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ORCIDMing Yang 0014
Person information
- affiliation: Nanjing Normal University, School of Computer Science and Technology, Nanjing, China
- affiliation (PhD 2004): Southeast University, Department of Computer Science and Engineering, Nanjing, China
Other persons with the same name
- Ming Yang — disambiguation page
- Ming Yang 0001
![[0000-0002-8209-1000]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8209-1000")
— Southeast University, School of Computer Science and Engineering, Nanjing, China - Ming Yang 0002 — Shanghai Jiao Tong University, Department of Automation, China (and 1 more)
- Ming Yang 0003 — China University of Geosciences, School of Computer Science, Wuhan, China (and 1 more)
- Ming Yang 0004 — Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, AZ, USA
- Ming Yang 0005 — McGill University, Department of Electrical and Computer Engineering, Montreal, QC, Canada
- Ming Yang 0006 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China (and 1 more)
- Ming Yang 0007 — Ant Group, Seattle, WA, USA (and 4 more)
- Ming Yang 0008 — Shandong University, Key Laboratory of Power System Intelligent Dispatch and Control / Collaborative Innovation Center of Global Energy Internet, Jinan, China
- Ming Yang 0009 — Henan Polytechnic University, School of Safety Science and Engineering, Jiaozuo, China
- Ming Yang 0010 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, China
- Ming Yang 0011 — Children's Hospital of Nanjing Medical University, Department of Radiology, China
- Ming Yang 0012 — Zhejiang University, College of Information Science & Electronic Engineering, Hangzhou, Zhejiang, China (and 1 more)
- Ming Yang 0013 — People's Public Security University of China, School of Information Network Security, Beijing, China
- Ming Yang 0015 — Harbin Institute of Technology, School of Astronautics, Control and Simulation Center, Harbin, China
- Ming Yang 0016 — Shanghai Jiaotong University, School of Electronic Information and Electrical Engineering, Department of Instrument Science and Engineering, Shanghai, China (and 1 more)
- Ming Yang 0017 — Anhui University, School of Physics and Materials Science, Key Laboratory of Opto-electronic Information Acquisition and Manipulation, Hefei, China
- Ming Yang 0018 — Nanyang Technological University, School of Computer Engineering, Singapore
- Ming Yang 0019 — Kennesaw State University, College of Computing and Software Engineering, Marietta, GA, USA (and 4 more)
- Ming Yang 0020 — Southeast University, Department of Mathematics, Nanjing, China
- Ming Yang 0021 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai, China
- Ming Yang 0022 — Yunnan University of Finance and Economics, School of Information, Kunming, China
- Ming Yang 0023 — Qilu University of Technology (Shandong Academy of Sciences), Shandong Computer Science Center, Shandong Provincial Key Laboratory of Computer Networks, Jinan, China (and 1 more)
- Ming Yang 0024 — Westfield State University, Department of Computer and Information Science, Westfield, MA, USA (and 2 more)
- Ming Yang 0025 — Bozhou University, Department of Electronics and Information Engineering, Bozhou, China (and 1 more)
- Ming Yang 0026 — Southwest University, College of Computer and Information Science, Chongqing, China
- Ming Yang 0027 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China
- Ming Yang 0028 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 1 more)
- Ming Yang 0029 — Nanyang Technological University, Centre for Information Sciences and Systems (CISS), NTU-NXP Smart Mobility Test Bed project, Singapore (and 2 more)
- Ming Yang 0030 — Guizhou University, Electrical Engineering College, Guiyang, China (and 1 more)
- Ming Yang 0031 — Coventry University, Faculty of Engineering, Environment and Computing, Coventry, UK
- Ming Yang 0032 — Zhejiang Meteorological Information Network Center, Hangzhou, China (and 2 more)
- Ming Yang 0033 — Tsinghua University, Department of Computer Science and Technology, BNRist, Beijing, China
- Ming Yang 0034 — National Cheng Kung University, Department of Geomatics, Tainan, Taiwan
- Ming Yang 0035 — National Observatory of Athens, Institute for Astronomy, Astrophysics, Space Applications & Remote Sensing, Penteli, Greece
- Ming Yang 0036 — University of North Carolina at Chapel Hill, Department of Computer Science, Chapel Hill, NC, USA
- Ming Yang 0037 — Central University of Finance and Economics, Beijing, China (and 1 more)
- Ming Yang 0038 — Delft University of Technology, Faculty of Technology, Policy and Management, Department of Values, Technology, and Innovation, The Netherlands (and 2 more)
- Ming Yang 0039 — CVTE Research, Guangzhou, China (and 1 more)
- Ming Yang 0040 — University of New Orleans, Department of Electrical Engineering, New Orleans, LA, USA
- Ming Yang 0041 — Yunnan University of Traditional Chinese Medicine, Modern Continuing Education Center, Kunming, China
- Ming Yang 0042 — Yahoo, Sunnyvale, CA, USA (and 1 more)
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2020 – today
- 2024
[j34]Ge Song, Hanwen Su, Kai Huang, Fengyi Song, Ming Yang:
Deep self-enhancement hashing for robust multi-label cross-modal retrieval. Pattern Recognit. 147: 110079 (2024)- [j33]Ge Song, Kai Huang, Hanwen Su, Fengyi Song, Ming Yang:
Deep Ranking Distribution Preserving Hashing for Robust Multi-Label Cross-Modal Retrieval. IEEE Trans. Multim. 26: 7027-7042 (2024) - [j32]Wanqi Yang, Like Xin, Lei Wang, Ming Yang, Wenzhu Yan, Yang Gao:
Iterative Multiview Subspace Learning for Unpaired Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14848-14862 (2024) - [c32]Hanwen Su, Ge Song, Kai Huang, Jiyan Wang, Ming Yang:
Cross-Modal Attention Alignment Network with Auxiliary Text Description for Zero-Shot Sketch-Based Image Retrieval. ICANN (6) 2024: 52-65 - [c31]Tianlong Zhang, Jing Lv, Ming Yang:
Semi-Parametric Style Transfer with Multi-Perspective Feature Fusion and Information-Guided Alignment. ICMR 2024: 943-950 - [c30]Yao Luo, Ming Yang, Jinhui Tang:
Dual-view Pyramid Network for Video Frame Interpolation. ACM Multimedia 2024: 6364-6373 - [i7]Like Xin, Wanqi Yang, Lei Wang, Ming Yang:
Unpaired Multi-view Clustering via Reliable View Guidance. CoRR abs/2404.17894 (2024) - [i6]Hanwen Su, Ge Song, Kai Huang, Jiyan Wang, Ming Yang:
Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval. CoRR abs/2407.00979 (2024) - [i5]Like Xin, Wanqi Yang, Lei Wang, Ming Yang:
Multi-level Reliable Guidance for Unpaired Multi-view Clustering. CoRR abs/2407.01247 (2024) - [i4]Shulei Qiu, Wanqi Yang, Ming Yang:
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification. CoRR abs/2407.02123 (2024) - 2023
- [j31]Ge Song, Kai Huang, Hanwen Su, Fengyi Song, Ming Yang:
Deep continual hashing for real-world multi-label image retrieval. Comput. Vis. Image Underst. 234: 103742 (2023) - [j30]Kaixiang Wang, Ming Yang, Wanqi Yang, Lei Wang:
Robust fused hypergraph neural networks for multi-label classification. J. Intell. Fuzzy Syst. 44(2): 3203-3218 (2023) - [j29]Wenzhu Yan, Yanmeng Li, Ming Yang:
Towards deeper match for multi-view oriented multiple kernel learning. Pattern Recognit. 134: 109119 (2023) - [j28]Ge Song, Xiaoyang Tan, Ming Yang:
Deep continual hashing with gradient-aware memory for cross-modal retrieval. Pattern Recognit. 137: 109276 (2023) - [j27]Wenzhu Yan, Ming Yang, Yanmeng Li:
Robust Low Rank and Sparse Representation for Multiple Kernel Dimensionality Reduction. IEEE Trans. Circuits Syst. Video Technol. 33(1): 1-15 (2023) - [c29]Lei Yu, Wanqi Yang, Shengqi Huang, Lei Wang, Ming Yang:
High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation. AAAI 2023: 11025-11033 - [c28]Tengfei Chu, Hao Shen, Jing Lv, Ming Yang:
Cross Attention with Deep Local Features for Few-Shot Image Classification. ICANN (10) 2023: 98-110 - [c27]Hao Shen, Tengfei Chu, Yulou Yang, Ming Yang:
Aggregate Distillation for Top-K Recommender System. ICANN (7) 2023: 259-271 - [c26]Shikun Zhang, Fengyi Song, Ge Song, Ming Yang:
SDRNet: Shape Decoupled Regression Network for 3d face Reconstruction. ICASSP 2023: 1-5 - [i3]Lei Yu, Wanqi Yang, Shengqi Huang, Lei Wang, Ming Yang:
High-level semantic feature matters few-shot unsupervised domain adaptation. CoRR abs/2301.01956 (2023) - 2022
- [j26]Kaixiang Wang, Ming Yang, Wanqi Yang, Lei Wang:
Dual-scale correlation analysis for robust multi-label classification. Appl. Intell. 52(14): 16382-16397 (2022) - [c25]Jing Wang, Shikun Zhang, Fengyi Song, Ge Song, Ming Yang:
A Lightweight Network with Multi-Stage Feature Fusion Module for Single-View 3d Face Reconstruction. ICIP 2022: 1801-1805 - [c24]Jing Wang, Shikun Zhang, Fengyi Song, Ge Song, Ming Yang:
Exploring Occlusion-Sensitive Deep Network for Single-View 3D Face Reconstruction. ICIP 2022: 1821-1825 - [c23]Yulou Yang, Hao Shen, Ming Yang:
Relation-Guided Network for Image-Text Retrieval. ICIP 2022: 1856-1860 - [c22]Wanqi Yang, Chengmei Yang, Shengqi Huang, Lei Wang, Ming Yang:
Few-Shot Unsupervised Domain Adaptation via Meta Learning. ICME 2022: 1-6 - 2021
- [j25]Ge Song, Xiaoyang Tan, Jun Zhao, Ming Yang:
Deep robust multilevel semantic hashing for multi-label cross-modal retrieval. Pattern Recognit. 120: 108084 (2021) - [j24]Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp:
SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation. IEEE Trans. Medical Imaging 40(5): 1417-1427 (2021) - [c21]Shengqi Huang, Wanqi Yang, Lei Wang, Luping Zhou, Ming Yang:
Few-shot Unsupervised Domain Adaptation with Image-to-Class Sparse Similarity Encoding. ACM Multimedia 2021: 677-685 - [i2]Shengqi Huang, Wanqi Yang, Lei Wang, Luping Zhou, Ming Yang:
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding. CoRR abs/2108.02953 (2021) - 2020
- [j23]Jing Lv, Huimin Zhang, Ming Yang, Wanqi Yang:
A novel spectral-spatial based adaptive minimum spanning forest for hyperspectral image classification. GeoInformatica 24(4): 827-848 (2020) - [j22]Wanqi Yang, Yinghuan Shi, Sang Hyun Park, Ming Yang, Yang Gao, Dinggang Shen:
An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images. IEEE J. Biomed. Health Informatics 24(8): 2278-2291 (2020) - [c20]Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp:
Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation. MICCAI (4) 2020: 216-226 - [i1]Wanqi Yang, Tong Ling, Chengmei Yang, Lei Wang, Yinghuan Shi, Luping Zhou, Ming Yang:
Class Distribution Alignment for Adversarial Domain Adaptation. CoRR abs/2004.09403 (2020)
2010 – 2019
- 2019
- [j21]Zhi-Fen He, Ming Yang:
Sparse and low-rank representation for multi-label classification. Appl. Intell. 49(5): 1708-1723 (2019) - [j20]Huimin Zhang, Ming Yang, Wanqi Yang, Jing Lv:
Spatial-aware hyperspectral image classification via multifeature kernel dictionary learning. Int. J. Data Sci. Anal. 7(2): 115-129 (2019) - [j19]Zhi-Fen He, Ming Yang, Yang Gao, Hui-Dong Liu, Yilong Yin:
Joint multi-label classification and label correlations with missing labels and feature selection. Knowl. Based Syst. 163: 145-158 (2019) - [j18]Tai Hu, Ming Yang, Wanqi Yang, Aishi Li:
An end-to-end differential network learning method for semantic segmentation. Int. J. Mach. Learn. Cybern. 10(7): 1909-1924 (2019) - [j17]Tai Hu, Ming Yang, Wanqi Yang, Aishi Li:
Correction to: An end-to-end differential network learning method for semantic segmentation. Int. J. Mach. Learn. Cybern. 10(7): 1925 (2019) - [j16]Zhi-Fen He, Ming Yang, Hui-Dong Liu, Lei Wang:
Calibrated Multi-label Classification with Label Correlations. Neural Process. Lett. 50(2): 1361-1380 (2019) - [c19]Yun He, Weiling Cai, Ming Yang, Fengyi Song:
Multi-view Locality Preserving Embedding with View Consistent Constraint for Dimension Reduction. KSEM (1) 2019: 314-326 - [c18]Ziqi Zhou, Xinna Guo, Wanqi Yang, Yinghuan Shi, Luping Zhou, Lei Wang, Ming Yang:
Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation. MLMI@MICCAI 2019: 601-610 - [c17]Ze Tian, Ming Yang:
Multi-Constraints-Based Enhanced Class-Specific Dictionary Learning for Image Classification. PAKDD (3) 2019: 436-448 - 2018
- [j15]Chunxia Zhang, Ming Yang, Jing Lv, Wanqi Yang:
An improved hybrid collaborative filtering algorithm based on tags and time factor. Big Data Min. Anal. 1(2): 128-136 (2018) - [j14]Wanqi Yang, Yinghuan Shi, Yang Gao, Ming Yang:
Online multi-view subspace learning via group structure analysis for visual object tracking. Distributed Parallel Databases 36(3): 485-509 (2018) - [j13]Weiling Cai, Ming Yang, Fengyi Song:
Image filtering method using trimmed statistics and edge preserving. IET Image Process. 12(7): 1086-1094 (2018) - [j12]Wanqi Yang, Yinghuan Shi, Yang Gao, Lei Wang, Ming Yang:
Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6276-6291 (2018) - [c16]Fengyi Song, Jinhui Tang, Ming Yang, Weiling Cai, Wanqi Yang:
Attributes Consistent Faces Generation Under Arbitrary Poses. ACCV (2) 2018: 83-97 - [c15]Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin:
Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification. ACML 2018: 1-16 - [c14]Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin:
Deep Cross-View Label Embedding with Correlation and Structure Preserved for Multi-Label Classification. ICTAI 2018: 12-19 - [c13]Aishi Li, Ming Yang, Wanqi Yang:
Feature Integration with Adaptive Importance Maps for Visual Tracking. IJCAI 2018: 779-785 - 2017
- [j11]Jianwu Wan, Hongyuan Wang, Ming Yang:
Cost Sensitive Semi-Supervised Canonical Correlation Analysis for Multi-view Dimensionality Reduction. Neural Process. Lett. 45(2): 411-430 (2017) - [c12]Zhimin Gao, Lei Wang, Luping Zhou, Ming Yang:
Infomax principle based pooling of deep convolutional activations for image retrieval. ICME 2017: 457-462 - [c11]Jianwu Wan, Ming Yang, Hongyuan Wang:
Cost Sensitive Matrix Factorization for Face Recognition. IDEAL 2017: 136-145 - 2016
- [c10]Yunxiang Tao, Ming Yang:
An Improved Recommender Model by Joint Learning of Both Similarity and Latent Feature Space. IDEAL 2016: 371-378 - [e1]Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings. Lecture Notes in Computer Science 9937, Springer 2016, ISBN 978-3-319-46256-1 [contents] - 2015
- [j10]Jianwu Wan, Ming Yang, Yin-Juan Chen:
Discriminative cost sensitive Laplacian score for face recognition. Neurocomputing 152: 333-344 (2015) - 2014
- [j9]Wanqi Yang, Yang Gao, Longbing Cao, Ming Yang, Yinghuan Shi:
mPadal: a joint local-and-global multi-view feature selection method for activity recognition. Appl. Intell. 41(3): 776-790 (2014) - [j8]Hui-Dong Liu, Ming Yang, Yang Gao, Chunyan Cui:
Local histogram specification for face recognition under varying lighting conditions. Image Vis. Comput. 32(5): 335-347 (2014) - [j7]Hui-Dong Liu, Ming Yang, Yang Gao, Yilong Yin, Liang Chen:
Bilinear discriminative dictionary learning for face recognition. Pattern Recognit. 47(5): 1835-1845 (2014) - [j6]Hui-Dong Liu, Ming Yang, Yang Gao, Longbing Cao:
Fast Local Histogram Specification. IEEE Trans. Circuits Syst. Video Technol. 24(11): 1833-1843 (2014) - [j5]Jianwu Wan, Ming Yang, Yang Gao, Yin-Juan Chen:
Pairwise Costs in Semisupervised Discriminant Analysis for Face Recognition. IEEE Trans. Inf. Forensics Secur. 9(10): 1569-1580 (2014) - [c9]Liang Chen, Ming Yang, Cheng Deng, Hujun Yin:
Linear Regression Fisher Discrimination Dictionary Learning for Hyperspectral Image Classification. IDEAL 2014: 247-254 - 2012
- [c8]Hui-Dong Liu, Ming Yang:
Local histogram specification using learned histograms for face recognition. ICIP 2012: 597-600 - 2011
- [j4]Ming Yang, Ping Yang:
A novel approach to improving C-Tree for feature selection. Appl. Soft Comput. 11(2): 1924-1931 (2011) - 2010
- [j3]Ming Yang, Jing Song:
A novel hypothesis-margin based approach for feature selection with side pairwise constraints. Neurocomputing 73(16-18): 2859-2872 (2010) - [c7]Ming Yang, Yin-Juan Chen, Gen-Lin Ji:
Semi_Fisher Score: A semi-supervised method for feature selection. ICMLC 2010: 527-532 - [c6]Ming Yang, Jie Bao, Gen-Lin Ji:
Semi-random subspace sampling for classification. ICNC 2010: 3420-3424
2000 – 2009
- 2009
- [c5]Ming Yang, Ping Yang:
MIC_FS : A novel model for feature selection by mutual information guided by clustering. IEEE ICCI 2009: 390-398 - [c4]Ming Yang, Jing Song, Gen-Lin Ji:
FCM_FS: A Simultaneous Clustering and Feature Selection Model for Classification. CSIE (4) 2009: 250-255 - [c3]Ping Yang, Ming Yang:
A Novel Algorithm Based on Conditional Entropy Established by Clustering for Feature Selection. FSKD (1) 2009: 410-415 - [c2]Ming Yang, Ping Yang:
A Novel Hypothesis-Margin Based Method Incorporating Minimal-Redundancy Criterion for Feature Selection. ICNC (2) 2009: 189-194 - 2008
- [j2]Ming Yang, Ping Yang:
A novel condensing tree structure for rough set feature selection. Neurocomputing 71(4-6): 1092-1100 (2008) - [j1]Ming Yang, Fei Wang, Ping Yang:
A Novel Feature Selection Algorithm Based on Hypothesis-Margin. J. Comput. 3(12): 27-34 (2008) - 2007
- [c1]Ming Yang, Ping Yang, Gen-Lin Ji:
Updating of Attribute Reduction for the Case of Deleting. ICFIE 2007: 884-893
Coauthor Index
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