Lai-Wan Chan

发表

New approaches for solving permutation indeterminacy and scaling ambiguity in frequency domain separation of convolved mixtures

Zhitang Chen, Lai-Wan Chan, 2011, The 2011 International Joint Conference on Neural Networks.

Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion

Lai-Wan Chan, Kun Zhang, L. Chan, 2010, Neurocomputing.

Stability and statistical properties of second-order bidirectional associative memory

Andrew Chi-Sing Leung, Lai-Wan Chan, Edmund Man Kit Lai, 1997, IEEE Trans. Neural Networks.

Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method

Zhitang Chen, Lai-Wan Chan, Kun Zhang, 2013, 2013 IEEE 13th International Conference on Data Mining.

Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II

DeLiang Wang, Lai-Wan Chan, Irwin King, 2006, ICONIP.

Volatility Forecasts in Financial Time Series with HMM-GARCH Models

Lai-Wan Chan, Xiong-Fei Zhuang, 2004, IDEAL.

Weighted least square ensemble networks

Lai-Wan Chan, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Neural Networks for Collective Translational Invariant Object Recognition

Lai-Wan Chan, 1992, Int. J. Pattern Recognit. Artif. Intell..

Weight groupings in the training of recurrent networks

Lai-Wan Chan, Chi-Cheong Szeto, L. Chan, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Guest Editorial: Introduction to the Special Issue on Machine Learning for Microarray Bioinformatics

Lai-Wan Chan, Man-Wai Mak, Ahmed H. Tewfik, 2008, SIPS 2008.

Clustered Dynamic Conditional Correlation Multivariate GARCH Model

Lai-Wan Chan, Tu Zhou, L. Chan, 2008, DaWaK.

Recent Advances In Cantonese Speech Recognition

Lai-Wan Chan, Tan Lee, A. Ng, 1996 .

Domain Generalization via Multidomain Discriminant Analysis

Zhitang Chen, Lai-Wan Chan, Kun Zhang, 2019, UAI.

Automatic recognition of continuous Cantonese speech with very large vocabulary

Lai-Wan Chan, Pak-Chung Ching, Alfred Ying Pang Ng, 1997, EUROSPEECH.

Nonlinear independent component analysis with minimal nonlinear distortion

Lai-Wan Chan, Kun Zhang, L. Chan, 2007, ICML '07.

Confluent Preorder Parser as Finite State Automata

Lai-Wan Chan, Edward Kei Shiu Ho, L. Chan, 1996, ICANN.

Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures

Lai-Wan Chan, Furui Liu, 2018, Neural Computation.

Outliers Treatment in Support Vector Regression for Financial Time Series Prediction

Lai-Wan Chan, Michael R. Lyu, Kaizhu Huang, 2004, ICONIP.

Training recurrent network with block-diagonal approximated Levenberg-Marquardt algorithm

Lai-Wan Chan, Chi-Cheong Szeto, L. Chan, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Transformation of back-propagation networks in multiresolution learning

Lai-Wan Chan, Wing-Chung Chan, L. Chan, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Confluent Preorder Parsing of Deterministic Grammars

Lai-Wan Chan, Edward Kei Shiu Ho, L. Chan, 1997, Connect. Sci..

Model-free inference of diffusion networks using RKHS embeddings

Zhitang Chen, Lai-Wan Chan, Yanhui Geng, 2018, Data Mining and Knowledge Discovery.

Attraction Basin of Bidirectional Associative Memories

Andrew Chi-Sing Leung, John Sum, Lai-Wan Chan, 1996, Int. J. Neural Syst..

ICA with Sparse Connections

Lai-Wan Chan, Kun Zhang, 2006, IDEAL.

Development of a large vocabulary speech database for Cantonese

Lai-Wan Chan, Tan Lee, Pak-Chung Ching, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

The prediction performance of independent factor models

Lai-Wan Chan, L. Chan, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Bridging Information Criteria and Parameter Shrinkage for Model Selection pdf

Lai-Wan Chan, Aapo Hyvärinen, Kun Zhang, 2013, ArXiv.

On the Relations of Theoretical Foundations of Different Causal Inference Algorithms

Lai-Wan Chan, Furui Liu, 2017, IDEAL.

Causal Inference on Multidimensional Data Using Free Probability Theory

Lai-Wan Chan, Furui Liu, L. Chan, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Yet another algorithm which can generate topography map

Andrew Chi-Sing Leung, John Sum, Lai-Wan Chan, 1997, IEEE Trans. Neural Networks.

Causal Inference and Mechanism Clustering of a Mixture of Additive Noise Models

Zhitang Chen, Lai-Wan Chan, Yanhui Geng, 2018, NeurIPS.

Non-fixed and asymmetrical margin approach to stock market prediction using Support Vector Regression

Lai-Wan Chan, Irwin King, Haiqin Yang, 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

How to Design a Connectionist Holistic Parser

Lai-Wan Chan, Edward Kei Shiu Ho, L. Chan, 1999, Neural Computation.

The Behavior of Forgetting Learning in Bidirectional Associative Memory

Andrew Chi-Sing Leung, Lai-Wan Chan, 1997, Neural Computation.

Extracting error productions from a neural network-based LR parser

Lai-Wan Chan, Edward Kei Shiu Ho, L. Chan, 2002, Neurocomputing.

Biased Minimax Probability Machine for Medical Diagnosis

Lai-Wan Chan, Michael R. Lyu, Kaizhu Huang, 2004, ISAIM.

Dimension reduction as a deflation method in ICA

Lai-Wan Chan, Kun Zhang, L. Chan, 2006, IEEE Signal Process. Lett..

Storage behavior and error correction capability of bidirectional associative memory under forgetting learning

Andrew Chi-Sing Leung, John Sum, Lai-Wan Chan, 1996, Neural Parallel Sci. Comput..

An error control scheme for transmission of vector quantization data over noisy channels

Andrew Chi-Sing Leung, Lai-Wan Chan, 1998, IEEE Trans. Signal Process..

An RNN based speech recognition system with discriminative training

Lai-Wan Chan, Tan Lee, Pak-Chung Ching, 1995, EUROSPEECH.

Analyzing Holistic Parsers: Implications for Robust Parsing and Systematicity

Lai-Wan Chan, Edward Kei Shiu Ho, L. Chan, 2001, Neural Computation.

Automatic recognition of Cantonese lexical tones in connected speech by multi-layer perceptron

Lai-Wan Chan, Pak-Chung Ching, Alfred Ying Pang Ng, 1995, EUROSPEECH.

An Adaptive Method for Subband Decomposition ICA

Lai-Wan Chan, Kun Zhang, L. Chan, 2006, Neural Computation.

Feature deactivation using partial inhibitory networks during multiple object recognition

Lai-Wan Chan, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Fuzzy self-organizing map: mechanism and convergence

John Sum, Lai-Wan Chan, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

To apply score function difference based ICA algorithms to high-dimensional data

Lai-Wan Chan, Kun Zhang, L. Chan, 2005, ESANN.

Recurrent neural networks for speech modeling and speech recognition

Lai-Wan Chan, Tan Lee, Pak-Chung Ching, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Isolated word recognition using modular recurrent neural networks

Lai-Wan Chan, Tan Lee, Pak-Chung Ching, 1998, Pattern Recognit..

Transmission of vector quantized data over a noisy channel

Andrew Chi-Sing Leung, Lai-Wan Chan, L. Chan, 1997, IEEE Trans. Neural Networks.

A Kernel Embedding–Based Approach for Nonstationary Causal Model Inference

Zhitang Chen, Lai-Wan Chan, Shoubo Hu, 2018, Neural Computation.

Learning Causal Relations in Multivariate Time Series Data

Lai-Wan Chan, Zhenxing Wang, L. Chan, 2012, TIST.

An error correcting algorithm for Hopfield network

Lai-Wan Chan, Chi-Chung Hui, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Intelligent data engineering and learning : perspectives on financial engineering and data mining : 1st International Symposium IDEAL '98, Hong Kong, October 14-16, 1998

Lai-Wan Chan, Lei Xu, Irwin King, 1999 .

Training Recurrent Neural Networks by Using Parallel Recursive Prediction Error Algorithm

Lai-Wan Chan, Daqing Chen, 1998, ICONIP.

Independent Factor Reinforcement Learning for Portfolio Management

Lai-Wan Chan, Jian Li, Kun Zhang, 2007, IDEAL.

The Minimum Error Minimax Probability Machine

Lai-Wan Chan, Michael R. Lyu, Kaizhu Huang, 2004, J. Mach. Learn. Res..

An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment

Andrew Chi-Sing Leung, John Sum, Lai-Wan Chan, 1999, Neural Computation.

Analysis of the Internal Representations in Neural Networks for Machine Intelligence

Lai-Wan Chan, 1991, AAAI.

Applying Independent Component Analysis to Factor Model in Finance

Lai-Wan Chan, Siu-Ming Cha, L. Chan, 2000, IDEAL.

Using rival penalized competitive clustering for feature indexing in Hong Kong's textile and fashion image database

Lai-Wan Chan, Lei Xu, Irwin King, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Levenberg-Marquardt Learning and Regularization

Lai-Wan Chan, 1996 .

Causal Inference on Discrete Data via Estimating Distance Correlations

Lai-Wan Chan, Furui Liu, L. Chan, 2016, Neural Computation.

Learning bayesian networks from Markov random fields: An efficient algorithm for linear models

Lai-Wan Chan, Zhenxing Wang, L. Chan, 2012, TKDD.

A Heuristic Partial-Correlation-Based Algorithm for Causal Relationship Discovery on Continuous Data

Lai-Wan Chan, Zhenxing Wang, L. Chan, 2009, IDEAL.

Reward Adjustment Reinforcement Learning for Risk-averse Asset Allocation

Lai-Wan Chan, Jian Li, L. Chan, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Parallel implementation of partially connected recurrent networks

Lai-Wan Chan, Fung-Yu Young, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Efficacy of different learning algorithms of the back-propagation network

Lai-Wan Chan, 1990, IEEE TENCON'90: 1990 IEEE Region 10 Conference on Computer and Communication Systems. Conference Proceedings.

ICA with Sparse Connections: Revisited

Lai-Wan Chan, Aapo Hyvärinen, Kun Zhang, 2009, ICA.

Separating Convolutive Mixtures By Pairwise Mutual Information Minimization

Lai-Wan Chan, Kun Zhang, L. Chan, 2007, IEEE Signal Processing Letters.

An efficient causal discovery algorithm for linear models

Lai-Wan Chan, Zhenxing Wang, L. Chan, 2010, KDD.

Kernel-Based Nonlinear Independent Component Analysis

Lai-Wan Chan, Kun Zhang, L. Chan, 2007, ICA.

Weight Groupings in Second Order Training Methods for Recurrent Networks

Lai-Wan Chan, Chi-Cheong Szeto, 2001, Int. J. Neural Syst..

A pruning method for the recursive least squared algorithm

Kwok-Wo Wong, Andrew Chi-Sing Leung, John Sum, 2001, Neural Networks.

Enhancement of Source Independence for Blind Source Separation

Lai-Wan Chan, Kun Zhang, 2006, ICA.

An Algorithm for Trading and Portfolio Management Using Q-learning and Sharpe Ratio Maximization

Lai-Wan Chan, Xiu Xiao Gao, L. Chan, 2000 .

Intra-block algorithm for digital watermarking

Lai-Wan Chan, Lei Xu, Irwin King, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Causal Discovery on Discrete Data with Extensions to Mixture Model

Lai-Wan Chan, Furui Liu, L. Chan, 2015, ACM Trans. Intell. Syst. Technol..

Extended Kalman filter in recurrent neural network training and pruning

John Sum, Lai-Wan Chan, Cyril S. K. Leung, 1996 .

ICA by PCA Approach: Relating Higher-Order Statistics to Second-Order Moments

Lai-Wan Chan, Kun Zhang, 2006, ICA.

Translational invariant object recognition using back propagation network

Lai-Wan Chan, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Intra-Block Max-Min Algorithm for Embedding Robust Digital Watermark into Images

Lai-Wan Chan, Lei Xu, Irwin King, 1998, Multimedia Information Analysis and Retrieval.

Causal Discovery for Linear Non-Gaussian Acyclic Models in the Presence of Latent Gaussian Confounders

Zhitang Chen, Lai-Wan Chan, L. Chan, 2012, LVA/ICA.

Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents

Kwong-Sak Leung, Lai-Wan Chan, Helen Meng, 2002, Lecture Notes in Computer Science.

Dual extended Kalman filtering in recurrent neural networks

Andrew Chi-Sing Leung, Lai-Wan Chan, L. Chan, 2003, Neural Networks.

Stability, capacity, and statistical dynamics of second-order bidirectional associative memory

Andrew Chi-Sing Leung, Lai-Wan Chan, Edmund Man Kit Lai, 1995, IEEE Trans. Syst. Man Cybern..

Extended Gaussianization Method for Blind Separation of Post-Nonlinear Mixtures

Lai-Wan Chan, Kun Zhang, L. Chan, 2005, Neural Computation.

Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I

DeLiang Wang, Lai-Wan Chan, Irwin King, 2006, ICONIP.

Two regularizers for recursive least squared algorithms in feedforward multilayered neural networks

Andrew Chi-Sing Leung, Ah Chung Tsoi, Lai-Wan Chan, 2001, IEEE Trans. Neural Networks.

Analysis for a class of winner-take-all model

Andrew Chi-Sing Leung, John Sum, Lai-Wan Chan, 1999, IEEE Trans. Neural Networks.

Network response time for a general class of WTA

John Sum, Lai-Wan Chan, Peter Kwong-Shun Tam, 1996 .

Using Bayesian Network Learning Algorithm to Discover Causal Relations in Multivariate Time Series

Lai-Wan Chan, Zhenxing Wang, L. Chan, 2011, 2011 IEEE 11th International Conference on Data Mining.

Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents

Kwong-Sak Leung, Lai-Wan Chan, Helen Meng, 2000 .

ForeNet : fourier recurrent networks for time series prediction

Yingqian Zhang, Lai-Wan Chan, L. Chan, 2000 .

Causal Discovery via Reproducing Kernel Hilbert Space Embeddings

Bernhard Schölkopf, Zhitang Chen, Lai-Wan Chan, 2014, Neural Computation.

The backpropagation unfold recurrent rule

Lai-Wan Chan, P.T.T. Chiu, J.Y.W. Chow, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

On-line training and pruning for recursive least square algorithms

Lai-Wan Chan, Chi-Sing Leung, Kwok Wo Wong, 1996 .

Extensions of ICA for Causality Discovery in the Hong Kong Stock Market

Lai-Wan Chan, Kun Zhang, L. Chan, 2006, ICONIP.

Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA

Lai-Wan Chan, Kun Zhang, L. Chan, 2003, ICANN.

A comparison of methods for clustering electrophysiological multineuron recordings

Lai-Wan Chan, P.H.W. Leong, A.W.K. Sim, 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

Support Vector Machine Regression for Volatile Stock Market Prediction

Lai-Wan Chan, Irwin King, Haiqin Yang, 2002, IDEAL.

An Adaptive Learning Rate for Training Ring-Structured Recurrent Network

Lai-Wan Chan, Daqing Chen, 1998, ICONIP.

Causal discovery with scale-mixture model for spatiotemporal variance dependencies

Zhitang Chen, Lai-Wan Chan, Kun Zhang, 2012, NIPS.

Proceedings of the 13th international conference on Neural information processing - Volume Part III

DeLiang Wang, Lai-Wan Chan, Irwin King, 2006 .

Convergence of one-dimensional self-organizing map

John Sum, Lai-Wan Chan, 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

Practical method for blind inversion of Wiener systems

Lai-Wan Chan, L. Chan, Kull Zhang, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Chaos in recurrent networks

Lai-Wan Chan, E. Fung-Yu Young, 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

Minimal Nonlinear Distortion Principle for Nonlinear Independent Component Analysis

Lai-Wan Chan, Kun Zhang, L. Chan, 2008 .

SELECTION OF INDEPENDENT FACTOR MODEL IN FINANCE

Lai-Wan Chan, L. Chan, S. Cha, 2001 .

Biclustering Gene Expression Profiles by Alternately Sorting with Weighted Correlated Coefficient

Lai-Wan Chan, Li Teng, L. Chan, 2006, 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.