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

  A batch rival penalized expectation-maximization algorithm for gaussian mixture clustering with automatic model selection

  Wen, J., Zhang, D., CHEUNG, Y. M., Liu, H. & You, X., 2012, In: Computational and Mathematical Methods in Medicine. 2012, 425730.

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

  Open Access

  • Gaussian Mixture 100%
  • Expectation Maximization 95%
  • Expectation-maximization Algorithm 86%
  • Batch 80%
  • Model Selection 71%
  8 Citations (Scopus)

• A blind watermarking scheme using new nontensor product wavelet filter banks

  You, X., Du, L., CHEUNG, Y. M. & Chen, Q., Dec 2010, In: IEEE Transactions on Image Processing. 19, 12, p. 3271-3284 14 p., 5497149.

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

  • Watermarking 100%
  • Filter banks 97%
  • Wavelet decomposition 27%
  • Wavelet transforms 20%
  128 Citations (Scopus)

• A branch and bound irredundant graph algorithm for large-scale MLCS problems

  Wang, C., Wang, Y. & Cheung, Y., Nov 2021, In: Pattern Recognition. 119, 13 p., 108059.

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

  • Graph algorithms 100%
  • Branch and bound method 13%
  • Bottles 11%
  • NP-hard 9%
  • Genes 9%
  7 Citations (Scopus)

• A Branch Elimination-based Efficient Algorithm for Large-scale Multiple Longest Common Subsequence Problem

  Wei, S., Wang, Y. & Cheung, Y. M., 30 Sept 2021, (E-pub ahead of print) In: IEEE Transactions on Knowledge and Data Engineering.

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

  • Longest Common Subsequence 100%
  • Elimination 68%
  • Branch 61%
  • Efficient Algorithms 60%
  • Directed Acyclic Graph 42%
  1 Citation (Scopus)

• A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network

  Zhang, Z., Peng, Q., Fu, S., Wang, W., Cheung, Y-M., Zhao, Y., Yu, S. & You, X., 4 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

  • Semantics 100%
  • Feedback 92%
  • Superpixels 48%
  • Network architecture 34%
  • Labels 31%
  1 Citation (Scopus)

• A Cooperative Learning-Based Clustering Approach to Lip Segmentation Without Knowing Segment Number

  CHEUNG, Y. M., Li, M., Peng, Q. & Philip Chen, C. L., Jan 2017, In: IEEE Transactions on Neural Networks and Learning Systems. 28, 1, p. 80-93 14 p.

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

  • Entropy 100%
  12 Citations (Scopus)

• Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation

  Liu, X., Peng, S. J., CHEUNG, Y. M., Tang, Y. Y. & Du, J. X., 1 Dec 2014, In: IET Image Processing. 8, 12, p. 824-832 9 p.

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

  Open Access

  • Independent component analysis 100%
  • Image segmentation 85%
  • Probability distributions 85%
  • Masks 85%
  • Statistics 67%
  3 Citations (Scopus)

• Adaptive chunk-based dynamic weighted majority for imbalanced data streams with concept drift

  Lu, Y., Cheung, Y. M. & Yan Tang, Y., Aug 2020, In: IEEE Transactions on Neural Networks and Learning Systems. 31, 8, p. 2764-2778 15 p.

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

  • Data streams 100%
  • Classifiers 69%
  • Statistical tests 16%
  • Experiments 5%
  23 Citations (Scopus)

• Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection

  Yi, S., He, Z., Jing, X. Y., Li, Y., CHEUNG, Y. M. & Nie, F., Jun 2020, In: IEEE Transactions on Neural Networks and Learning Systems. 31, 6, p. 2153-2163 11 p., 8818654.

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

  • Principal component analysis 100%
  • Feature extraction 81%
  20 Citations (Scopus)

• A divide-and-conquer learning approach to radial basis function networks

  CHEUNG, Y. M. & Huang, R. B., Jun 2005, In: Neural Processing Letters. 21, 3, p. 189-206 18 p.

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

  • Radial basis function networks 100%
  • Learning 61%
  • Psychological Generalization 55%
  • Decomposition 40%
  • Time series 24%
  5 Citations (Scopus)

• Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval

  Liu, X., Cheung, Y. M., Hu, Z., He, Y. & Zhong, B., Aug 2021, In: IEEE Transactions on Emerging Topics in Computational Intelligence. 5, 4, p. 607-619 13 p., 9139424.

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

  • Hashing 100%
  • Retrieval 97%
  • Fusion 83%
  • Fusion reactions 62%
  • Semantics 52%
  10 Citations (Scopus)

• A fast implementation of radial basis function networks with application to time series forecasting

  Huang, R. B. & CHEUNG, Y. M., 2004, In: Lecture Notes in Computer Science. 2690, p. 143-150 8 p.

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

  • Radial Basis Function Network 100%
  • Time Series Forecasting 99%
  • RBF Network 75%
  • Radial basis function networks 75%
  • Learning 57%
  1 Citation (Scopus)

• Agglomerative fuzzy K-Means clustering algorithm with selection of number of clusters

  Li, M. J., NG, K. P., CHEUNG, Y. M. & Huang, J. Z., Nov 2008, In: IEEE Transactions on Knowledge and Data Engineering. 20, 11, p. 1519-1534 16 p., 4515866.

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

  • K-means Algorithm 100%
  • K-means Clustering 97%
  • Fuzzy Clustering 94%
  • Clustering Algorithm 85%
  • Number of Clusters 82%
  213 Citations (Scopus)

• A high-capacity reversible data hiding method for homomorphic encrypted images

  Wu, H. T., CHEUNG, Y. M., Yang, Z. & Tang, S., Jul 2019, In: Journal of Visual Communication and Image Representation. 62, p. 87-96 10 p.

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

  • Embeddings (Algorithms) 100%
  • Cryptography 68%
  • Pixels 62%
  31 Citations (Scopus)

• A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance

  Peng, Q., CHEUNG, Y. M., You, X. & Tang, Y. Y., Jan 2017, In: IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans. 47, 1, p. 86-97 12 p., 7479564.

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

  • Color 100%
  • Textures 37%
  • Chemical analysis 30%
  32 Citations (Scopus)

• A local region based approach to lip tracking

  CHEUNG, Y. M., Liu, X. & You, X., Sept 2012, In: Pattern Recognition. 45, 9, p. 3336-3347 12 p.

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

  • Color 100%
  • Experiments 16%
  28 Citations (Scopus)

• A maximum likelihood approach to temporal factor analysis in state-space model

  CHEUNG, Y. M., Oct 2006, In: Signal Processing. 86, 10, p. 2966-2980 15 p.

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

  • Factor analysis 100%
  • Maximum likelihood 83%
  • Blind source separation 26%
  • Covariance matrix 22%
  • Hidden Markov models 22%
  3 Citations (Scopus)

• A multi-objective evolutionary algorithm using min-max strategy and sphere coordinate transformation

  Liu, H. L., Wang, Y. & CHEUNG, Y. M., Jan 2009, In: Intelligent Automation and Soft Computing. 15, 3, p. 361-384 24 p.

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

  • Multi-objective Evolutionary Algorithm 100%
  • Coordinate Transformation 77%
  • Min-max 69%
  • Weighted Sums 67%
  • Evolutionary algorithms 58%
  41 Citations (Scopus)

• Analysis of gene expression data using rpem algorithm in normal mixture model with dynamic adjustment of learning rate

  Zhao, X. M., CHEUNG, Y. M. & Huang, D. S., Jun 2010, In: International Journal of Pattern Recognition and Artificial Intelligence. 24, 4, p. 651-666 16 p.

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

  • Gene expression 100%
  • Dynamic models 73%
  • Microarrays 34%
  • Genes 29%
  • Monitoring 17%
  10 Citations (Scopus)

• An evolutionary algorithm for TD-LTE resource allocation based on adaptive fairness threshold

  Wang, Q., Liu, H. L., Li, Z. H., CHEUNG, Y. M. & Zhang, J., 2014, In: Lecture Notes in Computer Science. 8886, p. 713-722 10 p.

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

  • Long division 100%
  • Resource Allocation 74%
  • Fairness 72%
  • Evolutionary Algorithms 68%
  • Long Term Evolution (LTE) 64%
  2 Citations (Scopus)

• A New Distance Metric Exploiting Heterogeneous Interattribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering

  Zhang, Y. & Cheung, Y. M., 1 Feb 2022, In: IEEE Transactions on Cybernetics. 52, 2, p. 758-771 14 p.

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

  • Distance measurement 100%
  • Entropy 68%
  • Costs 30%
  • Experiments 28%
  6 Citations (Scopus)

• A New Distance Metric for Unsupervised Learning of Categorical Data

  Jia, H., CHEUNG, Y. M. & LIU, J., May 2016, In: IEEE Transactions on Neural Networks and Learning Systems. 27, 5, p. 1065-1079 15 p., 7120127.

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

  • Unsupervised learning 100%
  • Learning algorithms 72%
  78 Citations (Scopus)

• A new feature selection method for Gaussian mixture clustering

  Zeng, H. & CHEUNG, Y. M., Feb 2009, In: Pattern Recognition. 42, 2, p. 243-250 8 p.

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

  • Feature extraction 100%
  • Semantics 25%
  • Maximum likelihood 17%
  • Fans 17%
  • Pattern recognition 16%
  61 Citations (Scopus)

• A new information-theoretic based ICA algorithm for blind signal separation

  CHEUNG, Y. M. & Xu, L., 2003, In: International Journal of Computers and Applications. 25, 2, p. 106-110 5 p.

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

  • Independent component analysis 100%
  • Polynomials 23%
  • Experiments 10%
  1 Citation (Scopus)

• A new quantifying crossover with ternary representation

  Ming, L., Wang, Y. & CHEUNG, Y. M., Jan 2009, In: Intelligent Automation and Soft Computing. 15, 3, p. 343-360 18 p.

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

  • Crossover 100%
  • Schema 98%
  • Ternary 86%
  • Mathematical operators 78%
  • Genetic algorithms 30%

• An Expensive Multi-objective Optimization Algorithm Based on Decision Space Compression

  Liu, H., Gu, F. & Cheung, Y. M., 7 Jul 2021, In: International Journal of Pattern Recognition and Artificial Intelligence. 35, 7, 19 p., 2159039.

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

  Open Access

  File

  • Multiobjective optimization 100%
  1 Downloads (Pure)

• An extended ASLD trading system to enhance portfolio management

  Hung, K. K., CHEUNG, Y. M. & Xu, L., Mar 2003, In: IEEE Transactions on Neural Networks. 14, 2, p. 413-425 13 p.

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

  • Supervised learning 100%
  • Profitability 16%
  • Experiments 6%
  16 Citations (Scopus)

• A novel approach to extracting features from motif content and protein composition for protein sequence classification

  Zhao, X. M., CHEUNG, Y. M. & Huang, D. S., Oct 2005, In: Neural Networks. 18, 8, p. 1019-1028 10 p.

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

  • Amino Acid Motifs 100%
  • Support Vector Machine 95%
  • Proteins 71%
  • Chemical analysis 50%
  • Support vector machines 37%
  44 Citations (Scopus)

• A novel hybrid GA/RBFNN technique for protein sequences classification

  Zhao, X. M., Huang, D. S. & CHEUNG, Y. M., May 2005, In: Protein and Peptide Letters. 12, 4, p. 383-386 4 p.

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

  • Protein 100%
  • Proteins 89%
  9 Citations (Scopus)

• A novel Markov pairwise protein sequence alignment method for sequence comparison

  Zhao, X. M., CHEUNG, Y. M. & Huang, D. S., Oct 2005, In: Protein and Peptide Letters. 12, 7, p. 665-669 5 p.

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

  • Sequence Alignment 100%
  • Computational Biology 38%
  • Protein 34%
  • Proteins 30%
  • Amino Acids 28%
  4 Citations (Scopus)

• ApLeaf: An efficient android-based plant leaf identification system

  Zhao, Z. Q., Ma, L. H., CHEUNG, Y. M., Wu, X., Tang, Y. & Chen, C. L. P., 3 Mar 2015, In: Neurocomputing. 151, P3, p. 1112-1119 8 p.

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

  • Plant Leaves 100%
  • Identification (control systems) 57%
  • Mobile Applications 57%
  • Flowers 28%
  • Databases 26%
  61 Citations (Scopus)

• AR²Det: An Accurate and Real-time Rotational One-Stage Ship Detector in Remote Sensing Images

  Yang, Y., Tang, X., Cheung, Y., Zhang, X., Liu, F., Ma, J. & Jiao, L., Jan 2022, In: IEEE Transactions on Geoscience and Remote Sensing. 60, 14 p., 5605414.

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

  • Remote sensing 100%
  • ship 84%
  • detector 84%
  • Ships 78%
  • Detectors 75%
  12 Citations (Scopus)

• Arabic font recognition based on diacritics features

  Lutf, M., You, X., CHEUNG, Y. M. & Philip Chen, C. L., Feb 2014, In: Pattern Recognition. 47, 2, p. 672-684 13 p.

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

  • Optical character recognition 100%
  • Image resolution 89%
  • Pattern recognition 73%
  • Costs 63%
  • Experiments 29%
  20 Citations (Scopus)

• A Rough-to-Fine Evolutionary Multiobjective Optimization Algorithm

  Gu, F., Liu, H-L., Cheung, Y. & Zheng, M., Dec 2022, In: IEEE Transactions on Cybernetics. 52, 12, p. 13472-13485 14 p.

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

  • Multiobjective optimization 100%
  • Weights and Measures 40%
  • Systems Analysis 24%
  • Refining 20%
  • Decomposition 15%
  6 Citations (Scopus)

• A sequential quantization strategy for data embedding and integrity verification

  CHEUNG, Y. M. & Wu, H. T., Aug 2007, In: IEEE Transactions on Circuits and Systems for Video Technology. 17, 8, p. 1007-1016 10 p.

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

  • Watermarking 100%
  • Authentication 38%
  • Modulation 34%
  48 Citations (Scopus)

• A theoretical analysis of multiscale entropy under the inverse Gaussian distribution

  Tang, Y., Pei, W., Wang, K., He, Z. & CHEUNG, Y. M., Sept 2009, In: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 19, 9, p. 3161-3168 8 p.

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

  • Inverse Gaussian Distribution 100%
  • Gaussian distribution 85%
  • Theoretical Analysis 71%
  • Entropy 63%
  • 1/f Noise 30%
  2 Citations (Scopus)

• A Total-variation Constrained Permutation Model for Revealing Common Copy Number Patterns

  Zhang, Y., CHEUNG, Y. M. & Su, W., 1 Dec 2017, In: Scientific Reports. 7, 1, 9666.

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

  Open Access

  • DNA Sequence Analysis 100%
  • DNA Copy Number Variations 75%
  • Genome 67%
  • DNA Replication 49%
  • Noise 45%
  1 Citation (Scopus)

• Attention guided deep audio-face fusion for efficient speaker naming

  Liu, X., Geng, J., Ling, H. & CHEUNG, Y. M., Apr 2019, In: Pattern Recognition. 88, p. 557-568 12 p.

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

  • Fusion reactions 100%
  • Long short-term memory 72%
  • Electric fuses 64%
  • Convolution 61%
  • Experiments 22%
  16 Citations (Scopus)

• A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering

  Zhang, Y., CHEUNG, Y. M. & Tan, K. C., Jan 2020, In: IEEE Transactions on Neural Networks and Learning Systems. 31, 1, p. 39-52 14 p., 8671525.

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

  • Distance measurement 100%
  • Entropy 68%
  • Data mining 33%
  • Machine learning 29%
  • Chemical analysis 26%
  18 Citations (Scopus)

• A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains

  Pang, M., Wang, B., Huang, S., Cheung, Y. M. & Wen, B., 1 Apr 2022, In: IEEE Transactions on Information Forensics and Security. 17, p. 1544-1557 14 p.

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

  • Discriminators 100%
  • Face recognition 38%
  3 Citations (Scopus)

• Automatic lip localization under face illumination with shadow consideration

  Li, M. & CHEUNG, Y. M., Dec 2009, In: Signal Processing. 89, 12, p. 2425-2434 10 p.

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

  • Lighting 100%
  • Binary sequences 82%
  • Security of data 58%
  • Speech recognition 58%
  • Communication 31%
  25 Citations (Scopus)

• Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours

  Liu, X., CHEUNG, Y. M., Peng, S. J. & Peng, Q., 20 Nov 2014, In: Neurocomputing. 144, p. 47-57 11 p.

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

  • Echocardiography 100%
  • Mitral Valve 69%
  • Tissue 58%
  • Motion tracking 42%
  • Repair 28%
  12 Citations (Scopus)

• Automatic motion capture data denoising via filtered subspace clustering and low rank matrix approximation

  Liu, X., CHEUNG, Y. M., Peng, S. J., Cui, Z., Zhong, B. & Du, J. X., Dec 2014, In: Signal Processing. 105, p. 350-362 13 p.

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

  • Motion capture 100%
  • Trajectories 24%
  • Recovery 11%
  23 Citations (Scopus)

• Automatic Video Object Segmentation Based on Visual and Motion Saliency

  Peng, Q. & CHEUNG, Y. M., Dec 2019, In: IEEE Transactions on Multimedia. 21, 12, p. 3083-3094 12 p., 8721129.

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

  • Superpixels 100%
  • Labeling 73%
  • Experiments 26%
  7 Citations (Scopus)

• Bayesian Low-Tubal-Rank Robust Tensor Factorization with Multi-Rank Determination

  Zhou, Y. & Cheung, Y. M., 1 Jan 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 1, p. 62-76 15 p.

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

  • Factorization 100%
  • Tensors 99%
  • Tensor 81%
  • Tensor Rank 39%
  • Trade-offs 29%
  21 Citations (Scopus)

• Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem

  Lu, Y., Cheung, Y. M. & Tang, Y. Y., Sept 2020, In: IEEE Transactions on Neural Networks and Learning Systems. 31, 9, p. 3525-3539 15 p.

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

  • Classifiers 100%
  • Recovery 95%
  • Sampling 33%
  • Costs 17%
  • Experiments 16%
  24 Citations (Scopus)

• Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number

  CHEUNG, Y. M. & Jia, H., Aug 2013, In: Pattern Recognition. 46, 8, p. 2228-2238 11 p.

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

  • Clustering algorithms 100%
  • Learning algorithms 91%
  85 Citations (Scopus)

• Classifying protein sequences using hydropathy blocks

  Huang, D. S., Zhao, X. M., Huang, G. B. & CHEUNG, Y. M., Dec 2006, In: Pattern Recognition. 39, 12, p. 2293-2300 8 p.

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

  • Proteins 100%
  • Support vector machines 9%
  • Classifiers 8%
  66 Citations (Scopus)

• Competitive and dynamic cooperative learning algorithm

  Li, T., Pei, W. J., Wang, S. P. & CHEUNG, Y. M., Jan 2010, In: Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University. 31, 1, p. 102-108 7 p.

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

  • Learning algorithms 100%
  • Molecular Cluster 78%
  • Seed 62%
  • Image segmentation 28%
  • Mixture 26%
  1 Citation (Scopus)

• Concept Drift-Tolerant Transfer Learning in Dynamic Environments

  Yang, C., Cheung, Y. M., Ding, J. & Tan, K. C., Aug 2022, In: IEEE Transactions on Neural Networks and Learning Systems. 33, 8, p. 3857-3871 15 p.

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

  • Transfer learning 100%
  • Classifiers 14%
  • Set theory 13%
  5 Citations (Scopus)