Yingnong Dang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 46

Top Topics

Hierarchical Classification

Failure Prediction

Service Systems

Top Venues

ESEC/SIGSOFT FSE

Publications

Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, Dongmei Zhang
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. SIGSOFT FSE Companion (2024)
Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
UniLog: Automatic Logging via LLM and In-Context Learning. ICSE (2024)
Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction. CoRR (2024)
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. ICSE (2024)
Xiaohan Yan, Ken Hsieh, Yasitha Liyanage, Minghua Ma, Murali Chintalapati, Qingwei Lin, Yingnong Dang, Dongmei Zhang
Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems. ICSE-SEIP (2023)
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Assess and Summarize: Improve Outage Understanding with Large Language Models. ESEC/SIGSOFT FSE (2023)
Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. CoRR (2023)
Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
CONAN: Diagnosing Batch Failures for Cloud Systems. ICSE-SEIP (2023)
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Assess and Summarize: Improve Outage Understanding with Large Language Models. CoRR (2023)
Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. ICLR (2023)
Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. WWW (Companion Volume) (2023)
Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. KDD (2022)
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
UniParser: A Unified Log Parser for Heterogeneous Log Data. CoRR (2022)
Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R. Lyu
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Oper. Syst. Rev. 56 (1) (2022)
Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
UniParser: A Unified Log Parser for Heterogeneous Log Data. WWW (2022)
Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. KDD (2022)
Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin, Murali Chintalapati
RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure. OSDI (2022)
Shilin He, Xu Zhang, Pinjia He, Yong Xu, Liqun Li, Yu Kang, Minghua Ma, Yining Wei, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin
An empirical study of log analysis at Microsoft. ESEC/SIGSOFT FSE (2022)
Minghua Ma, Yudong Liu, Yuang Tong, Haozhe Li, Pu Zhao, Yong Xu, Hongyu Zhang, Shilin He, Lu Wang, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin
An empirical investigation of missing data handling in cloud node failure prediction. ESEC/SIGSOFT FSE (2022)
Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin, Yingnong Dang, Saravanakumar Rajmohan, Dongmei Zhang
SPINE: a scalable log parser with feedback guidance. ESEC/SIGSOFT FSE (2022)
Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
How Long Will it Take to Mitigate this Incident for Online Service Systems? ISSRE (2021)
Yong Xu, Xu Zhang, Chuan Luo, Si Qin, Rohit Pandey, Chao Du, Qingwei Lin, Yingnong Dang, Andrew Zhou
CARE: Infusing Causal Aware Thinking to Root Cause Analysis in Cloud System. HAOC@EuroSys (2021)
Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. WWW (2021)
Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang
HALO: Hierarchy-aware Fault Localization for Cloud Systems. KDD (2021)
Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang
Onion: identifying incident-indicating logs for cloud systems. ESEC/SIGSOFT FSE (2021)
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
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search. ESEC/SIGSOFT FSE (2020)
Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems. ESEC/SIGSOFT FSE (2020)
Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems. ASE (2020)
Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin, Youjiang Wu, Sebastien Levy, Murali Chintalapati
Gandalf: An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure. NSDI (2020)
Rohit Pandey, Yingnong Dang, Gil Lapid Shafriri, Murali Chintalapati, Aerin Young Kim
Breaking hypothesis testing for failure rates. CoRR (2020)
Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, Michael R. Lyu
Towards intelligent incident management: why we need it and how we make it. ESEC/SIGSOFT FSE (2020)
Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga K. Govindaraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions. OSDI (2020)
Rohit Pandey, Yingnong Dang, Ali Vira, Aerin Young Kim, Gil Lapid Shafriri, Murali Chintalapati
Annual Interruption Rate as a KPI, its measurement and comparison. CoRR (2019)
Junjie Chen, Xiaoting He, Qingwei Lin, Yong Xu, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
An empirical investigation of incident triage for online service systems. ICSE (SEIP) (2019)
Xu Zhang, Yong Xu, Qingwei Lin, Bo Qiao, Hongyu Zhang, Yingnong Dang, Chunyu Xie, Xinsheng Yang, Qian Cheng, Ze Li, Junjie Chen, Xiaoting He, Randolph Yao, Jian-Guang Lou, Murali Chintalapati, Furao Shen, Dongmei Zhang
Robust log-based anomaly detection on unstable log data. ESEC/SIGSOFT FSE (2019)
Junjie Chen, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang
Continuous Incident Triage for Large-Scale Online Service Systems. ASE (2019)
Xiangning Chen, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang
Neural Feature Search: A Neural Architecture for Automated Feature Engineering. ICDM (2019)
Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
Outage Prediction and Diagnosis for Cloud Service Systems. WWW (2019)
Yingnong Dang, Qingwei Lin, Peng Huang
AIOps: real-world challenges and research innovations. ICSE (Companion Volume) (2019)
Xu Zhang, Qingwei Lin, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang
Cross-dataset Time Series Anomaly Detection for Cloud Systems. USENIX Annual Technical Conference (2019)
Peng Huang, Chuanxiong Guo, Jacob R. Lorch, Lidong Zhou, Yingnong Dang
Capturing and Enhancing In Situ System Observability for Failure Detection. OSDI (2018)
Qiao Zhang, Guo Yu, Chuanxiong Guo, Yingnong Dang, Nick Swanson, Xinsheng Yang, Randolph Yao, Murali Chintalapati, Arvind Krishnamurthy, Thomas E. Anderson
Deepview: Virtual Disk Failure Diagnosis and Pattern Detection for Azure. NSDI (2018)
Qingwei Lin, Ken Hsieh, Yingnong Dang, Hongyu Zhang, Kaixin Sui, Yong Xu, Jian-Guang Lou, Chenggang Li, Youjiang Wu, Randolph Yao, Murali Chintalapati, Dongmei Zhang
Predicting Node failure in cloud service systems. ESEC/SIGSOFT FSE (2018)
Yong Xu, Kaixin Sui, Randolph Yao, Hongyu Zhang, Qingwei Lin, Yingnong Dang, Peng Li, Keceng Jiang, Wenchi Zhang, Jian-Guang Lou, Murali Chintalapati, Dongmei Zhang
Improving Service Availability of Cloud Systems by Predicting Disk Error. USENIX Annual Technical Conference (2018)
Peng Huang, Chuanxiong Guo, Lidong Zhou, Jacob R. Lorch, Yingnong Dang, Murali Chintalapati, Randolph Yao
Gray Failure: The Achilles' Heel of Cloud-Scale Systems. HotOS (2017)
Yingnong Dang, Dongmei Zhang, Song Ge, Ray Huang, Chengyun Chu, Tao Xie
Transferring Code-Clone Detection and Analysis to Practice. ICSE-SEIP (2017)
Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang
YADING: Fast Clustering of Large-Scale Time Series Data. Proc. VLDB Endow. 8 (5) (2015)
Ray Huang, David A. Maltz, Bin Pang, Zhi-Wei Lin, Hua Chen, Varugis Kurien, Chuanxiong Guo, Zhaoyi Liu, Dong Xiang, Vin Wang, Yingnong Dang, Lihua Yuan
Pingmesh: A Large-Scale System for Data Center Network Latency Measurement and Analysis. Computer Communication Review (2015)
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
Pingmesh: A Large-Scale System for Data Center Network Latency Measurement and Analysis. SIGCOMM (2015)
Xiaoyin Wang, Yingnong Dang, Lu Zhang, Dongmei Zhang, Erica Lan, Hong Mei
Predicting Consistency-Maintenance Requirement of Code Clonesat Copy-and-Paste Time. IEEE Trans. Software Eng. 40 (8) (2014)
Dongmei Zhang, Shi Han, Yingnong Dang, Jian-Guang Lou, Haidong Zhang, Tao Xie
Software Analytics in Practice. IEEE Softw. 30 (5) (2013)
Jue Wang, Yingnong Dang, Hongyu Zhang, Kai Chen, Tao Xie, Dongmei Zhang
Mining succinct and high-coverage API usage patterns from source code. MSR (2013)
Yingnong Dang, Dongmei Zhang, Song Ge, Chengyun Chu, Yingjun Qiu, Tao Xie
XIAO: tuning code clones at hands of engineers in practice. ACSAC (2012)
Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie
Teaching and Training for Software Analytics. CSEE&T (2012)
Yida Tao, Yingnong Dang, Tao Xie, Dongmei Zhang, Sunghun Kim
How do software engineers understand code changes?: an exploratory study in industry. SIGSOFT FSE (2012)
Yingnong Dang, Rongxin Wu, Hongyu Zhang, Dongmei Zhang, Peter Nobel
ReBucket: A method for clustering duplicate crash reports based on call stack similarity. ICSE (2012)
Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie
Performance debugging in the large via mining millions of stack traces. ICSE (2012)
Xiaoyin Wang, Yingnong Dang, Lu Zhang, Dongmei Zhang, Erica Lan, Hong Mei
Can I clone this piece of code here? ASE (2012)
Yingnong Dang, Song Ge, Ray Huang, Dongmei Zhang
Code clone detection experience at microsoft. IWSC (2011)