Qingfeng Du - researchr alias

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Viewing Publication 1 - 30 from 30

2023

2021

Model-Agnostic Local Explanations with Genetic Algorithms for Text ClassificationQingfeng Du, Jincheng Xu. seke 2021: 570-575 [doi]

Towards a Better Understanding of Gradient-Based Explanatory Methods in NLPQingfeng Du, Jincheng Xu. seke 2021: 576-581 [doi]

Log-Based Anomaly Detection with Multi-Head Scaled Dot-Product Attention MechanismQingfeng Du, Liang Zhao, Jincheng Xu, Yongqi Han, Shuangli Zhang. DEXA 2021: 335-347 [doi]

A Requirement-based Regression Test Selection Technique in Behavior-Driven DevelopmentJincheng Xu, Qingfeng Du, Xiaojun Li. compsac 2021: 1303-1308 [doi]

On Representing Resilience Requirements of Microservice Architecture SystemsKanglin Yin, Qingfeng Du. ijseke, 31(6):863-888, 2021. [doi]

Predicting Cutterhead Torque for TBM based on Different Characteristics and AGA-Optimized LSTM-MLPShuangli Zhang, Qingfeng Du, Sicheng Zhao. SMC 2021: 1165-1171 [doi]

2020

Document-Improved Hierarchical Modular Attention for Event DetectionYiwei Ni, Qingfeng Du, Jincheng Xu. ksem 2020: 325-335 [doi]

Chinese News Event Corpus Construction Method Based on Syntax TreeQingzhi Sun, Qingfeng Du, Chenxi Zhang, Jun Li. icbdt 2020: 20-25 [doi]

On the Interpretation of Convolutional Neural Networks for Text ClassificationJincheng Xu, Qingfeng Du. ecai 2020: 2252-2259 [doi]

TextTricker: Loss-based and gradient-based adversarial attacks on text classification modelsJincheng Xu, Qingfeng Du. eaai, 92:103641, 2020. [doi]

Learning transferable features in meta-learning for few-shot text classificationJincheng Xu, Qingfeng Du. prl, 135:271-278, 2020. [doi]

Adversarial attacks on text classification models using layer-wise relevance propagationJincheng Xu, Qingfeng Du. ijis, 35(9):1397-1415, 2020. [doi]

Learning neural networks for text classification by exploiting label relationsJincheng Xu, Qingfeng Du. mta, 79(31-32):22551-22567, 2020. [doi]

Analyse resilience risks in microservice architecture systems with causality search and inference algorithmsKanglin Yin, Qingfeng Du, Juan Qiu. ijwgs, 16(2):147-171, 2020. [doi]

Software Defect Prediction and Localization with Attention-Based Models and Ensemble LearningTianhang Zhang, Qingfeng Du, Jincheng Xu, Jiechu Li, Xiaojun Li. apsec 2020: 81-90 [doi]

2019

KPI-TSAD: A Time-Series Anomaly Detector for KPI Monitoring in Cloud ApplicationsJuan Qiu, Qingfeng Du, Chongshu Qian. symmetry, 11(11):1350, 2019. [doi]

Short-Term Performance Metrics Forecasting for Virtual Machine to Support Anomaly Detection Using Hybrid ARIMA-WNN ModelJuan Qiu, Qingfeng Du, Wei Wang, Kanglin Yin, Liang Chen. compsac 2019: 330-335 [doi]

A Deep Investigation into fastTextJincheng Xu, Qingfeng Du. hpcc 2019: 1714-1719 [doi]

2018

Anomaly Detection and Diagnosis for Container-Based Microservices with Performance MonitoringQingfeng Du, Tiandi Xie, Yu He. ica3pp 2018: 560-572 [doi]

An Approach of Collecting Performance Anomaly Dataset for NFV InfrastructureQingfeng Du, Yu He, Tiandi Xie, Kanglin Yin, Juan Qiu. ica3pp 2018: 59-71 [doi]

Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRFJiechu Li, Qingfeng Du, Kun Shi, Yu He, Xin Wang, Jincheng Xu. seke 2018: 175-174 [doi]

A Learning-Based Adjustment Model with Genetic Algorithm of Function Point EstimationJiaqi Liu, Qingfeng Du, Jincheng Xu. hpcc 2018: 51-58 [doi]

Performance Anomaly Detection Models of Virtual Machines for Network Function Virtualization Infrastructure with Machine LearningJuan Qiu, Qingfeng Du, Yu He, Yiqun Lin, Jiaye Zhu, Kanglin Yin. icann 2018: 479-488 [doi]

2017

2008

Designing, Modelling and Verifying a Container Terminal System Using UPPAALQuan Zu, Miaomiao Zhang, Jing Liu, Qingfeng Du. hase 2008: 445-448 [doi]

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