Ming-Bo Zhao
Orcid: 0000-0003-0381-4360
According to our database1,
Ming-Bo Zhao
authored at least 149 papers
between 2007 and 2024.
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Bibliography
2024
Arbitrary Virtual Try-on Network: Characteristics Preservation and Tradeoff between Body and Clothing.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024
Bio-inspired algorithms for cybersecurity - a review of the state-of-the-art and challenges.
Int. J. Bio Inspired Comput., 2024
CoRR, 2024
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Expert Syst. Appl., December, 2023
A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module.
Neural Comput. Appl., August, 2023
Neural Comput. Appl., June, 2023
Neural Networks, 2023
Knowl. Inf. Syst., 2023
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-Identification.
CoRR, 2023
Appl. Intell., 2023
An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation.
Proceedings of the Medical Imaging with Deep Learning, 2023
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
IMT-LUSS: A Novel Inception Meets Transformer-based Lung Ultrasound Scoring Model in Pneumonia.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Cascaded Triplanar Autoencoder M-Net for Fully Automatic Segmentation of Left Ventricle Myocardial Scar From Three-Dimensional Late Gadolinium-Enhanced MR Images.
IEEE J. Biomed. Health Informatics, 2022
Neural Networks, 2022
Knowl. Based Syst., 2022
Human Instance Segmentation and Tracking via Data Association and Single-stage Detector.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Human-Centered Real-Time Instance Segmentation with Integration with Data Association and SOLO.
Proceedings of the Neural Computing for Advanced Applications, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022
Early Fall Prediction Using Hybrid Recurrent Neural Network and Long Short-Term Memory.
ICO, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
Joint Clothes Detection and Attribution Prediction via Anchor-free Framework with Decoupled Representation Transformer.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2021
Clothes image caption generation with attribute detection and visual attention model.
Pattern Recognit. Lett., 2021
Two-layered ant colony system to improve engraving robot's efficiency based on a large-scale TSP model.
Neural Comput. Appl., 2021
A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement.
Knowl. Based Syst., 2021
Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing.
CoRR, 2021
CoRR, 2021
Proceedings of International Conference on Smart Systems and Advanced Computing, 2021
Interactive Clothes Image Retrieval via Multi-modal Feature Fusion of Image Representation and Natural Language Feedback.
Proceedings of the Neural Computing for Advanced Applications, 2021
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
2020
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification.
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Image Process., 2020
Crowdsourcing Model for Energy Efficiency Retrofit and Mixed-Integer Equilibrium Analysis.
IEEE Trans. Ind. Informatics, 2020
Bridging User Interest to Item Content for Recommender Systems: An Optimization Model.
IEEE Trans. Cybern., 2020
Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization.
IEEE Trans. Big Data, 2020
Neural Comput. Appl., 2020
TileGAN: category-oriented attention-based high-quality tiled clothes generation from dressed person.
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
Neural Comput. Appl., 2020
Integrating pixels and segments: A deep-learning method inspired by the informational diversity of the visual pathways.
Neurocomputing, 2020
IEEE Multim., 2020
Predicting Students' Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine.
IEEE Access, 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
ICO, 2020
2019
IEEE Trans. Big Data, 2019
Fault diagnosis on wireless sensor network using the neighborhood kernel density estimation.
Neural Comput. Appl., 2019
ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning.
Neurocomputing, 2019
Sub-Graph Regularization on Kernel Regression for Robust Semi-Supervised Dimensionality Reduction.
Entropy, 2019
Behav. Inf. Technol., 2019
Proceedings of the Machine Learning and Intelligent Communications, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Bend Detection of Bridge Chords in UAV Images via Region-Based Deep Semantic Segmentation Network.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Capped l<sub>2, 1</sub>-Norm Regularized Dictionary Coding for Scalable Semi-Supervised Learning.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
IEEE Trans. Knowl. Data Eng., 2018
Neural Process. Lett., 2018
Adaptive non-negative projective semi-supervised learning for inductive classification.
Neural Networks, 2018
Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data.
Neural Networks, 2018
Trace Ratio Criterion based Discriminative Feature Selection via <i>l</i><sub>2, <i>p</i></sub>-norm regularization for supervised learning.
Neurocomputing, 2018
NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction.
CoRR, 2018
Controlling Stroke Size in Fast Style Transfer with Recurrent Convolutional Neural Network.
Comput. Graph. Forum, 2018
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction.
IEEE Trans. Image Process., 2017
Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model.
IEEE Trans. Ind. Informatics, 2017
Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification.
IEEE Trans. Ind. Informatics, 2017
Sensors, 2017
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation.
Pattern Recognit., 2017
Neural Networks, 2017
Projective label propagation by label embedding: A deep label prediction framework for representation and classification.
Knowl. Based Syst., 2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Prostate lesion detection and localization based on locality alignment discriminant analysis.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Semi-supervised classification for rolling fault diagnosis via robust sparse and low-rank model.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Rolling fault diagnosis via robust semi-supervised model with capped l2, 1-norm regularization.
Proceedings of the IEEE International Conference on Industrial Technology, 2017
Integrating spectral and spatial features for hyperspectral image classification using low-rank representation.
Proceedings of the IEEE International Conference on Industrial Technology, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
2016
Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification.
IEEE Trans. Image Process., 2016
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification.
IEEE Trans. Ind. Informatics, 2016
Neural Process. Lett., 2016
Neurocomputing, 2016
Vehicle route planning for logistics network optimization via multiple spanning tree.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016
Latent label consistent K-SVD for joint machine faults representation and classification.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood.
IEEE Trans. Knowl. Data Eng., 2015
A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction.
ACM Trans. Intell. Syst. Technol., 2015
IEEE Signal Process. Lett., 2015
IEEE Signal Process. Lett., 2015
Knowl. Based Syst., 2015
Bilinear low-rank coding framework and extension for robust image recovery and feature representation.
Knowl. Based Syst., 2015
Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction.
Inf. Sci., 2015
Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension.
Neurocomputing, 2015
Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images.
Neurocomputing, 2015
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015
Semi-supervised label consistent dictionary learning for machine fault classification.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
Wireless sensor network fault detection via semi-supervised local kernel density estimation.
Proceedings of the IEEE International Conference on Industrial Technology, 2015
Proceedings of the Computer Analysis of Images and Patterns, 2015
2014
IEEE Trans. Ind. Electron., 2014
Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer's Disease.
IEEE Signal Process. Lett., 2014
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction.
Neural Networks, 2014
Similarity preserving low-rank representation for enhanced data representation and effective subspace learning.
Neural Networks, 2014
Neurocomputing, 2014
Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification.
Expert Syst. Appl., 2014
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification.
Eng. Appl. Artif. Intell., 2014
Comput. Vis. Image Underst., 2014
Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2013
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification.
IEEE Trans. Knowl. Data Eng., 2013
Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization.
IEEE Trans. Knowl. Data Eng., 2013
Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification.
IEEE Trans. Image Process., 2013
M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction.
IEEE Trans. Cybern., 2013
Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia.
IEEE Signal Process. Lett., 2013
A soft label based linear discriminant analysis for semi-supervised dimensionality reduction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Learning from local and global discriminative information for semi-supervised dimensionality reduction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Robust image representation and decomposition by Laplacian regularized latent low-rank representation.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Handwriting representation and recognition through a sparse projection and low-rank recovery framework.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
Soft Comput., 2012
Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction.
Pattern Recognit., 2012
Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction.
Pattern Recognit., 2012
A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition.
Pattern Recognit., 2012
Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition.
Neural Networks, 2012
On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2009
Expert Syst. Appl., 2009
2007
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007
Data Fusion based on RBF Neural Network for Error Compensation in Resistance Strain Gauge Force Transducers.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007