Yiu Ming CHEUNG, Prof

Research Output

Research output per year 2000 2005 2006 2007 2008 2009 2010 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2022

• 147 Article
• 135 Conference contribution
• 12 Editorial
• 6 Paper
• 10 More
  • 5 Patent
  • 4 Conference article
  • 1 Letter

Research output per year

Research output per year

Search results

• Article

  Content and privacy protection in JPEG images by reversible visual transformation

  Cao, X., Huang, Y., Wu, H. T. & CHEUNG, Y. M., 1 Oct 2020, In: Applied Sciences (Switzerland). 10, 19, 6776.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • privacy 100%
  • Data privacy 71%
  • Block Like Crystal 47%
  • Chemical Transformation 43%
  • Image quality 32%
  3 Citations (Scopus)

• Contrastive Learning Assisted-Alignment for Partial Domain Adaptation

  Yang, C., Cheung, Y. M., Ding, J., Tan, K. C., Xue, B. & Zhang, M., 7 Feb 2022, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems. p. 1-14 14 p.

  Research output: Contribution to journal › Article › peer-review
  4 Citations (Scopus)

• Cooperative and penalized competitive learning with application to kernel-based clustering

  Jia, H., CHEUNG, Y. M. & LIU, J., Sept 2014, In: Pattern Recognition. 47, 9, p. 3060-3069 10 p.

  Research output: Contribution to journal › Article › peer-review

  • Learning algorithms 100%
  • Seed 62%
  23 Citations (Scopus)

• Corrupted and occluded face recognition via cooperative sparse representation

  Zhao, Z. Q., CHEUNG, Y. M., HU, H. & Wu, X., 1 Aug 2016, In: Pattern Recognition. 56, p. 77-87 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Face recognition 100%
  • Image classification 18%
  • Pixels 13%
  23 Citations (Scopus)

• Detection Copy Number Variants from NGS with Sparse and Smooth Constraints

  Zhang, Y., CHEUNG, Y. M., Xu, B. & Su, W., 1 Jul 2017, In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14, 4, p. 856-867 12 p., 7464276.

  Research output: Contribution to journal › Article › peer-review

  • Sequencing 100%
  • High-Throughput Nucleotide Sequencing 80%
  • Direction compound 40%
  • Tumors 28%
  • Data Analysis 20%
  8 Citations (Scopus)

• Dimensionality Reduction in Multiple Ordinal Regression

  Zeng, J., LIU, Y., Leng, B., Xiong, Z. & CHEUNG, Y. M., Sept 2018, In: IEEE Transactions on Neural Networks and Learning Systems. 29, 9, p. 4088-4101 14 p., 8064205.

  Research output: Contribution to journal › Article › peer-review

  • Dimensionality reduction 100%
  • Labels 25%
  • Learning systems 15%
  • Set theory 9%
  5 Citations (Scopus)

• Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction

  Pang, M., Wang, B., CHEUNG, Y. M. & Lin, C., 21 Jul 2017, In: IEEE Access. 5, p. 13978-13991 14 p., 7987691.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Image recognition 100%
  • Glossaries 84%
  • Image analysis 84%
  • Label 77%
  • Labels 74%
  10 Citations (Scopus)

• DisP+V: A Unified Framework for Disentangling Prototype and Variation from Single Sample per Person

  Pang, M., Wang, B., Ye, M., Cheung, Y. M., Chen, Y. & Wen, B., 17 Aug 2021, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems.

  Research output: Contribution to journal › Article › peer-review

  • Face recognition 100%
  • Discriminators 86%
  • Semantics 47%
  • Interpolation 29%
  • Pixels 26%
  1 Citation (Scopus)

• Dual multivariate auto-regressive modeling in state space for temporal signal separation

  CHEUNG, Y. M. & Xu, L., Jun 2003, In: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics. 33, 3, p. 386-398 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Independent component analysis 100%
  • Source separation 78%
  • Observation 37%
  • Adaptive algorithms 30%
  • Learning 19%
  27 Citations (Scopus)

• Dual Pursuit for Subspace Learning

  Yi, S., Liang, Y., He, Z., Li, Y. & CHEUNG, Y. M., Jun 2019, In: IEEE Transactions on Multimedia. 21, 6, p. 1399-1411 13 p., 8506416.

  Research output: Contribution to journal › Article › peer-review

  • Glossaries 100%
  16 Citations (Scopus)

• Efficient Human Motion Retrieval via Temporal Adjacent Bag of Words and Discriminative Neighborhood Preserving Dictionary Learning

  Liu, X., He, G. F., Peng, S. J., CHEUNG, Y. M. & Tang, Y. Y., Dec 2017, In: IEEE Transactions on Human-Machine Systems. 47, 6, p. 763-776 14 p., 7885610.

  Research output: Contribution to journal › Article › peer-review

  • dictionary 100%
  • Glossaries 89%
  • data capture 42%
  • Motion capture 35%
  • Atoms 32%
  20 Citations (Scopus)

• Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach

  Liu, X., Zhang, H., CHEUNG, Y. M., You, X. & Tang, Y. Y., Sept 2017, In: Computer Vision and Image Understanding. 162, p. 23-33 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Visibility 100%
  • Textures 80%
  • Wavelet decomposition 61%
  • Degradation 35%
  • Experiments 17%
  94 Citations (Scopus)

• Estimating initial conditions in coupled map lattices from noisy time series using symbolic vector dynamics

  Wang, K., Pei, W., He, Z. & CHEUNG, Y. M., 30 Jul 2007, In: Physics Letters, Section A: General, Atomic and Solid State Physics. 367, 4-5, p. 316-321 6 p.

  Research output: Contribution to journal › Article › peer-review

  • estimating 100%
  • signal to noise ratios 61%
  • logistics 47%
  • partitions 35%
  • turbulence 28%
  13 Citations (Scopus)

• Estimation of chaotic coupled map lattices using symbolic vector dynamics

  Wang, K., Pei, W., CHEUNG, Y. M., Shen, Y. & He, Z., 11 Jan 2010, In: Physics Letters, Section A: General, Atomic and Solid State Physics. 374, 4, p. 562-566 5 p.

  Research output: Contribution to journal › Article › peer-review

  • turbulence 100%
  5 Citations (Scopus)

• Evolutionary many-objective algorithm using decomposition-based dominance relationship

  Chen, L., Liu, H. L., Tan, K. C., CHEUNG, Y. M. & Wang, Y., Dec 2019, In: IEEE Transactions on Cybernetics. 49, 2, p. 4129-4139 11 p., 8457246.

  Research output: Contribution to journal › Article › peer-review

  • Decomposition 100%
  • Evolutionary algorithms 54%
  • Set theory 12%
  • Experiments 7%
  28 Citations (Scopus)

• Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems

  Xue, X., Yang, C., Hu, Y., Zhang, K., Cheung, Y. M., Song, L. & Tan, K. C., Dec 2022, In: IEEE Transactions on Evolutionary Computation. 26, 6, p. 1424-1438 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Optimization 100%
  • Knowledge Transfer 90%
  • Target 56%
  • Optimization Problem 47%
  • Multiobjective optimization 41%
  2 Citations (Scopus)

• Expanding dictionary for robust face recognition: Pixel is not necessary while sparsity is

  Zhao, Z. Q., CHEUNG, Y. M., HU, H. & Wu, X., 1 Oct 2015, In: IET Computer Vision. 9, 5, p. 648-654 7 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Glossaries 100%
  • Face recognition 99%
  • Pixels 77%
  • Costs 9%
  1 Citation (Scopus)

• Eye Gaze Tracking with a Web Camera in a Desktop Environment

  CHEUNG, Y. M. & Peng, Q., 1 Aug 2015, In: IEEE Transactions on Human-Machine Systems. 45, 4, p. 419-430 12 p., 7055334.

  Research output: Contribution to journal › Article › peer-review

  • Eye tracking 100%
  • Cameras 60%
  • video 42%
  • Infrared radiation 36%
  • orthography 34%
  85 Citations (Scopus)

• Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training

  CHEUNG, Y. M. & Zhang, Y., Mar 2019, In: IEEE Transactions on Neural Networks and Learning Systems. 30, 3, p. 876-890 15 p., 8423698.

  Research output: Contribution to journal › Article › peer-review

  • Hierarchical clustering 100%
  • Multilayers 83%
  • Topology 58%
  • Spatial distribution 18%
  • Merging 16%
  18 Citations (Scopus)

• Fast hypervolume approximation scheme based on a segmentation strategy

  Tang, W., Liu, H. L., Chen, L., Tan, K. C. & CHEUNG, Y. M., Jan 2020, In: Information Sciences. 509, p. 320-342 23 p.

  Research output: Contribution to journal › Article › peer-review

  • Segmentation 100%
  • Approximation Scheme 85%
  • Approximation 68%
  • Strategy 58%
  • Approximation Methods 40%
  7 Citations (Scopus)

• Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization

  Shi, Q., CHEUNG, Y. M., Zhao, Q. & LU, H., Jun 2019, In: IEEE Transactions on Neural Networks and Learning Systems. 30, 6, p. 1803-1817 15 p., 8513841.

  Research output: Contribution to journal › Article › peer-review

  • Tensors 100%
  • Feature extraction 77%
  • Decomposition 72%
  • Unsupervised learning 10%
  • Face recognition 8%
  37 Citations (Scopus)

• Feature selection and kernel learning for local learning-based clustering

  Zeng, H. & CHEUNG, Y. M., 2011, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 33, 8, p. 1532-1547 16 p., 5661784.

  Research output: Contribution to journal › Article › peer-review

  • Feature Selection 100%
  • Clustering 70%
  • Learning 67%
  • Clustering algorithms 67%
  • Feature extraction 57%
  190 Citations (Scopus)

• Further studies on temporal factor analysis: Comparison and Kalman filter-based algorithm

  CHEUNG, Y. M. & Xu, L., Jan 2003, In: Neurocomputing. 50, p. 87-103 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Time Factors 100%
  • Factor analysis 85%
  • Kalman filters 69%
  • Statistical Factor Analysis 67%
  • Gradient methods 22%
  3 Citations (Scopus)

• High-Capacity Reversible Data Hiding in Encrypted Images by Bit Plane Partition and MSB Prediction

  Wu, H. T., Yang, Z., CHEUNG, Y. M., Xu, L. & Tang, S., 13 May 2019, In: IEEE Access. 7, p. 62361-62371 11 p., 8713449.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Partition 100%
  • Cryptography 10%
  16 Citations (Scopus)

• Hong Kong chapter report

  CHEUNG, Y. M. & Chau, M., May 2008, In: IEEE Computational Intelligence Magazine. 3, 2, p. 18-20 3 p., 4490256.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Computational Intelligence 100%
  • Artificial intelligence 57%
  • Industry 50%
  • China 41%
  • Technical presentations 41%

• How to make a query in image retrieval with partial information extracted from multiple image samples?

  Chan, S. W. & Cheung, Y. M., 15 Jun 2021, In: International Journal of Pattern Recognition and Artificial Intelligence. 35, 7, 2154021.

  Research output: Contribution to journal › Article › peer-review

  • Image retrieval 100%
  • Labels 82%
  • Experiments 34%

• Hyperspectral Image Classification Based on 3-D Octave Convolution with Spatial-Spectral Attention Network

  Tang, X., Meng, F., Zhang, X., Cheung, Y. M., Ma, J., Liu, F. & Jiao, L., Mar 2021, In: IEEE Transactions on Geoscience and Remote Sensing. 59, 3, p. 2430-2447 18 p.

  Research output: Contribution to journal › Article › peer-review

  • image classification 100%
  • Image classification 97%
  • Convolution 90%
  • Deep learning 40%
  • learning 28%
  64 Citations (Scopus)

• Hyperspectral Image Classification via Spatial Window-Based Multiview Intact Feature Learning

  Zhao, Y., Cheung, Y. M., You, X., Peng, Q., Peng, J., Yuan, P. & Shi, Y., Mar 2021, In: IEEE Transactions on Geoscience and Remote Sensing. 59, 3, p. 2294-2306 13 p.

  Research output: Contribution to journal › Article › peer-review

  • image classification 100%
  • Image classification 97%
  • Labels 77%
  • learning 74%
  • method 20%
  5 Citations (Scopus)

• Identity-preserved Complete Face Recovering Network for Partial Face Image

  Li, M. & Cheung, Y. M., 17 Aug 2021, (E-pub ahead of print) In: IEEE Transactions on Emerging Topics in Computational Intelligence. p. 1-6 6 p., 9515473.

  Research output: Contribution to journal › Article › peer-review

  • Discriminators 100%
  • Partial 54%
  • Encoder 35%
  • Pipelines 20%
  • Identity function 18%
  1 Citation (Scopus)

• Image denoising by using nonseparable wavelet filters and two-dimensional principal component analysis

  You, X., Bao, Z., Xing, C. F., CHEUNG, Y. M., Tang, Y. Y. & Li, M., 1 Oct 2008, In: Optical Engineering. 47, 10, 107002.

  Research output: Contribution to journal › Article › peer-review

  • principal components analysis 100%
  • Image denoising 92%
  • Filter banks 87%
  • Principal component analysis 74%
  • filters 55%
  12 Citations (Scopus)

• Improving clustering with pairwise constraints: A discriminative approach

  Zeng, H., Song, A. & CHEUNG, Y. M., Aug 2013, In: Knowledge and Information Systems. 36, 2, p. 489-515 27 p.

  Research output: Contribution to journal › Article › peer-review

  • Clustering algorithms 100%
  • Set theory 35%
  • Experiments 19%
  4 Citations (Scopus)

• Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments

  HO, S. L., CHAN, C. P., Chan, D. C. K., Shum, H. P. H., CHEUNG, Y. M. & YUEN, P. C., 1 Jul 2016, In: Computer Vision and Image Understanding. 148, p. 97-110 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Monitoring 100%
  • Sensors 91%
  • Cameras 83%
  • Motion sensors 74%
  • Ergonomics 62%
  54 Citations (Scopus)

• Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification

  Wang, Y., Wan, J., Guo, J., Cheung, Y. M. & Yuen, P. C., 1 Jul 2018, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 7, p. 1611-1624 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Similarity Search 100%
  • Privacy Preserving 94%
  • Biometrics 74%
  • Similarity 25%
  • Montgomery multiplication 17%
  17 Citations (Scopus)

• Iterative dynamic generic learning for face recognition from a contaminated single-sample per person

  Pang, M., Cheung, Y. M., Shi, Q. & Li, M., Apr 2021, In: IEEE Transactions on Neural Networks and Learning Systems. 32, 4, p. 1560-1574 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Face recognition 100%
  • Labels 88%
  • Glossaries 40%
  • Feedback 26%
  • Biometrics 20%
  10 Citations (Scopus)

• Joint sparse principal component analysis

  Yi, S., Lai, Z., He, Z., CHEUNG, Y. M. & LIU, Y., 1 Jan 2017, In: Pattern Recognition. 61, p. 524-536 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Principal component analysis 100%
  • Dimensionality reduction 19%
  169 Citations (Scopus)

• K*-Means: A new generalized k-means clustering algorithm

  CHEUNG, Y. M., Nov 2003, In: Pattern Recognition Letters. 24, 15, p. 2883-2893 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Clustering algorithms 100%
  • Statistical methods 93%
  • Experiments 39%
  158 Citations (Scopus)

• Learnable Weighting of Intra-attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes

  Zhang, Y. & Cheung, Y. M., 1 Jul 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 7, p. 3560-3576 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Data Clustering 100%
  • Nominal or categorical data 79%
  • Weighting 67%
  • Categorical or nominal 66%
  • Attribute 64%
  3 Citations (Scopus)

• Learning a mixture model for clustering with the completed likelihood minimum message length criterion

  Zeng, H. & CHEUNG, Y. M., May 2014, In: Pattern Recognition. 47, 5, p. 2011-2030 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Distribution functions 100%
  • Parameter estimation 89%
  • Set theory 62%
  • Experiments 34%
  19 Citations (Scopus)

• Learning compact binary codes for hash-based fingerprint indexing

  Wang, Y., Wang, L., Cheung, Y. M. & Yuen, P. C., Aug 2015, In: IEEE Transactions on Information Forensics and Security. 10, 8, p. 1603-1616 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Binary codes 100%
  • Maximum likelihood 12%
  • Experiments 4%
  22 Citations (Scopus)

• Learning multi-boosted HMMs for lip-password based speaker verification

  Liu, X. & CHEUNG, Y. M., Feb 2014, In: IEEE Transactions on Information Forensics and Security. 9, 2, p. 233-246 14 p., 6675773.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Data Sharing 100%
  • Hidden Markov models 89%
  • Biometrics 87%
  33 Citations (Scopus)

• Lip event detection using oriented histograms of regional optical flow and low rank affinity pursuit

  Liu, X., CHEUNG, Y. M. & Tang, Y. Y., 1 Jul 2016, In: Computer Vision and Image Understanding. 148, p. 153-163 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Optical flows 100%
  • Flow fields 18%
  • Cameras 15%
  • Experiments 7%
  6 Citations (Scopus)

• Lip segmentation and tracking under MAP-MRF framework with unknown segment number

  CHEUNG, Y. M., Li, M. & Cao, X., 15 Mar 2013, In: Neurocomputing. 104, p. 155-169 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Lip 100%
  • Labeling 48%
  • Color 41%
  10 Citations (Scopus)

• Lip segmentation under MAP-MRF framework with automatic selection of local observation scale and number of segments

  CHEUNG, Y. M., Li, M., Cao, X. & You, X., Aug 2014, In: IEEE Transactions on Image Processing. 23, 8, p. 3397-3411 15 p., 6837537.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Pixels 100%
  • Experiments 15%
  15 Citations (Scopus)

• Local kernel regression score for selecting features of high-dimensional data

  CHEUNG, Y. M. & Zeng, H., Dec 2009, In: IEEE Transactions on Knowledge and Data Engineering. 21, 12, p. 1798-1802 5 p., 4752826.

  Research output: Contribution to journal › Article › peer-review

  • Local Regression 100%
  • Kernel Regression 82%
  • High-dimensional Data 73%
  • Unsupervised learning 72%
  • Supervised learning 67%
  34 Citations (Scopus)

• Lossless contrast enhancement of color images with reversible data hiding

  Wu, H. T., Wu, Y., Guan, Z. & CHEUNG, Y. M., 1 Sept 2019, In: Entropy. 21, 9, 910.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Contrast Enhancement 100%
  • Data Hiding 98%
  • Color Image 78%
  • Color 38%
  • color 37%
  9 Citations (Scopus)

• Maximum weighted likelihood via rival penalized EM for density mixture clustering with automatic model selection

  CHEUNG, Y. M., Jun 2005, In: IEEE Transactions on Knowledge and Data Engineering. 17, 6, p. 750-761 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Weighted Likelihood 100%
  • Expectation Maximization 93%
  • Model Selection 70%
  • Clustering 67%
  • Maximum likelihood 66%
  75 Citations (Scopus)

• Meta-hashing for Remote Sensing Image Retrieval

  Tang, X., Yang, Y., Ma, J., Cheung, Y. M., Liu, C., Liu, F., Zhang, X. & Jiao, L., Jan 2022, In: IEEE Transactions on Geoscience and Remote Sensing. 60, 19 p., 5615419.

  Research output: Contribution to journal › Article › peer-review

  • Remote sensing 100%
  • Image retrieval 99%
  • remote sensing 61%
  • learning 28%
  • Deep neural networks 25%
  11 Citations (Scopus)

• MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval

  Liu, X., Hu, Z., Ling, H. & Cheung, Y. M., 1 Mar 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 3, p. 964-981 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Hashing 100%
  • Retrieval 97%
  • Factorization 77%
  • Framework 44%
  • Scenarios 35%
  53 Citations (Scopus)

• Objective-Domain Dual Decomposition: An Effective Approach to Optimizing Partially Differentiable Objective Functions

  CHEUNG, Y. M., Gu, F., Liu, H. L., Tan, K. C. & Huang, H., Mar 2020, In: IEEE Transactions on Cybernetics. 50, 3, p. 923-934 12 p., 8485333.

  Research output: Contribution to journal › Article › peer-review

  • Decomposition 100%
  • Water 75%
  • Multiobjective optimization 52%
  • Experiments 9%
  2 Citations (Scopus)

• Objective Extraction for Many-Objective Optimization Problems: Algorithm and Test Problems

  CHEUNG, Y. M., Gu, F. & Liu, H. L., Oct 2016, In: IEEE Transactions on Evolutionary Computation. 20, 5, p. 755-772 18 p., 7386645.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Test Problems 100%
  • Optimization Problem 73%
  • Pareto Solutions 66%
  • Reduction Method 32%
  • Benchmark 28%
  56 Citations (Scopus)