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2020 – today
- 2024
[c50]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: 14:1-14:12- [c49]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: 92:1-92:13 - [c48]Yudong Liu, Minghua Ma, Pu Zhao, Tianci Li, Bo Qiao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction. ISSRE (Workshops) 2024: 49-54 - [c47]Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. ISSRE 2024: 499-510 - [c46]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: 38-49 - [i6]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 abs/2402.00034 (2024) - 2023
- [c45]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 - [c44]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: 138-149 - [c43]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: 222-233 - [c42]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: 1657-1668 - [c41]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: 371-375 - [i5]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 abs/2305.18084 (2023) - [i4]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 abs/2312.11988 (2023) - 2022
- [j4]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): 1-7 (2022) - [c40]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: 3438-3446 - [c39]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: 4032-4040 - [c38]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: 109-125 - [c37]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: 1198-1208 - [c36]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: 1453-1464 - [c35]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: 1465-1476 - [c34]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: 1893-1901 - [i3]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 abs/2202.06569 (2022) - 2021
- [c33]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: 1-3 - [c32]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: 36-46 - [c31]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: 3948-3958 - [c30]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: 1253-1263 - [c29]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: 1181-1191 - 2020
- [c28]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: 373-384 - [c27]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: 389-402 - [c26]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: 1155-1170 - [c25]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: 292-303 - [c24]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: 1410-1420 - [c23]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: 1487-1497 - [i2]Rohit Pandey, Yingnong Dang, Gil Lapid Shafriri, Murali Chintalapati, Aerin Young Kim:
Breaking hypothesis testing for failure rates. CoRR abs/2001.04045 (2020)
2010 – 2019
- 2019
- [c22]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: 71-80 - [c21]Yingnong Dang, Qingwei Lin, Peng Huang:
AIOps: real-world challenges and research innovations. ICSE (Companion Volume) 2019: 4-5 - [c20]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: 111-120 - [c19]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: 364-375 - [c18]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: 807-817 - [c17]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 ATC 2019: 1063-1076 - [c16]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: 2659-2665 - [i1]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 abs/1910.12200 (2019) - 2018
- [c15]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: 519-532 - [c14]Peng Huang, Chuanxiong Guo, Jacob R. Lorch, Lidong Zhou, Yingnong Dang:
Capturing and Enhancing In Situ System Observability for Failure Detection. OSDI 2018: 1-16 - [c13]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: 480-490 - [c12]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 ATC 2018: 481-494 - 2017
- [c11]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: 150-155 - [c10]Yingnong Dang, Dongmei Zhang, Song Ge, Ray Huang, Chengyun Chu, Tao Xie:
Transferring Code-Clone Detection and Analysis to Practice. ICSE-SEIP 2017: 53-62 - 2015
- [j3]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): 473-484 (2015) - [c9]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: 139-152 - 2014
- [j2]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): 773-794 (2014) - 2013
- [j1]Dongmei Zhang, Shi Han, Yingnong Dang, Jian-Guang Lou, Haidong Zhang, Tao Xie:
Software Analytics in Practice. IEEE Softw. 30(5): 30-37 (2013) - [c8]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: 319-328 - 2012
- [c7]Yingnong Dang, Dongmei Zhang, Song Ge, Chengyun Chu, Yingjun Qiu, Tao Xie:
XIAO: tuning code clones at hands of engineers in practice. ACSAC 2012: 369-378 - [c6]Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie:
Teaching and Training for Software Analytics. CSEE&T 2012: 92 - [c5]Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie:
Performance debugging in the large via mining millions of stack traces. ICSE 2012: 145-155 - [c4]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: 1084-1093 - [c3]Xiaoyin Wang, Yingnong Dang, Lu Zhang, Dongmei Zhang, Erica Lan, Hong Mei:
Can I clone this piece of code here? ASE 2012: 170-179 - [c2]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: 51 - 2011
- [c1]Yingnong Dang, Song Ge, Ray Huang, Dongmei Zhang:
Code clone detection experience at microsoft. IWSC 2011: 63-64
Coauthor Index
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