| 2009 |
|---|
| 61 | EE | Hong Zeng,
Yiu-ming Cheung:
Feature Selection for Local Learning Based Clustering.
PAKDD 2009: 414-425 |
| 60 | EE | Yiu-ming Cheung,
Yuping Wang,
Xinge You,
Patrick Shen-Pei Wang:
Editorial.
IJPRAI 23(1): 1-2 (2009) |
| 59 | EE | Hong Zeng,
Yiu-ming Cheung:
A new feature selection method for Gaussian mixture clustering.
Pattern Recognition 42(2): 243-250 (2009) |
| 2008 |
|---|
| 58 | EE | Jie Wu,
Xinge You,
Yuan Yan Tang,
Yiu-ming Cheung:
Palmprint identification based on non-separable wavelet filter banks.
ICPR 2008: 1-4 |
| 57 | EE | Liang Du,
Xinge You,
Yiu-ming Cheung:
An Adaptive Image Watermarking Scheme Using Non-separable Wavelets and Support Vector Regression.
IDEAL 2008: 473-482 |
| 56 | EE | Hao-Tian Wu,
Jean-Luc Dugelay,
Yiu-ming Cheung:
A Data Mapping Method for Steganography and Its Application to Images.
Information Hiding 2008: 236-250 |
| 55 | EE | Hong Zeng,
Yiu-ming Cheung:
Feature Selection for Clustering on High Dimensional Data.
PRICAI 2008: 913-922 |
| 54 | EE | Mark Junjie Li,
Michael K. Ng,
Yiu-ming Cheung,
Joshua Zhexue Huang:
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters.
IEEE Trans. Knowl. Data Eng. 20(11): 1519-1534 (2008) |
| 53 | EE | Hailin Liu,
Yiu-ming Cheung:
On blind source separation using generalized eigenvalues with a new metric.
Neurocomputing 71(4-6): 973-982 (2008) |
| 2007 |
|---|
| 52 | | Yuping Wang,
Yiu-ming Cheung,
Hailin Liu:
Computational Intelligence and Security, International Conference, CIS 2006, Guangzhou, China, November 3-6, 2006, Revised Selected Papers
Springer 2007 |
| 51 | EE | Yiu-ming Cheung,
Hong Zeng:
A Maximum Weighted Likelihood Approach to Simultaneous Model Selection and Feature Weighting in Gaussian Mixture.
ICANN (1) 2007: 78-87 |
| 50 | EE | Pinata Winoto,
Yiu-ming Cheung,
Jiming Liu:
Mechanism Design for Clustering Aggregation by Selfish Systems.
ICDM 2007: 703-708 |
| 49 | EE | Hong Zeng,
Yiu-ming Cheung:
Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection.
IJCNN 2007: 2277-2282 |
| 48 | EE | Cunli Liang,
Yiu-ming Cheung,
Yuping Wang:
A Bi-Objective Model for Shelf Space Allocation Using a Hybrid Genetic Algorithm.
IJCNN 2007: 2460-2465 |
| 47 | EE | Dan Zhang,
Yiu-ming Cheung:
A Batch Rival Penalized EM Algorithm for Gaussian Mixture Clustering with Automatic Model Selection.
RSKT 2007: 252-259 |
| 46 | EE | Yiu-ming Cheung,
Hao-Tian Wu:
A Sequential Quantization Strategy for Data Embedding and Integrity Verification.
IEEE Trans. Circuits Syst. Video Techn. 17(8): 1007-1016 (2007) |
| 45 | EE | Yiu-ming Cheung,
Lap-Tak Law:
Rival-Model Penalized Self-Organizing Map.
IEEE Transactions on Neural Networks 18(1): 289-295 (2007) |
| 2006 |
|---|
| 44 | EE | Yiu-ming Cheung,
Hong Zeng:
Feature Weighted Rival Penalized EM for Gaussian Mixture Clustering: Automatic Feature and Model Selections in a Single Paradigm.
CIS 2006: 1018-1028 |
| 43 | EE | Michael K. Ng,
Mark Junjie Li,
Sio Iong Ao,
Pak Chung Sham,
Yiu-ming Cheung,
Joshua Zhexue Huang:
Clustering of SNP Data with Application to Genomics.
ICDM Workshops 2006: 158-162 |
| 42 | EE | Xing-Ming Zhao,
De-Shuang Huang,
Shiwu Zhang,
Yiu-ming Cheung:
Classifying G-Protein Coupled Receptors with Hydropathy Blocks and Support Vector Machines.
ICIC (3) 2006: 593-602 |
| 41 | EE | Kai Wang,
Wenjiang Pei,
Zhenya He,
Yiu-ming Cheung:
A Novel Asymptotic Deterministic Randomness Based Watermarking Scheme.
IIH-MSP 2006: 55-58 |
| 40 | EE | Hao-Tian Wu,
Yiu-ming Cheung:
A High-Capacity Data Hiding Method for Polygonal Meshes.
Information Hiding 2006: 188-200 |
| 39 | EE | Hao-Tian Wu,
Yiu-ming Cheung:
Public Authentication of 3D Mesh Models.
Web Intelligence 2006: 940-948 |
| 38 | EE | Zhan-Li Sun,
Deshuang Huang,
Yiu-ming Cheung:
Erratum to "Extracting nonlinear features for multispectral images by FCMC and KPCA" [Digital Signal Processing 15 (2005) 331-346].
Digital Signal Processing 16(2): 205 (2006) |
| 37 | EE | Zhenyue Zhang,
Yiu-ming Cheung:
On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm.
IEEE Trans. Knowl. Data Eng. 18(10): 1429-1434 (2006) |
| 36 | EE | De-Shuang Huang,
Xing-Ming Zhao,
Guang-Bin Huang,
Yiu-ming Cheung:
Classifying protein sequences using hydropathy blocks.
Pattern Recognition 39(12): 2293-2300 (2006) |
| 35 | EE | Yiu-ming Cheung:
A maximum likelihood approach to temporal factor analysis in state-space model.
Signal Processing 86(10): 2966-2980 (2006) |
| 2005 |
|---|
| 34 | | Yue Hao,
Jiming Liu,
Yuping Wang,
Yiu-ming Cheung,
Hujun Yin,
Licheng Jiao,
Jianfeng Ma,
Yong-Chang Jiao:
Computational Intelligence and Security, International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part I
Springer 2005 |
| 33 | | Yue Hao,
Jiming Liu,
Yuping Wang,
Yiu-ming Cheung,
Hujun Yin,
Licheng Jiao,
Jianfeng Ma,
Yong-Chang Jiao:
Computational Intelligence and Security, International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part II
Springer 2005 |
| 32 | EE | Yuping Wang,
Dalian Liu,
Yiu-ming Cheung:
Preference Bi-objective Evolutionary Algorithm for Constrained Optimization.
CIS (1) 2005: 184-191 |
| 31 | EE | Daqi Zhan,
Suqin Sun,
Yiu-ming Cheung:
Discrimination of Patchoulis of Different Geographical Origins with Two-Dimensional IR Correlation Spectroscopy and Wavelet Transform.
CIS (1) 2005: 965-972 |
| 30 | EE | Fei Han,
Deshuang Huang,
Yiu-ming Cheung,
Guang-Bin Huang:
A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks.
ISNN (1) 2005: 572-577 |
| 29 | EE | Hailin Liu,
Yiu-ming Cheung:
A Learning Framework for Blind Source Separation Using Generalized Eigenvalues.
ISNN (2) 2005: 472-477 |
| 28 | EE | Hao-Tian Wu,
Yiu-ming Cheung:
A fragile watermarking scheme for 3D meshes.
MM&Sec 2005: 117-124 |
| 27 | | Hao-Tian Wu,
Yiu-ming Cheung:
A New Fragile Mesh Watermarking Algorithm for Authentication.
SEC 2005: 509-524 |
| 26 | EE | Hao-Tian Wu,
Yiu-ming Cheung:
A Reversible Data Hiding Approach to Mesh Authentication.
Web Intelligence 2005: 774-777 |
| 25 | EE | Zhan-Li Sun,
De-Shuang Huang,
Yiu-ming Cheung:
Extracting nonlinear features for multispectral images by FCMC and KPCA.
Digital Signal Processing 15(4): 331-346 (2005) |
| 24 | EE | Yiu-ming Cheung:
On Rival Penalization Controlled Competitive Learning for Clustering with Automatic Cluster Number Selection.
IEEE Trans. Knowl. Data Eng. 17(11): 1583-1588 (2005) |
| 23 | EE | Yiu-ming Cheung:
Maximum Weighted Likelihood via Rival Penalized EM for Density Mixture Clustering with Automatic Model Selection.
IEEE Trans. Knowl. Data Eng. 17(6): 750-761 (2005) |
| 22 | EE | Xing-Ming Zhao,
Yiu-ming Cheung,
De-Shuang Huang:
A novel approach to extracting features from motif content and protein composition for protein sequence classification.
Neural Networks 18(8): 1019-1028 (2005) |
| 21 | EE | Yiu-ming Cheung,
Rong-bo Huang:
A Divide-and-Conquer Learning Approach to Radial Basis Function Networks.
Neural Processing Letters 21(3): 189-206 (2005) |
| 2004 |
|---|
| 20 | EE | Yiu-ming Cheung:
A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Selection.
ICPR (4) 2004: 633-636 |
| 19 | EE | Xing-Ming Zhao,
De-Shuang Huang,
Yiu-ming Cheung,
Hong-Qiang Wang,
Xin Huang:
A Novel Hybrid GA/SVM System for Protein Sequences Classification.
IDEAL 2004: 11-16 |
| 18 | | Yiu-ming Cheung:
A competitive and cooperative learning approach to robust data clustering.
Neural Networks and Computational Intelligence 2004: 131-136 |
| 17 | | Yiu-ming Cheung,
Hailin Liu:
A new approach to blind source separation with global optimal property.
Neural Networks and Computational Intelligence 2004: 137-141 |
| 16 | | Lap-Tak Law,
Yiu-ming Cheung:
Rival penalized self-organizing map.
Neural Networks and Computational Intelligence 2004: 142-145 |
| 2003 |
|---|
| 15 | | Jiming Liu,
Yiu-ming Cheung,
Hujun Yin:
Intelligent Data Engineering and Automated Learning, 4th International Conference, IDEAL 2003, Hong Kong, China, March 21-23, 2003, Revised Papers
Springer 2003 |
| 14 | EE | Yiu-ming Cheung:
Expectation-MiniMax Approach to Clustering Analysis.
ICANN 2003: 165-172 |
| 13 | EE | Rong-bo Huang,
Yiu-ming Cheung:
A Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting.
IDEAL 2003: 143-150 |
| 12 | | Yiu-ming Cheung,
Lei Xu:
Dual multivariate auto-regressive modeling in state space for temporal signal separation.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(3): 386-398 (2003) |
| 11 | | Yiu-ming Cheung,
Lei Xu:
Correction to "dual multivariate auto-regressive modeling in state space for temporal signal separation".
IEEE Transactions on Systems, Man, and Cybernetics, Part B 33(5): 835-835 (2003) |
| 10 | EE | Yiu-ming Cheung,
Lei Xu:
Further studies on temporal factor analysis: comparison and Kalman filter-based algorithm.
Neurocomputing 50: 87-103 (2003) |
| 9 | EE | Yiu-ming Cheung:
k*-Means: A new generalized k-means clustering algorithm.
Pattern Recognition Letters 24(15): 2883-2893 (2003) |
| 2002 |
|---|
| 8 | EE | Yiu-ming Cheung:
k-Means - A Generalized k-Means Clustering Algorithm with Unknown Cluster Number.
IDEAL 2002: 307-317 |
| 2001 |
|---|
| 7 | EE | Yiu-ming Cheung:
Dual Auto-Regressive Modelling Approach To Gaussian Process Identification.
ICME 2001 |
| 6 | EE | Yiu-ming Cheung,
Lei Xu:
Independent component ordering in ICA time series analysis.
Neurocomputing 41(1-4): 145-152 (2001) |
| 2000 |
|---|
| 5 | EE | Yiu-ming Cheung,
Lei Xu:
A RPCL-Based Approach for Identification of Markov Model with Unknown Noise and Number of States.
IJCNN (4) 2000: 3-8 |
| 4 | EE | Yiu-ming Cheung,
Lei Xu:
Rival Penalized Competitive Learning Based Approach for Discrete-Valued Source Separation.
Int. J. Neural Syst. 10(6): 483-490 (2000) |
| 1999 |
|---|
| 3 | | Yiu-ming Cheung,
Lei Xu:
The MSE reconstruction criterion for independent component ordering in ICA timeseries analysis.
NSIP 1999: 793-797 |
| 1998 |
|---|
| 2 | | Yiu-ming Cheung,
Lei Xu:
Rival Penalized Competitive Learning Based Separator on Binary Sources Separation.
ICONIP 1998: 903-906 |
| 1997 |
|---|
| 1 | EE | Yiu-ming Cheung,
Wai-Man Leung,
Lei Xu:
Adaptive Rival Penalized Competitive Learning and Combined Linear Predictor Model for Financial Forecast and Investment.
Int. J. Neural Syst. 8(5-6): 517-534 (1997) |
