Graduate Students

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Patrick Yip (MPhil) Motion Detection : A Neural Network Approach

Patrick Ko (MPhil) An Integration of Hidden Markov Model and Neural Network for Phoneme Recognition

Evan Young (MPhil) Locally Connected Recurrent Neural Networks

Benjamin Tsik (MPhil) Large Vocabulary Cantonese Speech Recognition Using Neural Networks

Chan W. C. (MPhil) A Multi-resolution Learning Method for Back-Propagation Networks

Andrew Leung (PhD) The Statistical Analysis and Encoding Methods of Bidirectional Associative Memory

John Sum (MPhil) From Self-Organizing Map to Unsupervised Fuzzy Neural Network : A Study

Edward Ho (PhD) Robust Parsing with Confluent Preorder Parser

Alfred Ng (PhD) Automatic Recognition of Continuous Cantonese Speech

Tom Szeto (MPhil) Applying Levenberg Marquardt Algorithm with Block Diagonal Hessian Approximation to Recurrent Neural Network Training

Daniel Yung (MPhil) Portfolio Trading System Using Maximum Sharpe Ratio Criterion

Lawrence Cha (MPhil) Independent Factor Model Constructions and Its Applications in Finance

Yingqian Zhang (MPhil) Forenet : Fourier Recurrent Neural Networks for Time Series Prediction

Yang, Haiqin (M.Phil.) Margin Variations in Support Vector Regression for the Stock Market Prediction (co-supervised with Prof. Irwin King)

Sui, Sen (M.Phil.) Value-at-Risk Analysis of Portfolio Return Model Using Independent Component Analysis and Gaussian Mixture Model

Ng, Manfred (M.Sc.)

Zhang, Kun (Ph.D.) Extensions of Independent Component Analysis - Towards Applications

Tsue, Wing Yeung Brian (M.Phil.) RL-Based Portfolio Management System

Zhou, Tu (M.Phil.) Modeling Multivariate Financial Time Series Based on Correlation Clustering

Teng, Li (Ph.D.)

Lam, Albert (M.Phil)

Wang Zhenxing (Ph.D.)

Chen Zhiteng (Ph.D.)

Lin Jie (MPhil)