Fast convergent genetic search for adaptive IIR filtering. - Sin Chun Ng; Chi Yin Chung; Shu Hung Leung; Andrew Luk (ICASSP (3), 1994)

A New Variable Step-size Algorithm using Genetic-Type Search. - Shu Hung Leung; Chi Yin Chung; Sin Chun Ng (ISCAS, 1994)

An Evolutionary Search Algorithm for Adaptive IIR Equalizer. - Sin Chun Ng; Chi Yin Chung; Shu Hung Leung; Andrew Luk (ISCAS, 1994)

Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagation. - Sin Chun Ng; S. H. Leung 001; Andrew Luk (ICNN, 1995)

A Variable Step Size Algorithm with Generate-and Evaluate Function. - Chi Yin Chung; Sin Chun Ng; Shu Hung Leung; Andrew Luk (ISCAS, 1995)

Fast Implementation of Evolutionary Variable Step Size Algorithm. - C. Y. Ching; Sin Chun Ng; Shu Hung Leung (International Conference on Evolutionary Computation, 1996)

Evolution of Connection Weights Combined with Local Search for Multi-Layered Neural Network. - Sin Chun Ng; Shu Hung Leung; Andrew Luk (International Conference on Evolutionary Computation, 1996)

A generalized backpropagation algorithm for faster convergence. - Sin Chun Ng; S. H. Leung 001; Andrew Luk (ICNN, 1996)

The genetic search approach. A new learning algorithm for adaptive IIR filtering. - Sin Chun Ng; Shu-Hung Leung; Chi Yin Chung; Andrew Luk; Wing Hong Lau (IEEE Signal Process. Mag., 1996)

Weight evolution algorithm with dynamic offset range. - Sin Chun Ng; S. H. Leung 001; Andrew Luk (ICNN, 1997)

A variable step size algorithm using evolution strategies for adaptive filtering. - Sin Chun Ng; Chi Yin Chung; Shu-Hung Leung; Andrew Luk (CEC, 1999)

A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimum. - Sin Chun Ng; Shu-Hung Leung; Andrew Luk (IJCNN, 1999)

The generalized back-propagation algorithm with convergence analysis. - Sin Chun Ng; Shu Hung Leung; Andrew Luk (ISCAS (5), 1999)

Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate. - Sin Chun Ng; Shu Hung Leung; Andrew Luk (Neural Process. Lett., 1999)

A weight evolution algorithm for finding the global minimum of error function in neural networks. - Sin Chun Ng; S. H. Leung 001 (CEC, 2000)

A Weight Evolution Algorithm with Deterministic Perturbation. - Sin Chun Ng; Shu Hung Leung; Andrew Luk (IJCNN (1), 2000)

On solving the local minima problem of adaptive learning by using deterministic weight evolution algorithm. - Sin Chun Ng; S. H. Leung 001 (CEC, 2001)

Fast convergence for backpropagation network with magnified gradient function. - Sin Chun Ng; Chi-Chung Cheung; Shu-hung Leung; Andrew Luk (IJCNN, 2003)

RLS lattice algorithm using gradient based variable forgetting factor. - Chi Fuk So; Sin Chun Ng; Shu-Hung Leung (IJCNN, 2003)

Gradient based variable forgetting factor RLS algorithm. - Chi Fuk So; Sin Chun Ng; Shu Hung Leung (Signal Process., 2003)

An Interactive Learning Environment for Teaching and Learning of Computer Programming. - Sheung-On Choy; Sin Chun Ng (ICALT, 2004)

Deterministic weight modification algorithm for efficient learning. - Sin Chun Ng; Chi-Chung Cheung; Shu-Hung Leung (IJCNN, 2004)

TLS linear prediction with optimum root selection for resolving closely space sinusoids. - Chi Fuk So; Sin Chun Ng; Shu-Hung Leung (IJCNN, 2004)

Magnified gradient function with deterministic weight modification in adaptive learning. - Sin Chun Ng; Chi-Chung Cheung; Shu Hung Leung (IEEE Trans. Neural Networks, 2004)

Building Software Agents to Assist Teaching in Distance Learning Environments. - Sheung-On Choy; Sin Chun Ng; Yiu-Chung Tsang (ICALT, 2005)

Linear Decision Fusions in Multilayer Perceptrons for Breast Cancer Diagnosis. - Yunfeng Wu; Jinming Zhang; Cong Wang; Sin Chun Ng (ICTAI, 2005)

A Web-Based Environment to Improve Teaching and Learning of Computer Programming in Distance Education. - Sin Chun Ng; Steven O. Choy; Reggie Kwan; Jimmy S. F. Chan (ICWL, 2005)

Evolution strategies on connection weights into modified gradient function for multi-layer neural networks. - Sin Chun Ng; Shu-Hung Leung; Andrew Luk (IJCNN, 2005)

Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies. - Yunfeng Wu; Cong Wang; Sin Chun Ng; Anant Madabhushi; Yixin Zhong (ICONIP (3), 2006)

Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function. - Sin Chun Ng; Shu Hung Leung; Andrew Luk; Yunfeng Wu (IJCNN, 2006)

Breast Tissue Classification Based on Unbiased Linear Fusion of Neural Networks with Normalized Weighted Average Algorithm. - Yunfeng Wu; Sin Chun Ng (IJCNN, 2007)

Unbiased Linear Neural-Based Fusion with Normalized Weighted Average Algorithm for Regression. - Yunfeng Wu; Sin Chun Ng (ISNN (2), 2007)

An evaluation framework of expertise presence in computer conferences. - Andrew K. Lui; Philip M. Tsang; Reggie Kwan; Sin Chun Ng; Yannie H. Y. Cheung; Sheung-On Choy (Br. J. Educ. Technol., 2007)

Design and implementation of NN5 for Hong Kong stock price forecasting. - Philip M. Tsang; Paul Kwok; Steven O. Choy; Reggie Kwan; Sin Chun Ng; Jacky Mak; Jonathan Tsang; Kai S. Koong; Tak-Lam Wong (Eng. Appl. Artif. Intell., 2007)

Backpropagation with two-phase magnified gradient function. - Chi-Chung Cheung; Sin Chun Ng (IJCNN, 2008)

Combining neural-based regression predictors using an unbiased and normalized linear ensemble model. - Yunfeng Wu; Yachao Zhou; Sin Chun Ng; Yixin Zhong (IJCNN, 2008)

The multi-phase method in fast learning algorithms. - Chi-Chung Cheung; Sin Chun Ng (IJCNN, 2009)

Enhanced Two-Phase method in fast learning algorithms. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2010)

Facilitating independent learning with Lego Mindstorms robots. - Andrew K. Lui; Sin Chun Ng; Yannie H. Y. Cheung; Prabhat Gurung (Inroads, 2010)

A fast learning algorithm with Promising Convergence Capability. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2011)

Development of a mental stress relaxation tool based on guided imagery and Microsoft Kinect. - Andrew Kwok-Fai Lui; Ka-Fai Wong; Sin Chun Ng; Ka-Hing Law (ICDSC, 2012)

Improving the Quickprop algorithm. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui (IJCNN, 2012)

Multi-phase Fast Learning Algorithms for Solving the Local Minimum Problem in Feed-Forward Neural Networks. - Chi-Chung Cheung; Sin Chun Ng; Andrew Kwok-Fai Lui (ISNN (1), 2012)

Addressing the Local Minima Problem by Output Monitoring and Modification Algorithms. - Sin Chun Ng; Chi-Chung Cheung; Andrew Kwok-Fai Lui; Hau-Ting Tse (ISNN (1), 2012)

Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms. - Sin Chun Ng; Chi-Chung Cheung; Andrew Kwok-Fai Lui; Sean Shensheng Xu (ISNN (1), 2012)

A new fast learning algorithm with promising global convergence capability for feed-forward neural networks. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2013)

A new strategy for finding good local guides in MOPSO. - Man-Fai Leung; Sin Chun Ng; Chi-Chung Cheung; Andrew K. Lui (IEEE Congress on Evolutionary Computation, 2014)

Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2014)

A new algorithm based on PSO for Multi-Objective Optimization. - Man-Fai Leung; Sin Chun Ng; Chi-Chung Cheung; Andrew K. Lui (CEC, 2015)

Improved adaptive global replacement scheme for MOEA/D-AGR. - Hiu-Hin Tam; Man-Fai Leung; Zhenkun Wang 001; Sin Chun Ng; Chi-Chung Cheung; Andrew K. Lui (CEC, 2016)

A systematic algorithm to escape from local minima in training feed-forward neural networks. - Chi-Chung Cheung; Sean Shensheng Xu; Sin Chun Ng (IJCNN, 2016)

Improved activation schema on Automatic Clustering using Differential Evolution algorithm. - Hiu-Hin Tam; Sin Chun Ng; Andrew K. Lui; Man-Fai Leung (CEC, 2017)

Improved efficiency of MOPSO with adaptive inertia weight and dynamic search space. - Lee-Ping Pang; Sin Chun Ng (GECCO (Companion), 2018)

A Digital Storytelling Group Assignment for Fostering Sense of Belonging of First-Year Students. - Andrew Kwok-Fai Lui; Maria Hiu Man Poon; Sin Chun Ng (ICBL, 2018)

Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization. - Chun-Wa Leung; Sin Chun Ng; Andrew K. Lui (ICONIP (2), 2018)

Accommodating Perturbation of Cluster Memberships in Optimal Trend by Multi-model Evolutionary Clustering. - Hiu-Hin Tam; Sin Chun Ng; Andrew K. Lui (SMC, 2018)

A hybrid algorithm based on MOEA/D and local search for multiobjective optimization. - Man-Fai Leung; Sin Chun Ng (CEC, 2020)

A Visually Impaired Assistant Using Neural Network and Image Recognition with Physical Navigation. - On-Chun Arthur Liu; Shun-Ki Li; Li-Qi Yan; Sin Chun Ng; Chok-Pang Kwok (ISNN, 2020)

Entropy-based Recognition of Anomalous Answers for Efficient Grading of Short Answers with an Evolutionary Clustering Algorithm. - Andrew Kwok-Fai Lui; Sin Chun Ng; Stella Wing-Nga Cheung (SSCI, 2020)

A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization. - Man-Fai Leung; Carlos Artemio Coello Coello; Chi-Chung Cheung; Sin Chun Ng; Andrew Kwok-Fai Lui (IEEE Access, 2020)

An Intelligent Traffic Light System Using Object Detection and Evolutionary Algorithm for Alleviating Traffic Congestion in Hong Kong. - Sin Chun Ng; Chok-Pang Kwok (Int. J. Comput. Intell. Syst., 2020)

A mobile application with augmented reality in exploring the natural environment of Hong Kong. - Sin Chun Ng; Ho-Chun Lee; King-Nam Cheng; Heung-Hang Ngan (Int. J. Mob. Learn. Organisation, 2020)

Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit. - Yin-Hei Chan; Andrew Kwok-Fai Lui; Sin Chun Ng (SMC, 2021)

A Competitive Mechanism Multi-Objective Particle Swarm Optimization Algorithm and Its Application to Signalized Traffic Problem. - Man-Chung Yuen; Sin Chun Ng; Man-Fai Leung (Cybern. Syst., 2021)

An Intelligent Mobile Application for Assisting Visually Impaired in Daily Consumption Based on Machine Learning with Assistive Technology. - Sin Chun Ng; Chok-Pang Kwok; Sin-Hang Chung; Yuen-Yan Leung; Hoi-Shan Pang; Chun-Yip Lam; Ka-Chun Lau; Chung Man Tang (Int. J. Artif. Intell. Tools, 2021)

EEG-based emotion recognition using hybrid CNN and LSTM classification. - Bhuvaneshwari Chakravarthi; Sin Chun Ng; M. R. Ezilarasan; Man-Fai Leung (Frontiers Comput. Neurosci., 2022)

A framework for effectively utilising human grading input in automated short answer grading. - Andrew Kwok-Fai Lui; Sin Chun Ng; Stella Wing-Nga Cheung (Int. J. Mob. Learn. Organisation, 2022)

Looking through the fog of remote Zoom teaching: a case study of at-risk student prediction. - Andrew Kwok-Fai Lui; Sin Chun Ng (Int. J. Mob. Learn. Organisation, 2023)

A BERT Framework to Sentiment Analysis of Tweets. - Abayomi Bello; Sin Chun Ng; Man-Fai Leung (Sensors, 2023)