Mingbo Zhao

发表

Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification

Li Zhang, Zhao Zhang, Fanzhang Li, 2017, IEEE Transactions on Industrial Informatics.

Fault diagnosis on wireless sensor network using the neighborhood kernel density estimation

Tommy W. S. Chow, Mingbo Zhao, Zhaoyang Tian, 2019, Neural Computing and Applications.

AWM: Adaptive Weight Matting for medical image segmentation

Mingbo Zhao, Bernard Chiu, Jieyu Cheng, 2017, Medical Imaging.

Prostate lesion delineation from multiparametric magnetic resonance imaging based on locality alignment discriminant analysis

Huageng Liang, Derek W. Cool, Aaron D. Ward, 2018, Medical physics.

DenseNet with Up-Sampling block for recognizing texts in images

Weiming Jiang, Mingbo Zhao, Meng Wang, 2019, Neural Computing and Applications.

Controlling Stroke Size in Fast Style Transfer with Recurrent Convolutional Neural Network

Youyi Zheng, Mingbo Zhao, Lingchen Yang, 2018, Comput. Graph. Forum.

Robust Projective Dictionary Learning by Joint Label Embedding and Classification

Shuicheng Yan, Zhao Zhang, Fanzhang Li, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Wireless sensor network fault detection via semi-supervised local kernel density estimation

Tommy W. S. Chow, Mingbo Zhao, 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).

Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model

Tommy W. S. Chow, Moshe Zukerman, Peng Tang, 2017, IEEE Transactions on Industrial Informatics.

Subspace Clustering via Adaptive Low-Rank Model

Zhao Zhang, Choujun Zhan, Mingbo Zhao, 2017, ICONIP.

Multi-view ladar data registration in obscure environment

Qiang Fu, Mingbo Zhao, Wei Qiu, 2013 .

Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network pdf

Yang Wang, Meng Wang, Zhao Zhang, 2020, ArXiv.

Capped l2,1-Norm Regularization on Kernel Regression for Robust Semi-supervised Learning

Weijian Kong, Jiao Liu, Mingbo Zhao, 2019, 2019 IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN).

Adaptive non-negative projective semi-supervised learning for inductive classification

Meng Wang, Min Zhang, Zhao Zhang, 2018, Neural Networks.

You Can Hear The Shape Of A Room: Acoustic Exploration And Reconstruction Of Convex Polyhedra

Mingbo Zhao, 2012 .

Prostate lesion detection and localization based on locality alignment discriminant analysis

Tommy W. S. Chow, Weifu Chen, Derek W. Cool, 2017, Medical Imaging.

Non-Convex Sparse and Low-Rank Based Robust Subspace Segmentation for Data Mining

Naixue Xiong, Mingbo Zhao, Kwok Tai Chui, 2017, Sensors.

Scalable Subspace Clustering via Adaptive Low-rank Model

Weijian Kong, Mingbo Zhao, Yue Zhang, 2018, 2018 IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN).

ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning

Weijian Kong, Jiao Liu, Mingbo Zhao, 2019, Neurocomputing.

Detrended fluctuation analysis of daily rainfall records of the entire China

Choujun Zhan, Zhi Yang, Mingbo Zhao, 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization

Li Zhang, Shuicheng Yan, Zhao Zhang, 2017, Neural Networks.

Predicting Students’ Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine

Mingbo Zhao, Ryan Wen Liu, Kwok Tai Chui, 2020, IEEE Access.

Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification

Zhao Zhang, Mingbo Zhao, Zemin Tang, 2018, PCM.

Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation

Guoliang Shi, Mingbo Zhao, Yanping Yang, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

Clothes image caption generation with attribute detection and visual attention model

Mingbo Zhao, Zhiling Ye, Xianrui Li, 2020, Pattern Recognit. Lett..

Modelling for Dynamic Growth of User Population of Products and Services

Yu Wang, Mingbo Zhao, Choujun Zhan, 2019, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).

Sub-Graph Regularization for Scalable Semi-supervised Classification

Mingbo Zhao, Yue Zhang, Xue-Song Tang, 2019, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).

Approaches to non-linearity compensation of pressure transducer based on HGA-RBFNN

Ping Chen, Zhiqiang Wang, Mingbo Zhao, 2010, 2010 8th World Congress on Intelligent Control and Automation.

Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning

Wei Wang, Zhao Zhang, Choujun Zhan, 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

Semi-supervised Learning via Adaptive Low-Rank Graph

Mingbo Zhao, Jiang Zhang, Cuili Yang, 2019, ICML 2019.

A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement

Jicong Fan, Zhao Zhang, Jiao Liu, 2020, Knowl. Based Syst..

Integrating spectral and spatial features for hyperspectral image classification using low-rank representation

Dianhui Chu, Haijun Zhang, Mingbo Zhao, 2017, 2017 IEEE International Conference on Industrial Technology (ICIT).

Two-layered ant colony system to improve engraving robot’s efficiency based on a large-scale TSP model

Kai Liu, Mingbo Zhao, Liang Feng, 2020 .

The Application of Fuzzy Neural Network in the Iatrical Monitor

Ping Chen, Mingbo Zhao, Shaoqing Jia, 2007, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007).

Locality Reconstruction Models for Book Representation

Yunming Ye, Shuang Wang, Xiaofei Xu, 2018, IEEE Transactions on Knowledge and Data Engineering.

Bridging User Interest to Item Content for Recommender Systems: An Optimization Model

Haijun Zhang, Mingbo Zhao, Yanfang Sun, 2020, IEEE Transactions on Cybernetics.

Projective label propagation by label embedding: A deep label prediction framework for representation and classification

Li Zhang, Zhao Zhang, Lei Jia, 2017, Knowl. Based Syst..

Discriminative Feature Selection via Joint Trace Ratio Criterion and l2,1-norm Regularization

Weijian Kong, Mingbo Zhao, Zhang Jiang, 2018, 2018 IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN).

Capped l_2,1-Norm Regularized Dictionary Coding for Scalable Semi-Supervised Learning

Jiao Liu, Mingbo Zhao, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

Deep-recursive residual network for image semantic segmentation

Mingquan Lin, Bernard Chiu, Mingbo Zhao, 2020, Neural Computing and Applications.

Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification

Meng Wang, Shuicheng Yan, Guangcan Liu, 2019, IEEE Transactions on Big Data.

TileGAN: category-oriented attention-based high-quality tiled clothes generation from dressed person

Zhao Zhang, Yuan Gao, Mingbo Zhao, 2020, Neural Computing and Applications.

Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution

Jicong Fan, Zhao Zhang, Choujun Zhan, 2018, PRICAI.

Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction

Shuicheng Yan, Zhao Zhang, Fanzhang Li, 2017, IEEE Transactions on Image Processing.

Big data and IoT solution for patient behaviour monitoring

Miltiadis D. Lytras, Mingbo Zhao, Ryan Wen Liu, 2019, Behav. Inf. Technol..

Nuclear-norm regularized neighborhood preserving projection

Li Zhang, Shuicheng Yan, Zhao Zhang, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification

Shuicheng Yan, Zhao Zhang, Mingbo Zhao, 2013, IEEE Transactions on Image Processing.

Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification

Min Zhang, Meng Wang, Zhao Zhang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

Patricia Ordóñez de Pablos, Mingbo Zhao, Ryan Wen Liu, 2017 .

Deep Self-representative Concept Factorization Network for Representation Learning

Yan Zhang, Zheng Zhang, Meng Wang, 2019, SDM.

Scatternet Formation Algorithm in Multi-hop Environment based on Bionics

Jingjing Wang, Mingbo Zhao, Mingbo Zhao, 2007, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007).

Semi-supervised classification for rolling fault diagnosis via robust sparse and low-rank model

Yongsheng Ding, Jie Qi, Bing Li, 2017, 2017 IEEE 15th International Conference on Industrial Informatics (INDIN).

Vehicle route planning for logistics network optimization via multiple spanning tree

Tommy W. S. Chow, Kim Fung Tsang, Mingbo Zhao, 2016, 2016 IEEE 14th International Conference on Industrial Informatics (INDIN).

Data Fusion based on RBF Neural Network for Error Compensation in Resistance Strain Gauge Force Transducers

Ping Chen, Yan Chen, Benoit Boulet, 2007, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007).

Rolling fault diagnosis via robust semi-supervised model with capped l2,1-norm regularization

Tommy W. S. Chow, Haijun Zhang, Mingbo Zhao, 2017, 2017 IEEE International Conference on Industrial Technology (ICIT).

Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data

Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, 2018, Neural Networks.

Range anomaly suppression based on neighborhood pixels detection in ladar range images

Zaiqi Lu, Qiang Fu, Mingbo Zhao, 2013 .

Integrating pixels and segments: A deep-learning method inspired by the informational diversity of the visual pathways

Kuangrong Hao, Hui Wei, Mingbo Zhao, 2020, Neurocomputing.

NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

Wei Liu, Yuan Gao, Alan L. Yuille, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization

Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, 2020, IEEE Transactions on Big Data.

Bend Detection of Bridge Chords in UAV Images via Region-Based Deep Semantic Segmentation Network

Ye Wang, Mingbo Zhao, Han Wang, 2019, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN).

Sub-Graph Regularization on Kernel Regression for Robust Semi-Supervised Dimensionality Reduction

Weijian Kong, Jiao Liu, Mingbo Zhao, 2019, Entropy.

Spatiotemporal Tree Filtering for Enhancing Image Change Detection

Siyuan Yan, Mingbo Zhao, Tommy W S Chow, 2020, IEEE Transactions on Image Processing.

Latent label consistent K-SVD for joint machine faults representation and classification

Zhao Zhang, Lei Jia, Fanzhang Li, 2016, 2016 IEEE 14th International Conference on Industrial Informatics (INDIN).

Network characteristics for neighborhood field algorithms

Qian Li, Zhou Wu, Shaocheng Qu, 2019, Neural Computing and Applications.

Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood Graph

Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, 2017, Neural Processing Letters.

Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning

Zhao Zhang, Mingbo Zhao, Bernard Chiu, 2018, Neurocomputing.

Robust Adaptive Label Propagation by Double Matrix Decomposition

Meng Wang, Zhao Zhang, Sheng Li, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

An End-to-End Framework for Clothing Collocation Based on Semantic Feature Fusion

Yu Liu, Mingbo Zhao, Yue Zhang, 2020, IEEE MultiMedia.

Identification of potential crucial genes associated with carcinogenesis of clear cell renal cell carcinoma

Mingbo Zhao, Xin Ma, Xu Zhang, 2018, Journal of cellular biochemistry.