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He, Shilin, Lin, Qingwei, Lou, Jian-Guang, Zhang, Hongyu, Lyu, Michael R., Zhang, Dongmei. Association for Computing Machinery; 2018. Identifying impactful service system problems via log analysis.
Lin, Qingwei, Zhang, Hongyu, Lou, Jian-Guang, Zhang, Yu, Chen, Xuewei. Association for Computing Machinery (ACM); 2016. Log clustering based problem identification for online service systems.
Luo, Chuan, Sun, Binqi, Qiao, Bo, Chen, Junjie, Zhang, Hongyu, Lin, Jinkun, Lin, Qingwei, Zhang, Dongmei. ACM; 2021. LS-sampling: An effective local search based sampling approach for achieving high t-wise coverage.
Lin, Jinkun, Cai, Shaowei, Luo, Chuan, Lin, Qingwei, Zhang, Hongyu. ACM; 2019. Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation.
Luo, Chuan, Zhao, Pu, Zhang, Dongmei, Qiao, Bo, Wu, Youjiang, Zhang, Hongyu, Wu, Wei, Lu, Weihai, Dang, Yingnong, Rajmohan, Saravanakumar, Lin, Qingwei. ACM; 2021. NTAM: Neighborhood-temporal attention model for disk failure prediction in cloud platforms.
Wang, Weijing, Chen, Junjie, Xu, Zhangwei, Dang, Yingnong, Zhang, Dongmei, Yang, Lin, Zhang, Hongyu, Zhao, Pu, Qiao, Bo, Kang, Yu, Lin, Qingwei, Rajmohan, Saravanakumar, Gao, Feng. Institute of Electrical and Electronics Engineers (IEEE); 2021. How long will it take to mitigate this incident for online service systems?.
Zhang, Xu, Lin, Qingwei, Wu, Youjiang, Hsieh, Ken, Sui, Kaixin, Meng, Xin, Xu, Yaohai, Zhang, Wenchi, Shen, Furao, Zhang, Dongmei, Xu, Yong, Qin, Si, Zhang, Hongyu, Qiao, Bo, Dang, Yingnong, Yang, Xinshen, Cheng, Qian, Chintalapati, Murali. USENIX Association; 2019. Cross-dataset time series anomaly detection for cloud systems.
Zhang, Xu, Xu, Yong, Lin, Qingwei, Qiao, Bo, Zhang, Hongyu, Dang, Yingnong, Xie, Chunyu, Yang, Xinsheng, Cheng, Qian, Li, Ze, Chen, Junjie, He, Xiaoting, Yao, Randolph, Lou, Jian-Guang, Chintalapati, Murali, Shen, Furao, Zhang, Dongmei. Association for Computing Machinery; 2019. Robust log-based anomaly detection on unstable log data.
Luo, Chuan, Zhao, Pu, Lin, Qingwei, Chen, Chen, Qiao, Bo, Du, Chao, Zhang, Hongyu, Wu, Wei, Cai, Shaowei, He, Bing, Rajmohan, Saravanakumar. AAAI Press; 2021. PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector.
Lin, Qingwei, Ke, Weichen, Lou, Jian-Guang, Zhang, Hongyu, Sui, Kaixin, Xu, Yong, Zhou, Ziyi, Qiao, Bo, Zhang, Dongmei. Association for Computing Machinery; 2018. BigIN4: instant, interactive insight identification for multi-dimensional big data.
Luo, Chuan, Hoos, Holger H., Cai, Shaowei, Lin, Qingwei, Zhang, Hongyu, Zhang, Dongmei. International Joint Conferences on Artificial Intelligence Organization; 2019. Local Search with Efficient Automatic Configuration for Minimum Vertex Cover.
Lin, Qingwei, Hsieh, Ken, Chintalapati, Murali, Zhang, Dongmei, Dang, Yingnong, Zhang, Hongyu, Sui, Kaixin, Xu, Youjiang, Lou, Jian-Guang, Li, Chenggang, Wu, Youjiang, Yao, Randolph. Association for Computing Machinery; 2018. Predicting node failure in cloud service systems.
Zhang, Xu, Xu, Yong, Chintalapati, Murali, Rajmohan, Saravanakumar, Zhang, Dongmei, Qin, Si, He, Shilin, Qiao, Bo, Li, Ze, Zhang, Hongyu, Li, Xukun, Dang, Yingnong, Lin, Qingwei. Association for Computing Machinery (ACM); 2021. Onion: Identifying incident-indicating logs for cloud systems.
Lim, Meng-Hui, Lou, Jian-Guang, Zhang, Hongyu, Fu, Qiang, Teoh, Andrew Beng Jin, Lin, Qingwei, Ding, Rui, Zhang, Dongmei. Institute of Electrical and Electronics Engineers (IEEE); 2014. Identifying recurrent and unknown performance issues.
Xu, Yong, Sui, Kaixin, Chintalapati, Murali, Zhang, Dongmei, Yao, Randolph, Zhang, Hongyu, Lin, Qingwei, Dang, Yingnong, Li, Peng, Jiang, Keceng, Zhang, Wenchi, Lou, Jian-Guang. USENIX Association; 2018. Improving service availability of cloud systems by predicting disk error.
Jiang, Jiajun, Lu, Weihai, Chen, Junjie, Lin, Qingwei, Zhao, Pu, Kang, Yu, Zhang, Hongyu, Xiong, Yingfei, Gao, Feng, Xu, Zhangwei, Dang, Yingnong, Zhang, Dongmei. Association for Computing Machinery; 2020. How to mitigate the incident? An effective troubleshooting guide recommendation technique for online service systems.
Ding, Rui, Zhou, Hucheng, Lou, Jian-Guang, Zhang, Hongyu, Lin, Qingwei, Fu, Qiang, Zhang, Dongmei, Xie, Tao. USENIX Association; 2015. Log²: a cost-aware logging mechanism for performance diagnosis.
Chen, Junjie, Zhang, Shu, He, Xiaoting, Lin, Qingwei, Zhang, Hongyu, Hao, Dan, Kang, Yu, Gao, Feng, Xu, Zhangwei, Dang, Yingnong, Zhang, Dongmei. Institute of Electrical and Electronics Engineers (IEEE); 2020. How incidental are the incidents? Characterizing and prioritizing incidents for large-scale online service systems.
Chen, Yujun, Yang, Xian, Dong, Hang, He, Xiaoting, Zhang, Hongyu, Lin, Qingwei, Chen, Junjie, Zhao, Pu, Kang, Yu, Gao, Feng, Xu, Zhangwei, Zhang, Dongmei. Association for Computing Machinery (ACM); 2020. Identifying linked incidents in large-scale online service systems.
Lin, Qingwei, Lou, Jian-Guang, Zhang, Hongyu, Zhang, Dongmei. Association for Computing Machinery (ACM); 2016. iDice: problem identification for emerging issues.
Liu, Yudong, Zhang, Xu, Rajmohan, Saravan, Zhang, Dongmei, He, Shilin, Zhang, Hongyu, Li, Liqun, Kang, Yu, Xu, Yong, Ma, Minghua, Lin, Qingwei, Dang, Yingnong. Association for Computing Machinery (ACM); 2022. UniParser: A Unified Log Parser for Heterogeneous Log Data.
Chen, Junjie, He, Xiaoting, Lin, Qingwei, Zhang, Hongyu, Hao, Dan, Gao, Feng, Xu, Zhangwei, Dang, Yingnong, Zhang, Dongnei. Institute of Electrical and Electronics Engineers (IEEE); 2019. Continuous incident triage for large-scale online service systems.
Wang, Yaohui, Li, Guozheng, Xu, Zhangwei, Zhao, Pu, Qiao, Bo, Li, Liqun, Zhang, Xu, Lin, Qingwei, Wang, Zijian, Kang, Yu, Zhou, Yangfan, Zhang, Hongyu, Gao, Feng, Sun, Jeffrey, Yang, Li, Lee, Pochian. Institute of Electrical and Electronics Engineers (IEEE); 2021. Fast Outage Analysis of Large-Scale Production Clouds with Service Correlation Mining.
Chen, Junjie, He, Xiaoting, Lin, Qingwei, Xu, Yong, Zhang, Hongyu, Hao, Dan, Gao, Feng, Xu, Zhangwei, Dang, Yingnong, Zhang, Dongmei. Institute of Electrical and Electronics Engineers (IEEE); 2019. An Empirical Investigation of Incident Triage for Online Service Systems.
Li, Liqun, Zhang, Xu, Gao, Feng, Yang, Li, Lin, Qingwei, Rajmohan, Saravanakumar, Xu, Zhangwei, Zhang, Dongmei, Zhao, Xin, Zhang, Hongyu, Kang, Yu, Zhao, Pu, Qiao, Bo, He, Shilin, Lee, Pochian, Sun, Jeffrey. USENIX Association; 2021. Fighting the Fog of War: Automated Incident Detection for Cloud Systems.
Chen, Xiangning, Lin, Qingwei, Luo, Chuan, Li, Xudong, Zang, Hongyu, Xu, Yong, Dang, Yingnong, Sui, Kaixin, Zhang, Xu, Qiao, Bo, Zhang, Weiyi, Wu, Wei, Chintalapati, Murali, Zhang, Dongmei. Institute of Electrical and Electronics Engineers (IEEE); 2019. Neural feature search: a neural architecture for automated feature engineering.
Luo, Chuan, Qiao, Bo, Chen, Xin, Zhao, Pu, Yao, Randolph, Zhang, Hongyu, Wu, Wei, Zhou, Andrew, Lin, Qingwei. International Joint Conferences on Artificial Intelligence Organization; 2020. Intelligent virtual machine provisioning in cloud computing.
Dong, Hang, Qin, Si, Abuduweili, Abulikemu, Ramanujan, Sanjay, Subramanian, Karthikeyan, Zhou, Andrew, Rajmohan, Saravanakumar, Zhang, Dongmei, Moscibroda, Thomas, Xu, Yong, Qiao, Bo, Zhou, Shandan, Yang, Xian, Luo, Chuan, Zhao, Pu, Lin, Qingwei, Zhang, Hongyu. Association for Computing Machinery (ACM); 2021. Effective low capacity status prediction for cloud systems.
Zhang, Xu, Du, Chao, Rajmohan, Saravanakumar, Zhang, Dongmei, Li, Yifan, Xu, Yong, Zhang, Hongyu, Qin, Si, Li, Ze, Lin, Qingwei, Dang, Yingnong, Zhou, Andrew. Association for Computing Machiner (ACM); 2021. HALO: Hierarchy-aware Fault Localization for Cloud Systems.
Gu, Jiazhen, Luo, Chuan, Qin, Si, Qiao, Bo, Lin, Qingwei, Zhang, Hongyu, Li, Ze, Dang, Yingnong, Cai, Shaowei, Wu, Wei, Zhou, Yangfan, Chintalapati, Murali, Zhang, Dongmei. Association for Computing Machinery; 2020. Efficient incident identification from multi-dimensional issue reports via meta-heuristic search.
Chen, Zhuangbin, Kang, Yu, Li, Liqun, Zhang, Xu, Zhang, Hongyu, Xu, Hui, Zhou, Yangfan, Yang, Li, Sun, Jeffrey, Xu, Zhangwei, Dang, Yingnong, Gao, Feng, Zhao, Pu, Qiao, Bo, Lin, Qingwei, Zhang, Dongmei, Lyu, Michael R.. Association for Computing Machinery (ACM); 2020. Towards Intelligent Incident Management: Why We Need It and How We Make It.
Li, Liqun, Zhang, Xu, Zhang, Dongmei, He, Shilin, Kang, Yu, Zhango, Hongyu, Ma, Mingyu, Dang, Yingnong, Xu, Zhangwei, Rajmohan, Saravan, Lin, Qingwei. Institute of Electrical and Electronic Engineers (IEEE); 2023. CONAN: Diagnosing Batch Failures for Cloud Systems.
Ma, Minghua, Liu, Yudong, Rajmohan, Saravanakumar, Lin, Qingwei, Tong, Yuang, Li, Haozhe, Zhao, Pu, Xu, Yong, Zhang, Hongyu, He, Shilin, Wang, Lu, Dang, Yingnong. Association for Computing Machinery (ACM); 2022. An empirical investigation of missing data handling in cloud node failure prediction.
Wang, Lu, Zhao, Pu, Zhang, Hongyu, Rajmohan, Saravan, Zhang, Dongmei, Du, Chao, Luo, Chuan, Su, Mengna, Yang, Fangkai, Liu, Yudong, Lin, Qingwei, Wang, Min, Dang, Yingnong. Association for Computing Machinery; 2022. NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365.
Liu, Yudong, Yang, Hailan, Zhang, Chenjian, Wang, Paul, Dang, Yingnong, Rajmohan, Saravan, Zhang, Dongmei, Zhao, Pu, Ma, Minghua, Wen, Chengwu, Zhang, Hongyu, Luo, Chuan, Lin, Qingwei, Yi, Chang, Wang, Jiaojian. Association for Computing Machinery; 2022. Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems.
Luo, Chuan, Lin, Jinkun, Rajmohan, Saravanakumar, Zhang, Dongmei, Cai, Shaowei, Chen, Xin, He, Bing, Qiao, Bo, Zhao, Pu, Lin, Qingwei, Zhang, Hongyu, Wu, Wei. Institute of Electrical and Electronics Engineers (IEEE); 2021. AutoCCAG: An Automated Approach to Constrained Covering Array Generation.
Chen, Yujun, Zhang, Hongyu, Xu, Zhangwei, Dang, Yingnong, Yang, Xian, Lin, Qingwei, Zhang, Dongmei, Dong, Hang, Xu, Yong, Li, Hao, Kang, Yu, Gao, Feng. Association for Computing Machinery; 2019. Outage Prediction and Diagnosis for Cloud Service Systems.
Wang, Xuheng, Zhang, Xu, Rajmohan, Saravanakumar, Zhang, Dongmei, Li, Liqun, He, Shilin, Zhang, Hongyu, Liu, Yudong, Zheng, Lingling, Kang, Yu, Lin, Qingwei, Dang, Yingnong. Association for Computing Machinery; 2022. SPINE: a scalable log parser with feedback guidance.