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ORCIDLai-Wan Chan
Laiwan Chan
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- affiliation: The Chinese University of Hong Kong
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2010 – 2019
- 2019
[j41]Shoubo Hu, Bogdan Cautis
, Zhitang Chen, Laiwan Chan, Yanhui Geng, Xiuqiang He:
Model-free inference of diffusion networks using RKHS embeddings. Data Min. Knowl. Discov. 33(2): 499-525 (2019)- [c43]Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan:
Domain Generalization via Multidomain Discriminant Analysis. UAI 2019: 292-302 - [i6]Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan:
Domain Generalization via Multidomain Discriminant Analysis. CoRR abs/1907.11216 (2019) - 2018
- [j40]Shoubo Hu, Zhitang Chen, Laiwan Chan:
A Kernel Embedding-Based Approach for Nonstationary Causal Model Inference. Neural Comput. 30(5) (2018) - [j39]Furui Liu, Laiwan Chan:
Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures. Neural Comput. 30(8) (2018) - [j38]Furui Liu, Lai-Wan Chan:
Causal Inference on Multidimensional Data Using Free Probability Theory. IEEE Trans. Neural Networks Learn. Syst. 29(7): 3188-3198 (2018) - [c42]Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Lai-Wan Chan, Yanhui Geng:
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models. NeurIPS 2018: 5212-5222 - [i5]Furui Liu, Laiwan Chan:
Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures. CoRR abs/1803.06852 (2018) - [i4]Furui Liu, Laiwan Chan:
Causal Inference on Discrete Data via Estimating Distance Correlations. CoRR abs/1803.07712 (2018) - [i3]Shoubo Hu, Zhitang Chen, Laiwan Chan:
A Kernel Embedding-based Approach for Nonstationary Causal Model Inference. CoRR abs/1809.08560 (2018) - [i2]Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan Chan, Yanhui Geng:
Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models. CoRR abs/1809.08568 (2018) - 2017
- [c41]Furui Liu, Laiwan Chan:
On the Relations of Theoretical Foundations of Different Causal Inference Algorithms. IDEAL 2017: 112-119 - 2016
- [j37]Furui Liu, Laiwan Chan:
Causal Inference on Discrete Data via Estimating Distance Correlations. Neural Comput. 28(5): 801-814 (2016) - [j36]Furui Liu, Laiwan Chan:
Causal Discovery on Discrete Data with Extensions to Mixture Model. ACM Trans. Intell. Syst. Technol. 7(2): 21:1-21:19 (2016) - 2014
- [j35]Zhitang Chen, Kun Zhang, Laiwan Chan, Bernhard Schölkopf:
Causal Discovery via Reproducing Kernel Hilbert Space Embeddings. Neural Comput. 26(7): 1484-1517 (2014) - 2013
- [j34]Zhitang Chen, Laiwan Chan:
Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders. Neural Comput. 25(6): 1605-1641 (2013) - [c40]Zhitang Chen, Kun Zhang, Laiwan Chan:
Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method. ICDM 2013: 1003-1008 - [i1]Kun Zhang, Heng Peng, Laiwan Chan, Aapo Hyvärinen:
Bridging Information Criteria and Parameter Shrinkage for Model Selection. CoRR abs/1307.2307 (2013) - 2012
- [j33]Zhenxing Wang, Laiwan Chan:
Learning Causal Relations in Multivariate Time Series Data. ACM Trans. Intell. Syst. Technol. 3(4): 76:1-76:28 (2012) - [j32]Zhenxing Wang, Laiwan Chan:
Learning bayesian networks from Markov random fields: An efficient algorithm for linear models. ACM Trans. Knowl. Discov. Data 6(3): 10:1-10:31 (2012) - [c39]Zhitang Chen, Laiwan Chan:
Causal Discovery for Linear Non-Gaussian Acyclic Models in the Presence of Latent Gaussian Confounders. LVA/ICA 2012: 17-24 - [c38]Zhitang Chen, Kun Zhang, Laiwan Chan:
Causal discovery with scale-mixture model for spatiotemporal variance dependencies. NIPS 2012: 1736-1744 - 2011
- [c37]Zhenxing Wang, Laiwan Chan:
Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series. ICDM 2011: 814-823 - [c36]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
- [j31]Kun Zhang, Lai-Wan Chan:
Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion. Neurocomputing 73(13-15): 2580-2588 (2010) - [c35]Zhenxing Wang, Laiwan Chan:
An efficient causal discovery algorithm for linear models. KDD 2010: 1109-1118
2000 – 2009
- 2009
- [c34]Kun Zhang, Heng Peng, Laiwan Chan, Aapo Hyvärinen:
ICA with Sparse Connections: Revisited. ICA 2009: 195-202 - [c33]Zhenxing Wang, Laiwan Chan:
A Heuristic Partial-Correlation-Based Algorithm for Causal Relationship Discovery on Continuous Data. IDEAL 2009: 234-241 - 2008
- [j30]Li Teng, Laiwan Chan:
Discovering Distinct Patterns in Gene Expression Profiles. J. Integr. Bioinform. 5(2) (2008) - [j29]Li Teng, Laiwan Chan:
Discovering Biclusters by Iteratively Sorting with Weighted Correlation Coefficient in Gene Expression Data. J. Signal Process. Syst. 50(3): 267-280 (2008) - [c32]Tu Zhou, Laiwan Chan:
Clustered Dynamic Conditional Correlation Multivariate GARCH Model. DaWaK 2008: 206-216 - 2007
- [j28]Kun Zhang, Laiwan Chan:
Separating Convolutive Mixtures By Pairwise Mutual Information Minimization. IEEE Signal Process. Lett. 14(12): 992-995 (2007) - [c31]Li Teng, Laiwan Chan:
Mining Order Preserving Patterns in Microarray Data by Finding Frequent Orders. BIBE 2007: 1019-1026 - [c30]Kun Zhang, Laiwan Chan:
Kernel-Based Nonlinear Independent Component Analysis. ICA 2007: 301-308 - [c29]Kun Zhang, Laiwan Chan:
Nonlinear independent component analysis with minimal nonlinear distortion. ICML 2007: 1127-1134 - [c28]Jian Li, Kun Zhang, Laiwan Chan:
Independent Factor Reinforcement Learning for Portfolio Management. IDEAL 2007: 1020-1031 - [c27]Li Teng, Laiwan Chan:
Order Preserving Clustering by Finding Frequent Orders in Gene Expression Data. PRIB 2007: 218-229 - 2006
- [j27]Kun Zhang, Lai-Wan Chan:
An Adaptive Method for Subband Decomposition ICA. Neural Comput. 18(1): 191-223 (2006) - [j26]Kun Zhang, Lai-Wan Chan:
Dimension reduction as a deflation method in ICA. IEEE Signal Process. Lett. 13(1): 45-48 (2006) - [c26]Kun Zhang, Lai-Wan Chan:
ICA by PCA Approach: Relating Higher-Order Statistics to Second-Order Moments. ICA 2006: 311-318 - [c25]Kun Zhang, Lai-Wan Chan:
Enhancement of Source Independence for Blind Source Separation. ICA 2006: 731-738 - [c24]Kun Zhang, Lai-Wan Chan:
Extensions of ICA for Causality Discovery in the Hong Kong Stock Market. ICONIP (3) 2006: 400-409 - [c23]Kun Zhang, Lai-Wan Chan:
ICA with Sparse Connections. IDEAL 2006: 530-537 - [c22]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:
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 [contents] - [e3]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. Lecture Notes in Computer Science 4233, Springer 2006, ISBN 3-540-46481-6 [contents] - [e2]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. Lecture Notes in Computer Science 4234, Springer 2006, ISBN 3-540-46484-0 [contents] - 2005
- [j25]Kun Zhang, Lai-Wan Chan:
Extended Gaussianization Method for Blind Separation of Post-Nonlinear Mixtures. Neural Comput. 17(2): 425-452 (2005) - [c21]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. J. Mach. Learn. Res. 5: 1253-1286 (2004) - [c20]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 - [c19]Xiong-Fei Zhuang, Lai-Wan Chan:
Volatility Forecasts in Financial Time Series with HMM-GARCH Models. IDEAL 2004: 807-812 - [c18]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
Biased Minimax Probability Machine for Medical Diagnosis. AI&M 2004 - 2003
- [j23]Chi-Sing Leung, Lai-Wan Chan:
Dual extended Kalman filtering in recurrent neural networks. Neural Networks 16(2): 223-239 (2003) - [c17]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) - [c16]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 Comput. 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 Trans. Neural Networks 12(6): 1314-1332 (2001) - 2000
- [c15]Siu-Ming Cha, Lai-Wan Chan:
Applying Independent Component Analysis to Factor Model in Finance. IDEAL 2000: 538-544 - [c14]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:
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 [contents]
1990 – 1999
- 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 Comput. 11(4): 965-976 (1999) - [j16]Edward Kei Shiu Ho, Lai-Wan Chan:
How to Design a Connectionist Holistic Parser. Neural Comput. 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 Trans. Neural Networks 10(1): 64-71 (1999) - [c13]Lai-Wan Chan:
Weighted least square ensemble networks. IJCNN 1999: 1393-1396 - [c12]Lai-Wan Chan, Chi-Cheong Szeto:
Training recurrent network with block-diagonal approximated Levenberg-Marquardt algorithm. IJCNN 1999: 1521-1526 - 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 Comput. 10(6): 1481-1505 (1998) - [j12]Tan Lee, P. C. Ching, Lai-Wan Chan:
Isolated word recognition using modular recurrent neural networks. Pattern Recognit. 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 Trans. Signal Process. 46(10): 2767-2780 (1998) - [c11]Daqing Chen, Laiwan Chan:
An Adaptive Learning Rate for Training Ring-Structured Recurrent Network. ICONIP 1998: 1224-1227 - [c10]Daqing Chen, Laiwan Chan:
Training Recurrent Neural Networks by Using Parallel Recursive Prediction Error Algorithm. ICONIP 1998: 1393-1396 - [c9]F. Y. Duan, Irwin King, Lai-Wan Chan, Lei Xu:
Intra-block algorithm for digital watermarking. ICPR 1998: 1589-1591 - [c8]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 Comput. 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 Networks 8(2): 267-277 (1997) - [j7]Chi-Sing Leung, Lai-Wan Chan:
Transmission of vector quantized data over a noisy channel. IEEE Trans. Neural Networks 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 Networks 8(5): 1204-1207 (1997) - [c7]Pak-Chung Ching, Ka-Fai Chow, Tan Lee, Alfred Ying Pang Ng, Lai-Wan Chan:
Development of a large vocabulary speech database for Cantonese. ICASSP 1997: 1775-1778 - [c6]Alfred Ying Pang Ng, Lai-Wan Chan, P. C. Ching:
Automatic recognition of continuous Cantonese speech with very large vocabulary. EUROSPEECH 1997: 1551-1554 - 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 Sci. Comput. 4(2): 141-156 (1996) - [c5]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 Trans. Speech Audio Process. 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 Trans. Syst. Man Cybern. 25(10): 1414-1424 (1995) - [c4]Tan Lee, Pak-Chung Ching, Lai-Wan Chan:
Recurrent neural networks for speech modeling and speech recognition. ICASSP 1995: 3319-3322 - [c3]Tan Lee, P. C. Ching, Lai-Wan Chan:
An RNN based speech recognition system with discriminative training. EUROSPEECH 1995: 1667-1670 - [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: 2205-2208 - 1992
- [j1]Lai-Wan Chan:
Neural Networks for Collective Translational Invariant Object Recognition. Int. J. Pattern Recognit. Artif. Intell. 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
Coauthor Index
Andrew Chi-Sing Leung
aka: Chi-Sing Leung
aka: Chi-Sing Leung
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