Xu jincheng, Qingfeng Du*. Adversarial attacks on text classification models using layer-wise relevance propagation[J]. International Journal of Intelligent Systems, 2020, 35(9): 1397-1415.
Xu jincheng, Qingfeng Du*. TextTricker: Loss-based and gradient-based adversarial attacks on text classification models[J]. Engineering Applications of Artificial Intelligence, 2020, 92: 103641.
Xu jincheng, Qingfeng Du*. Learning transferable features in meta-learning for few-shot text classification[J]. Pattern Recognition Letters, 2020, 135: 271-278.
Xu jincheng, Qingfeng Du*. Learning neural networks for text classification by exploiting label relations[J]. Multimedia Tools and Applications, 2020, 79: 22551-22567.
Xu jincheng, Qingfeng Du*. On the Interpretation of Convolutional Neural Networks for Text Classification[C]//24th European Conference on Artificial Intelligence. IOS Press BV, 2020: 2252-2259.
Xu jincheng, Qingfeng Du*. A Deep Investigation into fastText[C]//2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2019: 1714-1719.
Ni yiwei, Qingfeng Du*, Xu jincheng. Document-Improved Hierarchical Modular Attention for Event Detection[C]//International Conference on Knowledge Science, Engineering and Management. Springer, Cham, 2020: 325-335.
Qingzhi S., Qingfeng Du*, Chenxi Z., et al. Chinese News Event Corpus Construction Method Based on Syntax Tree[C]//Proceedings of the 2020 3rd International Conference on Big Data Technologies. 2020: 20-25.
Qiu Juan, Qingfeng Du*, Qian Chongshu. KPI-TSAD: A Time-Series Anomaly Detector for KPI Monitoring in Cloud Applications. SYMMETRY-BASEL. NOV 2019, 11(11): 1350.
Yin K, Qingfeng Du*, Qiu Juan. Analyse resilience risks in microservice architecture systems with causality search and inference algorithms[J]. International Journal of Web and Grid Services, 2020, 16(2): 147-171.
Qiu Juan, Qingfeng Du*, Yin K., et al. A causality mining and knowledge graph based method of root cause diagnosis for performance anomaly in cloud applications[J]. Applied Sciences, 2020, 10(6): 2166.
Qingfeng Du, Ruolin H., Guo K., et al. A Resilience Test Case Design Method for Network Function Virtualization Platforms[C]. 2018 12th International Conference on Reliability, Maintainability, and Safety (ICRMS). IEEE, 2018: 208-217.
Qiu Juan, Qingfeng Du*, He Y., et al. Performance Anomaly Detection Models of Virtual Machines for Network Function Virtualization Infrastructure with Machine Learning[C]. International Conference on Artificial Neural Networks. Springer, Cham, 2018: 479-488.
Liu Jiaqi, Qingfeng Du*, Xu Jincheng. A Learning-Based Adjustment Model with Genetic Algorithm of Function Point Estimation.20th IEEE International Conference on High Performance Computing and Communications (HPCC). Exeter, ENGLAND. 2018: 51-58.
Qingfeng Du, Ni Z., Zhu R., et al. A Service-Based Testing Framework for NFV Platform Performance Evaluation[C]. 2018 12th International Conference on Reliability, Maintainability, and Safety (ICRMS). IEEE, 2018: 254-261.
Qingfeng Du, Huan L., Kanglin Y., et al. VM Reliability Modeling and Analysis for IaaS Could[C]. 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2017: 258-265.
Qingfeng Du, Yue T., Tiandi X., et al. A Method of Building Fault Repository for Cloud Infrastructure[C]. 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2017: 220-228.
Qiu Juan, Qingfeng Du*, Wang W., et al. Topic Crawler for OpenStack QA Knowledge Base[C]. 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2017: 309-317.
Zhang T, Qingfeng Du*, Xu J., et al. Software Defect Prediction and Localization with Attention-Based Models and Ensemble Learning[C]//the 27th Asia-Pacific Software Engineering Conference. IEEE, 2020.
Qingfeng Du, Xie T., He Y.. Anomaly Detection and Diagnosis for Container-Based Microservices with Performance Monitoring[C]. International Conference on Algorithms and Architectures for Parallel Processing. Springer, Cham, 2018: 560-572.
Li, Jiechu, Qingfeng Du*, et al. Helpful or not?an investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF.SEKE 2018: 30th International Conference on Software Engineering and Knowledge Engineering. Redwood City, San Francisco Bay, Califor. 2018:175-181.
Qingfeng Du, Qiu Juan, Yin K., et al. High availability verification framework for OpenStack based on fault injection[C]. 2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS). IEEE, 2016: 1-7.
Qingfeng Du, He Y., Xie T., et al. An Approach of Collecting Performance Anomaly Dataset for NFV Infrastructure[C]. International Conference on Algorithms and Architectures for Parallel Processing. Springer, Cham, 2018: 59-71.