List of works - Yiu-Ming Cheung

A Batch Rival Penalized Expectation-Maximization Algorithm for Gaussian Mixture Clustering with Automatic Model Selection ⬇️

scientific article published on January 30, 2012

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

scientific article published on 27 April 2020

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

scientific article published on 29 August 2017

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

scientific article published on 19 March 2019

A blind watermarking scheme using new nontensor product wavelet filter banks

scientific article

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

scientific article published in 2019

Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift

scientific article published on 05 December 2019

Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection

scientific article published on 28 August 2019

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

scientific article published on 01 November 2019

Concept Drift-Tolerant Transfer Learning in Dynamic Environments

scientific article published in 2022

Contrastive Learning Assisted-Alignment for Partial Domain Adaptation

scientific article published in October 2023

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

scientific article

Dimensionality Reduction in Multiple Ordinal Regression

scientific article published on 10 October 2017

Evolutionary Many-Objective Algorithm Using Decomposition-Based Dominance Relationship

scientific article published on 10 September 2018

Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems

Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training

scientific article published on 31 July 2018

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

scientific article published in 2018

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

scientific article published in 2019

Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person

scientific article published on 20 April 2020

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

scientific article published on 17 June 2014

Lossless Data Hiding in Encrypted Images Compatible With Homomorphic Processing

scientific article published in 2022

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

scientific article published on 08 October 2018

Password Guessing Based on GAN with Gumbel-Softmax

scientific article published in 2022

Probabilistic Rank-One Discriminant Analysis via Collective and Individual Variation Modeling

article

Probabilistic Rank-One Tensor Analysis With Concurrent Regularizations

scientific article published on 20 May 2019

Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization

scientific article published in October 2018

Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm

scientific article published on 15 October 2019

SKM-SNP: SNP markers detection method.

scientific article published on 17 November 2009

Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering

scientific article published on 29 May 2019

Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters

scientific article published on 03 August 2017

List of works by Yiu-Ming Cheung

A Batch Rival Penalized Expectation-Maximization Algorithm for Gaussian Mixture Clustering with Automatic Model Selection ⬇️

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

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

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

A blind watermarking scheme using new nontensor product wavelet filter banks

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

Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift

Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection

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

Concept Drift-Tolerant Transfer Learning in Dynamic Environments

Contrastive Learning Assisted-Alignment for Partial Domain Adaptation

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

Dimensionality Reduction in Multiple Ordinal Regression

Evolutionary Many-Objective Algorithm Using Decomposition-Based Dominance Relationship

Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems

Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training

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

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

Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person

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

Lossless Data Hiding in Encrypted Images Compatible With Homomorphic Processing

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

Password Guessing Based on GAN with Gumbel-Softmax

Probabilistic Rank-One Discriminant Analysis via Collective and Individual Variation Modeling

Probabilistic Rank-One Tensor Analysis With Concurrent Regularizations

Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization

Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm

SKM-SNP: SNP markers detection method.

Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering

Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters