Qingfeng Du

According to our database, Qingfeng Du authored at least 35 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semi-Supervised Metrics-Based Self-Training Root Cause Analysis for Cloud-Native Systems with Class-Imbalanced Data.

Ying Huang, Qingfeng Du, Yongqi Han, Cheng He, Fulong Tian

Proceedings of the IEEE International Conference on Acoustics, 2024

Advancing Root Cause Analysis in Cloud-native System with Knowledge Graph Path Embedding Translation.

Pengsheng Li, Qingfeng Du, Shengjie Zhao, Pei Fang

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

KEWS: A KPIs-Based Evaluation Framework of Workload Simulation On Microservice System.

Pengsheng Li, Qingfeng Du, Shengjie Zhao

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

LWS: A framework for log-based workload simulation in session-based SUT.

Yongqi Han, Qingfeng Du, Jincheng Xu, Shengjie Zhao, Zhekang Chen, Li Cao, Kanglin Yin, Dan Pei

J. Syst. Softw., September, 2023

KEWS: A Evaluation Method of Workload Simulation based on KPIs.

Pengsheng Li, Qingfeng Du, Shengjie Zhao

CoRR, 2023

Trace-Based Anomaly Detection with Contextual Sequential Invocations.

Qingfeng Du, Liang Zhao, Fulong Tian, Yongqi Han

Proceedings of the Database and Expert Systems Applications, 2023

LogFold: Enhancing Log Anomaly Detection Through Sequence Folding and Reconstruction.

Xiaonan Shi, Rui Li, Qingfeng Du, Cheng He, Fulong Tian

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2021

On Representing Resilience Requirements of Microservice Architecture Systems.

Kanglin Yin, Qingfeng Du

Int. J. Softw. Eng. Knowl. Eng., 2021

Predicting Cutterhead Torque for TBM based on Different Characteristics and AGA-Optimized LSTM-MLP.

Shuangli Zhang, Qingfeng Du, Sicheng Zhao

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Towards a Better Understanding of Gradient-Based Explanatory Methods in NLP.

Qingfeng Du, Jincheng Xu

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

Model-Agnostic Local Explanations with Genetic Algorithms for Text Classification.

Qingfeng Du, Jincheng Xu

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

Log-Based Anomaly Detection with Multi-Head Scaled Dot-Product Attention Mechanism.

Qingfeng Du, Liang Zhao, Jincheng Xu, Yongqi Han, Shuangli Zhang

Proceedings of the Database and Expert Systems Applications, 2021

A Requirement-based Regression Test Selection Technique in Behavior-Driven Development.

Jincheng Xu, Qingfeng Du, Xiaojun Li

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

Learning transferable features in meta-learning for few-shot text classification.

Jincheng Xu, Qingfeng Du

Pattern Recognit. Lett., 2020

Learning neural networks for text classification by exploiting label relations.

Jincheng Xu, Qingfeng Du

Multim. Tools Appl., 2020

Analyse resilience risks in microservice architecture systems with causality search and inference algorithms.

Kanglin Yin, Qingfeng Du, Juan Qiu

Int. J. Web Grid Serv., 2020

Adversarial attacks on text classification models using layer-wise relevance propagation.

Jincheng Xu, Qingfeng Du

Int. J. Intell. Syst., 2020

TextTricker: Loss-based and gradient-based adversarial attacks on text classification models.

Jincheng Xu, Qingfeng Du

Eng. Appl. Artif. Intell., 2020

Document-Improved Hierarchical Modular Attention for Event Detection.

Yiwei Ni, Qingfeng Du, Jincheng Xu

Proceedings of the Knowledge Science, Engineering and Management, 2020

Chinese News Event Corpus Construction Method Based on Syntax Tree.

Qingzhi Sun, Qingfeng Du, Chenxi Zhang, Jun Li

Proceedings of the ICBDT 2020: 3rd International Conference on Big Data Technologies, 2020

On the Interpretation of Convolutional Neural Networks for Text Classification.

Jincheng Xu, Qingfeng Du

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Software Defect Prediction and Localization with Attention-Based Models and Ensemble Learning.

Tianhang Zhang, Qingfeng Du, Jincheng Xu, Jiechu Li, Xiaojun Li

Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019

KPI-TSAD: A Time-Series Anomaly Detector for KPI Monitoring in Cloud Applications.

Juan Qiu, Qingfeng Du, Chongshu Qian

Symmetry, 2019

On Representing and Eliciting Resilience Requirements of Microservice Architecture Systems.

Kanglin Yin, Qingfeng Du, Wei Wang, Juan Qiu, Jincheng Xu

CoRR, 2019

A Deep Investigation into fastText.

Jincheng Xu, Qingfeng Du

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Short-Term Performance Metrics Forecasting for Virtual Machine to Support Anomaly Detection Using Hybrid ARIMA-WNN Model.

Juan Qiu, Qingfeng Du, Wei Wang, Kanglin Yin, Liang Chen

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018

Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF.

Jiechu Li, Qingfeng Du, Kun Shi, Yu He, Xin Wang, Jincheng Xu

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

Performance Anomaly Detection Models of Virtual Machines for Network Function Virtualization Infrastructure with Machine Learning.

Juan Qiu, Qingfeng Du, Yu He, YiQun Lin, Jiaye Zhu, Kanglin Yin

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Anomaly Detection and Diagnosis for Container-Based Microservices with Performance Monitoring.

Qingfeng Du, Tiandi Xie, Yu He

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

An Approach of Collecting Performance Anomaly Dataset for NFV Infrastructure.

Qingfeng Du, Yu He, Tiandi Xie, Kanglin Yin, Juan Qiu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

A Learning-Based Adjustment Model with Genetic Algorithm of Function Point Estimation.

Jiaqi Liu, Qingfeng Du, Jincheng Xu

Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2017

Topic Crawler for OpenStack QA Knowledge Base.

Juan Qiu, Qingfeng Du, Wei Wang, Kanglin Yin, Changsheng Lin, Chongshu Qian

Proceedings of the 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2017

A Method of Building Fault Repository for Cloud Infrastructure.

Qingfeng Du, Yue Tian, Tiandi Xie, Kanglin Yin, Juan Qiu

Proceedings of the 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2017

VM Reliability Modeling and Analysis for IaaS Could.

Qingfeng Du, Huan Li, Kanglin Yin, Juan Qiu

Proceedings of the 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2017

2008

Designing, Modelling and Verifying a Container Terminal System Using UPPAAL.

Quan Zu, Miaomiao Zhang, Jing Liu, Qingfeng Du

Proceedings of the 11th IEEE High Assurance Systems Engineering Symposium, 2008