Professor Lai Wan CHAN - CUHK Research Portal - CONVERIS Research Information System

Professor CHAN Lai Wan

Personal Information

Position and Department

Professor, Department of Computer Science and Engineering

ORCiD0000-0002-9102-4774

CUHK Research Outputs

1 of 2

Domain Generalization via Multidomain Discriminant Analysis (2019)

Model-free inference of diffusion networks using RKHS embeddings (2019)

A kernel embedding-based approach for nonstationary causal model inference (2018)

Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models (2018)

Causal Inference on Multidimensional Data Using Free Probability Theory (2018)

Confounder Detection in High-Dimensional Linear Models Using First Moments of Spectral Measures (2018)

On the Relations of Theoretical Foundations of Different Causal Inference Algorithms (2017)

Causal Discovery on Discrete Data with Extensions to Mixture Model (2016)

Causal Inference on Discrete Data via Estimating Distance Correlations (2016)

Causal Discovery on Discrete Data with Extensions to Mixture Model (2014)

Causal discovery via reproducing Kernel Hilbert space embeddings (2014)

Causality in linear nongaussian acyclic models in the presence of latent gaussian confounders (2013)

Causality in Linear Nongaussian Acyclic Models in the Presence of Latent Gaussian Confounders (2013)

Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method (2013)

Causal discovery for linear non-Gaussian acyclic models in the presence of latent Gaussian confounders (2012)

Causal discovery with scale-mixture model for spatiotemporal variance dependencies (2012)

Learning Bayesian Networks from Markov Random Fields: An Efficient Algorithm for Linear Models (2012)

Learning Causal Relations in Multivariate Time Series Data (2012)

New Approaches for Solving Permutation Indeterminacy and Scaling Ambiguity in Frequency Domain Separation of Convolved Mixtures (2011)

Using Bayesian network learning algorithm to discover causal relations in multivariate time series (2011)

An efficient causal discovery algorithm for linear models (2010)

A Study of the Activity Levels in E-learning Using Data Mining Approach (2010)

Convolutive blind source separation by efficient blind deconvolution and minimal filter distortion (2010)

A Heuristic Partial-Correlation-Based Algorithm for Causal Relationship Discovery on Continuous Data (2009)

Efficient factor GARCH models and factor-DCC models (2009)

ICA with sparse connections: Revisited (2009)

Clustered dynamic conditional correlation multivariate GARCH model (2008)

Discovering distinct patterns in gene expression profiles. (2008)

To apply score function difference based ICA algorithms to high-dimensional data (2007)

Neural Information Processing (2006)

Reward Adjustment Reinforcement Learning for risk-averse asset allocation (2006)

Biased Minimax Probability Machine for Medical Diagnosis (2004)

Financial Time Series Prediction Using Non-fixed and Asymmetrical Margin Setting with Momentum in Support Vector Regression (2004)

Outliers treatment in support vector regression for financial time series prediction (2004)

Practical method for blind inversion of Wiener systems (2004)

The minimum error minimax probability machine (2004)

An Efficient Exact Router for Hyper-Universal Switching Box (2003)

Non-fixed and asymmetrical margin approach to stock market prediction using support vector regression (2002)

Support vector machine regression for volatile stock market prediction (2002)

A comparison of methods for clustering electrophysiological multineuron recordings (1998)

Intelligent Data Engineering and Learning: Perspectives on Financial Engineering and Data Mining (1998)

Intra-block algorithm for digital watermarking (1998)

Intra-block max-min algorithm for embedding robust digital watermark into images (1998)

Isolated word recognition using modular recurrent neural networks (1998)

The prediction of carbon-13 NMR chemical shifts using ensembles of networks (1998)

Using rival penalized competitive clustering for feature indexing in Hong Kong's textile and fashion image database (1998)

Automatic Recognition of Continuous Cantonese Speech with Very Large Vocabulary (1997)

Confluent Preorder Parsing of Deterministic Grammars (1997)

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