Chan Lai Wan
Professor
Computer Science
Chinese University of Hong Kong
Hong Kong
Biography
Dr. CHAN Lai Wan is affiliated to Computer Science, Chinese University of Hong Kong. Dr. CHAN Lai Wan is currently providing services as Professor. Dr. CHAN Lai Wan has authored and co-authored multiple peer-reviewed scientific papers and presented works at many national and International conferences. Dr. CHAN Lai Wan contributions have acclaimed recognition from honourable subject experts around the world. Dr. CHAN Lai Wan is actively associated with different societies and academies. Dr. CHAN Lai Wan academic career is decorated with several reputed awards and funding. Dr. CHAN Lai Wan research interests include Data mining, financial engineering, causal analysis, machine learning, big data analysis, bioinformatics, the modelling of artificial neural networks. The applications of neural networks and ICA in time series prediction, portfolio management, risk analysis, gene expression data analysis, image recognition. Previous research interest includes Cantonese speech recognition, constraint satisfaction problems and image database..
Research Interest
Data mining, financial engineering, causal analysis, machine learning, big data analysis, bioinformatics, the modelling of artificial neural networks. The applications of neural networks and ICA in time series prediction, portfolio management, risk analysis, gene expression data analysis, image recognition. Previous research interest includes Cantonese speech recognition, constraint satisfaction problems and image database.
Publications
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Furui Liu, Laiwan Chan. Causal Discovery on Discrete Data with Extensions to Mixture Models, ACM Transactions on Intelligent Systems and Technology (TIST), Vol 7, No. 2, 2016, 21 (pdf)
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Furui Liu, Laiwan Chan. Causal Inference on Discrete Data via Estimating Distance Correlations,Neural Computation, Vol 28, No. 5, 2016, pp801--814 (pdf)
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Zijiang Yang, Laiwan Chan. Cointegrated Portfolio Management , CUHK Technical Report CUHK-CSE-2016-09 (pdf)