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2020 – today
- 2025
[j83]Zhihong Lin, Xue-Song Tang
, Kuangrong Hao, Mingbo Zhao, Yubing Li:
Adaptive knowledge graph for multi-label image classification. Appl. Intell. 55(1): 20 (2025)- 2024
- [j82]Kwok Tai Chui, Ryan Wen Liu, Mingbo Zhao, Xinyu Zhang:
Bio-inspired algorithms for cybersecurity - a review of the state-of-the-art and challenges. Int. J. Bio Inspired Comput. 23(1): 1-15 (2024) - [j81]Jiao Liu, Mingbo Zhao, Choujun Zhan:
Deep Representation-Based Fuzzy Graph Model for Content-Based Image Retrieval. Int. J. Fuzzy Syst. 26(6): 2011-2022 (2024) - [j80]Hongtao Zhang, Guanglin Zhang, Mingbo Zhao, Yuping Liu:
Load Forecasting-Based Learning System for Energy Management With Battery Degradation Estimation: A Deep Reinforcement Learning Approach. IEEE Trans. Consumer Electron. 70(1): 2342-2352 (2024) - [j79]Mingbo Zhao, Lu Cheng, Yuan Sun, Jianghong Ma:
Human Video Instance Segmentation and Tracking via Data Association and Single-Stage Detector. IEEE Trans. Consumer Electron. 70(1): 2979-2988 (2024) - [j78]Mingbo Zhao, Weizhi Meng, Bingyi Liu, Yimin Yang:
Guest Editorial of the Special Section on Generative Artificial Intelligence With Applications on Consumer Electronics. IEEE Trans. Consumer Electron. 70(2): 4955-4957 (2024) - [j77]Mingbo Zhao, Sheng Li, Xiaojie Jin, David Zhiwei Gao:
Guest Editorial of the Special Section on Multimedia Sensing and Computing for Consumer Electronics. IEEE Trans. Consumer Electron. 70(2): 4961-4964 (2024) - [j76]Yu Liu, Mingbo Zhao, Zhao Zhang, Yuping Liu, Shuicheng Yan:
Arbitrary Virtual Try-on Network: Characteristics Preservation and Tradeoff between Body and Clothing. ACM Trans. Multim. Comput. Commun. Appl. 20(5): 123:1-123:23 (2024) - [c65]Jiaer Xia, Lei Tan, Pingyang Dai, Mingbo Zhao, Yongjian Wu, Liujuan Cao:
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification. AAAI 2024: 6198-6206 - [c64]Yiyu Zhang, Mingbo Zhao:
Fashion Detection and Search via Decoupled Anchor-free Framework. DSDE 2024: 90-96 - [c63]Bo Wang, Zhao Zhang, Mingbo Zhao, Xiaojie Jin, Mingliang Xu, Meng Wang:
OSIC: A New One-Stage Image Captioner Coined. IJCAI 2024: 1353-1361 - [i12]Jiacui Huang, Hongtao Zhang, Mingbo Zhao, Zhou Wu:
IVLMap: Instance-Aware Visual Language Grounding for Consumer Robot Navigation. CoRR abs/2403.19336 (2024) - 2023
- [j75]Jiao Liu, Mingquan Lin, Mingbo Zhao, Choujun Zhan, Bing Li, John Kwok Tai Chui:
Person re-identification via semi-supervised adaptive graph embedding. Appl. Intell. 53(3): 2656-2672 (2023) - [j74]Choujun Zhan, Yonglin Liu, Zeqiong Wu, Mingbo Zhao, Tommy W. S. Chow:
A hybrid machine learning framework for forecasting house price. Expert Syst. Appl. 233: 120981 (2023) - [j73]Yangcheng Gao, Zhao Zhang, Haijun Zhang, Mingbo Zhao, Yi Yang, Meng Wang:
Fast data-free model compression via dictionary-pair reconstruction. Knowl. Inf. Syst. 65(8): 3435-3461 (2023) - [j72]Mingbo Zhao, Zhou Wu, Zhao Zhang, Tianyong Hao, Zhiwei Meng, Reza Malekian:
Special issue on neural computing and applications 2020. Neural Comput. Appl. 35(17): 12243-12245 (2023) - [j71]Yiwen Liu, Wenyu Xing, Mingbo Zhao, Mingquan Lin:
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. 35(23): 17187-17199 (2023) - [j70]Tianjun Wei, Tommy W. S. Chow, Jianghong Ma, Mingbo Zhao:
ExpGCN: Review-aware Graph Convolution Network for explainable recommendation. Neural Networks 157: 202-215 (2023) - [c62]Yiwen Liu, Wenyu Xing, Chao He, Wenfang Li, Jiangang Chen, Mingbo Zhao:
IMT-LUSS: A Novel Inception Meets Transformer-based Lung Ultrasound Scoring Model in Pneumonia. BIBM 2023: 3354-3361 - [c61]Kang Miao, Zhao Zhang, Jiahuan Ren, Mingbo Zhao, Haijun Zhang, Richang Hong:
Adaptive Student Inference Network for Efficient Single Image Super-Resolution. ICDM 2023: 488-497 - [c60]Yu Liu, Mingbo Zhao, Zhao Zhang, Jicong Fan, Yang Lou, Shuicheng Yan:
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing. ICLR 2023 - [c59]Yiwen Liu, Wenyu Xing, Mingbo Zhao, Mingquan Lin:
An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation. MIDL 2023: 416-425 - [i11]Jiaer Xia, Lei Tan, Pingyang Dai, Mingbo Zhao, Yongjian Wu, Rongrong Ji:
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-Identification. CoRR abs/2303.10976 (2023) - 2022
- [j69]Xue-Song Tang, Xianlin Xie, Kuangrong Hao, Dawei Li, Mingbo Zhao:
A line-segment-based non-maximum suppression method for accurate object detection. Knowl. Based Syst. 251: 108885 (2022) - [j68]Mingbo Zhao, Shanchuan Gao, Jianghong Ma, Zhao Zhang:
Joint clothes image detection and search via anchor free framework. Neural Networks 155: 84-94 (2022) - [j67]Mingquan Lin, Mingjie Jiang, Mingbo Zhao, Eranga Ukwatta, James A. White, Bernard Chiu:
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 26(6): 2582-2593 (2022) - [c58]Fankai Zeng, Mingbo Zhao, Zhao Zhang, Shanchuan Gao, Lu Cheng:
Joint Clothes Detection and Attribution Prediction via Anchor-free Framework with Decoupled Representation Transformer. CIKM 2022: 2444-2454 - [c57]Bo Wang, Zhao Zhang, Jicong Fan, Mingbo Zhao, Choujun Zhan, Mingliang Xu:
FineFormer: Fine-Grained Adaptive Object Transformer for Image Captioning. ICDM 2022: 508-517 - [c56]Kwok Tai Chui, Miltiadis D. Lytras, Ryan Wen Liu, Mingbo Zhao, Miguel Torres Ruiz:
Early Fall Prediction Using Hybrid Recurrent Neural Network and Long Short-Term Memory. ICO 2022: 34-41 - [c55]Shanchuan Gao, Fankai Zeng, Lu Cheng, Jicong Fan, Mingbo Zhao:
Fashion Image Search via Anchor-Free Detector. ICMR 2022: 416-425 - [c54]Jiahuan Ren, Zhao Zhang, Richang Hong, Mingliang Xu, Haijun Zhang, Mingbo Zhao, Meng Wang:
Robust Low-Rank Convolution Network for Image Denoising. ACM Multimedia 2022: 6211-6219 - [c53]Lu Cheng, Mingbo Zhao, Jicong Fan:
Human-Centered Real-Time Instance Segmentation with Integration with Data Association and SOLO. NCAA (1) 2022: 367-377 - [c52]Jicong Fan, Yiheng Tu, Zhao Zhang, Mingbo Zhao, Haijun Zhang:
A Simple Approach to Automated Spectral Clustering. NeurIPS 2022 - [i10]Lu Cheng, Mingbo Zhao:
Human Instance Segmentation and Tracking via Data Association and Single-stage Detector. CoRR abs/2203.16966 (2022) - [i9]Bo Wang, Zhao Zhang, Mingbo Zhao, Xiaojie Jin, Mingliang Xu, Meng Wang:
OSIC: A New One-Stage Image Captioner Coined. CoRR abs/2211.02321 (2022) - 2021
- [j66]Mingbo Zhao, Jiao Liu, Zhao Zhang, Jicong Fan:
A scalable sub-graph regularization for efficient content based image retrieval with long-term relevance feedback enhancement. Knowl. Based Syst. 212: 106505 (2021) - [j65]Zhou Wu, Junjun Wu, Mingbo Zhao, Liang Feng, Kai Liu:
Two-layered ant colony system to improve engraving robot's efficiency based on a large-scale TSP model. Neural Comput. Appl. 33(12): 6939-6949 (2021) - [j64]Xianrui Li, Zhiling Ye, Zhao Zhang, Mingbo Zhao:
Clothes image caption generation with attribute detection and visual attention model. Pattern Recognit. Lett. 141: 68-74 (2021) - [j63]Dawei Li, Guoliang Shi, Yuhao Wu, Yanping Yang, Mingbo Zhao:
Multi-Scale Neighborhood Feature Extraction and Aggregation for Point Cloud Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2175-2191 (2021) - [c51]Yangcheng Gao, Zhao Zhang, Haijun Zhang, Mingbo Zhao, Yi Yang, Meng Wang:
Dictionary Pair-based Data-Free Fast Deep Neural Network Compression. ICDM 2021: 121-130 - [c50]Zhao Zhang, Weiming Jiang, Yang Wang, Qiaolin Ye, Mingbo Zhao, Mingliang Xu, Meng Wang:
Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding. ICDM 2021: 936-945 - [c49]Yanyan Wei, Zhao Zhang, Yang Wang, Haijun Zhang, Mingbo Zhao, Mingliang Xu, Meng Wang:
Semi-Deraingan: A New Semi-Supervised Single Image Deraining. ICME 2021: 1-6 - [c48]Xianrui Li, Yu Rong, Mingbo Zhao, Jicong Fan:
Interactive Clothes Image Retrieval via Multi-modal Feature Fusion of Image Representation and Natural Language Feedback. NCAA 2021: 578-589 - [c47]Kwok Tai Chui, Lap-Kei Lee, Ryan Wen Liu, Mingbo Zhao, Miltiadis D. Lytras:
Semi-Automatic Data Labelling of Smart Meter Data for Electricity Theft Detection. SysCom 2021: 156-159 - [i8]Jicong Fan, Yiheng Tu, Zhao Zhang, Mingbo Zhao:
EGGS: Eigen-Gap Guided Search Making Subspace Clustering Easy. CoRR abs/2107.12183 (2021) - [i7]Wenlong Cheng, Mingbo Zhao, Zhiling Ye, Shuhang Gu:
MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN. CoRR abs/2107.12679 (2021) - [i6]Yu Liu, Mingbo Zhao, Zhao Zhang, Haijun Zhang, Shuicheng Yan:
Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothing. CoRR abs/2111.12346 (2021) - 2020
- [j62]Kwok Tai Chui, Ryan Wen Liu, Mingbo Zhao, Patricia Ordóñez de Pablos:
Predicting Students' Performance With School and Family Tutoring Using Generative Adversarial Network-Based Deep Support Vector Machine. IEEE Access 8: 86745-86752 (2020) - [j61]Mingbo Zhao, Yu Liu, Xianrui Li, Zhao Zhang, Yue Zhang:
An End-to-End Framework for Clothing Collocation Based on Semantic Feature Fusion. IEEE Multim. 27(4): 122-132 (2020) - [j60]Xue-Song Tang, Hui Wei, Kuangrong Hao, Mingbo Zhao, Dawei Li:
Integrating pixels and segments: A deep-learning method inspired by the informational diversity of the visual pathways. Neurocomputing 396: 314-323 (2020) - [j59]Zeming Tang, Weiming Jiang, Zhao Zhang, Mingbo Zhao, Li Zhang, Meng Wang:
DenseNet with Up-Sampling block for recognizing texts in images. Neural Comput. Appl. 32(11): 7553-7561 (2020) - [j58]Nian Ao, Mingbo Zhao, Qian Li, Shaocheng Qu, Zhou Wu:
Network characteristics for neighborhood field algorithms. Neural Comput. Appl. 32(16): 12061-12078 (2020) - [j57]Yue Zhang, Xianrui Li, Mingquan Lin, Bernard Chiu, Mingbo Zhao:
Deep-recursive residual network for image semantic segmentation. Neural Comput. Appl. 32(16): 12935-12947 (2020) - [j56]Wei Zeng, Mingbo Zhao, Yuan Gao, Zhao Zhang:
TileGAN: category-oriented attention-based high-quality tiled clothes generation from dressed person. Neural Comput. Appl. 32(23): 17587-17600 (2020) - [j55]Jicong Fan, Mingbo Zhao, Tommy W. S. Chow:
Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization. IEEE Trans. Big Data 6(1): 119-130 (2020) - [j54]Haijun Zhang, Yanfang Sun, Mingbo Zhao, Tommy W. S. Chow, Q. M. Jonathan Wu:
Bridging User Interest to Item Content for Recommender Systems: An Optimization Model. IEEE Trans. Cybern. 50(10): 4268-4280 (2020) - [j53]Zhou Wu, Qian Li, Weiwei Wu, Mingbo Zhao:
Crowdsourcing Model for Energy Efficiency Retrofit and Mixed-Integer Equilibrium Analysis. IEEE Trans. Ind. Informatics 16(7): 4512-4524 (2020) - [j52]Dawei Li, Siyuan Yan, Mingbo Zhao, Tommy W. S. Chow:
Spatiotemporal Tree Filtering for Enhancing Image Change Detection. IEEE Trans. Image Process. 29: 8805-8820 (2020) - [j51]Huan Zhang, Zhao Zhang, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4538-4552 (2020) - [c46]Kwok Tai Chui, Mingbo Zhao, Brij B. Gupta:
Long Short-Term Memory Networks for Driver Drowsiness and Stress Prediction. ICO 2020: 670-680 - [c45]Yan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang:
Deep Self-representative Concept Factorization Network for Representation Learning. SDM 2020: 361-369 - [i5]Yanyan Wei, Zhao Zhang, Yang Wang, Mingbo Zhao, Meng Wang:
Semi-DerainGAN: A New Semi-supervised Single Image Deraining Network. CoRR abs/2001.08388 (2020)
2010 – 2019
- 2019
- [j50]Kwok Tai Chui, Ryan Wen Liu, Miltiadis D. Lytras, Mingbo Zhao:
Big data and IoT solution for patient behaviour monitoring. Behav. Inf. Technol. 38(9): 940-949 (2019) - [j49]Jiao Liu, Mingbo Zhao, Weijian Kong:
Sub-Graph Regularization on Kernel Regression for Robust Semi-Supervised Dimensionality Reduction. Entropy 21(11): 1125 (2019) - [j48]Mingbo Zhao, Yue Zhang, Zhao Zhang, Jiao Liu, Weijian Kong:
ALG: Adaptive low-rank graph regularization for scalable semi-supervised and unsupervised learning. Neurocomputing 370: 16-27 (2019) - [j47]Mingbo Zhao, Zhaoyang Tian, Tommy W. S. Chow:
Fault diagnosis on wireless sensor network using the neighborhood kernel density estimation. Neural Comput. Appl. 31(8): 4019-4030 (2019) - [j46]Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan:
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. IEEE Trans. Big Data 5(2): 148-165 (2019) - [c44]Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan L. Yuille:
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction. CVPR 2019: 3205-3214 - [c43]Jiao Liu, Mingbo Zhao:
Capped l2, 1-Norm Regularized Dictionary Coding for Scalable Semi-Supervised Learning. ICDM Workshops 2019: 653-657 - [c42]Xinxiang Zhang, Ye Wang, Han Wang, Yue Zhang, Hao Wu, Mingbo Zhao:
Bend Detection of Bridge Chords in UAV Images via Region-Based Deep Semantic Segmentation Network. INDIN 2019: 1459-1463 - [c41]Choujun Zhan, Xiaoting Zhong, Qizhi Zhang, Mingbo Zhao, Yu Wang:
Modelling for Dynamic Growth of User Population of Products and Services. INDIN 2019: 1478-1482 - [c40]Mingbo Zhao, Yue Zhang, Xue-Song Tang:
Sub-Graph Regularization for Scalable Semi-supervised Classification. INDIN 2019: 1488-1491 - [c39]Mingbo Zhao, Jiang Zhang, Cuili Yang:
Semi-supervised Learning via Adaptive Low-Rank Graph. MLICOM 2019: 434-443 - [i4]Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan:
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. CoRR abs/1905.12236 (2019) - [i3]Huan Zhang, Zhao Zhang, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification. CoRR abs/1911.08678 (2019) - [i2]Yan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang:
Deep Self-representative Concept Factorization Network for Representation Learning. CoRR abs/1912.06444 (2019) - 2018
- [j45]Lingchen Yang, Lumin Yang, Mingbo Zhao, Youyi Zheng:
Controlling Stroke Size in Fast Style Transfer with Recurrent Convolutional Neural Network. Comput. Graph. Forum 37(7): 97-107 (2018) - [j44]Mingbo Zhao, Mingquan Lin, Bernard Chiu, Zhao Zhang, Xue-Song Tang:
Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning. Neurocomputing 321: 1-16 (2018) - [j43]Jicong Fan, Zhaoyang Tian, Mingbo Zhao, Tommy W. S. Chow:
Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data. Neural Networks 100: 39-48 (2018) - [j42]Zhao Zhang, Lei Jia, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Adaptive non-negative projective semi-supervised learning for inductive classification. Neural Networks 108: 128-145 (2018) - [j41]Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, John K. L. Ho:
Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood Graph. Neural Process. Lett. 47(2): 697-716 (2018) - [j40]Haijun Zhang, Shuang Wang, Mingbo Zhao, Xiaofei Xu, Yunming Ye:
Locality Reconstruction Models for Book Representation. IEEE Trans. Knowl. Data Eng. 30(10): 1873-1886 (2018) - [c38]Huan Zhang, Zhao Zhang, Sheng Li, Qiaolin Ye, Mingbo Zhao, Meng Wang:
Robust Adaptive Label Propagation by Double Matrix Decomposition. ICPR 2018: 2160-2165 - [c37]Zemin Tang, Zhao Zhang, Xiao-hu Ma, Jie Qin, Mingbo Zhao:
Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification. PCM (1) 2018: 357-369 - [c36]Xiaotian Ma, Mingbo Zhao, Zhao Zhang, Jicong Fan, Choujun Zhan:
Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution. PRICAI 2018: 10-18 - [i1]Yuan Gao, Qi She, Jiayi Ma, Mingbo Zhao, Wei Liu, Alan L. Yuille:
NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction. CoRR abs/1801.08297 (2018) - 2017
- [j39]Zhao Zhang, Lei Wang, Lei Jia, Fanzhang Li, Li Zhang, Mingbo Zhao:
Projective label propagation by label embedding: A deep label prediction framework for representation and classification. Knowl. Based Syst. 119: 94-112 (2017) - [j38]Zhao Zhang, Mingbo Zhao, Fanzhang Li, Li Zhang, Shuicheng Yan:
Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization. Neural Networks 96: 55-70 (2017) - [j37]Zhao Zhang, Yan Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan:
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation. Pattern Recognit. 61: 492-510 (2017) - [j36]Wenlong Cheng, Mingbo Zhao, Naixue Xiong, Kwok Tai Chui:
Non-Convex Sparse and Low-Rank Based Robust Subspace Segmentation for Data Mining. Sensors 17(7): 1633 (2017) - [j35]Mingbo Zhao, Tommy W. S. Chow, Peng Tang, Zengfu Wang, Jun Guo, Moshe Zukerman:
Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model. IEEE Trans. Ind. Informatics 13(2): 502-511 (2017) - [j34]Zhao Zhang, Weiming Jiang, Fanzhang Li, Mingbo Zhao, Bing Li, Li Zhang:
Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification. IEEE Trans. Ind. Informatics 13(2): 644-656 (2017) - [j33]Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan:
Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction. IEEE Trans. Image Process. 26(4): 1607-1622 (2017) - [c35]Weiming Jiang, Zhao Zhang, Jie Qin, Mingbo Zhao, Fanzhang Li, Shuicheng Yan:
Robust Projective Dictionary Learning by Joint Label Embedding and Classification. ICDM Workshops 2017: 510-517 - [c34]Linhe Xu, Haijun Zhang, Mingbo Zhao, Dianhui Chu, Yan Li:
Integrating spectral and spatial features for hyperspectral image classification using low-rank representation. ICIT 2017: 1024-1029 - [c33]Mingbo Zhao, Tommy W. S. Chow, Haijun Zhang, Yan Li:
Rolling fault diagnosis via robust semi-supervised model with capped l2, 1-norm regularization. ICIT 2017: 1064-1069 - [c32]Mingbo Zhao, Wenlong Cheng, Zhao Zhang, Choujun Zhan:
Subspace Clustering via Adaptive Low-Rank Model. ICONIP (6) 2017: 462-470 - [c31]Choujun Zhan, Weiwen Cao, Junyu Fan, Chengda Wu, Zhi Yang, Mingbo Zhao:
Detrended fluctuation analysis of daily rainfall records of the entire China. INDIN 2017: 1013-1018 - [c30]Mingbo Zhao, Zhao Zhang, Choujun Zhan, Wei Wang:
Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning. INDIN 2017: 1019-1024 - [c29]Mingbo Zhao, Bing Li, Jie Qi, Yongsheng Ding:
Semi-supervised classification for rolling fault diagnosis via robust sparse and low-rank model. INDIN 2017: 1062-1067 - [c28]Mingquan Lin, Weifu Chen, Mingbo Zhao, Eli Gibson, Matthew Bastian-Jordan, Derek W. Cool, Zahra Kassam, Tommy W. S. Chow, Aaron D. Ward, Bernard Chiu:
Prostate lesion detection and localization based on locality alignment discriminant analysis. Computer-Aided Diagnosis 2017: 101344A - [c27]Jieyu Cheng, Mingbo Zhao, Minquan Lin, Bernard Chiu:
AWM: Adaptive Weight Matting for medical image segmentation. Image Processing 2017: 101332P - 2016
- [j32]Wenlong Cheng, Tommy W. S. Chow, Ming-Bo Zhao:
Locality Constrained-ℓp Sparse Subspace Clustering for Image Clustering. Neurocomputing 205: 22-31 (2016) - [j31]Peng Tang, Ming-Bo Zhao, Tommy W. S. Chow:
Locality Alignment Discriminant Analysis for Visualizing Regional English. Neural Process. Lett. 43(1): 295-307 (2016) - [j30]Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Xiaohang Jin:
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. IEEE Trans. Ind. Informatics 12(1): 248-256 (2016) - [j29]Zhao Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan:
Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification. IEEE Trans. Image Process. 25(6): 2429-2443 (2016) - [c26]Zhou Wu, Ming-Bo Zhao:
Leap on large-scale nonseparable problems. CEC 2016: 1808-1814 - [c25]Lei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, Ming-Bo Zhao:
Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification. ICDM 2016: 201-210 - [c24]Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan:
Nuclear-norm regularized neighborhood preserving projection. ICIP 2016: 56-60 - [c23]Ming-Bo Zhao, Zhao Zhang, Wenlong Cheng, Zhao Zhang:
Joint lp- and l2, p-norm minimization for subspace clustering with outlier pursuit. IJCNN 2016: 3658-3665 - [c22]Zhao Zhang, Weiming Jiang, Lei Jia, Mingbo Zhao, Fanzhang Li:
Latent label consistent K-SVD for joint machine faults representation and classification. INDIN 2016: 794-799 - [c21]Mingbo Zhao, Tommy W. S. Chow, Kim Fung Tsang:
Vehicle route planning for logistics network optimization via multiple spanning tree. INDIN 2016: 800-805 - 2015
- [j28]Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang, Fanzhang Li:
Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images. Neurocomputing 149: 1058-1073 (2015) - [j27]Ming-Bo Zhao, Bing Li, Zhou Wu, Choujun Zhan:
Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension. Neurocomputing 153: 96-107 (2015) - [j26]Ming-Bo Zhao, Tommy W. S. Chow, Zhou Wu, Zhao Zhang, Bing Li:
Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction. Inf. Sci. 324: 286-309 (2015) - [j25]Ming-Bo Zhao, Tommy W. S. Chow, Zhao Zhang, Bing Li:
Automatic image annotation via compact graph based semi-supervised learning. Knowl. Based Syst. 76: 148-165 (2015) - [j24]Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao, Fanzhang Li:
Bilinear low-rank coding framework and extension for robust image recovery and feature representation. Knowl. Based Syst. 86: 143-157 (2015) - [j23]Ming-Bo Zhao, Choujun Zhan, Zhou Wu, Peng Tang:
Semi-Supervised Image Classification Based on Local and Global Regression. IEEE Signal Process. Lett. 22(10): 1666-1670 (2015) - [j22]Yuchen Liang, Zhao Zhang, Weiming Jiang, Ming-Bo Zhao, Fanzhang Li:
Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels. IEEE Signal Process. Lett. 22(12): 2411-2415 (2015) - [j21]Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao:
A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction. ACM Trans. Intell. Syst. Technol. 6(1): 9:1-9:26 (2015) - [j20]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood. IEEE Trans. Knowl. Data Eng. 27(9): 2362-2376 (2015) - [c20]Zhao Zhang, Weiming Jiang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Lei Jia:
Projective Label Propagation by Label Embedding. CAIP (2) 2015: 470-481 - [c19]Mingbo Zhao, Tommy W. S. Chow:
Wireless sensor network fault detection via semi-supervised local kernel density estimation. ICIT 2015: 1495-1500 - [c18]Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao:
Semi-supervised label consistent dictionary learning for machine fault classification. INDIN 2015: 1124-1129 - [c17]Zhao Zhang, Li Zhang, Ming-Bo Zhao, Weiming Jiang, Yuchen Liang, Fanzhang Li:
Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation. ICMR 2015: 139-146 - 2014
- [j19]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li:
Soft label based Linear Discriminant Analysis for image recognition and retrieval. Comput. Vis. Image Underst. 121: 86-99 (2014) - [j18]Xiaohang Jin, Fang Yuan, Tommy W. S. Chow, Ming-Bo Zhao:
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification. Eng. Appl. Artif. Intell. 30: 118-128 (2014) - [j17]Ming-Bo Zhao, Xiaohang Jin, Zhao Zhang, Bing Li:
Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification. Expert Syst. Appl. 41(7): 3391-3401 (2014) - [j16]Peng Tang, Ming-Bo Zhao, Tommy W. S. Chow:
Text style analysis using trace ratio criterion patch alignment embedding. Neurocomputing 136: 201-212 (2014) - [j15]Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao:
Similarity preserving low-rank representation for enhanced data representation and effective subspace learning. Neural Networks 53: 81-94 (2014) - [j14]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li:
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction. Neural Networks 55: 83-97 (2014) - [j13]Ming-Bo Zhao, Rosa H. M. Chan, Tommy W. S. Chow, Peng Tang:
Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer's Disease. IEEE Signal Process. Lett. 21(10): 1192-1196 (2014) - [j12]Xiaohang Jin, Ming-Bo Zhao, Tommy W. S. Chow, Michael G. Pecht:
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis. IEEE Trans. Ind. Electron. 61(5): 2441-2451 (2014) - [c16]Zhao Zhang, Fanzhang Li, Ming-Bo Zhao:
Transformed Neighborhood Propagation. ICPR 2014: 3792-3797 - [c15]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning. IJCNN 2014: 2927-2934 - [c14]Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao, Fanzhang Li:
Robust bilinear matrix recovery by Tensor Low-Rank Representation. IJCNN 2014: 2945-2951 - 2013
- [j11]Ming-Bo Zhao, Rosa H. M. Chan, Peng Tang, Tommy W. S. Chow, Savio W. H. Wong:
Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia. IEEE Signal Process. Lett. 20(5): 431-434 (2013) - [j10]Zhao Zhang, Tommy W. S. Chow, Ming-Bo Zhao:
M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction. IEEE Trans. Cybern. 43(1): 180-191 (2013) - [j9]Zhao Zhang, Shuicheng Yan, Mingbo Zhao:
Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification. IEEE Trans. Image Process. 22(12): 4640-4651 (2013) - [j8]Zhao Zhang, Tommy W. S. Chow, Ming-Bo Zhao:
Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization. IEEE Trans. Knowl. Data Eng. 25(5): 1148-1161 (2013) - [j7]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification. IEEE Trans. Knowl. Data Eng. 25(10): 2192-2205 (2013) - [c13]Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao:
Handwriting representation and recognition through a sparse projection and low-rank recovery framework. IJCNN 2013: 1-8 - [c12]Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao:
Robust image representation and decomposition by Laplacian regularized latent low-rank representation. IJCNN 2013: 1-7 - [c11]Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang:
ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition. IJCNN 2013: 1-7 - [c10]Ming-Bo Zhao, Zhao Zhang, Zhao Zhang:
Learning from local and global discriminative information for semi-supervised dimensionality reduction. IJCNN 2013: 1-8 - [c9]Ming-Bo Zhao, Zhao Zhang, Zhao Zhang:
A soft label based linear discriminant analysis for semi-supervised dimensionality reduction. IJCNN 2013: 1-8 - 2012
- [j6]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition. Neural Networks 36: 97-111 (2012) - [j5]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow:
Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction. Pattern Recognit. 45(4): 1482-1499 (2012) - [j4]Haijun Zhang, Q. M. Jonathan Wu, Tommy W. S. Chow, Ming-Bo Zhao:
A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition. Pattern Recognit. 45(5): 1866-1876 (2012) - [j3]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction. Pattern Recognit. 45(12): 4466-4493 (2012) - [j2]Ming-Bo Zhao, Tommy W. S. Chow, Zhao Zhang:
Random walk-based fuzzy linear discriminant analysis for dimensionality reduction. Soft Comput. 16(8): 1393-1409 (2012) - [c8]Zhou Wu, Lu Xu, Tommy W. S. Chow, Ming-Bo Zhao:
Local cooperation delivers global optimization. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c7]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow:
On the Theoretical and Computational Analysis between SDA and Lap-LDA. ICTAI 2012: 122-129 - [c6]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction. IJCNN 2012: 1-8 - [c5]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Zhou Wu:
On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA. IJCNN 2012: 1-7 - 2011
- [c4]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow:
ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction. IJCNN 2011: 145-152
2000 – 2009
- 2009
- [j1]Zhaohui Gan, Ming-Bo Zhao, Tommy W. S. Chow:
Induction machine fault detection using clone selection programming. Expert Syst. Appl. 36(4): 8000-8012 (2009) - 2007
- [c3]Yan Chen, Benoit Boulet, Ping Chen, Mingbo Zhao:
Data Fusion based on RBF Neural Network for Error Compensation in Resistance Strain Gauge Force Transducers. SNPD (3) 2007: 86-91 - [c2]Ping Chen, Mingbo Zhao, Shaoqing Jia:
The Application of Fuzzy Neural Network in the Iatrical Monitor. SNPD (3) 2007: 98-103 - [c1]Jingjing Wang, Mingbo Zhao:
Scatternet Formation Algorithm in Multi-hop Environment based on Bionics. SNPD (3) 2007: 325-330
Coauthor Index
[j76] [c63] [j73] [j72] [c61] [c60] [j68] [c58] [c57] [c54] [c52] [i9] [j66] [j64] [c51] [c50] [c49] [i8] [i6] [j61] [j59] [j56] [j51] [c45] [i5] [j48] [j46] [i4] [i3] [i2] [j44] [j42] [c38] [c37] [c36] [j39] [j38] [j37] [j34] [j33] [c35] [c32] [c30] [j30] [j29] [c25] [c24] [c23] [c22] [j28] [j26] [j25] [j24] [j22] [j21] [j20] [c20] [c18] [c17] [j19] [j17] [j15] [j14] [c16] [c15] [c14] [j10] [j9] [j8] [j7] [c13] [c12] [c11] [c10] [c9] [j6] [j5] [j3] [j2] [c7] [c6] [c5] [c4]
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