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Zhang, Jian, Wang, Xu, Zhang, Hongyu, Sun, Hailong, Pu, Yanjun, Liu, Xudong. Association for Computing Machinery (ACM); 2020. Learning to handle exceptions.
Zhang, Hongyu, Gong, Liang, Versteeg, Steve. Institute of Electrical and Electronics Engineers (IEEE); 2013. Predicting bug-fixing time: an empirical study of commercial software projects.
Chen, Junjie, Xu, Ningxin, Chen, Peiqi, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2021. Efficient Compiler Autotuning via Bayesian Optimization.
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.
Tang, Wei, Wang, Yanlin, Zhang, Hongyu, Han, Shi, Luo, Ping, Zhang, Dongmei. Institute of Electrical and Electronics Engineers (IEEE); 2022. LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries.
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.
Gu, Xiaodong, Zhang, Hongyu, Kim, Sunghun. Institute of Electrical and Electronics Engineers (IEEE); 2019. CodeKernel: A Graph Kernel Based Approach to the Selection of API Usage Examples.
Li, Chi, Zhou, Min, Gu, Zuxing, Gu, Ming, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2019. Ares: Inferring error specifications through static analysis.
Wang, Weijing, Chen, Junjie, Yang, Lin, Zhang, Hongyu, Wang, Zan. Elsevier; 2023. Understanding and predicting incident mitigation time.
Kang, Yuning, Wang, Zan, Zhang, Hongyu, Chen, Junjie, You, Hanmo. Association for Computational Linguistics; 2021. APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model.
Gu, Xiaodong, Zhang, Hongyu, Zhang, Dongmei, Kim, Sunghun. Association for Computing Machinery (ACM); 2016. Deep API learning.
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.
Tao, Wei, Wang, Yanlin, Shi, Ensheng, Du, Lun, Han, Shi, Zhang, Hongyu, Zhang, Dongmei, Zhang, Wenqiang. Institute of Electrical and Electronics Engineers (IEEE); 2021. On the evaluation of commit message generation models: an experimental study.
Meng, Xiangxin, Wang, Xu, Zhang, Hongyu, Sun, Hailong, Liu, Xudong. Institute of Electrical and Electronics Engineers (IEEE); 2022. Improving Fault Localization and Program Repair with Deep Semantic Features and Transferred Knowledge.
Wu, Fei, Jing, Xiao-Yuan, Dong, Xiwei, Cao, Jicheng, Xu, Mingwei, Zhang, Hongyu, Ying, Shi, Xu, Baowen. Institute of Electrical and Electronics Engineers (IEEE); 2017. Cross-project and within-project semi-supervised software defect prediction problems study using a unified solution.
Lin, Jinkun, Cai, Shaowei, Luo, Chuan, Lin, Qingwei, Zhang, Hongyu. ACM; 2019. Towards More Efficient Meta-heuristic Algorithms for Combinatorial Test Generation.
Shu, Yangyang, Sui, Yulei, Zhang, Hongyu, Xu, Guandong. Association for Computing Machinery; 2020. Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning.
Gui, Yi, Wan, Yao, Zhang, Hongyu, Huang, Huifang, Sui, Yulei, Xu, Guandong, Shao, Zhiyuan, Jin, Hai. Institute of Electrical and Electronics Engineers (IEEE); 2022. Cross-Language Binary-Source Code Matching with Intermediate Representations.
Wu, Rongxin, Zhang, Hongyu, Kim, Sunghun, Cheung, S. C.. Association for Computing Machinery (ACM); 2011. ReLink: recovering links between bugs and changes.
Chen, Junjie, Hu, Wenxiang, Hao, Dan, Xiong, Yingfei, Zhang, Hongyu, Zhang, Lu, Xie, Bing. Association for Computer Machinery (ACM); 2016. An empirical comparison of compiler testing techniques.
Zhang, Bo, Zhang, Hongyu, Moscato, Pablo, Zhang, Aozhong. Institute of Electrical and Electronics Engineers (IEEE); 2020. Anomaly detection via mining numerical workflow relations from logs.
Gao, Yanjie, Liu, Yu, Zhang, Hongyu, Li, Zhengxian, Zhu, Yonghao, Lin, Haoxiang, Yang, Mao. Association for Computing Machinery; 2020. Estimating GPU memory consumption of deep learning models.
Gong, Liang, Lo, David, Jiang, Lingxiao, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2012. Interactive fault localization leveraging simple user feedback.
Chen, Zhuangbin, Liu, Jinyang, Su, Yuxin, Zhang, Hongyu, Wen, Xuemin, Ling, Xiao, Yang, Yongqiang, Lyu, Michael R.. Institute of Electrical and Electronics Engineers (IEEE); 2021. Graph-based Incident Aggregation for Large-Scale Online Service Systems.
Ha, Huong, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2019. Performance-Influence Model for Highly Configurable Software with Fourier Learning and Lasso Regression.
Gu, Wenchao, Li, Zongjie, Gao, Cuiyun, Wang, Chaozheng, Zhang, Hongyu, Xu, Zenglin, Lyu, Michael R.. Elsevier; 2021. CRaDLe: Deep code retrieval based on semantic dependency learning.
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.
Gu, Yongfeng, Xuan, Jifeng, Zhang, Hongyu, Zhang, Lanxin, Fan, Qingna, Xie, Xiaoyuan, Qian, Tieyun. Elsevier; 2019. Does the fault reside in a stack trace? Assisting crash localization by predicting crashing fault residence.
Zhou, Hucheng, Lou, Jian-Guang, Zhang, Hongyu, Lin, Haibo, Lin, Haoxiang, Qin, Tingting. Institute of Electrical and Electronics Engineers (IEEE); 2015. An empirical study on quality issues of production big data platform.
Qiao, Bo, Yang, Fangkai, Rajmohan, Saravanakumar, Zhang, Dongmei, Luo, Chuan, Wang, Yanan, Li, Johnny, Lin, Quinwei, Zhang, Hongyu, Datta, Mohit, Zhou, Andrew, Moscibroda, Thomas. ACM; 2021. Intelligent container reallocation at Microsoft 365.
Dang, Yingnong, Wu, Rongxin, Zhang, Hongyu, Zhang, Dongmei, Nobel, Peter. Institute of Electrical and Electronics Engineers (IEEE); 2012. ReBucket: a method for clustering duplicate crash reports based on call stack similarity.
Zhang, Bo, Zhang, Hongyu, Le, Van-Hoang, Moscato, Pablo, Zhang, Aozhong. Springer; 2023. Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs.
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, Zhenyu, Sun, Hailong, Zhang, Hongyu. Springer; 2020. Developer recommendation for Topcoder through a meta-learning based policy model.
Lyu, Chen, Wang, Ruyan, Zhang, Hongyu, Zhang, Hanwen, Hu, Songlin. Springer New York LLC; 2021. Embedding API dependency graph for neural code generation.
Wu, Rongxin, Zhang, Hongyu, Cheung, Shing-Chi, Kim, Sunghun. Association for Computing Machinery (ACM); 2014. CrashLocator: locating crashing faults based on crash stacks.
Li, Ming, Zhang, Hongyu, Wu, Rongxin, Zhou, Zhi-Hua. Springer US; 2012. Sample-based software defect prediction with active and semi-supervised learning.
Ha, Huong, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2019. DeepPerf: performance prediction for configurable software with deep sparse neural network.
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.
Alharbi, Fahad, Luo, Suhuai, Zhang, Hongyu, Shaukat, Kamran, Yang, Guang, Wheeler, Craig A., Chen, Zhiyong. MDPI AG; 2023. A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models.
Jiang, Jiajun, Xiong, Yingfei, Zhang, Hongyu, Gao, Qing, Chen, Xiangqun. Association for Computing Machinery (ACM); 2018. Shaping program repair space with existing patches and similar code.
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.
Gu, Wenchao, Wang, Yanlin, Du, Lun, Zhang, Hongyu, Han, Shi, Zhang, Dongmei, Lyu, Michael R.. Association for Computational Linguistics; 2022. Accelerating Code Search with Deep Hashing and Code Classification.
Wu, Di, Jing, Xiao-Yuan, Zhang, Hongyu, Li, Bing, Xie, Yu, Xu, Baowen. Springer; 2021. Generating API tags for tutorial fragments from stack overflow.
Chen, Junjie, Bai, Yanwei, Hao, Dan, Xiong, Yingfei, Zhang, Hongyu, Xie, Bing. Institute of Electrical and Electronics Engineers (IEEE); 2017. Learning to prioritize test programs for compiler testing.
Wu, Rongxin, Xiao, Xiao, Cheung, Shing-Chi, Zhang, Hongyu, Zhang, Charles. Association for Computing Machinery (ACM); 2016. Casper: an efficient approach to call trace collection.
Mirjalili, Seyedehzahra, Zhang, Hongyu, Mirjalili, Seyedali, Chalup, Stephan, Noman, Nasimul. Springer; 2020. A novel u-shaped transfer function for binary particle swarm optimisation.
Wang, Yawen, Wang, Junjie, Zhang, Hongyu, Ming, Xuran, Shi, Lin, Wang, Qing. Institute of Electrical and Electronics Engineers (IEEE); 2022. Where is Your App Frustrating Users?.
Chen, Junjie, Hu, Wenxiang, Hao, Dan, Xiong, Yingfei, Zhang, Hongyu, Zhang, Lu. Science China Press; 2019. Static duplicate bug-report identification for compilers.
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.
Zhang, Jian, Wang, Xu, Zhang, Hongyu, Sun, Hailong, Wang, Kaixuan, Liu, Xudong. Institute of Electrical and Electronics Engineers (IEEE); 2019. A Novel Neural Source Code Representation Based on Abstract Syntax Tree.
Wu, Di, Jing, Xiao-Yuan, Zhang, Hongyu, Zhou, Yuming, Xu, Baowen. Institute of Electrical and Electronics Engineers (IEEE); 2021. Leveraging Stack Overflow to Detect Relevant Tutorial Fragments of APIs.
Chen, Junjie, Wang, Guancheng, Hao, Dan, Xiong, Yingfei, Zhang, Hongyu, Zhang, Lu. Institute of Electrical and Electronics Engineers (IEEE); 2019. History-guided configuration diversification for compiler test-program generation.
Ding, Sun, Zhang, Hongyu, Tan, Hee Beng Kuan. Institute of Electrical and Electronics Engineers (IEEE); 2014. Detecting infeasible branches based on code patterns.
Qi, Binhang, Sun, Hailong, Gao, Xiang, Zhang, Hongyu. Association for Computing Machinery; 2022. Patching Weak Convolutional Neural Network Models through Modularization and Composition.
Wan, Yao, He, Yang, Yu, Philip S., Bi, Zhangqian, Zhang, Jianguo, Sui, Yulei, Zhang, Hongyu, Hashimoto, Kazuma, Jin, Hai, Xu, Guandong, Xiong, Caiming. Institute of Electrical and Electronics Engineers (IEEE); 2022. NaturalCC: An Open-Source Toolkit for Code Intelligence.
Gong, Liang, Lo, David, Jiang, Lingxiao, Zhang, Hongyu. Association for Computing Machinery (ACM); 2012. Diversity maximization speedup for fault localization.
Gu, Xiaodong, Zhang, Hongyu, Zhang, Dongmei, Kim, Sunghun. International Joint Conferences on Artificial Intelligence; 2017. DeepAM: migrate APIs with multi-modal sequence to sequence learning.
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.
Qi, Binhang, Sun, Hailong, Yuan, Wei, Zhang, Hongyu, Meng, Xiangxin. Institute of Electrical and Electronics Engineers (IEEE); 2022. DreamLoc: A Deep Relevance Matching-Based Framework for bug Localization.
Wang, Xiao, Wu, Qiong, Zhang, Hongyu, Lyu, Chen, Jiang, Xue, Zheng, Zhuoran, Lyu, Lei, Hu, Songlin. Institute of Electrical and Electronics Engineers (IEEE); 2022. HELoC: Hierarchical Contrastive Learning of Source Code Representation.
Shu, Chengxun, Zhang, Hongyu. AAAI Press; 2017. Neural Programming by Example.
Wan, Yao, Zhao, Wei, Zhang, Hongyu, Sui, Yulei, Xu, Guandong, Jin, Hai. Institute of Electrical and Electronics Engineers (IEEE); 2022. What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code.
Chen, Yujun, Zhang, Hongyu, Xu, Zhangwei, Dang, Yingnong, Yang, Xian, Lin, Qingwei, Zhang, Dongmei, Dong, Hang, Xu, Yong, Li, Hao, Kang, Yu, Gao, Feng. ACM; 2019. Outage Prediction and Diagnosis for Cloud Service Systems.
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.
Chai, Yitian, Zhang, Hongyu, Shen, Beijun, Gu, Xiaodong. Institute of Electrical and Electronics Engineers (IEEE); 2022. Cross-Domain Deep Code Search with Meta Learning.
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.
Wong, Chu-Pan, Xiong, Yingfei, Zhang, Hongyu, Hao, Dan, Zhang, Lu, Mei, Hong. Institute of Electrical and Electronics Engineers (IEEE); 2014. Boosting bug-report-oriented fault localization with segmentation and stack-trace analysis.
Zhou, Jian, Zhang, Hongyu. Association for Computing Machinery (ACM); 2012. Learning to rank duplicate bug reports.
Le, Van-Hoang, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2022. Log-based Anomaly Detection with Deep Learning: How Far Are We?.
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.
Wu, Di, Jing, Xiao-Yuan, Zhang, Hongyu, Zhou, Yuming, Xu, Baowen. Springer; 2023. Leveraging Stack Overflow to detect relevant tutorial fragments of APIs.
Zhang, Hongyu, Tan, Hee Beng Kuan, Zhang, Lu, Lin, Xi, Wang, Xiaoyin, Zhang, Chun, Mei, Hongen. Elsevier; 2011. Checking enforcement of integrity constraints in database applications based on code patterns.
Zhou, Jianyi, Li, Feng, Dong, Jinhao, Zhang, Hongyu, Hao, Dan. Institute of Electrical and Electronics Engineers (IEEE); 2020. Cost-effective testing of a deep learning model through input reduction.
Zhang, Bo, Zhang, Hongyu, Chen, Junjie, Hao, Dan, Moscato, Pablo. Institute of Electrical and Electronic Engineers (IEEE); 2019. Automatic Discovery and Cleansing of Numerical Metamorphic Relations.
Wang, Jue, Dang, Yingnong, Zhang, Hongyu, Chen, Kai, Xie, Tao, Zhang, Dongmei. Institute of Electrical and Electronics Engineers (IEEE); 2013. Mining succinct and high-coverage API usage patterns from source code.
Chen, Junjie, Patra, Jibesh, Pradel, Michael, Xiong, Yingfei, Zhang, Hongyu, Hao, Dan, Zhang, Lu. Association for Computing Machinery; 2020. A survey of compiler testing.
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.
Shi, Ensheng, Wang, Yanlin, Du, Lun, Chen, Junjie, Han, Shi, Zhang, Hongyu, Zhang, Dongmei, Sun, Hongbin. Institute of Electrical and Electronics Engineers (IEEE); 2022. On the Evaluation of Neural Code Summarization.
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.
Lv, Fei, Zhang, Hongyu, Lou, Jian-guang, Wang, Shaowei, Zhang, Dongmei, Zhao, Jianjun. Institute of Electrical and Electronics Engineers (IEEE); 2016. CodeHow: effective code search based on API understanding and extended Boolean model.
Luo, Chuan, Qiao, Bo, Xing, Wenqian, Chen, Xin, Zhao, Pu, Du, Chao, Yao, Randolph, Zhang, Hongyu, Wu, Wei, Shaowei, Cai, Bing, He, Saravanakumar, Rajmohan, Qingwei, Lin. AAAI Press; 2021. Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems.
Gu, Xiaodong, Zhang, Hongyu, Kim, Sunghun. Association for Computing Machinery; 2018. Deep code search.
Sun, Chengnian, Zhang, Haidong, Lou, Jian-Guang, Zhang, Hongyu, Wang, Qiang, Zhang, Dongmei, Khoo, Siau-Cheng. Association for Computing Machinery (ACM); 2014. Querying sequential software engineering data.
Zhang, Weiwei, Guo, Shengjian, Zhang, Hongyu, Sui, Yulei, Xue, Yinxing, Xu, Yun. Institute of Electrical and Electronics Engineers (IEEE); 2023. Challenging Machine Learning-Based Clone Detectors via Semantic-Preserving Code Transformations.
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.
Barbar, Mohamad, Sui, Yulei, Zhang, Hongyu, Chen, Shiping, Xue, Jingling. Springer; 2018. Live Path CFI Against Control Flow Hijacking Attacks.
Gao, Yanjie, Li, Zhengxian, Lin, Haoxiang, Zhang, Hongyu, Wu, Ming, Yang, Mao. Institute of Electrical and Electronics Engineers (IEEE); 2022. REFTY: Refinement Types for Valid Deep Learning Models.
Peters, Fayola, Menzies, Tim, Gong, Liang, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2013. Balancing privacy and utility in cross-company defect prediction.
Hao, Dan, Lan, Tian, Zhang, Hongyu, Guo, Chao, Zhang, Lu. Springer; 2013. Is this a bug or an obsolete test?.
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.