR, 2013)

Software Analytics in Practice. - Dongmei Zhang 001; Shi Han; Yingnong Dang; Jian-Guang Lou; Haidong Zhang; Tao Xie 001 (IEEE Softw., 2013)

Predicting Consistency-Maintenance Requirement of Code Clonesat Copy-and-Paste Time. - Xiaoyin Wang; Yingnong Dang; Lu Zhang 023; Dongmei Zhang 001; Erica Lan; Hong Mei 001 (IEEE Trans. Software Eng., 2014)

Pingmesh: A Large-Scale System for Data Center Network Latency Measurement and Analysis. - Chuanxiong Guo; Lihua Yuan; Dong Xiang; Yingnong Dang; Ray Huang; David A. Maltz; Zhaoyi Liu; Vin Wang; Bin Pang; Hua Chen; Zhi-Wei Lin; Varugis Kurien (SIGCOMM, 2015)

YADING: Fast Clustering of Large-Scale Time Series Data. - Rui Ding 001; Qiang Wang; Yingnong Dang; Qiang Fu 015; Haidong Zhang; Dongmei Zhang 001 (Proc. VLDB Endow., 2015)

Gray Failure: The Achilles' Heel of Cloud-Scale Systems. - Peng Huang 005; Chuanxiong Guo; Lidong Zhou; Jacob R. Lorch; Yingnong Dang; Murali Chintalapati; Randolph Yao (HotOS, 2017)

Transferring Code-Clone Detection and Analysis to Practice. - Yingnong Dang; Dongmei Zhang 001; Song Ge; Ray Huang; Chengyun Chu; Tao Xie 001 (ICSE-SEIP, 2017)

Deepview: Virtual Disk Failure Diagnosis and Pattern Detection for Azure. - Qiao Zhang 001; Guo Yu; Chuanxiong Guo; Yingnong Dang; Nick Swanson; Xinsheng Yang; Randolph Yao; Murali Chintalapati; Arvind Krishnamurthy; Thomas E. Anderson (NSDI, 2018)

Capturing and Enhancing In Situ System Observability for Failure Detection. - Peng Huang 005; Chuanxiong Guo; Jacob R. Lorch; Lidong Zhou; Yingnong Dang (OSDI, 2018)

Predicting Node failure in cloud service systems. - Qingwei Lin; Ken Hsieh; Yingnong Dang; Hongyu Zhang 002; Kaixin Sui; Yong Xu 010; Jian-Guang Lou; Chenggang Li; Youjiang Wu; Randolph Yao; Murali Chintalapati; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2018)

Improving Service Availability of Cloud Systems by Predicting Disk Error. - Yong Xu 010; Kaixin Sui; Randolph Yao; Hongyu Zhang 002; Qingwei Lin; Yingnong Dang; Peng Li 062; Keceng Jiang; Wenchi Zhang; Jian-Guang Lou; Murali Chintalapati; Dongmei Zhang 001 (USENIX ATC, 2018)

Neural Feature Search: A Neural Architecture for Automated Feature Engineering. - Xiangning Chen; Bo Qiao 001; Weiyi Zhang; Wei Wu 011; Murali Chintalapati; Dongmei Zhang 001; Qingwei Lin; Chuan Luo 002; Xudong Li; Hongyu Zhang 002; Yong Xu 010; Yingnong Dang; et al. (ICDM, 2019)

An empirical investigation of incident triage for online service systems. - Junjie Chen 003; Xiaoting He 003; Qingwei Lin; Yong Xu 010; Hongyu Zhang 002; Dan Hao 001; Feng Gao 022; Zhangwei Xu; Yingnong Dang; Dongmei Zhang 001 (ICSE (SEIP), 2019)

AIOps: real-world challenges and research innovations. - Yingnong Dang; Qingwei Lin; Peng Huang 005 (ICSE (Companion Volume), 2019)

Continuous Incident Triage for Large-Scale Online Service Systems. - Junjie Chen 003; Xiaoting He 003; Qingwei Lin; Hongyu Zhang 002; Dan Hao 001; Feng Gao 022; Zhangwei Xu; Yingnong Dang; Dongmei Zhang 001 (ASE, 2019)

Robust log-based anomaly detection on unstable log data. - Xu Zhang 024; Yong Xu 010; Qingwei Lin; Bo Qiao 001; Hongyu Zhang 002; Yingnong Dang; Chunyu Xie; Xinsheng Yang; Qian Cheng; Ze Li 005; Junjie Chen 003; Xiaoting He 003; et al. (ESEC/SIGSOFT FSE, 2019)

Cross-dataset Time Series Anomaly Detection for Cloud Systems. - Xu Zhang 024; Qingwei Lin; Yong Xu 010; Si Qin; Hongyu Zhang 002; Bo Qiao 001; Yingnong Dang; Xinsheng Yang; Qian Cheng; Murali Chintalapati; Youjiang Wu; Ken Hsieh; et al. (USENIX ATC, 2019)

Outage Prediction and Diagnosis for Cloud Service Systems. - Yujun Chen; Xian Yang 001; Qingwei Lin; Hongyu Zhang 002; Feng Gao 022; Zhangwei Xu; Yingnong Dang; Dongmei Zhang 001; Hang Dong 004; Yong Xu 010; Hao Li; Yu Kang 006 (WWW, 2019)

Annual Interruption Rate as a KPI, its measurement and comparison. - Rohit Pandey; Yingnong Dang; Ali Vira; Aerin Young Kim; Gil Lapid Shafriri; Murali Chintalapati (CoRR, 2019)

How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems. - Junjie Chen 003; Shu Zhang; Xiaoting He 003; Qingwei Lin; Hongyu Zhang 002; Dan Hao 001; Yu Kang 006; Feng Gao 022; Zhangwei Xu; Yingnong Dang; Dongmei Zhang 001 (ASE, 2020)

Gandalf: An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure. - Ze Li 005; Qian Cheng; Ken Hsieh; Yingnong Dang; Peng Huang 005; Pankaj Singh; Xinsheng Yang; Qingwei Lin; Youjiang Wu; Sebastien Levy; Murali Chintalapati (NSDI, 2020)

Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions. - Sebastien Levy; Randolph Yao; Youjiang Wu; Yingnong Dang; Peng Huang 005; Zheng Mu; Pu Zhao 004; Tarun Ramani; Naga K. Govindaraju; Xukun Li; Qingwei Lin; Gil Lapid Shafriri; et al. (OSDI, 2020)

Towards intelligent incident management: why we need it and how we make it. - Zhuangbin Chen; Yu Kang 006; Liqun Li; Xu Zhang 024; Hongyu Zhang 002; Hui Xu 009; Yangfan Zhou; Li Yang; Jeffrey Sun; Zhangwei Xu; Yingnong Dang; Feng Gao 022; et al. (ESEC/SIGSOFT FSE, 2020)

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)

How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems. - Jiajun Jiang; Weihai Lu; Junjie Chen 003; Qingwei Lin; Pu Zhao 004; Yu Kang 006; Hongyu Zhang 002; Yingfei Xiong 001; Feng Gao 022; Zhangwei Xu; Yingnong Dang; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2020)

Breaking hypothesis testing for failure rates. - Rohit Pandey; Yingnong Dang; Gil Lapid Shafriri; Murali Chintalapati; Aerin Young Kim (CoRR, 2020)

CARE: Infusing Causal Aware Thinking to Root Cause Analysis in Cloud System. - Yong Xu 010; Xu Zhang 024; Chuan Luo 002; Si Qin; Rohit Pandey; Chao Du; Qingwei Lin; Yingnong Dang; Andrew Zhou (HAOC@EuroSys, 2021)

How Long Will it Take to Mitigate this Incident for Online Service Systems? - Weijing Wang; Junjie Chen 003; Lin Yang; Hongyu Zhang 002; Pu Zhao 004; Bo Qiao 001; Yu Kang 006; Qingwei Lin; Saravanakumar Rajmohan; Feng Gao 022; Zhangwei Xu; Yingnong Dang; et al. (ISSRE, 2021)

HALO: Hierarchy-aware Fault Localization for Cloud Systems. - Xu Zhang 024; Chao Du; Yifan Li; Yong Xu 010; Hongyu Zhang 002; Si Qin; Ze Li 005; Qingwei Lin; Yingnong Dang; Andrew Zhou; Saravanakumar Rajmohan; Dongmei Zhang 001 (KDD, 2021)

Onion: identifying incident-indicating logs for cloud systems. - Xu Zhang 024; Yong Xu 010; Si Qin; Shilin He; Bo Qiao 001; Ze Li 005; Hongyu Zhang 002; Xukun Li; Yingnong Dang; Qingwei Lin; Murali Chintalapati; Saravanakumar Rajmohan; et al. (ESEC/SIGSOFT FSE, 2021)

NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. - Chuan Luo 002; Pu Zhao 004; Bo Qiao 001; Youjiang Wu; Hongyu Zhang 002; Wei Wu 011; Weihai Lu; Yingnong Dang; Saravanakumar Rajmohan; Qingwei Lin; Dongmei Zhang 001 (WWW, 2021)

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. - Yudong Liu; Hailan Yang; Pu Zhao 004; Minghua Ma; Chengwu Wen; Hongyu Zhang 002; Chuan Luo 002; Qingwei Lin; Chang Yi; Jiaojian Wang; Chenjian Zhang; Paul Wang; et al. (KDD, 2022)

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. - Lu Wang 029; Pu Zhao 004; Chao Du; Chuan Luo 002; Mengna Su; Fangkai Yang; Yudong Liu; Qingwei Lin; Min Wang; Yingnong Dang; Hongyu Zhang 002; Saravan Rajmohan; et al. (KDD, 2022)

RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure. - Chang Lou; Cong Chen; Peng Huang 005; Yingnong Dang; Si Qin; Xinsheng Yang; Xukun Li; Qingwei Lin; Murali Chintalapati (OSDI, 2022)

An empirical study of log analysis at Microsoft. - Shilin He; Xu Zhang 024; Pinjia He; Yong Xu 010; Liqun Li; Yu Kang 006; Minghua Ma; Yining Wei; Yingnong Dang; Saravanakumar Rajmohan; Qingwei Lin (ESEC/SIGSOFT FSE, 2022)

An empirical investigation of missing data handling in cloud node failure prediction. - Minghua Ma; Yudong Liu; Yuang Tong; Haozhe Li; Pu Zhao 004; Yong Xu 010; Hongyu Zhang 002; Shilin He; Lu Wang 029; Yingnong Dang; Saravanakumar Rajmohan; Qingwei Lin (ESEC/SIGSOFT FSE, 2022)

SPINE: a scalable log parser with feedback guidance. - Xuheng Wang; Xu Zhang 024; Liqun Li; Shilin He; Hongyu Zhang 002; Yudong Liu; Lingling Zheng; Yu Kang 006; Qingwei Lin; Yingnong Dang; Saravanakumar Rajmohan; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2022)

UniParser: A Unified Log Parser for Heterogeneous Log Data. - Yudong Liu; Xu Zhang 024; Shilin He; Hongyu Zhang 002; Liqun Li; Yu Kang 006; Yong Xu 010; Minghua Ma; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (WWW, 2022)

An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. - Yichen Li 003; Xu Zhang 024; Shilin He; Zhuangbin Chen; Yu Kang 006; Jinyang Liu 002; Liqun Li; Yingnong Dang; Feng Gao 022; Zhangwei Xu; Saravan Rajmohan; Qingwei Lin; et al. (ACM SIGOPS Oper. Syst. Rev., 2022)

Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. - Xu Zhang 024; Yuan Zhao; Ziang Cui; Liqun Li; Shilin He; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (ICLR, 2023)

CONAN: Diagnosing Batch Failures for Cloud Systems. - Liqun Li; Xu Zhang 024; Shilin He; Yu Kang 006; Hongyu Zhang 002; Minghua Ma; Yingnong Dang; Zhangwei Xu; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ICSE-SEIP, 2023)

Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems. - Xiaohan Yan; Ken Hsieh; Yasitha Liyanage; Minghua Ma; Murali Chintalapati; Qingwei Lin; Yingnong Dang; Dongmei Zhang 001 (ICSE-SEIP, 2023)

Assess and Summarize: Improve Outage Understanding with Large Language Models. - Pengxiang Jin; Shenglin Zhang; Minghua Ma; Haozhe Li; Yu Kang 006; Liqun Li; Yudong Liu; Bo Qiao 001; Chaoyun Zhang; Pu Zhao 004; Shilin He; Federica Sarro; et al. (ESEC/SIGSOFT FSE, 2023)

EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. - Qingwei Lin; Tianci Li; Pu Zhao 004; Yudong Liu; Minghua Ma; Lingling Zheng; Murali Chintalapati; Bo Liu; Paul Wang; Hongyu Zhang 002; Yingnong Dang; Saravan Rajmohan; et al. (WWW (Companion Volume), 2023)

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. - Yuxuan Jiang; Chaoyun Zhang; Shilin He; Zhihao Yang; Minghua Ma; Si Qin; Yu Kang 006; Yingnong Dang; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ICSE, 2024)

UniLog: Automatic Logging via LLM and In-Context Learning. - Junjielong Xu; Ziang Cui; Yuan Zhao; Xu Zhang 024; Shilin He; Pinjia He; Liqun Li; Yu Kang 006; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001 (ICSE, 2024)

Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. - Haozhe Li; Minghua Ma; Yudong Liu; Pu Zhao 004; Shuo Li 013; Ze Li 005; Murali Chintalapati; Yingnong Dang; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ISSRE, 2024)

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction. - Yudong Liu; Minghua Ma; Pu Zhao 004; Tianci Li; Bo Qiao 001; Shuo Li 013; Ze Li 005; Murali Chintalapati; Yingnong Dang; Chetan Bansal; Saravan Rajmohan; Qingwei Lin; et al. (ISSRE (Workshops), 2024)

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. - Zhaoyang Yu; Minghua Ma; Chaoyun Zhang; Si Qin; Yu Kang 006; Chetan Bansal; Saravan Rajmohan; Yingnong Dang; Changhua Pei; Dan Pei; Qingwei Lin; Dongmei Zhang 001 (SIGSOFT FSE Companion, 2024)

Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction. - Haozhe Li; Minghua Ma; Yudong Liu; Pu Zhao 004; Lingling Zheng; Ze Li 005; Yingnong Dang; Murali Chintalapati; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (CoRR, 2024)

DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale. - Linghao Zhang; Junhao Wang; Shilin He; Chaoyun Zhang; Yu Kang 006; Bowen Li 002; Jiaheng Wen; Chengxing Xie; Maoquan Wang; Yufan Huang; Elsie Nallipogu; Qingwei Lin; et al. (ACL (Findings), 2025)

Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation. - Xing Zhang; Jiaheng Wen; Fangkai Yang; Pu Zhao 004; Yu Kang 006; Junhao Wang; Maoquan Wang; Yufan Huang; Elsie Nallipogu; Qingwei Lin; Yingnong Dang; Saravan Rajmohan; et al. (CoRR, 2025)

Enabling Autonomic Microservice Management through Self-Learning Agents. - Fenglin Yu; Fangkai Yang; Xiaoting Qin; Zhiyang Zhang; Jue Zhang; Qingwei Lin; Hongyu Zhang 002; Yingnong Dang; Saravan Rajmohan; Dongmei Zhang 001; Qi Zhang 066 (CoRR, 2025)

SWE-bench Goes Live! - Linghao Zhang; Shilin He; Chaoyun Zhang; Yu Kang 006; Bowen Li 002; Chengxing Xie; Junhao Wang; Maoquan Wang; Yufan Huang; Shengyu Fu; Elsie Nallipogu; Qingwei Lin; et al. (CoRR, 2025)