Laiwan Chan
The Chinese University of Hong Kong
List of publications from the DBLP Bibliography Server - FAQ
2009 | ||
---|---|---|
49 | EE | Kun Zhang, Heng Peng, Laiwan Chan, Aapo Hyvärinen: ICA with Sparse Connections: Revisited. ICA 2009: 195-202 |
2008 | ||
48 | EE | Tu Zhou, Laiwan Chan: Clustered Dynamic Conditional Correlation Multivariate GARCH Model. DaWaK 2008: 206-216 |
47 | EE | Li Teng, Laiwan Chan: Discovering Distinct Patterns in Gene Expression Profiles. J. Integrative Bioinformatics 5(2): (2008) |
46 | EE | Li Teng, Laiwan Chan: Discovering Biclusters by Iteratively Sorting with Weighted Correlation Coefficient in Gene Expression Data. Signal Processing Systems 50(3): 267-280 (2008) |
2007 | ||
45 | EE | Li Teng, Laiwan Chan: Mining Order Preserving Patterns in Microarray Data by Finding Frequent Orders. BIBE 2007: 1019-1026 |
44 | EE | Kun Zhang, Laiwan Chan: Kernel-Based Nonlinear Independent Component Analysis. ICA 2007: 301-308 |
43 | EE | Kun Zhang, Laiwan Chan: Nonlinear independent component analysis with minimal nonlinear distortion. ICML 2007: 1127-1134 |
42 | EE | Jian Li, Kun Zhang, Laiwan Chan: Independent Factor Reinforcement Learning for Portfolio Management. IDEAL 2007: 1020-1031 |
41 | EE | Li Teng, Laiwan Chan: Order Preserving Clustering by Finding Frequent Orders in Gene Expression Data. PRIB 2007: 218-229 |
2006 | ||
40 | Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang: Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I Springer 2006 | |
39 | Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang: Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II Springer 2006 | |
38 | Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang: Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III Springer 2006 | |
37 | EE | Kun Zhang, Lai-Wan Chan: ICA by PCA Approach: Relating Higher-Order Statistics to Second-Order Moments. ICA 2006: 311-318 |
36 | EE | Kun Zhang, Lai-Wan Chan: Enhancement of Source Independence for Blind Source Separation. ICA 2006: 731-738 |
35 | EE | Kun Zhang, Lai-Wan Chan: Extensions of ICA for Causality Discovery in the Hong Kong Stock Market. ICONIP (3) 2006: 400-409 |
34 | EE | Kun Zhang, Lai-Wan Chan: ICA with Sparse Connections. IDEAL 2006: 530-537 |
33 | EE | Jian Li, Laiwan Chan: Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation. IJCNN 2006: 534-541 |
32 | EE | Kun Zhang, Lai-Wan Chan: An Adaptive Method for Subband Decomposition ICA. Neural Computation 18(1): 191-223 (2006) |
2005 | ||
31 | EE | Kun Zhang, Lai-Wan Chan: To apply score function difference based ICA algorithms to high-dimensional data. ESANN 2005: 291-296 |
30 | EE | Kun Zhang, Lai-Wan Chan: Extended Gaussianization Method for Blind Separation of Post-Nonlinear Mixtures. Neural Computation 17(2): 425-452 (2005) |
2004 | ||
29 | EE | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: Biased Minimax Probability Machine for Medical Diagnosis. AMAI 2004 |
28 | EE | Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu: Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP 2004: 1260-1265 |
27 | EE | Xiong-Fei Zhuang, Lai-Wan Chan: Volatility Forecasts in Financial Time Series with HMM-GARCH Models. IDEAL 2004: 807-812 |
26 | EE | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: The Minimum Error Minimax Probability Machine. Journal of Machine Learning Research 5: 1253-1286 (2004) |
2003 | ||
25 | EE | Kun Zhang, Lai-Wan Chan: Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA. ICANN 2003: 132-139 |
24 | EE | Chi-Sing Leung, Lai-Wan Chan: Dual extended Kalman filtering in recurrent neural networks. Neural Networks 16(2): 223-239 (2003) |
2002 | ||
23 | EE | Haiqin Yang, Laiwan Chan, Irwin King: Support Vector Machine Regression for Volatile Stock Market Prediction. IDEAL 2002: 391-396 |
22 | EE | Edward Kei Shiu Ho, Lai-Wan Chan: Extracting error productions from a neural network-based LR parser. Neurocomputing 47(1-4): 189-206 (2002) |
2001 | ||
21 | EE | Lai-Wan Chan, Chi-Cheong Szeto: Weight Groupings in Second Order Training Methods for Recurrent Networks. Int. J. Neural Syst. 11(4): 379-387 (2001) |
20 | Edward Kei Shiu Ho, Lai-Wan Chan: Analyzing Holistic Parsers: Implications for Robust Parsing and Systematicity. Neural Computation 13(5): 1137-1170 (2001) | |
19 | EE | Chi-Sing Leung, Kwok-Wo Wong, Pui-Fai Sum, Lai-Wan Chan: A pruning method for the recursive least squared algorithm. Neural Networks 14(2): 147-174 (2001) |
2000 | ||
18 | Kwong-Sak Leung, Lai-Wan Chan, Helen Meng: Intelligent Data Engineering and Automated Learning - IDEAL 2000, Data Mining, Financial Engineering, and Intelligent Agents, Second International Conference, Shatin, N.T. Hong Kong, China, December 13-15, 2000, Proceedings Springer 2000 | |
17 | EE | Siu-Ming Cha, Lai-Wan Chan: Applying Independent Component Analysis to Factor Model in Finance. IDEAL 2000: 538-544 |
16 | EE | Lai-Wan Chan, Chi-Cheong Szeto: Weight Groupings in the Training of Recurrent Networks. IJCNN (3) 2000: 21-26 |
1999 | ||
15 | EE | J. P. F. Sum, Chi-Sing Leung, Peter Kwong-Shun Tam, Gilbert H. Young, Wing-Kay Kan, Lai-Wan Chan: Analysis for a class of winner-take-all model. IEEE Transactions on Neural Networks 10(1): 64-71 (1999) |
14 | John Sum, Andrew Chi-Sing Leung, Gilbert H. Young, Lai-Wan Chan, Wing-Kay Kan: An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment. Neural Computation 11(4): 965-976 (1999) | |
13 | Edward Kei Shiu Ho, Lai-Wan Chan: How to Design a Connectionist Holistic Parser. Neural Computation 11(8): 1995-2016 (1999) | |
12 | EE | Andrew Chi-Sing Leung, Lai-Wan Chan: Design of trellis coded vector quantizers using Kohonen maps. Neural Networks 12(6): 907-914 (1999) |
1998 | ||
11 | Daqing Chen, Laiwan Chan: An Adaptive Learning Rate for Training Ring-Structured Recurrent Network. ICONIP 1998: 1224-1227 | |
10 | Daqing Chen, Laiwan Chan: Training Recurrent Neural Networks by Using Parallel Recursive Prediction Error Algorithm. ICONIP 1998: 1393-1396 | |
9 | F. Y. Duan, Irwin King, Lai-Wan Chan, Lei Xu: Intra-Block Max-Min Algorithm for Embedding Robust Digital Watermark into Images. Multimedia Information Analysis and Retrieval 1998: 255-264 | |
8 | John Sum, Lai-Wan Chan, Andrew Chi-Sing Leung, Gilbert H. Young: Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks. Neural Computation 10(6): 1481-1505 (1998) | |
7 | EE | Tan Lee, P. C. Ching, Lai-Wan Chan: Isolated word recognition using modular recurrent neural networks. Pattern Recognition 31(6): 751-760 (1998) |
1997 | ||
6 | EE | Edward Kei Shiu Ho, Lai-Wan Chan: Confluent Preorder Parsing of Deterministic Grammars. Connect. Sci. 9(3): 269-294 (1997) |
5 | EE | Andrew Chi-Sing Leung, Lai-Wan Chan: The Behavior of Forgetting Learning in Bidrectional Associative Memory. Neural Computation 9(2): 385-401 (1997) |
1996 | ||
4 | Edward Kei Shiu Ho, Lai-Wan Chan: Confluent Preorder Parser as Finite State Automata. ICANN 1996: 899-904 | |
3 | EE | Chi-Sing Leung, Lai-Wan Chan, John Sum: Attraction Basin of Bidirectional Associative Memories. Int. J. Neural Syst. 7(6): 715-726 (1996) |
1992 | ||
2 | Lai-Wan Chan: Neural Networks for Collective Translational Invariant Object Recognition. IJPRAI 6(1): 143-156 (1992) | |
1991 | ||
1 | Lai-Wan Chan: Analysis of the Internal Representations in Neural Networks for Machine Intelligence. AAAI 1991: 578-583 |
1 | Siu-Ming Cha | [17] |
2 | Daqing Chen | [10] [11] |
3 | P. C. Ching | [7] |
4 | F. Y. Duan | [9] |
5 | Edward Kei Shiu Ho (Kei Shiu Ho) | [4] [6] [13] [20] [22] |
6 | Kaizhu Huang | [26] [28] [29] |
7 | Aapo Hyvärinen | [49] |
8 | Wing-Kay Kan | [14] [15] |
9 | Irwin King | [9] [23] [26] [28] [29] [38] [39] [40] |
10 | Tan Lee | [7] |
11 | Andrew Chi-Sing Leung (Chi-Sing Leung) | [3] [5] [8] [12] [14] [15] [19] [24] |
12 | Kwong-Sak Leung | [18] |
13 | Jian Li | [33] [42] |
14 | Michael R. Lyu | [26] [28] [29] |
15 | Helen Meng | [18] |
16 | Heng Peng | [49] |
17 | John Sum (Pui-Fai Sum, J. P. F. Sum) | [3] [8] [14] [15] [19] |
18 | Chi-Cheong Szeto | [16] [21] |
19 | Peter Kwong-Shun Tam | [15] |
20 | Li Teng | [41] [45] [46] [47] |
21 | DeLiang L. Wang | [38] [39] [40] |
22 | Jun Wang | [38] [39] [40] |
23 | Kwok-Wo Wong | [19] |
24 | Lei Xu | [9] |
25 | Haiqin Yang | [23] [26] [28] [29] |
26 | Gilbert H. Young | [8] [14] [15] |
27 | Kun Zhang | [25] [30] [31] [32] [34] [35] [36] [37] [42] [43] [44] [49] |
28 | Tu Zhou | [48] |
29 | Xiong-Fei Zhuang | [27] |