Designing, Modelling and Verifying a Container Terminal System Using UPPAAL. - Quan Zu; Miaomiao Zhang 003; Jing Liu 012; Qingfeng Du (HASE, 2008)

VM Reliability Modeling and Analysis for IaaS Could. - Qingfeng Du; Huan Li; Kanglin Yin; Juan Qiu (CyberC, 2017)

A Method of Building Fault Repository for Cloud Infrastructure. - Qingfeng Du; Yue Tian; Tiandi Xie; Kanglin Yin; Juan Qiu (CyberC, 2017)

Topic Crawler for OpenStack QA Knowledge Base. - Juan Qiu; Qingfeng Du; Wei Wang; Kanglin Yin; Changsheng Lin; Chongshu Qian (CyberC, 2017)

A Learning-Based Adjustment Model with Genetic Algorithm of Function Point Estimation. - Jiaqi Liu; Qingfeng Du; Jincheng Xu (HPCC/SmartCity/DSS, 2018)

An Approach of Collecting Performance Anomaly Dataset for NFV Infrastructure. - Qingfeng Du; Yu He; Tiandi Xie; Kanglin Yin; Juan Qiu (ICA3PP (3), 2018)

Anomaly Detection and Diagnosis for Container-Based Microservices with Performance Monitoring. - Qingfeng Du; Tiandi Xie; Yu He (ICA3PP (4), 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 (ICANN (2), 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 (SEKE, 2018)

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 (COMPSAC (2), 2019)

A Deep Investigation into fastText. - Jincheng Xu; Qingfeng Du (HPCC/SmartCity/DSS, 2019)

On Representing and Eliciting Resilience Requirements of Microservice Architecture Systems. - Kanglin Yin; Qingfeng Du; Wei Wang; Juan Qiu; Jincheng Xu (CoRR, 2019)

KPI-TSAD: A Time-Series Anomaly Detector for KPI Monitoring in Cloud Applications. - Juan Qiu; Qingfeng Du; Chongshu Qian (Symmetry, 2019)

Software Defect Prediction and Localization with Attention-Based Models and Ensemble Learning. - Tianhang Zhang; Qingfeng Du; Jincheng Xu; Jiechu Li; Xiaojun Li (APSEC, 2020)

On the Interpretation of Convolutional Neural Networks for Text Classification. - Jincheng Xu; Qingfeng Du (ECAI, 2020)

Chinese News Event Corpus Construction Method Based on Syntax Tree. - Qingzhi Sun; Qingfeng Du; Chenxi Zhang; Jun Li (ICBDT, 2020)

Document-Improved Hierarchical Modular Attention for Event Detection. - Yiwei Ni; Qingfeng Du; Jincheng Xu (KSEM (2), 2020)

TextTricker: Loss-based and gradient-based adversarial attacks on text classification models. - Jincheng Xu; Qingfeng Du (Eng. Appl. Artif. Intell., 2020)

Adversarial attacks on text classification models using layer-wise relevance propagation. - Jincheng Xu; Qingfeng Du (Int. J. Intell. Syst., 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)

Learning neural networks for text classification by exploiting label relations. - Jincheng Xu; Qingfeng Du (Multim. Tools Appl., 2020)

Learning transferable features in meta-learning for few-shot text classification. - Jincheng Xu; Qingfeng Du (Pattern Recognit. Lett., 2020)

A Requirement-based Regression Test Selection Technique in Behavior-Driven Development. - Jincheng Xu; Qingfeng Du; Xiaojun Li (COMPSAC, 2021)

Log-Based Anomaly Detection with Multi-Head Scaled Dot-Product Attention Mechanism. - Qingfeng Du; Liang Zhao; Jincheng Xu; Yongqi Han 001; Shuangli Zhang (DEXA (1), 2021)

Model-Agnostic Local Explanations with Genetic Algorithms for Text Classification. - Qingfeng Du; Jincheng Xu (SEKE, 2021)

Towards a Better Understanding of Gradient-Based Explanatory Methods in NLP. - Qingfeng Du; Jincheng Xu (SEKE, 2021)

Predicting Cutterhead Torque for TBM based on Different Characteristics and AGA-Optimized LSTM-MLP. - Shuangli Zhang; Qingfeng Du; Sicheng Zhao (SMC, 2021)

On Representing Resilience Requirements of Microservice Architecture Systems. - Kanglin Yin; Qingfeng Du (Int. J. Softw. Eng. Knowl. Eng., 2021)

LogFold: Enhancing Log Anomaly Detection Through Sequence Folding and Reconstruction. - Xiaonan Shi; Rui Li; Qingfeng Du; Cheng He; Fulong Tian (APSEC, 2023)

Trace-Based Anomaly Detection with Contextual Sequential Invocations. - Qingfeng Du; Liang Zhao; Fulong Tian; Yongqi Han 001 (DEXA (2), 2023)

KEWS: A Evaluation Method of Workload Simulation based on KPIs. - Pengsheng Li; Qingfeng Du; Shengjie Zhao (CoRR, 2023)

LWS: A framework for log-based workload simulation in session-based SUT. - Yongqi Han 001; Qingfeng Du; Jincheng Xu; Shengjie Zhao; Zhekang Chen; Li Cao; Kanglin Yin; Dan Pei (J. Syst. Softw., 2023)

KEWS: A KPIs-Based Evaluation Framework of Workload Simulation On Microservice System. - Pengsheng Li; Qingfeng Du; Shengjie Zhao (CSCWD, 2024)

Advancing Root Cause Analysis in Cloud-native System with Knowledge Graph Path Embedding Translation. - Pengsheng Li; Qingfeng Du; Shengjie Zhao; Pei Fang (CSCWD, 2024)

Semi-Supervised Metrics-Based Self-Training Root Cause Analysis for Cloud-Native Systems with Class-Imbalanced Data. - Ying Huang; Qingfeng Du; Yongqi Han 001; Cheng He; Fulong Tian (ICASSP, 2024)

The Potential of One-Shot Failure Root Cause Analysis: Collaboration of the Large Language Model and Small Classifier. - Yongqi Han 001; Qingfeng Du; Ying Huang; Jiaqi Wu; Fulong Tian; Cheng He (ASE, 2024)

Holistic Root Cause Analysis for Failures in Cloud-Native Systems Through Observability Data. - Yongqi Han 001; Qingfeng Du; Ying Huang; Pengsheng Li; Xiaonan Shi; Jiaqi Wu; Pei Fang; Fulong Tian; Cheng He (IEEE Trans. Serv. Comput., 2024)

FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning. - Yu Zhang; Qingfeng Du; Jiaqi Lv (ICIC (10), 2025)

Dynamics and Moving-Mass Parameter Design of Single Moving-Mass Roll and Trim Control Hypersonic Vehicle. - Qingfeng Du; Yudong Hu; Wuxing Jing; Changsheng Gao (IEEE Trans. Aerosp. Electron. Syst., 2025)