Objects
Zhou, Jian, Zhang, Hongyu. Association for Computing Machinery (ACM); 2012. Learning to rank duplicate bug reports.
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.
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.
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.
Xie, Yongzheng, Zhang, Hongyu, Babar, Muhammad Ali. Association for Computing Machinery; 2024. LogSD: Detecting anomalies from system logs through self-supervised learning and frequency-based masking.
Wu, Di, Jing, Xiao-Yuan, Zhang, Hongyu, Zhou, Yuming, Xu, Baowen. Springer; 2023. Leveraging Stack Overflow to detect relevant tutorial fragments of APIs.
Zhu, Jieming, He, Pinjia, Fu, Qiang, Zhang, Hongyu, Lyu, Michael R., Zhang, Dongmei. Institute of Electrical and Electronics Engineers; 2015. Learning to log: helping developers make informed logging decisions.
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.
Kim, Sunghun, Zhang, Hongyu, Wu, Rongxin, Gong, Liang. Association for Computing Machinery (ACM); 2011. Dealing with noise in defect prediction.
Barbar, Mohamad, Sui, Yulei, Zhang, Hongyu, Chen, Shiping, Xue, Jingling. Springer; 2018. Live Path CFI Against Control Flow Hijacking Attacks.
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.
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.
Zhou, Jian, Zhang, Hongyu, Lo, David. Institute of Electrical and Electronics Engineers (IEEE); 2012. Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports.
Zhang, Hongyu, Jain, Anuj, Khandelwal, Gaurav, Kaushik, Chandrashekhar, Ge, Scott, Hu, Wenxiang. Association for Computing Machinery (ACM); 2016. Bing developer assistant: improving developer productivity by recommending sample 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.
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.
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.
Shi, Ensheng, Wang, Yanlin, Tao, Wei, Du, Lun, Zhang, Hongyu, Han, Shi, Zhang, Dongmei, Sun, Hongbin. Association for Computational Linguistics; 2022. RACE: Retrieval-Augmented Commit Message Generation.
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.
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, Qiyuan, Cai, Shaowei, Zhang, Hongyu, Hu, Chunming. ACM; 2022. SamplingCA: effective and efficient sampling-based pairwise testing for highly configurable software systems.
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, 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.
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.
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, Di, Jing, Xiao-Yuan, Zhang, Hongyu, Feng, Yang, Chen, Haowen, Zhou, Yuming, Xu, Baowen. Association for Computing Machinery (ACM); 2023. Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries.
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.
Li, Xiaoyun, Zhang, Hongyu, Le, Van-Hoang, Chen, Pengfei. Association for Computing Machinery; 2024. LogShrink: Effective log compression by leveraging commonality and variability of log data.
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.
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.
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?.
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.
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.
Wu, Rongxin, Zhang, Hongyu, Cheung, Shing-Chi, Kim, Sunghun. Association for Computing Machinery (ACM); 2014. CrashLocator: locating crashing faults based on crash stacks.
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.
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.
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.
Wang, Chaozheng, Yang, Yuanhang, Gao, Cuiyun, Peng, Yun, Zhang, Hongyu, Lyu, Michael R.. ACM; 2022. No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence.
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.
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.
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.
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.
Hu, Hao, Zhang, Hongyu, Xuan, Jifeng, Sun, Weigang. Institute of Electrical and Electronics Engineers (IEEE); 2014. Effective bug triage based on historical bug-fix information.
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.
Zhang, Ru, Xiao, Wencong, Zhang, Hongyu, Liu, Yu, Lin, Haoxiang, Yang, Mao. Association for Computing Machinery; 2020. An empirical study on program failures of deep learning jobs.
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.
Xuan, Jifeng, Jiang, He, Zhang, Hongyu, Ren, Zhilei. Zhongguo Kexue Zazhishe / Science in China Press; 2017. Developer recommendation on bug commenting: a ranking approach for the developer crowd.
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.
Hao, Dan, Lan, Tian, Zhang, Hongyu, Guo, Chao, Zhang, Lu. Springer; 2013. Is this a bug or an obsolete test?.
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.
Wu, Rongxin, Zhang, Hongyu, Kim, Sunghun, Cheung, S. C.. Association for Computing Machinery (ACM); 2011. ReLink: recovering links between bugs and changes.
Li, Zhiqiang, Jing, Xiao-Yuan, Zhu, Xiaoke, Zhang, Hongyu, Xu, Baowen, Ying, Shi. Institute of Electrical and Electronics Engineers (IEEE); 2019. On the multiple sources and privacy preservation issues for heterogeneous defect prediction.
Xia, Xin, Gong, Liang, Le, Tien-Duy B., Lo, David, Jiang, Lingxiao, Zhang, Hongyu. Springer US; 2016. Diversity maximization speedup for localizing faults in single-fault and multi-fault programs.
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.
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.
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.
Xie, Yongzheng, Zhang, Hongyu, Babar, Muhammad Ali. Institute of Electrical and Electronics Engineers (IEEE); 2022. LogGD: Detecting Anomalies from System Logs with Graph Neural Networks.
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.
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.
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.
Ding, Sun, Zhang, Hongyu, Tan, Hee Beng Kuan. Institute of Electrical and Electronics Engineers (IEEE); 2014. Detecting infeasible branches based on code patterns.
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.
Mirjalili, Seyedeh Zahra, Mirjalili, Seyedali, Zhang, Hongyu, Chalup, Stephan, Noman, Naismul. Elsevier; 2019. Improving the reliability of implicit averaging methods using new conditional operators for robust optimization.
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.
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.
Xie, Yongzheng, Zhang, Hongyu, Zhang, Bo, Babar, Muhammad Ali, Lu, Sha. Springer; 2021. LogDP: Combining Dependency and Proximity for Log-Based Anomaly Detection.
Gong, Liang, Lo, David, Jiang, Lingxiao, Zhang, Hongyu. Association for Computing Machinery (ACM); 2012. Diversity maximization speedup for fault localization.
Li, Zhiqiang, Zhang, Hongyu, Jing, Xiao-Yuan, Xie, Juanying, Guo, Min, Ren, Jie. Institute of Electrical and Electronics Engineers (IEEE); 2023. DSSDPP: Data Selection and Sampling Based Domain Programming Predictor for Cross-Project Defect Prediction.
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.
Liu, Yueyue, Zhang, Hongyu, Le, Van-Hoang, Miao, Yuantian, Li, Zhiqiang. ACM; 2024. Local search-based approach for cost-effective job assignment on large language models.
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.
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.
Chai, Yitian, Zhang, Hongyu, Shen, Beijun, Gu, Xiaodong. Institute of Electrical and Electronics Engineers (IEEE); 2022. Cross-Domain Deep Code Search with Meta Learning.
Zhang, Zhenyu, Sun, Hailong, Zhang, Hongyu. Springer; 2020. Developer recommendation for Topcoder through a meta-learning based policy model.
Wang, Chaozheng, Yang, Yuanhang, Gao, Cuiyun, Peng, Yun, Zhang, Hongyu, Lyu, Michael R.. Institute of Electrical and Electronics Engineers (IEEE); 2023. Prompt Tuning in Code Intelligence: An Experimental Evaluation.
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.
Le, Van-Hoang, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2023. Log Parsing with Prompt-based Few-shot Learning.
Zhang, Jian, Wang, Xu, Zhang, Hongyu, Sun, Hailong, Liu, Xudong. Association for Computing Machinery (ACM); 2020. Retrieval-based neural source code summarization.
Li, Zhiqiang, Jing, Xiao-Yuan, Zhu, Xiaoke, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2017. Heterogeneous defect prediction through multiple kernel learning and ensemble learning.
Song, Xiaotao, Yan, Jiafei, Huang, Yuexin, Sun, Hailong, Zhang, Hongyu. Institute of Electrical and Electronic Engineers (IEEE); 2022. A Collaboration-Aware Approach to Profiling Developer Expertise with Cross-Community Data.
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.
Wu, Di, Jing, Xiao-Yuan, Zhang, Hongyu, Li, Bing, Xie, Yu, Xu, Baowen. Springer; 2021. Generating API tags for tutorial fragments from stack overflow.
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.
Shi, Ensheng, Wang, Yanlin, Du, Lun, Zhang, Hongyu, Han, Shi, Zhang, Dongmei, Sun, Hongbin. Association for Computational Linguistics; 2021. CAST: enhancing code summarization with hierarchical splitting and reconstruction of abstract syntax trees.
Chen, Junjie, Xu, Ningxin, Chen, Peiqi, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2021. Efficient Compiler Autotuning via Bayesian Optimization.
Zhang, Jian, Wang, Xu, Zhang, Hongyu, Sun, Hailong, Pu, Yanjun, Liu, Xudong. Association for Computing Machinery (ACM); 2020. Learning to handle exceptions.
Le, Van-Hoang, Zhang, Hongyu. Institute of Electrical and Electronics Engineers (IEEE); 2021. Log-based Anomaly Detection Without Log Parsing.
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.
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.
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.
Lyu, Chen, Wang, Ruyan, Zhang, Hongyu, Zhang, Hanwen, Hu, Songlin. Springer New York LLC; 2021. Embedding API dependency graph for neural code generation.
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.
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.
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.
Gao, Yanjie, Zhu, Yonghao, Zhang, Hongyu, Lin, Haoxiang, Yang, Mao. Institute of Electrical and Electronics Engineers (IEEE); 2021. Resource-Guided Configuration Space Reduction for Deep Learning Models.
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.
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?.
Shu, Yangyang, Sui, Yulei, Zhang, Hongyu, Xu, Guandong. Association for Computing Machinery; 2020. Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning.
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.
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.