A RPCL-CLP architecture for financial time series forecasting. - Yiu-ming Cheung; Wai-Man Leung; Lei Xu 001 (ICNN, 1995)

Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor with application to financial investment. - Yiu-ming Cheung; Helen Z. H. Lai; Lei Xu 001 (CIFEr, 1996)

Trading mechanisms and return volatility: empirical investigation on Shanghai Stock Exchange based on a neural network model. - Helen Z. H. Lai; Yiu-ming Cheung; Lei Xu 001 (CIFEr, 1996)

Application of adaptive RPCL-CLP with trading system to foreign exchange investment. - Yiu-ming Cheung; Helen Z. H. Lai; Lei Xu 001 (ICNN, 1996)

Adaptive supervised learning decision networks for traders and portfolios. - Lei Xu 001; Yiu-ming Cheung (CIFEr, 1997)

Some further studies on detection the number of clusters. - Yiu-Ming Cheung; Lei Xu 001 (ICNN, 1997)

Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment. - Yiu-ming Cheung; Wai-Man Leung; Lei Xu 001 (Int. J. Neural Syst., 1997)

Rival Penalized Competitive Learning Based Separator on Binary Sources Separation. - Yiu-ming Cheung; Lei Xu 001 (ICONIP, 1998)

An ICA algorithm with adaptive-learned polynomial nonlinearity for signal separation. - Yiu-Ming Cheung; Lei Xu 001 (IJCNN, 1999)

Autoregressive signal separation approach with seesaw-mapping technique on temporal source separation. - Yiu-Ming Cheung; Lei Xu 001 (IJCNN, 1999)

An empirical method to select dominant independent components in ICA for time series analysis. - Yiu-Ming Cheung; Lei Xu 001 (IJCNN, 1999)

The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis. - Yiu-ming Cheung; Lei Xu 001 (NSIP, 1999)

A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of States. - Yiu-ming Cheung; Lei Xu 001 (IJCNN (4), 2000)

Rival Penalized Competitive Learning Based Approach for Discrete-Valued Source Separation. - Yiu-ming Cheung; Lei Xu 001 (Int. J. Neural Syst., 2000)

An RPCL-based approach for Markov model identification with unknown state number. - Yiu-ming Cheung; Lei Xu 001 (IEEE Signal Process. Lett., 2000)

Dual Auto-Regressive Modelling Approach To Gaussian Process Identification. - Yiu-ming Cheung (ICME, 2001)

Independent component ordering in ICA time series analysis. - Yiu-ming Cheung; Lei Xu 001 (Neurocomputing, 2001)

k-Means - A Generalized k-Means Clustering Algorithm with Unknown Cluster Number. - Yiu-ming Cheung (IDEAL, 2002)

Expectation-MiniMax Approach to Clustering Analysis. - Yiu-ming Cheung (ICANN, 2003)

A Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting. - Rong-bo Huang; Yiu-ming Cheung (IDEAL, 2003)

A divide-and-conquer based radial basis function network with application to recurrent modelling. - Rong-bo Huang; Yiu-ming Cheung; Lap-Tak Law (IJCNN, 2003)

Color image segmentation using rival penalized controlled competitive learning. - Lap-Tak Law; Yiu-ming Cheung (IJCNN, 2003)

Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm. - Yiu-ming Cheung; Lei Xu 001 (Neurocomputing, 2003)

k*-Means: A new generalized k-means clustering algorithm. - Yiu-ming Cheung (Pattern Recognit. Lett., 2003)

An extended ASLD trading system to enhance portfolio management. - Kei-Keung Hung; Yiu-ming Cheung; Lei Xu 001 (IEEE Trans. Neural Networks, 2003)

Dual multivariate auto-regressive modeling in state space for temporal signal separation. - Yiu-ming Cheung; Lei Xu 001 (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Correction to "dual multivariate auto-regressive modeling in state space for temporal signal separation". - Yiu-ming Cheung; Lei Xu 001 (IEEE Trans. Syst. Man Cybern. Part B, 2003)

A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Selection. - Yiu-ming Cheung (ICPR (4), 2004)

A Novel Hybrid GA/SVM System for Protein Sequences Classification. - Xing-Ming Zhao; De-Shuang Huang; Yiu-ming Cheung; Hong-Qiang Wang; Xin Huang (IDEAL, 2004)

A novel mixed pixels unmixing method for multispectral images. - Jun-Hua Han; De-Shuang Huang; Zhan-Li Sun; Yiu-ming Cheung (IJCNN, 2004)

A competitive and cooperative learning approach to robust data clustering. - Yiu-ming Cheung (Neural Networks and Computational Intelligence, 2004)

A new approach to blind source separation with global optimal property. - Yiu-ming Cheung; Hai-Lin Liu 001 (Neural Networks and Computational Intelligence, 2004)

Rival penalized self-organizing map. - Lap-Tak Law; Yiu-ming Cheung (Neural Networks and Computational Intelligence, 2004)

Preference Bi-objective Evolutionary Algorithm for Constrained Optimization. - Yuping Wang 003; Dalian Liu; Yiu-ming Cheung (CIS (1), 2005)

Discrimination of Patchoulis of Different Geographical Origins with Two-Dimensional IR Correlation Spectroscopy and Wavelet Transform. - Daqi Zhan; Suqin Sun; Yiu-ming Cheung (CIS (1), 2005)

A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks. - Fei Han 001; Deshuang Huang; Yiu-ming Cheung; Guang-Bin Huang (ISNN (1), 2005)

A Learning Framework for Blind Source Separation Using Generalized Eigenvalues. - Hai-Lin Liu 001; Yiu-ming Cheung (ISNN (2), 2005)

A fragile watermarking scheme for 3D meshes. - Hao-Tian Wu; Yiu-ming Cheung (MM&Sec, 2005)

A New Fragile Mesh Watermarking Algorithm for Authentication. - Hao-Tian Wu; Yiu-ming Cheung (SEC, 2005)

A Reversible Data Hiding Approach to Mesh Authentication. - Hao-Tian Wu; Yiu-ming Cheung (Web Intelligence, 2005)

Extracting nonlinear features for multispectral images by FCMC and KPCA. - Zhan-Li Sun; De-Shuang Huang; Yiu-ming Cheung (Digit. Signal Process., 2005)

Using FCMC, FVS, and PCA techniques for feature extraction of multispectral images. - Zhan-Li Sun; De-Shuang Huang; Yiu-ming Cheung; Jiming Liu 001; Guang-Bin Huang (IEEE Geosci. Remote. Sens. Lett., 2005)

A novel approach to extracting features from motif content and protein composition for protein sequence classification. - Xing-Ming Zhao; Yiu-ming Cheung; De-Shuang Huang (Neural Networks, 2005)

A Divide-and-Conquer Learning Approach to Radial Basis Function Networks. - Yiu-ming Cheung; Rong-bo Huang (Neural Process. Lett., 2005)

Maximum Weighted Likelihood via Rival Penalized EM for Density Mixture Clustering with Automatic Model Selection. - Yiu-ming Cheung (IEEE Trans. Knowl. Data Eng., 2005)

On Rival Penalization Controlled Competitive Learning for Clustering with Automatic Cluster Number Selection. - Yiu-ming Cheung (IEEE Trans. Knowl. Data Eng., 2005)

Feature Weighted Rival Penalized EM for Gaussian Mixture Clustering: Automatic Feature and Model Selections in a Single Paradigm. - Yiu-ming Cheung; Hong Zeng 001 (CIS, 2006)

Clustering of SNP Data with Application to Genomics. - Michael K. Ng 001; Mark Junjie Li; Sio Iong Ao; Pak Chung Sham; Yiu-ming Cheung; Joshua Zhexue Huang (ICDM Workshops, 2006)

Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines. - Xing-Ming Zhao; De-Shuang Huang; Shiwu Zhang; Yiu-ming Cheung (ICIC (3), 2006)

A High-Capacity Data Hiding Method for Polygonal Meshes. - Hao-Tian Wu; Yiu-ming Cheung (Information Hiding, 2006)

A Novel Asymptotic Deterministic Randomness Based Watermarking Scheme. - Kai Wang 020; Wenjiang Pei; Zhenya He; Yiu-ming Cheung (IIH-MSP, 2006)

Public Authentication of 3D Mesh Models. - Hao-Tian Wu; Yiu-ming Cheung (Web Intelligence, 2006)

Erratum to "Extracting nonlinear features for multispectral images by FCMC and KPCA" [Digital Signal Processing 15 (2005) 331-346]. - Zhan-Li Sun; Deshuang Huang; Yiu-ming Cheung (Digit. Signal Process., 2006)

Classifying protein sequences using hydropathy blocks. - De-Shuang Huang; Xing-Ming Zhao; Guang-Bin Huang; Yiu-ming Cheung (Pattern Recognit., 2006)

A maximum likelihood approach to temporal factor analysis in state-space model. - Yiu-ming Cheung (Signal Process., 2006)

On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm. - Zhenyue Zhang; Yiu-ming Cheung (IEEE Trans. Knowl. Data Eng., 2006)

An Improved Competitive and Cooperative Learning Approach for Data Clustering. - Shao-ping Wang; Wenjiang Pei; Yiu-ming Cheung (CIS, 2007)

A Maximum Weighted Likelihood Approach to Simultaneous Model Selection and Feature Weighting in Gaussian Mixture. - Yiu-ming Cheung; Hong Zeng 001 (ICANN (1), 2007)

Mechanism Design for Clustering Aggregation by Selfish Systems. - Pinata Winoto; Yiu-ming Cheung; Jiming Liu 001 (ICDM, 2007)

A Ranking-Based Evolutionary Algorithm for Constrained Optimization Problems. - Yibo Hu; Yiu-ming Cheung; Yuping Wang 003 (ICNC (4), 2007)

A Bi-Objective Model for Shelf Space Allocation Using a Hybrid Genetic Algorithm. - Cunli Liang; Yiu-ming Cheung; Yuping Wang 003 (IJCNN, 2007)

Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection. - Hong Zeng 001; Yiu-ming Cheung (IJCNN, 2007)

A Batch Rival Penalized EM Algorithm for Gaussian Mixture Clustering with Automatic Model Selection. - Dan Zhang 008; Yiu-ming Cheung (RSKT, 2007)

A Sequential Quantization Strategy for Data Embedding and Integrity Verification. - Yiu-ming Cheung; Hao-Tian Wu (IEEE Trans. Circuits Syst. Video Technol., 2007)

Rival-Model Penalized Self-Organizing Map. - Yiu-ming Cheung; Lap-Tak Law (IEEE Trans. Neural Networks, 2007)

A Novel Motion Based Lip Feature Extraction for Lip-Reading. - Meng Li 015; Yiu-ming Cheung (CIS (1), 2008)

Cooperation Controlled Competitive Learning Approach for Data Clustering. - Tao Li; Wenjiang Pei; Shao-ping Wang; Yiu-ming Cheung (CIS (1), 2008)

Palmprint identification based on non-separable wavelet filter banks. - Jie Wu; Xinge You; Yuan Yan Tang; Yiu-ming Cheung (ICPR, 2008)

An Adaptive Image Watermarking Scheme Using Non-separable Wavelets and Support Vector Regression. - Liang Du; Xinge You; Yiu-ming Cheung (IDEAL, 2008)

A Data Mapping Method for Steganography and Its Application to Images. - Hao-Tian Wu; Jean-Luc Dugelay; Yiu-ming Cheung (Information Hiding, 2008)

Feature Selection for Clustering on High Dimensional Data. - Hong Zeng 001; Yiu-ming Cheung (PRICAI, 2008)

Hong Kong Chapter Report [Family Corner]. - Yiu-ming Cheung; Michael Chau (IEEE Comput. Intell. Mag., 2008)

On blind source separation using generalized eigenvalues with a new metric. - Hai-Lin Liu 001; Yiu-ming Cheung (Neurocomputing, 2008)

Symbolic Vector Dynamics Approach to Initial Condition and Control Parameters Estimation of Coupled Map Lattices. - Kai Wang 020; Wenjiang Pei; Shao-ping Wang; Yiu-ming Cheung; Zhenya He (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters. - Mark Junjie Li; Michael K. Ng 001; Yiu-ming Cheung; Joshua Zhexue Huang (IEEE Trans. Knowl. Data Eng., 2008)

Texture Image Retrieval Using Non-separable Wavelets and Local Binary Patterns. - Xin Liu 011; Xinge You; Yiu-ming Cheung (CIS (1), 2009)

A Locally Gaussian Mixture Based RBF Network for Classification of Chinese Herbal Infrared Spectrum Fingerprint. - Taijun Wang; Yiu-ming Cheung (CIS (1), 2009)

Kernel Learning for Local Learning Based Clustering. - Hong Zeng 001; Yiu-ming Cheung (ICANN (1), 2009)

Writer Identification Using a Hybrid Method Combining Gabor Wavelet and Mesh Fractal Dimension. - Jianjun Zhang; Zhenyu He 007; Yiu-ming Cheung; Xinge You (IDEAL, 2009)

Feature Selection for Local Learning Based Clustering. - Hong Zeng 001; Yiu-ming Cheung (PAKDD, 2009)

A Multi-Objective Evolutionary Algorithm Using Min-Max Strategy And Sphere Coordinate Transformation. - Hai-Lin Liu 001; Yuping Wang 003; Yiu-ming Cheung (Intell. Autom. Soft Comput., 2009)

A New Quantifying Crossover With Ternary Representation. - Liang Ming; Yuping Wang 003; Yiu-ming Cheung (Intell. Autom. Soft Comput., 2009)

A Theoretical Analysis of Multiscale Entropy under the Inverse Gaussian Distribution. - Ying Tang; Wenjiang Pei; Kai Wang 020; Zhenya He; Yiu-ming Cheung (Int. J. Bifurc. Chaos, 2009)

SMART: a subspace clustering algorithm that automatically identifies the appropriate number of clusters. - Liping Jing; Mark Junjie Li; Michael K. Ng 001; Yiu-ming Cheung; Joshua Zhexue Huang (Int. J. Data Min. Model. Manag., 2009)

Editorial. - Yiu-ming Cheung; Yuping Wang 003; Xinge You; Patrick Shen-Pei Wang (Int. J. Pattern Recognit. Artif. Intell., 2009)

A new feature selection method for Gaussian mixture clustering. - Hong Zeng 001; Yiu-ming Cheung (Pattern Recognit., 2009)

Automatic lip localization under face illumination with shadow consideration. - Meng Li 015; Yiu-ming Cheung (Signal Process., 2009)

Local Kernel Regression Score for Selecting Features of High-Dimensional Data. - Yiu-ming Cheung; Hong Zeng 001 (IEEE Trans. Knowl. Data Eng., 2009)

A Novel Automatic Lip Reading Method Based on Polynomial Fitting. - Meng Li 015; Yiu-ming Cheung (AMT, 2010)

A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering. - Yiu-ming Cheung; Hong Jia (ICANN (3), 2010)

Automatic Segmentation of Color Lip Images Based on Morphological Filter. - Meng Li 015; Yiu-ming Cheung (ICANN (1), 2010)

A Lip Contour Extraction Method Using Localized Active Contour Model with Automatic Parameter Selection. - Xin Liu 011; Yiu-ming Cheung; Meng Li 015; Hai-Lin Liu 001 (ICPR, 2010)

Retinal Blood Vessels Segmentation Using the Radial Projection and Supervised Classification. - Qinmu Peng; Xinge You; Long Zhou; Yiu-ming Cheung (ICPR, 2010)

Writer identification using fractal dimension of wavelet subbands in gabor domain. - Zhenyu He 001; Xinge You; Long Zhou; Yiu-ming Cheung; Jianwei Du (Integr. Comput. Aided Eng., 2010)

Analysis of Gene Expression Data Using Rpem Algorithm in Normal Mixture Model with Dynamic Adjustment of Learning Rate. - Xing-Ming Zhao; Yiu-ming Cheung; De-Shuang Huang (Int. J. Pattern Recognit. Artif. Intell., 2010)

SKM-SNP: SNP markers detection method. - Yang Liu 100; Mark Junjie Li; Yiu-ming Cheung; Pak Chung Sham; Michael K. Ng 001 (J. Biomed. Informatics, 2010)

Reversible Watermarking by Modulation and Security Enhancement. - Hao-Tian Wu; Yiu-ming Cheung (IEEE Trans. Instrum. Meas., 2010)

A Blind Watermarking Scheme Using New Nontensor Product Wavelet Filter Banks. - Xinge You; Liang Du; Yiu-ming Cheung; Qiuhui Chen (IEEE Trans. Image Process., 2010)

Off-line Text-independent Writer Identification Using a Mixture of Global and Local Features. - Yiu-ming Cheung; Junping Deng (CIS, 2011)

A robust lip tracking algorithm using localized color active contours and deformable models. - Xin Liu 011; Yiu-ming Cheung (ICASSP, 2011)

Map-MRF based LIP segmentation without true segment number. - Yiu-ming Cheung; Meng Li 015 (ICIP, 2011)

Active contours with a novel distribution metric for complex object segmentation. - Shu-Juan Peng; Xin Liu 011; Yiu-ming Cheung (ICIP, 2011)

Feature Selection and Kernel Learning for Local Learning-Based Clustering. - Hong Zeng 001; Yiu-ming Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Segmentation of retinal blood vessels using the radial projection and semi-supervised approach. - Xinge You; Qinmu Peng; Yuan Yuan 001; Yiu-ming Cheung; Jiajia Lei (Pattern Recognit., 2011)

A multi-boosted HMM approach to lip password based speaker verification. - Xin Liu 011; Yiu-ming Cheung (ICASSP, 2012)

Subspace based active contours with a joint distribution metric for semi-supervised natural image segmentation. - Shu-Juan Peng; Xin Liu 011; Yiu-ming Cheung (ICASSP, 2012)

Salient region detection using local and global saliency. - Yiu-ming Cheung; Qinmu Peng (ICPR, 2012)

Structured sparse coding for image representation based on L1-graph. - Weihua Ou; Xinge You; Yiu-ming Cheung; Qinmu Peng; Mingming Gong; Xiubao Jiang (ICPR, 2012)

Unsupervised Feature Selection with Feature Clustering. - Yiu-ming Cheung; Hong Jia (Web Intelligence, 2012)

Sample Outlier Detection Based on Local Kernel Regression. - Qinmu Peng; Yiu-ming Cheung (Web Intelligence, 2012)

A Batch Rival Penalized Expectation-Maximization Algorithm for Gaussian Mixture Clustering with Automatic Model Selection. - Jiechang Wen; Dan Zhang 008; Yiu-ming Cheung; Hai-Lin Liu 001; Xinge You (Comput. Math. Methods Medicine, 2012)

A local region based approach to lip tracking. - Yiu-ming Cheung; Xin Liu 011; Xinge You (Pattern Recognit., 2012)

Secure Watermarking on 3D Geometry via ICA and Orthogonal Transformation. - Hao-Tian Wu; Yiu-ming Cheung (Trans. Data Hiding Multim. Secur., 2012)

Semi-Supervised Maximum Margin Clustering with Pairwise Constraints. - Hong Zeng 001; Yiu-ming Cheung (IEEE Trans. Knowl. Data Eng., 2012)

Feature Weighted Kernel Clustering with Application to Medical Data Analysis. - Hong Jia; Yiu-ming Cheung (Brain and Health Informatics, 2013)

Online Learning towards Big Data Analysis in Health Informatics. - Jing Wang 021; Zhong-Qiu Zhao; Xuegang Hu; Yiu-ming Cheung; Haibo Hu 001; Fangqing Gu (Brain and Health Informatics, 2013)

Reversible Image Watermarking Using a Diagonal Structure for Prediction. - Hao-Tian Wu; Yuan Liu; Yiu-ming Cheung (CIS, 2013)

Kernel Fuzzy Similarity Measure-Based Spectral Clustering for Image Segmentation. - Yifang Yang; Yuping Wang 003; Yiu-ming Cheung (HCI (5), 2013)

Online Group Feature Selection. - Jing Wang 021; Zhong-Qiu Zhao; Xuegang Hu; Yiu-ming Cheung; Meng Wang 001; Xindong Wu 001 (IJCAI, 2013)

A Unified Metric for Categorical and Numerical Attributes in Data Clustering. - Yiu-ming Cheung; Hong Jia (PAKDD (2), 2013)

On Solving Complex Optimization Problems with Objective Decomposition. - Yiu-ming Cheung; Fangqing Gu (SMC, 2013)

Hashing fingerprints for identity de-duplication. - Yi Wang 017; Pong C. Yuen; Yiu-ming Cheung (WIFS, 2013)

Topology Aware Data-Driven Inverse Kinematics. - Edmond S. L. Ho; Hubert P. H. Shum; Yiu-ming Cheung; Pong C. Yuen (Comput. Graph. Forum, 2013)

Lip segmentation and tracking under MAP-MRF framework with unknown segment number. - Yiu-ming Cheung; Meng Li 015; Xiaochun Cao (Neurocomputing, 2013)

Guest Editorial. - Yuping Wang 003; Yiu-ming Cheung; Hai-Lin Liu 001 (J. Comput., 2013)

Improving clustering with pairwise constraints: a discriminative approach. - Hong Zeng 001; Aiguo Song; Yiu-ming Cheung (Knowl. Inf. Syst., 2013)

Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number. - Yiu-ming Cheung; Hong Jia (Pattern Recognit., 2013)

Camera Calibration Based on the Common Self-polar Triangle of Sphere Images. - Haifei Huang; Hui Zhang 062; Yiu-ming Cheung (ACCV (2), 2014)

Plant Leaf Identification via a Growing Convolution Neural Network with Progressive Sample Learning. - Zhong-Qiu Zhao; Bao-Jian Xie; Yiu-ming Cheung; Xindong Wu 001 (ACCV (2), 2014)

Online objective reduction for many-objective optimization problems. - Yiu-ming Cheung; Fangqing Gu (IEEE Congress on Evolutionary Computation, 2014)

An Exemplar-Based Hidden Markov Model with Discriminative Visual Features for Lipreading. - Xin Liu 011; Yiu-ming Cheung (CIS, 2014)

Discretizing Numerical Attributes in Decision Tree for Big Data Analysis. - Yiqun Zhang 006; Yiu-ming Cheung (ICDM Workshops, 2014)

A direct search algorithm based on kernel density estimator for nonlinear optimization. - Yiu-ming Cheung; Fangqing Gu (ICNC, 2014)

Fingerprint Geometric Hashing Based on Binary Minutiae Cylinder Codes. - Yi Wang 017; Lipeng Wang; Yiu-ming Cheung; Pong Chi Yuen (ICPR, 2014)

A new distance metric for unsupervised learning of categorical data. - Hong Jia; Yiu-ming Cheung (IJCNN, 2014)

An Evolutionary Algorithm for TD-LTE Resource Allocation Based on Adaptive Fairness Threshold. - Qiang Wang 008; Hai-Lin Liu 001; Zhenhua Li 005; Yiu-ming Cheung; Jun Zhang 003 (SEAL, 2014)

A supervised correlation analysis for score-level calibration of cross-device fingerprint recognition. - Fangqing Gu; Yi Wang 017; Yiu-ming Cheung (SMC, 2014)

Ultra local binary pattern for image texture analysis. - Yiu-ming Cheung; Junping Deng (SPAC, 2014)

Video color conceptualization using optimization. - Xiaochun Cao; Yujie Zhang; Xiaojie Guo 001; Yiu-ming Cheung (Sci. China Inf. Sci., 2014)

On Solving WCDMA Network Planning Using Iterative Power Control Scheme and Evolutionary Multiobjective Algorithm [Application Notes]. - Hai-Lin Liu 001; Fangqing Gu; Yiu-ming Cheung; Shengli Xie; Jun Zhang 003 (IEEE Comput. Intell. Mag., 2014)

Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation. - Xin Liu 011; Shu-Juan Peng; Yiu-ming Cheung; Yuan Yan Tang; Ji-Xiang Du (IET Image Process., 2014)

Outlier Detection Based on Local Kernel Regression for Instance Selection. - Qinmu Peng; Yiu-ming Cheung (Int. J. Comput. Intell. Syst., 2014)

Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours. - Xin Liu 011; Yiu-ming Cheung; Shu-Juan Peng; Qinmu Peng (Neurocomputing, 2014)

Cooperative and penalized competitive learning with application to kernel-based clustering. - Hong Jia; Yiu-ming Cheung; Jiming Liu 001 (Pattern Recognit., 2014)

Arabic font recognition based on diacritics features. - Mohammed Lutf; Xinge You; Yiu-ming Cheung; C. L. Philip Chen (Pattern Recognit., 2014)

Learning a mixture model for clustering with the completed likelihood minimum message length criterion. - Hong Zeng 001; Yiu-ming Cheung (Pattern Recognit., 2014)

Automatic motion capture data denoising via filtered subspace clustering and low rank matrix approximation. - Xin Liu 011; Yiu-ming Cheung; Shu-Juan Peng; Zhen Cui 001; Bineng Zhong; Ji-Xiang Du (Signal Process., 2014)

Learning Multi-Boosted HMMs for Lip-Password Based Speaker Verification. - Xin Liu 011; Yiu-ming Cheung (IEEE Trans. Inf. Forensics Secur., 2014)

Lip Segmentation under MAP-MRF Framework with Automatic Selection of Local Observation Scale and Number of Segments. - Yiu-ming Cheung; Meng Li 015; Xiaochun Cao; Xinge You (IEEE Trans. Image Process., 2014)

Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization. - Yiu-ming Cheung; Jian Lou 001 (ACML, 2015)

An evolutionary algorithm based on decomposition for multimodal optimization problems. - Fangqing Gu; Yiu-ming Cheung; Jie Luo (CEC, 2015)

The common self-polar triangle of concentric circles and its application to camera calibration. - Haifei Huang; Hui Zhang 062; Yiu-ming Cheung (CVPR, 2015)

Texture Image Segmentation Using Spectral Clustering. - Hui Du; Yuping Wang 003; Xiaopan Dong; Yiu-ming Cheung (HCI (27), 2015)

Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization. - Yiu-ming Cheung; Jian Lou 001 (IJCAI, 2015)

Unsupervised Facial Pose Grouping via Garbor Subspace Affinity and Self-Tuning Spectral Clustering. - Xin Liu 011; Yiu-ming Cheung (SMC, 2015)

Modeling spatial relations of human body parts for indexing and retrieving close character interactions. - Edmond S. L. Ho; Jacky C. P. Chan; Yiu-ming Cheung; Pong C. Yuen (VRST, 2015)

Expanding dictionary for robust face recognition: pixel is not necessary while sparsity is. - Zhong-Qiu Zhao; Yiu-ming Cheung; Haibo Hu 001; Xindong Wu 001 (IET Comput. Vis., 2015)

ApLeaf: An efficient android-based plant leaf identification system. - Zhong-Qiu Zhao; Lin-Hai Ma; Yiu-ming Cheung; Xindong Wu 001; Yuan Yan Tang; Chun-Lung Philip Chen (Neurocomputing, 2015)

Optimal WCDMA network planning by multiobjective evolutionary algorithm with problem-specific genetic operation. - Fangqing Gu; Hai-Lin Liu 001; Yiu-ming Cheung; Shengli Xie (Knowl. Inf. Syst., 2015)

Single object tracking via robust combination of particle filter and sparse representation. - Shuangyan Yi; Zhenyu He 001; Xinge You; Yiu-ming Cheung (Signal Process., 2015)

Eye Gaze Tracking With a Web Camera in a Desktop Environment. - Yiu-ming Cheung; Qinmu Peng (IEEE Trans. Hum. Mach. Syst., 2015)

Learning Compact Binary Codes for Hash-Based Fingerprint Indexing. - Yi Wang 017; Lipeng Wang; Yiu-ming Cheung; Pong C. Yuen (IEEE Trans. Inf. Forensics Secur., 2015)

Multi-view Latent Space Learning Based on Local Discriminant Embedding. - Yue Zhao; Xinge You; Yantao Wei; Shi Yin; Dacheng Tao; Yiu-ming Cheung (CCBD, 2016)

Anonymized Distance Filter in Hamming Space. - Yi Wang 017; Jianwu Wan; Yiu-ming Cheung; Pong C. Yuen (CCBR, 2016)

Scalable Spectral k-Support Norm Regularization for Robust Low Rank Subspace Learning. - Yiu-ming Cheung; Jian Lou 001 (CIKM, 2016)

A Renewable Energy Cooperation Scheme for OFDM Systems Using Evolutionary Many-Objective Optimization Algorithm. - Qiang Wang 008; Hai-Lin Liu 001; Yiu-Ming Cheung (CIS, 2016)

Homography Estimation from the Common Self-Polar Triangle of Separate Ellipses. - Haifei Huang; Hui Zhang 062; Yiu-Ming Cheung (CVPR, 2016)

The common self-polar triangle of separate circles: Properties and applications to camera calibration. - Haifei Huang; Hui Zhang 062; Yiu-ming Cheung (ICIP, 2016)

Simultaneous Dual-Views Reconstruction with Adaptive Dictionary and Low-Rank Representation. - Shuangyan Yi; Zhenyu He 001; Yi Li 042; Yiu-Ming Cheung; Wensheng Chen (ICPR, 2016)

Single image super-resolution with non-local balanced low-rank matrix restoration. - Xinge You; Weiyong Xue; Jiajia Lei; Peng Zhang 040; Yiu-ming Cheung; Yuanyan Tang; Naiding Zhou (ICPR, 2016)

Quality preserved data summarization for fast hierarchical clustering. - Yiqun Zhang 006; Yiu-ming Cheung; Yang Liu 007 (IJCNN, 2016)

Efficient single image dehazing via scene-adaptive segmentation and improved dark channel model. - He Zhang; Xin Liu 011; Yiu-ming Cheung (IJCNN, 2016)

Supervised Manifold Learning for Media Interestingness Prediction. - Yang Liu 007; Zhonglei Gu; Yiu-ming Cheung (MediaEval, 2016)

Hybrid Sampling with Bagging for Class Imbalance Learning. - Yang Lu 009; Yiu-ming Cheung; Yuan Yan Tang (PAKDD (1), 2016)

Audio-Visual Speaker Recognition via Multi-modal Correlated Neural Networks. - Jiajia Geng; Xin Liu 011; Yiu-ming Cheung (WI Workshops, 2016)

Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments. - Edmond S. L. Ho; Jacky C. P. Chan; Donald C. K. Chan; Hubert P. H. Shum; Yiu-ming Cheung; Pong C. Yuen (Comput. Vis. Image Underst., 2016)

Lip event detection using oriented histograms of regional optical flow and low rank affinity pursuit. - Xin Liu 011; Yiu-ming Cheung; Yuan Yan Tang (Comput. Vis. Image Underst., 2016)

Reversible data hiding in Paillier cryptosystem. - Hao-Tian Wu; Yiu-ming Cheung; Jiwu Huang (J. Vis. Commun. Image Represent., 2016)

Sparse discriminative multi-manifold embedding for one-sample face identification. - Pengyue Zhang; Xinge You; Weihua Ou; C. L. Philip Chen; Yiu-ming Cheung (Pattern Recognit., 2016)

Corrupted and occluded face recognition via cooperative sparse representation. - Zhong-Qiu Zhao; Yiu-ming Cheung; Haibo Hu 001; Xindong Wu 001 (Pattern Recognit., 2016)

Objective Extraction for Many-Objective Optimization Problems: Algorithm and Test Problems. - Yiu-ming Cheung; Fangqing Gu; Hai-Lin Liu 001 (IEEE Trans. Evol. Comput., 2016)

A New Distance Metric for Unsupervised Learning of Categorical Data. - Hong Jia; Yiu-ming Cheung; Jiming Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations. - Yang Zhou 017; Haiping Lu; Yiu-ming Cheung (AAAI, 2017)

Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition. - Meng Pang; Yiu-ming Cheung; Binghui Wang; Risheng Liu (CIKM, 2017)

Tensor Rank Estimation and Completion via CP-based Nuclear Norm. - Qiquan Shi; Haiping Lu; Yiu-ming Cheung (CIKM, 2017)

A new grouping strategy-based hybrid algorithm for large scale global optimization problems. - Haiyan Liu; Yuping Wang 003; Liwen Liu; Xiaozhi Gao 001; Yiu-ming Cheung (GECCO (Companion), 2017)

Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift. - Yang Lu 009; Yiu-ming Cheung; Yuan Yan Tang (IJCAI, 2017)

Lip Password-Based Speaker Verification Without a Priori Knowledge of Speech Language. - Yiu-ming Cheung; Yichao Zhou (ISICA (2), 2017)

Multi-view Manifold Learning for Media Interestingness Prediction. - Yang Liu 007; Zhonglei Gu; Yiu-ming Cheung; Kien A. Hua (ICMR, 2017)

Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition. - Qiquan Shi; Yiu-ming Cheung; Qibin Zhao (ECML/PKDD (1), 2017)

A Fast Objective Reduction Algorithm Based on Dominance Structure for Many Objective Optimization. - Fangqing Gu; Hai-Lin Liu 001; Yiu-ming Cheung (SEAL, 2017)

Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network. - Fangqing Gu; Ziquan Liu; Yiu-ming Cheung; Hai-Lin Liu 001 (SEAL, 2017)

Discriminant Manifold Learning via Sparse Coding for Robust Feature Extraction. - Meng Pang; Binghui Wang; Yiu-Ming Cheung; Chuang Lin 001 (IEEE Access, 2017)

Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach. - Xin Liu 011; He Zhang; Yiu-ming Cheung; Xinge You; Yuan Yan Tang (Comput. Vis. Image Underst., 2017)

Proximal average approximated incremental gradient descent for composite penalty regularized empirical risk minimization. - Yiu-ming Cheung; Jian Lou 001 (Mach. Learn., 2017)

Joint sparse principal component analysis. - Shuangyan Yi; Zhihui Lai; Zhenyu He 001; Yiu-ming Cheung; Yang Liu 007 (Pattern Recognit., 2017)

Detection Copy Number Variants from NGS with Sparse and Smooth Constraints. - Yue Zhang 045; Yiu-ming Cheung; Bo Xu; Weifeng Su (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Robust Object Tracking via Key Patch Sparse Representation. - Zhenyu He 001; Shuangyan Yi; Yiu-Ming Cheung; Xinge You; Yuan Yan Tang (IEEE Trans. Cybern., 2017)

Efficient Human Motion Retrieval via Temporal Adjacent Bag of Words and Discriminative Neighborhood Preserving Dictionary Learning. - Xin Liu 011; Gao-Feng He; Shu-Juan Peng; Yiu-ming Cheung; Yuan Yan Tang (IEEE Trans. Hum. Mach. Syst., 2017)

A Cooperative Learning-Based Clustering Approach to Lip Segmentation Without Knowing Segment Number. - Yiu-ming Cheung; Meng Li 015; Qinmu Peng; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance. - Qinmu Peng; Yiu-ming Cheung; Xinge You; Yuan Yan Tang (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Uplink Communication Efficient Differentially Private Sparse Optimization With Feature-Wise Distributed Data. - Jian Lou 001; Yiu-ming Cheung (AAAI, 2018)

Generating EEG Graphs Based on PLA for Brain Wave Pattern Recognition. - Hao Lan Zhang 001; Huanyu Zhao; Yiu-Ming Cheung; Jing He 004 (CEC, 2018)

Joint Collaborative Representation and Discriminative Projection for Pattern Classification. - Junyu Li 001; Haoliang Yuan; Loi Lei Lai; Yiu-ming Cheung (CIS, 2018)

A parameterless decomposition-based evolutionary multi-objective algorithm. - Fangqing Gu; Yiu-ming Cheung; Hai-Lin Liu 001; Zixian Lin (ICACI, 2018)

A fast hierarchical clustering approach based on partition and merging scheme. - Yiqun Zhang 006; Yiu-ming Cheung (ICACI, 2018)

Constructing weighted networks based on EEG data segmentation for brain wave pattern recognition. - Hao Lan Zhang 001; Xingsen Li; Jiming Liu 001; Yiu-ming Cheung (ICACI, 2018)

Exploiting Order Information Embedded in Ordered Categories for Ordinal Data Clustering. - Yiqun Zhang 006; Yiu-ming Cheung (ISMIS, 2018)

On incremental collaborative appearance model and regional particle filtering for lip region tracking. - Xin Liu 011; Yiu-Ming Cheung (Integr. Comput. Aided Eng., 2018)

Computational Intelligence in Astronomy: Preface. - Ping Guo 002; Yuping Wang 003; Hai-Lin Liu 001; Yiu-ming Cheung (Int. J. Comput. Intell. Syst., 2018)

Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification. - Yi Wang 017; Jianwu Wan; Jun Guo 001; Yiu-Ming Cheung; Pong C. Yuen (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Unified Sparse Subspace Learning via Self-Contained Regression. - Shuangyan Yi; Zhenyu He 001; Yiu-Ming Cheung; Wen-Sheng Chen (IEEE Trans. Circuits Syst. Video Technol., 2018)

Self-Organizing Map-Based Weight Design for Decomposition-Based Many-Objective Evolutionary Algorithm. - Fangqing Gu; Yiu-Ming Cheung (IEEE Trans. Evol. Comput., 2018)

Subspace Clustering of Categorical and Numerical Data With an Unknown Number of Clusters. - Hong Jia; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2018)

Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization. - Qiquan Shi; Haiping Lu; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2018)

Dimensionality Reduction in Multiple Ordinal Regression. - Jiabei Zeng; Yang Liu 007; Biao Leng; Zhang Xiong 001; Yiu-ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2018)

Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. - Weizhen Hu; Min Jiang 005; Xing Gao 004; Kay Chen Tan; Yiu-ming Cheung (CEC, 2019)

Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval. - Xingzhi Wang; Xin Liu 011; Shu-Juan Peng; Yiu-ming Cheung; Zhikai Hu; Nannan Wang 001 (ICDM, 2019)

A New Adaptive Hybrid Algorithm for Large-Scale Global Optimization. - Ninglei Fan; Yuping Wang 003; Junhua Liu; Yiu-ming Cheung (ISNN (1), 2019)

Triplet Fusion Network Hashing for Unpaired Cross-Modal Retrieval. - Zhikai Hu; Xin Liu 011; Xingzhi Wang; Yiu-ming Cheung; Nannan Wang 001; Yewang Chen (ICMR, 2019)

Reversible Data Hiding in Homomorphic Encrypted Images Without Preprocessing. - Hao-Tian Wu; Yiu-ming Cheung; Zhenwei Zhuang; Shaohua Tang (WISA, 2019)

Reversible Data Hiding With Image Contrast Enhancement Based on Two-Dimensional Histogram Modification. - Hao-Tian Wu; Weiqi Mai; Shuyi Meng; Yiu-Ming Cheung; Shaohua Tang (IEEE Access, 2019)

High-Capacity Reversible Data Hiding in Encrypted Images by Bit Plane Partition and MSB Prediction. - Hao-Tian Wu; Zhiyuan Yang; Yiu-Ming Cheung; Lingling Xu; Shaohua Tang (IEEE Access, 2019)

Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem. - Yang Lu 009; Yiu-ming Cheung; Yuan Yan Tang (CoRR, 2019)

Lossless Contrast Enhancement of Color Images with Reversible Data Hiding. - Hao-Tian Wu; Yue Wu; Zhihao Guan; Yiu-ming Cheung (Entropy, 2019)

A high-capacity reversible data hiding method for homomorphic encrypted images. - Hao-Tian Wu; Yiu-ming Cheung; Zhiyuan Yang; Shaohua Tang (J. Vis. Commun. Image Represent., 2019)

Attention guided deep audio-face fusion for efficient speaker naming. - Xin Liu 011; Jiajia Geng; Haibin Ling; Yiu-ming Cheung (Pattern Recognit., 2019)

Robust heterogeneous discriminative analysis for face recognition with single sample per person. - Meng Pang; Yiu-ming Cheung; Binghui Wang; Risheng Liu (Pattern Recognit., 2019)

Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization. - Meng Pang; Yiu-Ming Cheung; Risheng Liu; Jian Lou 001; Chuang Lin 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Evolutionary Many-Objective Algorithm Using Decomposition-Based Dominance Relationship. - Lei Chen 044; Hai-Lin Liu 001; Kay Chen Tan; Yiu-Ming Cheung; Yuping Wang 003 (IEEE Trans. Cybern., 2019)

Automatic Video Object Segmentation Based on Visual and Motion Saliency. - Qinmu Peng; Yiu-Ming Cheung (IEEE Trans. Multim., 2019)

Dual Pursuit for Subspace Learning. - Shuangyan Yi; Yingyi Liang; Zhenyu He 001; Yi Li 042; Yiu-Ming Cheung (IEEE Trans. Multim., 2019)

Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training. - Yiu-ming Cheung; Yiqun Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization. - Qiquan Shi; Yiu-Ming Cheung; Qibin Zhao; Haiping Lu (IEEE Trans. Neural Networks Learn. Syst., 2019)

An Ordinal Data Clustering Algorithm with Automated Distance Learning. - Yiqun Zhang 006; Yiu-ming Cheung (AAAI, 2020)

A Symmetric Points Search and Variable Grouping Method for Large-scale Multi-objective Optimization. - Dandan Tang; Yu-Ping Wang 003; Xiangjuan Wu; Yiu-ming Cheung (CEC, 2020)

Co-operative Prediction Strategy for Solving Dynamic Multi-Objective Optimization Problems. - Zhihao Zhao; Fangqing Gu; Yiu-ming Cheung (CEC, 2020)

Improved Spatio-Temporal Convolutional Neural Networks for Traffic Police Gestures Recognition. - Zhixuan Wu; Nan Ma; Yiu-ming Cheung; Jiahong Li; Qin He; Yongqiang Yao; Guoping Zhang (CIS, 2020)

Iterative Dynamic Generic Learning For Single Sample Face Recognition With A Contaminated Gallery. - Meng Pang; Yiu-ming Cheung; Qiquan Shi; Mengke Li 001 (ICME, 2020)

Hearing like Seeing: Improving Voice-Face Interactions and Associations via Adversarial Deep Semantic Matching Network. - Kai Cheng; Xin Liu 011; Yiu-ming Cheung; Rui Wang; Xing Xu 001; Bineng Zhong (ACM Multimedia, 2020)

Learning Discriminative Joint Embeddings for Efficient Face and Voice Association. - Rui Wang; Xin Liu 011; Yiu-ming Cheung; Kai Cheng; Nannan Wang 001; Wentao Fan (SIGIR, 2020)

Projection-free Online Empirical Risk Minimization with Privacy-preserving and Privacy Expiration. - Jian Lou 001; Yiu-ming Cheung (WI/IAT, 2020)

Reversible contrast enhancement for medical images with background segmentation. - Hao-Tian Wu; Qi Huang; Yiu-ming Cheung; Lingling Xu; Shaohua Tang (IET Image Process., 2020)

Fast hypervolume approximation scheme based on a segmentation strategy. - Weisen Tang; Hai-Lin Liu 001; Lei Chen 044; Kay Chen Tan; Yiu-ming Cheung (Inf. Sci., 2020)

Objective-Domain Dual Decomposition: An Effective Approach to Optimizing Partially Differentiable Objective Functions. - Yiu-ming Cheung; Fangqing Gu; Hai-Lin Liu 001; Kay Chen Tan; Han Huang 002 (IEEE Trans. Cybern., 2020)

Probabilistic Rank-One Discriminant Analysis via Collective and Individual Variation Modeling. - Yang Zhou 017; Yiu-ming Cheung (IEEE Trans. Cybern., 2020)

Synergistic Generic Learning for Face Recognition From a Contaminated Single Sample per Person. - Meng Pang; Yiu-Ming Cheung; Binghui Wang; Jian Lou 001 (IEEE Trans. Inf. Forensics Secur., 2020)

Robust Low-Rank Tensor Minimization via a New Tensor Spectral k-Support Norm. - Jian Lou 001; Yiu-Ming Cheung (IEEE Trans. Image Process., 2020)

Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift. - Yang Lu 009; Yiu-Ming Cheung; Yuan Yan Tang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem. - Yang Lu 009; Yiu-Ming Cheung; Yuan Yan Tang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Adaptive Weighted Sparse Principal Component Analysis for Robust Unsupervised Feature Selection. - Shuangyan Yi; Zhenyu He 001; Xiao-Yuan Jing; Yi Li 042; Yiu-Ming Cheung; Feiping Nie 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering. - Yiqun Zhang 006; Yiu-Ming Cheung; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Scoring Model Assisted by Frequency for Multi-Document Summarization. - Yue Yu; Mutong Wu; Weifeng Su; Yiu-ming Cheung (ICANN (5), 2021)

Reversible Data Hiding in Jpeg Images for Privacy Protection. - Yuxuan Huang; Xin Cao; Hao-Tian Wu; Yiu-ming Cheung (ICASSP, 2021)

Efficient Online Label Consistent Hashing for Large-Scale Cross-Modal Retrieval. - Jinhan Yi; Xin Liu 011; Yiu-ming Cheung; Xing Xu 001; Wentao Fan; Yi He (ICME, 2021)

Facial Structure Guided GAN for Identity-preserved Face Image De-occlusion. - Yiu-Ming Cheung; Mengke Li 001; Rong Zou (ICMR, 2021)

Cross-Graph Attention Enhanced Multi-Modal Correlation Learning for Fine-Grained Image-Text Retrieval. - Yi He; Xin Liu 011; Yiu-Ming Cheung; Shu-Juan Peng; Jinhan Yi; Wentao Fan (SIGIR, 2021)

Vertical Federated Principal Component Analysis on Feature-Wise Distributed Data. - Yiu-ming Cheung; Jian Lou 001; Feng Yu (WISE (1), 2021)

Guest Editorial: Special issue on advanced methods in optimization and Machine learning for heterogeneous data analytics. - Yiu-ming Cheung; Yuping Wang 003 (Neurocomputing, 2021)

How to Make a Query in Image Retrieval with Partial Information Extracted from Multiple Image Samples? - Sheung Wai Chan; Yiu-Ming Cheung (Int. J. Pattern Recognit. Artif. Intell., 2021)

An Expensive Multi-Objective Optimization Algorithm Based on Decision Space Compression. - Haosen Liu; Fangqing Gu; Yiu-Ming Cheung (Int. J. Pattern Recognit. Artif. Intell., 2021)

MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval. - Xin Liu 011; Zhikai Hu; Haibin Ling; Yiu-Ming Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Bayesian Low-Tubal-Rank Robust Tensor Factorization with Multi-Rank Determination. - Yang Zhou 017; Yiu-Ming Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

A branch and bound irredundant graph algorithm for large-scale MLCS problems. - Chunyang Wang; Yuping Wang 003; Yiu-Ming Cheung (Pattern Recognit., 2021)

Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering. - Yang Lu 009; Yiu-Ming Cheung; Yuan Yan Tang (IEEE Trans. Cybern., 2021)

Probabilistic Rank-One Tensor Analysis With Concurrent Regularizations. - Yang Zhou 017; Haiping Lu; Yiu-Ming Cheung (IEEE Trans. Cybern., 2021)

Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making With Big Data in Uncertain Environments. - Weiping Ding 001; Nikhil R. Pal; Chin-Teng Lin; Yiu-ming Cheung; Zehong Cao; Wenjian Luo (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval. - Xin Liu 011; Yiu-Ming Cheung; Zhikai Hu; Yi He; Bineng Zhong (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial-Spectral Attention Network. - Xu Tang; Fanbo Meng; Xiangrong Zhang; Yiu-Ming Cheung; Jingjing Ma 001; Fang Liu 034; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2021)

Hyperspectral Image Classification via Spatial Window-Based Multiview Intact Feature Learning. - Yue Zhao; Yiu-ming Cheung; Xinge You; Qinmu Peng; Jiangtao Peng; Peipei Yuan; Yufeng Shi (IEEE Trans. Geosci. Remote. Sens., 2021)

VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person. - Meng Pang; Binghui Wang; Yiu-ming Cheung; Yiran Chen 001; Bihan Wen (IEEE Trans. Inf. Forensics Secur., 2021)

An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy. - Jian Lou 001; Yiu-ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2021)

Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person. - Meng Pang; Yiu-Ming Cheung; Qiquan Shi; Mengke Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors. - Meng Pang; Binghui Wang; Shengbo Chen; Yiu-ming Cheung; Rong Zou; Wei Huang 013 (CIKM, 2022)

Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment. - Mengke Li 001; Yiu-Ming Cheung; Yang Lu 009 (CVPR, 2022)

A Branch Elimination-based Efficient Algorithm for Large-scale Multiple Longest Common Subsequence Problem (Extended Abstract). - Shiwei Wei; Yuping Wang 003; Yiu-ming Cheung (ICDE, 2022)

Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching. - Zhenning Yu; Xin Liu 011; Yiu-Ming Cheung; Minghang Zhu; Xing Xu 001; Nannan Wang 001; Taihao Li (ICDM, 2022)

Feature-Balanced Loss for Long-Tailed Visual Recognition. - Mengke Li 001; Yiu-Ming Cheung; Juyong Jiang (ICME, 2022)

FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation. - Xinyi Shang; Yang Lu 009; Yiu-Ming Cheung; Hanzi Wang (ICME, 2022)

Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering. - Yiqun Zhang 006; Yiu-ming Cheung; An Zeng (IJCAI, 2022)

Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data. - Yiu-ming Cheung; Juyong Jiang; Feng Yu; Jian Lou 001 (CoRR, 2022)

Compact Neural Networks via Stacking Designed Basic Units. - Weichao Lan; Yiu-ming Cheung; Juyong Jiang (CoRR, 2022)

Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection. - Yiliang Zhang; Yang Lu 009; Bo Han 003; Yiu-ming Cheung; Hanzi Wang (CoRR, 2022)

Spatial-temporal interaction module for action recognition. - Hui-Lan Luo; Han Chen; Yiu-Ming Cheung; Yawei Yu (J. Electronic Imaging, 2022)

A Cα-dominance-based solution estimation evolutionary algorithm for many-objective optimization. - Junhua Liu; Yuping Wang 003; Yiu-ming Cheung (Knowl. Based Syst., 2022)

Equalization ensemble for large scale highly imbalanced data classification. - Jinjun Ren; Yuping Wang 003; Mingqian Mao; Yiu-ming Cheung (Knowl. Based Syst., 2022)

Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes. - Yiqun Zhang 006; Yiu-ming Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Reversible Data Hiding With Brightness Preserving Contrast Enhancement by Two-Dimensional Histogram Modification. - Hao-Tian Wu; Xin Cao; Ruoyan Jia; Yiu-Ming Cheung (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Rough-to-Fine Evolutionary Multiobjective Optimization Algorithm. - Fangqing Gu; Hai-Lin Liu 001; Yiu-Ming Cheung; Minyi Zheng (IEEE Trans. Cybern., 2022)

Robust Tensor SVD and Recovery With Rank Estimation. - Qiquan Shi; Yiu-Ming Cheung; Jian Lou 001 (IEEE Trans. Cybern., 2022)

A New Distance Metric Exploiting Heterogeneous Interattribute Relationship for Ordinal-and-Nominal-Attribute Data Clustering. - Yiqun Zhang 006; Yiu-Ming Cheung (IEEE Trans. Cybern., 2022)

Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems. - Xiaoming Xue; Cuie Yang; Yao Hu 001; Kai Zhang 029; Yiu-Ming Cheung; Linqi Song; Kay Chen Tan (IEEE Trans. Evol. Comput., 2022)

Meta-Hashing for Remote Sensing Image Retrieval. - Xu Tang; Yuqun Yang; Jingjing Ma 001; Yiu-Ming Cheung; Chao Liu 042; Fang Liu 034; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

AR2Det: An Accurate and Real-Time Rotational One-Stage Ship Detector in Remote Sensing Images. - Yuqun Yang; Xu Tang; Yiu-Ming Cheung; Xiangrong Zhang; Fang Liu 034; Jingjing Ma 001; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2022)

A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains. - Meng Pang; Binghui Wang; Siyu Huang; Yiu-Ming Cheung; Bihan Wen (IEEE Trans. Inf. Forensics Secur., 2022)

FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval. - Xin Liu 011; Xingzhi Wang; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2022)

Concept Drift-Tolerant Transfer Learning in Dynamic Environments. - Cuie Yang; Yiu-Ming Cheung; Jinliang Ding; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2022)

Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis. - Lang Zhao; Yiqun Zhang 006; Xiaopeng Luo; Yue Zhang 045; Yiu-Ming Cheung; Kangshun Li (BIBM, 2023)

Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation. - Yan Jin; Mengke Li 001; Yang Lu 009; Yiu-ming Cheung; Hanzi Wang (CVPR, 2023)

BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning. - Shuxian Li; Liyan Song; Yiu-ming Cheung; Xin Yao 001 (ECAI, 2023)

Label-Noise Learning with Intrinsically Long-Tailed Data. - Yang Lu 009; Yiliang Zhang; Bo Han 003; Yiu-Ming Cheung; Hanzi Wang (ICCV, 2023)

Few-Shot Lip-Password Based Speaker Verification. - Zhikai Hu; Yiu-Ming Cheung; Mengke Li 001; Weichao Lan (ICIP, 2023)

Label-Semantic-Enhanced Online Hashing for Efficient Cross-modal Retrieval. - Xueting Jiang; Xin Liu 011; Yiu-Ming Cheung; Xing Xu 001; Shu-Kai Zheng; Taihao Li (ICME, 2023)

Taking a Part for the Whole: An Archetype-agnostic Framework for Voice-Face Association. - Guancheng Chen; Xin Liu 011; Xing Xu 001; Yiu-Ming Cheung; Taihao Li (ACM Multimedia, 2023)

ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification. - Shuxian Li; Liyan Song; Xiaoyu Wu; Zheng Hu; Yiu-ming Cheung; Xin Yao 001 (ECML/PKDD (2), 2023)

Special issue on fuzzy systems for biomedical science in healthcare. - Weiping Ding 001; Javier Andréu Pérez; Yiu-ming Cheung; Swagatam Das; Xiaodong Yue; Dariusz Mrozek (Appl. Soft Comput., 2023)

Federated Semi-Supervised Learning with Annotation Heterogeneity. - Xinyi Shang; Gang Huang 004; Yang Lu 009; Jian Lou 001; Bo Han 003; Yiu-ming Cheung; Hanzi Wang (CoRR, 2023)

Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition. - Mengke Li 001; Zhikai Hu; Yang Lu 009; Weichao Lan; Yiu-ming Cheung; Hui Huang 004 (CoRR, 2023)

Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge. - Xiaoge Zhang 001; Xiao-Lin Wang; Fenglei Fan; Yiu-Ming Cheung; Indranil Bose (CoRR, 2023)

A constrained multiobjective evolutionary algorithm based on adaptive constraint regulation. - Fangqing Gu; Haosen Liu; Yiu-ming Cheung; Hai-Lin Liu 001 (Knowl. Based Syst., 2023)

Grouping-based Oversampling in Kernel Space for Imbalanced Data Classification. - Jinjun Ren; Yuping Wang 003; Yiu-ming Cheung; Xiao Zhi Gao 001; Xiaofang Guo (Pattern Recognit., 2023)

SAGN: Semantic-Aware Graph Network for Remote Sensing Scene Classification. - Yuqun Yang; Xu Tang; Yiu-Ming Cheung; Xiangrong Zhang; Licheng Jiao (IEEE Trans. Image Process., 2023)

Facial Expression Guided Diagnosis of Parkinson's Disease via High-Quality Data Augmentation. - Wei Huang 013; Yintao Zhou; Yiu-ming Cheung; Peng Zhang 005; Yufei Zha; Meng Pang (IEEE Trans. Multim., 2023)

OMGH: Online Manifold-Guided Hashing for Flexible Cross-Modal Retrieval. - Xin Liu 011; Jinhan Yi; Yiu-ming Cheung; Xing Xu 001; Zhen Cui 001 (IEEE Trans. Multim., 2023)

Heuristic smoothing ant colony optimization with differential information for the traveling salesman problem. - Wei Li 078; Cancan Wang; Ying Huang 001; Yiu-ming Cheung (Appl. Soft Comput., 2023)

DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person. - Meng Pang; Binghui Wang; Mang Ye; Yiu-ming Cheung; Yiran Chen 001; Bihan Wen (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Branch Elimination-Based Efficient Algorithm for Large-Scale Multiple Longest Common Subsequence Problem. - Shiwei Wei; Yuping Wang 003; Yiu-ming Cheung (IEEE Trans. Knowl. Data Eng., 2023)

Key Point Sensitive Loss for Long-Tailed Visual Recognition. - Mengke Li 001; Yiu-Ming Cheung; Zhikai Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Highly Robust Reversible Watermarking Scheme Using Embedding Optimization and Rounded Error Compensation. - Yichao Tang; Shuai Wang; Chuntao Wang; Shijun Xiang; Yiu-Ming Cheung (IEEE Trans. Circuits Syst. Video Technol., 2023)

Identity-Preserved Complete Face Recovering Network for Partial Face Image. - Mengke Li 001; Yiu-ming Cheung (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

CIS Publication Spotlight [Publication Spotlight]. - Yongduan Song; Dongrui Wu; Carlos A. Coello Coello; Georgios N. Yannakakis; Huajin Tang; Yiu-Ming Cheung; Hussein A. Abbass (IEEE Comput. Intell. Mag., 2023)

Lossless Data Hiding in Encrypted Images Compatible With Homomorphic Processing. - Hao-Tian Wu; Yiu-Ming Cheung; Zhenwei Zhuang; Lingling Xu; Jiankun Hu (IEEE Trans. Cybern., 2023)

DC-SHADE-IF: An infeasible-feasible regions constrained optimization approach with diversity controller. - Wei Li 078; Bo Sun; Yafeng Sun; Ying Huang 001; Yiu-ming Cheung; Fangqing Gu (Expert Syst. Appl., 2023)

Graph-Based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data. - Yiqun Zhang 006; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2023)

Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. - Cuie Yang; Yiu-Ming Cheung; Jinliang Ding; Kay Chen Tan; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network. - Zhengqiang Zhang; Qinmu Peng; Sichao Fu; Wenjie Wang; Yiu-Ming Cheung; Yue Zhao; Shujian Yu; Xinge You (IEEE Trans. Neural Networks Learn. Syst., 2023)

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition. - Mengke Li 001; Zhikai Hu; Yang Lu 009; Weichao Lan; Yiu-ming Cheung; Hui Huang 004 (AAAI, 2024)

Federated Learning with Extremely Noisy Clients via Negative Distillation. - Yang Lu 009; Lin Chen; Yonggang Zhang 003; Yiliang Zhang; Bo Han 003; Yiu-ming Cheung; Hanzi Wang (AAAI, 2024)

A Bilevel Evolutionary Algorithm Based on Upper-Level-Driven Lower-Level Search. - Ning Yang; Hai-Lin Liu 001; Lei Chen 044; Yuping Wang 003; Yiu-ming Cheung (CEC, 2024)

Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers. - Mengke Li 001; Da Li; Guoqing Yang; Yiu-ming Cheung; Hui Huang 004 (ECAI, 2024)

Learning Order Forest for Qualitative-Attribute Data Clustering. - Mingjie Zhao 003; Sen Feng; Yiqun Zhang 006; Mengke Li 001; Yang Lu 009; Yiu-Ming Cheung (ECAI, 2024)

Key Points Centered Sparse Hashing for Cross-Modal Retrieval. - Zhikai Hu; Yiu-Ming Cheung; Mengke Li 001; Weichao Lan; Donglin Zhang 001 (ICASSP, 2024)

Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning. - Shenghong Cai; Yiqun Zhang 006; Xiaopeng Luo; Yiu-Ming Cheung; Hong Jia; Peng Liu (ICDCS, 2024)

MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence. - Hongduan Tian; Feng Liu 003; Tongliang Liu; Bo Du 001; Yiu-ming Cheung; Bo Han 003 (ICML, 2024)

Interpreting and Improving Large Language Models in Arithmetic Calculation. - Wei Zhang; Chaoqun Wan; Yonggang Zhang 003; Yiu-ming Cheung; Xinmei Tian 001; Xu Shen 001; Jieping Ye (ICML, 2024)

Label Disambiguation-Based Feature Selection for Partial Multi-label Learning. - Fankang Xu; Wenbin Qian; Xingxing Cai; Wenhao Shu; Jintao Huang; Yiu-Ming Cheung; Weiping Ding 001 (ICPR (7), 2024)

Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data. - Yunfan Zhang; Xiaopeng Luo; Qingsheng Chen; Rong Zou; Yiqun Zhang 006; Yiu-ming Cheung (ICPR (2), 2024)

Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values. - Pengkai Wang; Yunfan Zhang; Yiqun Zhang 006; Yang Lu 009; Mengke Li 001; Yiu-ming Cheung (IJCNN, 2024)

QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering. - Junyang Chen; Yuzhu Ji; Rong Zou; Yiqun Zhang 006; Yiu-ming Cheung (KDD, 2024)

Component-Level Oracle Bone Inscription Retrieval. - Zhikai Hu; Yiu-ming Cheung; Yonggang Zhang 003; Peiying Zhang 003; Puiling Tang (ICMR, 2024)

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition. - Mengke Li 001; Ye Liu; Yang Lu 009; Yiqun Zhang 006; Yiu-Ming Cheung; Hui Huang 004 (NeurIPS, 2024)

Learning to Shape In-distribution Feature Space for Out-of-distribution Detection. - Yonggang Zhang 003; Jie Lu 001; Bo Peng; Zhen Fang 001; Yiu-ming Cheung (NeurIPS, 2024)

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting. - Xiufeng Huang; Ruiqi Li; Yiu-ming Cheung; Ka Chun Cheung; Simon See; Renjie Wan (NeurIPS, 2024)

Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting. - Ruiqi Li; Yiu-ming Cheung (NeurIPS, 2024)

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion. - Zhenheng Tang; Yonggang Zhang 003; Peijie Dong; Yiu-ming Cheung; Amelie Chi Zhou; Bo Han 003; Xiaowen Chu 001 (NeurIPS, 2024)

Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models. - Qingyuan Zeng; Zhenzhong Wang; Yiu-ming Cheung; Min Jiang 005 (NeurIPS, 2024)

UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching. - Quanxing Zha; Xin Liu 011; Yiu-ming Cheung; Xing Xu 001; Nannan Wang 001; Jianjia Cao (SIGIR, 2024)

Trustworthy Partial Label Learning with Out-of-distribution Detection. - Jintao Huang; Yiu-Ming Cheung (CoRR, 2024)

Improve Knowledge Distillation via Label Revision and Data Selection. - Weichao Lan; Yiu-ming Cheung; Qing Xu 015; Buhua Liu; Zhikai Hu; Mengke Li 001; Zhenghua Chen (CoRR, 2024)

LSROM: Learning Self-Refined Organizing Map for Fast Imbalanced Streaming Data Clustering. - Yongqi Xu; Yujian Lee; Rong Zou; Yiqun Zhang 006; Yiu-Ming Cheung (CoRR, 2024)

Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models. - Qingyuan Zeng; Zhenzhong Wang; Yiu-ming Cheung; Min Jiang 005 (CoRR, 2024)

Attributed Graph Clustering via Generalized Quaternion Representation Learning. - Junyang Chen; Yiqun Zhang 006; Mengke Li 001; Yang Lu 009; Yiu-ming Cheung (CoRR, 2024)

Order Is All You Need for Categorical Data Clustering. - Yiqun Zhang 006; Mingjie Zhao 003; Hong Jia; Yiu-ming Cheung (CoRR, 2024)

Detecting Discrepancies Between AI-Generated and Natural Images Using Uncertainty. - Jun Nie; Yonggang Zhang 003; Tongliang Liu; Yiu-ming Cheung; Bo Han 003; Xinmei Tian 001 (CoRR, 2024)

EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning. - Wenbin Pei; Ruohao Dai; Bing Xue 001; Mengjie Zhang 001; Qiang Zhang 008; Yiu-Ming Cheung; Shuyin Xia (CoRR, 2024)

Dynamic-MLCS: Fast searching for dynamic multiple longest common subsequences in sequence stream data. - Yuanyuan Fu; Chunyang Wang; Jixin Zhu; Qun Zhang; Yiu-Ming Cheung; Yuping Wang 003 (Knowl. Based Syst., 2024)

Deep Tensor Spectral Clustering Network via Ensemble of Multiple Affinity Tensors. - Hongmin Cai; Yu Hu 004; Fei Qi 007; Bin Hu 001; Yiu-ming Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

OLCH: Online Label Consistent Hashing for streaming cross-modal retrieval. - Shu-Juan Peng; Jinhan Yi; Xin Liu 011; Yiu-ming Cheung; Zhen Cui 001; Taihao Li (Pattern Recognit., 2024)

FDLdet: A Change Detector Based on Forward Dictionary Learning for Remote Sensing Images. - Yuqun Yang; Xu Tang; Xiangrong Zhang; Jingjing Ma 001; Yiu-Ming Cheung; Licheng Jiao (IEEE Trans. Geosci. Remote. Sens., 2024)

A Robust Reversible Watermarking Scheme Using Attack-Simulation-Based Adaptive Normalization and Embedding. - Yichao Tang; Chuntao Wang; Shijun Xiang; Yiu-Ming Cheung (IEEE Trans. Inf. Forensics Secur., 2024)

Lossless Data Hiding in NTRU Cryptosystem by Polynomial Encoding and Modulation. - Hao-Tian Wu; Yiu-Ming Cheung; Zhihong Tian; Dingcai Liu; Xiangyang Luo; Jiankun Hu (IEEE Trans. Inf. Forensics Secur., 2024)

Compact Neural Network via Stacking Hybrid Units. - Weichao Lan; Yiu-Ming Cheung; Juyong Jiang; Zhikai Hu; Mengke Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Server-Client Collaborative Distillation for Federated Reinforcement Learning. - Weiming Mai; Jiangchao Yao; Chen Gong 002; Ya Zhang 002; Yiu-Ming Cheung; Bo Han 003 (ACM Trans. Knowl. Discov. Data, 2024)

CIS Publication Spotlight [Publication Spotlight]. - Yongduan Song; Dongrui Wu; Carlos A. Coello Coello; Georgios N. Yannakakis; Huajin Tang; Yiu-ming Cheung (IEEE Comput. Intell. Mag., 2024)

Learning Relationship-Enhanced Semantic Graph for Fine-Grained Image-Text Matching. - Xin Liu 011; Yi He; Yiu-Ming Cheung; Xing Xu 001; Nannan Wang 001 (IEEE Trans. Cybern., 2024)

Towards Efficient Cross-Modal Anomaly Detection Using Triple-Adaptive Network and Bi-Quintuple Contrastive Learning. - Shu-Juan Peng; Ye Fan; Yiu-ming Cheung; Xin Liu 011; Zhen Cui 001; Taihao Li (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Novel Deep Learning-Based Robust Dual-Rate Dynamic Data Modeling for Quality Prediction. - Xiangan Meng; Qiang Liu 018; Chao Yang 019; Le Zhou; Yiu-Ming Cheung (IEEE Trans. Ind. Informatics, 2024)

Relation-Aggregated Cross-Graph Correlation Learning for Fine-Grained Image-Text Retrieval. - Shu-Juan Peng; Yi He; Xin Liu 011; Yiu-ming Cheung; Xing Xu 001; Zhen Cui 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Joint Semantic Preserving Sparse Hashing for Cross-Modal Retrieval. - Zhikai Hu; Yiu-Ming Cheung; Mengke Li 001; Weichao Lan; Donglin Zhang 001; Qiang Liu 018 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Discriminative Suprasphere Embedding for Fine-Grained Visual Categorization. - Shuo Ye; Qinmu Peng; Wenju Sun; Jiamiao Xu; Yu Wang 106; Xinge You; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2024)

Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning. - Hongmin Cai; Weitian Huang; Sirui Yang; Siqi Ding; Yue Zhang 045; Bin Hu 001; Fa Zhang 001; Yiu-Ming Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Transfer Dynamic Latent Variable Modeling for Quality Prediction of Multimode Processes. - Chao Yang 019; Qiang Liu 018; Yi Liu 024; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2024)

CIS Publication Spotlight [Publication Spotlight]. - Yongduan Song; Dongrui Wu; Carlos A. Coello Coello; Georgios N. Yannakakis; Yiu-ming Cheung; Hussein A. Abbass (IEEE Comput. Intell. Mag., 2024)

Self-Tuning Transfer Dynamic Convolution Autoencoder for Quality Prediction of Multimode Processes With Shifts. - Chao Yang 019; Qiang Liu 018; Chen Wang 018; Jinliang Ding; Yiu-ming Cheung (IEEE Trans. Ind. Informatics, 2024)

Multiview Tensor Spectral Clustering via Co-Regularization. - Hongmin Cai; Yu Wang 175; Fei Qi 007; Zhuoyao Wang 001; Yiu-ming Cheung (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition. - Mengke Li 001; Yiu-ming Cheung; Yang Lu 009; Zhikai Hu; Weichao Lan; Hui Huang 004 (IEEE Trans. Artif. Intell., 2024)

Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights. - Shuxian Li; Liyan Song; Xiaoyu Wu; Zheng Hu 002; Yiu-ming Cheung; Xin Yao 001 (IEEE Trans. Knowl. Data Eng., 2024)

Cross-Modal Hashing Method With Properties of Hamming Space: A New Perspective. - Zhikai Hu; Yiu-Ming Cheung; Mengke Li 001; Weichao Lan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Brain Network Classification for Accurate Detection of Alzheimer's Disease via Manifold Harmonic Discriminant Analysis. - Hongmin Cai; Xiaoqi Sheng; Guorong Wu 001; Bin Hu 001; Yiu-Ming Cheung; Jiazhou Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

Component-Level Segmentation for Oracle Bone Inscription Decipherment. - Zhikai Hu; Yiu-ming Cheung; Yonggang Zhang 003; Peiying Zhang 003; Puiling Tang (AAAI, 2025)

GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning. - Jintao Huang; Yiu-ming Cheung; Chi-Man Vong; Wenbin Qian (AAAI, 2025)

Asynchronous Federated Clustering with Unknown Number of Clusters. - Yunfan Zhang; Yiqun Zhang 006; Yang Lu 009; Mengke Li 001; Xi Chen; Yiu-ming Cheung (AAAI, 2025)

ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning. - Quanxing Zha; Xin Liu 011; Shu-Juan Peng; Yiu-ming Cheung; Xing Xu 001; Nannan Wang 001 (CVPR, 2025)

Semantically Improved Adversarial Attack Based on Masked Language Model via Context Preservation. - Hao Tian; Hao-Tian Wu; Yiu-Ming Cheung; Junhui He; Zhihong Tian (DSN, 2025)

Robust Qualitative Data Clustering via Learnable Multi-Metric Space Fusion. - Sen Feng; Mingjie Zhao 003; Zhanpei Huang; Yuzhu Ji; Yiqun Zhang 006; Yiu-Ming Cheung (ICASSP, 2025)

Weighted Density for The Win: Accurate Subspace Density Clustering. - Maixuan Peng; Yuyang Wu; Yang Lu 009; Mengke Li 001; Yiqun Zhang 006; Yiu-Ming Cheung (ICASSP, 2025)

Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction. - Shengju Yu; Zhibin Dong; Siwei Wang 001; Pei Zhang 008; Yi Zhang 104; Xinwang Liu 002; Naiyang Guan; Tiejun Li; Yiu-ming Cheung (ICLR, 2025)

Stronger Separability, Stronger Defense: Influence-Based Backdoor Detection. - Buhua Liu; Shuo Yang; Zhiqiang Xu; Haoyi Xiong; Yiu-ming Cheung; Zeke Xie (PAKDD (1), 2025)

Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment. - Jianqi Gao 001; Hao Wu 087; Yiu-ming Cheung; Jian Cao 001; Hang Yu 006; Yonggang Zhang 003 (WWW, 2025)

HK-MOEA/D: A historical knowledge-guided resource allocation for decomposition multiobjective optimization. - Wei Li 078; Xiaolong Zeng; Ying Huang 001; Yiu-ming Cheung (Eng. Appl. Artif. Intell., 2025)

Learning unified distance metric for heterogeneous attribute data clustering. - Yiqun Zhang 006; Mingjie Zhao 003; Yizhou Chen; Yang Lu 009; Yiu-ming Cheung (Expert Syst. Appl., 2025)

SDENK: Unbiased subspace density-k-clustering. - Rong Zou; Yunfan Zhang; Mingjie Zhao 003; Zexi Tan; Yiqun Zhang 006; Yiu-Ming Cheung (Neurocomputing, 2025)

GradToken: Decoupling tokens with class-aware gradient for visual explanation of Transformer network. - Lin Cheng; Yanjie Liang; Yang Lu 009; Yiu-ming Cheung (Neural Networks, 2025)

Shaping pre-trained language models for task-specific embedding generation via consistency calibration. - Jianqi Gao 001; Hang Yu 006; Yiu-ming Cheung; Jian Cao 001; Raymond Chi-Wing Wong; Yonggang Zhang 003 (Neural Networks, 2025)

Transformer-driven feature fusion network and visual feature coding for multi-label image classification. - Pingzhu Liu; Wenbin Qian; Jintao Huang; Yanqiang Tu; Yiu-Ming Cheung (Pattern Recognit., 2025)

FN-NET: Adaptive data augmentation network for fine-grained visual categorization. - Shuo Ye; Qinmu Peng; Yiu-ming Cheung; Yu Wang 106; Ziqian Zou; Xinge You (Pattern Recognit., 2025)

A Unified Multi-Domain Face Normalization Framework for Cross-Domain Prototype Learning and Heterogeneous Face Recognition. - Meng Pang; Wenjun Zhang; Yang Lu 009; Yiu-ming Cheung; Nanrun Zhou (IEEE Trans. Inf. Forensics Secur., 2025)

UCPM: Uncertainty-Guided Cross-Modal Retrieval With Partially Mismatched Pairs. - Quanxing Zha; Xin Liu 011; Yiu-Ming Cheung; Shu-Juan Peng; Xing Xu 001; Nannan Wang 001 (IEEE Trans. Image Process., 2025)

Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images. - Xiaoge Zhang 001; Tao Wang; Chao Yan 004; Fedaa Najdawi; Kai Zhou 001; Yuan Ma; Yiu-ming Cheung; Bradley A. Malin (CoRR, 2025)

Unsupervised Dual Deep Hashing With Semantic-Index and Content-Code for Cross-Modal Retrieval. - Bin Zhang 050; Yue Zhang 045; Junyu Li 001; Jiazhou Chen; Tatsuya Akutsu; Yiu-Ming Cheung; Hongmin Cai (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction. - Wenbin Qian; Yanqiang Tu; Jintao Huang; Wenhao Shu; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2025)

Iterative Prompt Relocation for Distribution-Adaptive Visual Prompt Tuning. - Chikai Shang; Mengke Li 001; Yiqun Zhang 006; Zhen Chen 018; Jinlin Wu; Fangqing Gu; Yang Lu 009; Yiu-ming Cheung (CoRR, 2025)

Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning. - Chen Shu; Mengke Li 001; Yiqun Zhang 006; Yang Lu 009; Bo Han 003; Yiu-ming Cheung; Hanzi Wang (CoRR, 2025)

MOTEA-II: A Collaborative Multiobjective Transformation-Based Evolutionary Algorithm for Bilevel Optimization. - Lei Chen 044; Yiu-Ming Cheung; Hai-Lin Liu 001; Yutao Lai (IEEE Trans. Evol. Comput., 2025)

Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors. - Meng Pang; Binghui Wang; Mang Ye; Yiu-Ming Cheung; Yintao Zhou; Wei Huang 013; Bihan Wen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Uniform Tensor Clustering by Jointly Exploring Sample Affinities of Various Orders. - Hongmin Cai; Fei Qi 007; Junyu Li 001; Yu Hu 004; Bin Hu 001; Yue Zhang 045; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2025)

Discriminating Tensor Spectral Clustering for High-Dimension-Low-Sample-Size Data. - Yu Hu 004; Fei Qi 007; Yiu-Ming Cheung; Hongmin Cai (IEEE Trans. Neural Networks Learn. Syst., 2025)

Broad Multitask Learning System With Group Sparse Regularization. - Jintao Huang; Chuangquan Chen; Chi-Man Vong; Yiu-Ming Cheung (IEEE Trans. Neural Networks Learn. Syst., 2025)

Modality-Aware Discriminative Fusion Network for Integrated Analysis of Brain Imaging Genomics. - Xiaoqi Sheng; Hongmin Cai; Yongwei Nie; Shengfeng He; Yiu-Ming Cheung; Jiazhou Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Long-Tailed Visual Recognition via Permutation-Invariant Head-to-Tail Feature Fusion. - Mengke Li 001; Zhikai Hu; Yang Lu 009; Weichao Lan; Yiu-ming Cheung; Hui Huang 004 (CoRR, 2025)

Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis. - Weichao Lan; Yiu-Ming Cheung; Liang Lan; Juyong Jiang; Zhikai Hu (IEEE Trans. Neural Networks Learn. Syst., 2025)

Semantic-guided Fine-tuning of Foundation Model for Long-tailed Visual Recognition. - Yufei Peng; Yonggang Zhang 003; Yiu-ming Cheung (CoRR, 2025)

CIS Publication Spotlight [Publication Spotlight]. - Yongduan Song; Dongrui Wu; Carlos A. Coello Coello; Georgios N. Yannakakis; Huajin Tang; Yiu-Ming Cheung; Jun Wang 002 (IEEE Comput. Intell. Mag., 2025)

Unknown-Aware Bilateral Dependency Optimization for Defending Against Model Inversion Attacks. - Xiong Peng; Feng Liu 003; Nannan Wang 001; Long Lan; Tongliang Liu; Yiu-Ming Cheung; Bo Han 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks. - Zhaoliang Chen; Zhihao Wu 003; Ylli Sadikaj; Claudia Plant; Hong-Ning Dai; Shiping Wang; Yiu-Ming Cheung; Wenzhong Guo (IEEE Trans. Knowl. Data Eng., 2025)