Yingnong Dang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
16
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale. | Linghao Zhang, Junhao Wang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Jiaheng Wen, Chengxing Xie, Maoquan Wang, Yufan Huang, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | EMNLP | Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation. | Xing Zhang, Jiaheng Wen, Fangkai Yang, Yu Kang, Pu Zhao, Junhao Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2024 | ICSE | 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, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2024 | ICSE | UniLog: Automatic Logging via LLM and In-Context Learning. | Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2024 | ISSRE | Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. | Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2024 | ISSRE | Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction. | 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 |
| 2023 | ICLR | Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. | Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2023 | ICSE | CONAN: Diagnosing Batch Failures for Cloud Systems. | Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | ICSE | 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 |
| 2023 | WWW | EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. | 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 |
| 2022 | KDD | Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. | 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 |
| 2022 | KDD | NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. | 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 |
| 2022 | OSDI | RESIN: A Holistic Service for Dealing with Memory Leaks in Production Cloud Infrastructure. | Chang Lou, Cong Chen, Peng Huang, Yingnong Dang, Si Qin, Xinsheng Yang, Xukun Li, Qingwei Lin, Murali Chintalapati |
| 2022 | WWW | UniParser: A Unified Log Parser for Heterogeneous Log Data. | Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2021 | EuroSys | CARE: Infusing Causal Aware Thinking to Root Cause Analysis in Cloud System. | Yong Xu, Xu Zhang, Chuan Luo, Si Qin, Rohit Pandey, Chao Du, Qingwei Lin, Yingnong Dang, Andrew Zhou |
| 2021 | ISSRE | How Long Will it Take to Mitigate this Incident for Online Service Systems? | 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 |
| 2021 | KDD | HALO: Hierarchy-aware Fault Localization for Cloud Systems. | Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang |
| 2021 | WWW | NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. | Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2020 | NSDI | Gandalf: An Intelligent, End-To-End Analytics Service for Safe Deployment in Large-Scale Cloud Infrastructure. | Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin, Youjiang Wu, Sebastien Levy, Murali Chintalapati |
| 2020 | OSDI | Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions. | 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 |
| 2019 | ICDM | Neural Feature Search: A Neural Architecture for Automated Feature Engineering. | 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 |
| 2019 | ICSE | An empirical investigation of incident triage for online service systems. | Junjie Chen, Xiaoting He, Qingwei Lin, Yong Xu, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang |
| 2019 | ICSE | AIOps: real-world challenges and research innovations. | Yingnong Dang, Qingwei Lin, Peng Huang |
| 2019 | WWW | Outage Prediction and Diagnosis for Cloud Service Systems. | Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang |
| 2019 | USENIX | Cross-dataset Time Series Anomaly Detection for Cloud Systems. | 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 |
| 2018 | NSDI | Deepview: Virtual Disk Failure Diagnosis and Pattern Detection for Azure. | Qiao Zhang, Guo Yu, Chuanxiong Guo, Yingnong Dang, Nick Swanson, Xinsheng Yang, Randolph Yao, Murali Chintalapati, Arvind Krishnamurthy, Thomas E. Anderson |
| 2018 | OSDI | Capturing and Enhancing In Situ System Observability for Failure Detection. | Peng Huang, Chuanxiong Guo, Jacob R. Lorch, Lidong Zhou, Yingnong Dang |
| 2018 | USENIX | Improving Service Availability of Cloud Systems by Predicting Disk Error. | 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 |
| 2017 | HotOS | Gray Failure: The Achilles' Heel of Cloud-Scale Systems. | Peng Huang, Chuanxiong Guo, Lidong Zhou, Jacob R. Lorch, Yingnong Dang, Murali Chintalapati, Randolph Yao |
| 2017 | ICSE | Transferring Code-Clone Detection and Analysis to Practice. | Yingnong Dang, Dongmei Zhang, Song Ge, Ray Huang, Chengyun Chu, Tao Xie |
| 2015 | SIGCOMM | 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 |
| 2013 | MSR | Mining succinct and high-coverage API usage patterns from source code. | Jue Wang, Yingnong Dang, Hongyu Zhang, Kai Chen, Tao Xie, Dongmei Zhang |
| 2012 | ACSAC | XIAO: tuning code clones at hands of engineers in practice. | Yingnong Dang, Dongmei Zhang, Song Ge, Chengyun Chu, Yingjun Qiu, Tao Xie |
| 2012 | ICSE | ReBucket: A method for clustering duplicate crash reports based on call stack similarity. | Yingnong Dang, Rongxin Wu, Hongyu Zhang, Dongmei Zhang, Peter Nobel |
| 2012 | ICSE | Performance debugging in the large via mining millions of stack traces. | Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie |