Huijuan Lu
Orcid: 0000-0002-3698-9653
According to our database1,
Huijuan Lu
authored at least 70 papers
between 2006 and 2024.
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Bibliography
2024
A semi-supervised medical image classification method based on combined pseudo-labeling and distance metric consistency.
Multim. Tools Appl., March, 2024
Research on Multi-Hole Localization Tracking Based on a Combination of Machine Vision and Deep Learning.
Sensors, February, 2024
2023
A cross-modal deep metric learning model for disease diagnosis based on chest x-ray images.
Multim. Tools Appl., September, 2023
Deep learning based classification of multi-label chest X-ray images via dual-weighted metric loss.
Comput. Biol. Medicine, May, 2023
2022
Protecting Location Privacy of Users Based on Trajectory Obfuscation in Mobile Crowdsensing.
IEEE Trans. Ind. Informatics, 2022
J. Cloud Comput., 2022
Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification.
CoRR, 2022
Proceedings of the Intelligent Systems and Applications, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Dynamic Multipath Routing Mechanism for Multimedia Data Flow Scheduling Over Software Defined Networks.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022
2021
A Hybrid Ensemble Algorithm Combining AdaBoost and Genetic Algorithm for Cancer Classification with Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Pattern Recognit. Lett., 2021
J. Syst. Archit., 2021
Comput. Networks, 2021
A Position and Area Localization Algorithm for Obstacles in the Environment of Sparsely-Deployed Sensors.
IEEE Access, 2021
A Student Attendance Management Method Based on Crowdsensing in Classroom Environment.
IEEE Access, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Evaluating Ensemble Learning Impact on Gene Selection for Automated Cancer Diagnosis.
Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020
Semisupervised Dual-Dictionary Learning for Heterogeneous Transfer Learning on Cross-Scene Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Neural Comput. Appl., 2020
Comput. Electr. Eng., 2020
BCVehis: A Blockchain-Based Service Prototype of Vehicle History Tracking for Used-Car Trades in China.
IEEE Access, 2020
Modified Hybrid Task Cascade for Lung Nodules Segmentation in CT Images with Guided Anchoring.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020
Improved Cascade R-CNN for Medical Images of Pulmonary Nodules Detection Combining Dilated HRNet.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020
2019
Fast and Accurate Classification of Time Series Data Using Extended ELM: Application in Fault Diagnosis of Air Handling Units.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Feature selection for cross-scene hyperspectral image classification using cross-domain ReliefF.
Int. J. Wavelets Multiresolution Inf. Process., 2019
Kernel principal component analysis combining rotation forest method for linearly inseparable data.
Cogn. Syst. Res., 2019
Learning misclassification costs for imbalanced classification on gene expression data.
BMC Bioinform., 2019
Emerging Privacy Issues and Solutions in Cyber-Enabled Sharing Services: From Multiple Perspectives.
IEEE Access, 2019
Redundancy-Reducing and Holiday Speed Prediction Based on Highway Traffic Speed Data.
IEEE Access, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Dual Dictionary Learning for Mining a Unified Feature Subspace between Different Hyperspectral Image Scenes.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Random Convolutional Neural Network Based on Distributed Computing with Decentralized Architecture.
Proceedings of the Human Centered Computing - 5th International Conference, 2019
Proceedings of the Bio-inspired Computing: Theories and Applications, 2019
2018
Proceedings of the 2018 IEEE SmartWorld, 2018
Proceedings of the 2018 IEEE SmartWorld, 2018
Proceedings of the 2018 IEEE SmartWorld, 2018
Cross-Scene Feature Selection for Hyperspectral Images Based on Cross-Domain Information Gain.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Learning Misclassification Costs for Imbalanced Datasets, Application in Gene Expression Data Classification.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
A kernel extreme learning machine algorithm based on improved particle swam optimization.
Memetic Comput., 2017
Cross-scene hyperspectral image classification based on DWT and manifold-constrained subspace learning.
Int. J. Wavelets Multiresolution Inf. Process., 2017
Neurocomputing, 2017
Neurocomputing, 2017
Lossless image compression algorithm and hardware architecture for bandwidth reduction of external memory.
IET Image Process., 2017
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017
Classifying Non-linear Gene Expression Data Using a Novel Hybrid Rotation Forest Method.
Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017
Proceedings of the 2017 Data Compression Conference, 2017
Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017
Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017
2016
基于探测粒子群的小波核极限学习机算法 (Wavelet Kernel Extreme Learning Machine Algorithm Based on Detecting Particle Swarm Optimization).
计算机科学, 2016
Neurocomputing, 2016
Applying Cost-Sensitive Extreme Learning Machine and Dissimilarity Integration to Gene Expression Data Classification.
Comput. Intell. Neurosci., 2016
2015
Regularised extreme learning machine with misclassification cost and rejection cost for gene expression data classification.
Int. J. Data Min. Bioinform., 2015
2014
Neural Comput. Appl., 2014
Dissimilarity based ensemble of extreme learning machine for gene expression data classification.
Neurocomputing, 2014
Proceedings of the 10th International Conference on Mobile Ad-hoc and Sensor Networks, 2014
Proceedings of the Human Centered Computing - First International Conference, 2014
Automatic Detection Algorithm Based on LVQ Neural Network for Micro-calcification Clusters.
Proceedings of the Human Centered Computing - First International Conference, 2014
2013
Neural Comput. Appl., 2013
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013
A New Fuzzy Extreme Learning Machine for Regression Problems with Outliers or Noises.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013
2012
Soft Comput., 2012
2009
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009
2008
Two Stratum Bayesian Network Based Anomaly Detection Model for Intrusion Detection System.
Proceedings of The International Symposium on Electronic Commerce and Security, 2008
2006
Mining gene expression databases for local causal relationships using a simple constraint-based algorithm.
Int. J. Pattern Recognit. Artif. Intell., 2006
Management of Cross-enterprise Processes based on a Service-oriented Workflow Framework.
Proceedings of the IEEE International Conference on Systems, 2006
Tissue Classification Using Gene Expression Data and Artificial Neural Network Ensembles.
Proceedings of the Computational Intelligence and Bioinformatics, 2006