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Qingfeng Du
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2020 – today
- 2024
- [c25]Pengsheng Li, Qingfeng Du, Shengjie Zhao:
KEWS: A KPIs-Based Evaluation Framework of Workload Simulation On Microservice System. CSCWD 2024: 1146-1152 - [c24]Pengsheng Li, Qingfeng Du, Shengjie Zhao, Pei Fang:
Advancing Root Cause Analysis in Cloud-native System with Knowledge Graph Path Embedding Translation. CSCWD 2024: 3134-3139 - [c23]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: 6405-6409 - 2023
- [j8]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: 111735 (2023) - [c22]Xiaonan Shi, Rui Li, Qingfeng Du, Cheng He, Fulong Tian:
LogFold: Enhancing Log Anomaly Detection Through Sequence Folding and Reconstruction. APSEC 2023: 181-190 - [c21]Qingfeng Du, Liang Zhao, Fulong Tian, Yongqi Han:
Trace-Based Anomaly Detection with Contextual Sequential Invocations. DEXA (2) 2023: 113-118 - [i3]Pengsheng Li, Qingfeng Du, Shengjie Zhao:
KEWS: A Evaluation Method of Workload Simulation based on KPIs. CoRR abs/2301.06530 (2023) - [i2]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 abs/2301.08851 (2023) - 2021
- [j7]Kanglin Yin, Qingfeng Du:
On Representing Resilience Requirements of Microservice Architecture Systems. Int. J. Softw. Eng. Knowl. Eng. 31(6): 863-888 (2021) - [c20]Jincheng Xu, Qingfeng Du, Xiaojun Li:
A Requirement-based Regression Test Selection Technique in Behavior-Driven Development. COMPSAC 2021: 1303-1308 - [c19]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: 335-347 - [c18]Qingfeng Du, Jincheng Xu:
Model-Agnostic Local Explanations with Genetic Algorithms for Text Classification. SEKE 2021: 570-575 - [c17]Qingfeng Du, Jincheng Xu:
Towards a Better Understanding of Gradient-Based Explanatory Methods in NLP. SEKE 2021: 576-581 - [c16]Shuangli Zhang, Qingfeng Du, Sicheng Zhao
Predicting Cutterhead Torque for TBM based on Different Characteristics and AGA-Optimized LSTM-MLP. SMC 2021: 1165-1171 - 2020
- [j6]Jincheng Xu, Qingfeng Du:
TextTricker: Loss-based and gradient-based adversarial attacks on text classification models. Eng. Appl. Artif. Intell. 92: 103641 (2020) - [j5]Jincheng Xu, Qingfeng Du:
Adversarial attacks on text classification models using layer-wise relevance propagation. Int. J. Intell. Syst. 35(9): 1397-1415 (2020) - [j4]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): 147-171 (2020) - [j3]Jincheng Xu
Learning neural networks for text classification by exploiting label relations. Multim. Tools Appl. 79(31-32): 22551-22567 (2020) - [j2]Jincheng Xu
Learning transferable features in meta-learning for few-shot text classification. Pattern Recognit. Lett. 135: 271-278 (2020) - [c15]Tianhang Zhang, Qingfeng Du, Jincheng Xu, Jiechu Li, Xiaojun Li
Software Defect Prediction and Localization with Attention-Based Models and Ensemble Learning. APSEC 2020: 81-90 - [c14]Jincheng Xu, Qingfeng Du:
On the Interpretation of Convolutional Neural Networks for Text Classification. ECAI 2020: 2252-2259 - [c13]Qingzhi Sun, Qingfeng Du, Chenxi Zhang, Jun Li:
Chinese News Event Corpus Construction Method Based on Syntax Tree. ICBDT 2020: 20-25 - [c12]Yiwei Ni
Document-Improved Hierarchical Modular Attention for Event Detection. KSEM (2) 2020: 325-335
2010 – 2019
- 2019
- [j1]Juan Qiu, Qingfeng Du, Chongshu Qian:
KPI-TSAD: A Time-Series Anomaly Detector for KPI Monitoring in Cloud Applications. Symmetry 11(11): 1350 (2019) - [c11]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: 330-335 - [c10]Jincheng Xu, Qingfeng Du:
A Deep Investigation into fastText. HPCC/SmartCity/DSS 2019: 1714-1719 - [i1]Kanglin Yin, Qingfeng Du, Wei Wang, Juan Qiu, Jincheng Xu:
On Representing and Eliciting Resilience Requirements of Microservice Architecture Systems. CoRR abs/1909.13096 (2019) - 2018
- [c9]Jiaqi Liu, Qingfeng Du, Jincheng Xu:
A Learning-Based Adjustment Model with Genetic Algorithm of Function Point Estimation. HPCC/SmartCity/DSS 2018: 51-58 - [c8]Qingfeng Du, Yu He, Tiandi Xie, Kanglin Yin, Juan Qiu:
An Approach of Collecting Performance Anomaly Dataset for NFV Infrastructure. ICA3PP (3) 2018: 59-71 - [c7]Qingfeng Du, Tiandi Xie, Yu He:
Anomaly Detection and Diagnosis for Container-Based Microservices with Performance Monitoring. ICA3PP (4) 2018: 560-572 - [c6]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: 479-488 - [c5]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: 175-174 - 2017
- [c4]Qingfeng Du, Yue Tian, Tiandi Xie, Kanglin Yin, Juan Qiu:
A Method of Building Fault Repository for Cloud Infrastructure. CyberC 2017: 220-228 - [c3]Qingfeng Du, Huan Li, Kanglin Yin, Juan Qiu:
VM Reliability Modeling and Analysis for IaaS Could. CyberC 2017: 258-265 - [c2]Juan Qiu, Qingfeng Du, Wei Wang, Kanglin Yin, Changsheng Lin, Chongshu Qian:
Topic Crawler for OpenStack QA Knowledge Base. CyberC 2017: 309-317
2000 – 2009
- 2008
- [c1]Quan Zu, Miaomiao Zhang, Jing Liu, Qingfeng Du:
Designing, Modelling and Verifying a Container Terminal System Using UPPAAL. HASE 2008: 445-448
Coauthor Index
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last updated on 2024-08-07 22:29 CEST by the dblp team
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