Qingfeng Du

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 35

Top Topics

Text Classification

Root Cause Analysis

Convolutional Neural Networks

Virtual Machine

Top Venues

Publications

Ying Huang, Qingfeng Du, Yongqi Han, Cheng He, Fulong Tian
Semi-Supervised Metrics-Based Self-Training Root Cause Analysis for Cloud-Native Systems with Class-Imbalanced Data. ICASSP (2024)
Pengsheng Li, Qingfeng Du, Shengjie Zhao, Pei Fang
Advancing Root Cause Analysis in Cloud-native System with Knowledge Graph Path Embedding Translation. CSCWD (2024)
Pengsheng Li, Qingfeng Du, Shengjie Zhao
KEWS: A KPIs-Based Evaluation Framework of Workload Simulation On Microservice System. CSCWD (2024)
Pengsheng Li, Qingfeng Du, Shengjie Zhao
KEWS: A Method Evaluation of Workload Simulation based on KPIs. CoRR (2023)
Qingfeng Du, Liang Zhao, Fulong Tian, Yongqi Han
Trace-Based Anomaly Detection with Contextual Sequential Invocations. DEXA (2) (2023)
Xiaonan Shi, Rui Li, Qingfeng Du, Cheng He, Fulong Tian
LogFold: Enhancing Log Anomaly Detection Through Sequence Folding and Reconstruction. APSEC (2023)
Yongqi Han, Qingfeng Du, Jincheng Xu, Shengjie Zhao, Zhekang Chen, Li Cao, Kanglin Yin, Dan Pei
LWS: A framework for log-based workload simulation in session-based SUT. J. Syst. Softw. 203 (2023)
Yongqi Han, Qingfeng Du, Jincheng Xu, Shengjie Zhao, Zhekang Chen, Li Cao, Kanglin Yin, Dan Pei
LWS: A Framework for Log-based Workload Simulation in Session-based SUT. CoRR (2023)
Jincheng Xu, Qingfeng Du, Xiaojun Li
A Requirement-based Regression Test Selection Technique in Behavior-Driven Development. COMPSAC (2021)
Qingfeng Du, Liang Zhao, Jincheng Xu, Yongqi Han, Shuangli Zhang
Log-Based Anomaly Detection with Multi-Head Scaled Dot-Product Attention Mechanism. DEXA (1) (2021)
Kanglin Yin, Qingfeng Du
On Representing Resilience Requirements of Microservice Architecture Systems. Int. J. Softw. Eng. Knowl. Eng. 31 (6) (2021)
Qingfeng Du, Jincheng Xu
Model-Agnostic Local Explanations with Genetic Algorithms for Text Classification. SEKE (2021)
Shuangli Zhang, Qingfeng Du, Sicheng Zhao
Predicting Cutterhead Torque for TBM based on Different Characteristics and AGA-Optimized LSTM-MLP. SMC (2021)
Qingfeng Du, Jincheng Xu
Towards a Better Understanding of Gradient-Based Explanatory Methods in NLP. SEKE (2021)
Tianhang Zhang, Qingfeng Du, Jincheng Xu, Jiechu Li, Xiaojun Li
Software Defect Prediction and Localization with Attention-Based Models and Ensemble Learning. APSEC (2020)
Jincheng Xu, Qingfeng Du
Learning neural networks for text classification by exploiting label relations. Multim. Tools Appl. 79 (31-32) (2020)
Jincheng Xu, Qingfeng Du
On the Interpretation of Convolutional Neural Networks for Text Classification. ECAI (2020)
Kanglin Yin, Qingfeng Du, Juan Qiu
Analyse resilience risks in microservice architecture systems with causality search and inference algorithms. Int. J. Web Grid Serv. 16 (2) (2020)
Jincheng Xu, Qingfeng Du
Learning transferable features in meta-learning for few-shot text classification. Pattern Recognit. Lett. 135 (2020)
Yiwei Ni, Qingfeng Du, Jincheng Xu
Document-Improved Hierarchical Modular Attention for Event Detection. KSEM (2) (2020)
Jincheng Xu, Qingfeng Du
Adversarial attacks on text classification models using layer-wise relevance propagation. Int. J. Intell. Syst. 35 (9) (2020)
Jincheng Xu, Qingfeng Du
TextTricker: Loss-based and gradient-based adversarial attacks on text classification models. Eng. Appl. Artif. Intell. 92 (2020)
Qingzhi Sun, Qingfeng Du, Chenxi Zhang, Jun Li
Chinese News Event Corpus Construction Method Based on Syntax Tree. ICBDT (2020)
Jincheng Xu, Qingfeng Du
A Deep Investigation into fastText. HPCC/SmartCity/DSS (2019)
Kanglin Yin, Qingfeng Du, Wei Wang, Juan Qiu, Jincheng Xu
On Representing and Eliciting Resilience Requirements of Microservice Architecture Systems. CoRR (2019)
Juan Qiu, Qingfeng Du, Chongshu Qian
KPI-TSAD: A Time-Series Anomaly Detector for KPI Monitoring in Cloud Applications. Symmetry 11 (11) (2019)
Juan Qiu, Qingfeng Du, Wei Wang, Kanglin Yin, Liang Chen
Short-Term Performance Metrics Forecasting for Virtual Machine to Support Anomaly Detection Using Hybrid ARIMA-WNN Model. COMPSAC (2) (2019)
Juan Qiu, Qingfeng Du, Yu He, YiQun Lin, Jiaye Zhu, Kanglin Yin
Performance Anomaly Detection Models of Virtual Machines for Network Function Virtualization Infrastructure with Machine Learning. ICANN (2) (2018)
Qingfeng Du, Tiandi Xie, Yu He
Anomaly Detection and Diagnosis for Container-Based Microservices with Performance Monitoring. ICA3PP (4) (2018)
Jiaqi Liu, Qingfeng Du, Jincheng Xu
A Learning-Based Adjustment Model with Genetic Algorithm of Function Point Estimation. HPCC/SmartCity/DSS (2018)
Jiechu Li, Qingfeng Du, Kun Shi, Yu He, Xin Wang, Jincheng Xu
Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF. SEKE (2018)
Qingfeng Du, Yu He, Tiandi Xie, Kanglin Yin, Juan Qiu
An Approach of Collecting Performance Anomaly Dataset for NFV Infrastructure. ICA3PP (3) (2018)
Qingfeng Du, Huan Li, Kanglin Yin, Juan Qiu
VM Reliability Modeling and Analysis for IaaS Could. CyberC (2017)
Qingfeng Du, Yue Tian, Tiandi Xie, Kanglin Yin, Juan Qiu
A Method of Building Fault Repository for Cloud Infrastructure. CyberC (2017)
Juan Qiu, Qingfeng Du, Wei Wang, Kanglin Yin, Changsheng Lin, Chongshu Qian
Topic Crawler for OpenStack QA Knowledge Base. CyberC (2017)
Quan Zu, Miaomiao Zhang, Jing Liu, Qingfeng Du
Designing, Modelling and Verifying a Container Terminal System Using UPPAAL. HASE (2008)