Laiwan Chan
The Chinese University of Hong Kong
List of publications from the DBLP Bibliography Server - FAQ
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 | 2012 | |
|---|---|---|
| j31 |      | Zhenxing Wang, Laiwan Chan: Learning Causal Relations in Multivariate Time Series Data. ACM TIST 3(4): 76 (2012) |
| j30 | | Zhenxing Wang, Laiwan Chan: Learning bayesian networks from Markov random fields: An efficient algorithm for linear models. TKDD 6(3): 10 (2012) |
| c35 | | Zhitang Chen, Laiwan Chan: Causal Discovery for Linear Non-Gaussian Acyclic Models in the Presence of Latent Gaussian Confounders. LVA/ICA 2012: 17-24 |
| c34 | | Zhitang Chen, Kun Zhang, Laiwan Chan: Causal discovery with scale-mixture model for spatiotemporal variance dependencies. NIPS 2012: 1736-1744 |
| 2011 | ||
| c33 | | Zhenxing Wang, Laiwan Chan: Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series. ICDM 2011: 814-823 |
| c32 | | Zhitang Chen, Laiwan Chan: New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures. IJCNN 2011: 911-918 |
| 2010 | ||
| j29 | | Kun Zhang, Lai-Wan Chan: Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion. Neurocomputing 73(13-15): 2580-2588 (2010) |
| c31 | | Zhenxing Wang, Laiwan Chan: An efficient causal discovery algorithm for linear models. KDD 2010: 1109-1118 |
| 2009 | ||
| c30 | | Kun Zhang, Heng Peng, Laiwan Chan, Aapo Hyvärinen: ICA with Sparse Connections: Revisited. ICA 2009: 195-202 |
| c29 | | Zhenxing Wang, Laiwan Chan: A Heuristic Partial-Correlation-Based Algorithm for Causal Relationship Discovery on Continuous Data. IDEAL 2009: 234-241 |
| 2008 | ||
| j28 | | Li Teng, Laiwan Chan: Discovering Distinct Patterns in Gene Expression Profiles. J. Integrative Bioinformatics 5(2) (2008) |
| j27 | | 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) |
| c28 | | Tu Zhou, Laiwan Chan: Clustered Dynamic Conditional Correlation Multivariate GARCH Model. DaWaK 2008: 206-216 |
| 2007 | ||
| c27 | | |
| c26 | | |
| c25 | | |
| c24 | | Jian Li, Kun Zhang, Laiwan Chan: Independent Factor Reinforcement Learning for Portfolio Management. IDEAL 2007: 1020-1031 |
| c23 | | |
| 2006 | ||
| j26 | | Kun Zhang, Lai-Wan Chan: An Adaptive Method for Subband Decomposition ICA. Neural Computation 18(1): 191-223 (2006) |
| c22 | | |
| c21 | | |
| c20 | | Kun Zhang, Lai-Wan Chan: Extensions of ICA for Causality Discovery in the Hong Kong Stock Market. ICONIP (3) 2006: 400-409 |
| c19 | | |
| c18 | | Jian Li, Laiwan Chan: Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation. IJCNN 2006: 534-541 |
| e4 |  | Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang (Eds.): Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I. Lecture Notes in Computer Science 4232, Springer 2006, isbn 3-540-46479-4 |
| e3 | | Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang (Eds.): Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II. Lecture Notes in Computer Science 4233, Springer 2006, isbn 3-540-46481-6 |
| e2 | | Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang (Eds.): Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III. Lecture Notes in Computer Science 4234, Springer 2006, isbn 3-540-46484-0 |
| 2005 | ||
| j25 | | Kun Zhang, Lai-Wan Chan: Extended Gaussianization Method for Blind Separation of Post-Nonlinear Mixtures. Neural Computation 17(2): 425-452 (2005) |
| c17 | | Kun Zhang, Lai-Wan Chan: To apply score function difference based ICA algorithms to high-dimensional data. ESANN 2005: 291-296 |
| 2004 | ||
| j24 | | 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) |
| c16 | | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: Biased Minimax Probability Machine for Medical Diagnosis. AMAI 2004 |
| c15 | | 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 |
| c14 | | Xiong-Fei Zhuang, Lai-Wan Chan: Volatility Forecasts in Financial Time Series with HMM-GARCH Models. IDEAL 2004: 807-812 |
| c13 | | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: Biased Minimax Probability Machine for Medical Diagnosis. ISAIM 2004 |
| 2003 | ||
| j23 | | Chi-Sing Leung, Lai-Wan Chan: Dual extended Kalman filtering in recurrent neural networks. Neural Networks 16(2): 223-239 (2003) |
| c12 | | Kun Zhang, Lai-Wan Chan: Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA. ICANN 2003: 132-139 |
| 2002 | ||
| j22 | | Edward Kei Shiu Ho, Lai-Wan Chan: Extracting error productions from a neural network-based LR parser. Neurocomputing 47(1-4): 189-206 (2002) |
| c11 | | Haiqin Yang, Laiwan Chan, Irwin King: Support Vector Machine Regression for Volatile Stock Market Prediction. IDEAL 2002: 391-396 |
| 2001 | ||
| j21 | | 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) |
| j20 | | Edward Kei Shiu Ho, Lai-Wan Chan: Analyzing Holistic Parsers: Implications for Robust Parsing and Systematicity. Neural Computation 13(5): 1137-1170 (2001) |
| j19 | | 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) |
| j18 | | Chi-Sing Leung, Ah Chung Tsoi, Lai-Wan Chan: Two regularizers for recursive least squared algorithms in feedforward multilayered neural networks. IEEE Transactions on Neural Networks 12(6): 1314-1332 (2001) |
| 2000 | ||
| c10 | | Siu-Ming Cha, Lai-Wan Chan: Applying Independent Component Analysis to Factor Model in Finance. IDEAL 2000: 538-544 |
| c9 | | Lai-Wan Chan, Chi-Cheong Szeto: Weight Groupings in the Training of Recurrent Networks. IJCNN (3) 2000: 21-26 |
| e1 | | Kwong-Sak Leung, Lai-Wan Chan, Helen Meng (Eds.): 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. Lecture Notes in Computer Science 1983, Springer 2000, isbn 3-540-41450-9 |
| 1999 | ||
| j17 | | 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) |
| j16 | | Edward Kei Shiu Ho, Lai-Wan Chan: How to Design a Connectionist Holistic Parser. Neural Computation 11(8): 1995-2016 (1999) |
| j15 | | Andrew Chi-Sing Leung, Lai-Wan Chan: Design of trellis coded vector quantizers using Kohonen maps. Neural Networks 12(6): 907-914 (1999) |
| j14 | | 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) |
| 1998 | ||
| j13 | | 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) |
| j12 | | Tan Lee, P. C. Ching, Lai-Wan Chan: Isolated word recognition using modular recurrent neural networks. Pattern Recognition 31(6): 751-760 (1998) |
| j11 | | Chi-Sing Leung, Lai-Wan Chan: An error control scheme for transmission of vector quantization data over noisy channels. IEEE Transactions on Signal Processing 46(10): 2767-2780 (1998) |
| c8 | | Daqing Chen, Laiwan Chan: An Adaptive Learning Rate for Training Ring-Structured Recurrent Network. ICONIP 1998: 1224-1227 |
| c7 | | Daqing Chen, Laiwan Chan: Training Recurrent Neural Networks by Using Parallel Recursive Prediction Error Algorithm. ICONIP 1998: 1393-1396 |
| c6 | | 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 |
| 1997 | ||
| j10 | | Edward Kei Shiu Ho, Lai-Wan Chan: Confluent Preorder Parsing of Deterministic Grammars. Connect. Sci. 9(3): 269-294 (1997) |
| j9 | | Andrew Chi-Sing Leung, Lai-Wan Chan: The Behavior of Forgetting Learning in Bidrectional Associative Memory. Neural Computation 9(2): 385-401 (1997) |
| j8 | | Chi-Sing Leung, Lai-Wan Chan, Edmund Man Kit Lai: Stability and statistical properties of second-order bidirectional associative memory. IEEE Trans. Neural Netw. Learning Syst. 8(2): 267-277 (1997) |
| j7 | | Chi-Sing Leung, Lai-Wan Chan: Transmission of vector quantized data over a noisy channel. IEEE Trans. Neural Netw. Learning Syst. 8(3): 582-589 (1997) |
| j6 | | John Sum, Chi-Sing Leung, Lai-Wan Chan, Lei Xu: Yet another algorithm which can generate topography map. IEEE Trans. Neural Netw. Learning Syst. 8(5): 1204-1207 (1997) |
| c5 | | Alfred Ying Pang Ng, Lai-Wan Chan, P. C. Ching: Automatic recognition of continuous Cantonese speech with very large vocabulary. EUROSPEECH 1997 |
| 1996 | ||
| j5 | | Chi-Sing Leung, Lai-Wan Chan, John Sum: Attraction Basin of Bidirectional Associative Memories. Int. J. Neural Syst. 7(6): 715-726 (1996) |
| j4 | | Andrew Chi-Sing Leung, Lai-Wan Chan, John Sum: Storage behavior and error correction capability of bidirectional associative memory under forgetting learning. Neural Parallel & Scientific Comp. 4(2): 141-156 (1996) |
| c4 | | Edward Kei Shiu Ho, Lai-Wan Chan: Confluent Preorder Parser as Finite State Automata. ICANN 1996: 899-904 |
| 1995 | ||
| j3 | | Tan Lee, P. C. Ching, Lai-Wan Chan, Y. H. Cheng, Brian Mak: Tone recognition of isolated Cantonese syllables. IEEE Transactions on Speech and Audio Processing 3(3): 204-209 (1995) |
| j2 | | Chi-Sing Leung, Lai-Wan Chan, Edmund Man Kit Lai: Stability, capacity, and statistical dynamics of second-order bidirectional associative memory. IEEE Transactions on Systems, Man, and Cybernetics 25(10): 1414-1424 (1995) |
| c3 | | Tan Lee, P. C. Ching, Lai-Wan Chan: An RNN based speech recognition system with discriminative training. EUROSPEECH 1995 |
| c2 | | Alfred Ying Pang Ng, P. C. Ching, Lai-Wan Chan: Automatic recognition of Cantonese lexical tones in connected speech by multi-layer perceptron. EUROSPEECH 1995 |
| 1992 | ||
| j1 | | Lai-Wan Chan: Neural Networks for Collective Translational Invariant Object Recognition. IJPRAI 6(1): 143-156 (1992) |
| 1991 | ||
| c1 | | Lai-Wan Chan: Analysis of the Internal Representations in Neural Networks for Machine Intelligence. AAAI 1991: 578-583 |
Colors in the list of coauthors
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