Sin Chun Ng

According to our database, Sin Chun Ng authored at least 64 papers between 1994 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A BERT Framework to Sentiment Analysis of Tweets.

Abayomi Bello, Sin Chun Ng, Man-Fai Leung

Sensors, 2023

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

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

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

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

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

Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit.

Yin-Hei Chan, Andrew Kwok-Fai Lui, Sin Chun Ng

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

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

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 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

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

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 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

Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

A hybrid algorithm based on MOEA/D and local search for multiobjective optimization.

Man-Fai Leung, Sin Chun Ng

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2018

Accommodating Perturbation of Cluster Memberships in Optimal Trend by Multi-model Evolutionary Clustering.

Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization.

Chun-Wa Leung, Sin Chun Ng, Andrew K. Lui

Proceedings of the Neural Information Processing - 25th International Conference, 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

Proceedings of the Blended Learning. Enhancing Learning Success, 2018

Improved efficiency of MOPSO with adaptive inertia weight and dynamic search space.

Lee-Ping Pang, Sin Chun Ng

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

Improved activation schema on Automatic Clustering using Differential Evolution algorithm.

Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui, Man-Fai Leung

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

A systematic algorithm to escape from local minima in training feed-forward neural networks.

Chi-Chung Cheung, Sean Shensheng Xu, Sin Chun Ng

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Improved adaptive global replacement scheme for MOEA/D-AGR.

Hiu-Hin Tam, Man-Fai Leung, Zhenkun Wang, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

A new algorithm based on PSO for Multi-Objective Optimization.

Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

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

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A new strategy for finding good local guides in MOPSO.

Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

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

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

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

Proceedings of the Advances in Neural Networks - ISNN 2012, 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

Proceedings of the Advances in Neural Networks - ISNN 2012, 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

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Improving the Quickprop algorithm.

Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

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

Proceedings of the Sixth International Conference on Distributed Smart Cameras, 2012

2011

A fast learning algorithm with Promising Convergence Capability.

Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Facilitating independent learning with Lego Mindstorms robots.

Andrew K. Lui, Sin Chun Ng, Yannie H. Y. Cheung, Prabhat Gurung

Inroads, 2010

Enhanced Two-Phase method in fast learning algorithms.

Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

The multi-phase method in fast learning algorithms.

Chi-Chung Cheung, Sin Chun Ng

Proceedings of the International Joint Conference on Neural Networks, 2009

2008

Combining neural-based regression predictors using an unbiased and normalized linear ensemble model.

Yunfeng Wu, Yachao Zhou, Sin Chun Ng, Yixin Zhong

Proceedings of the International Joint Conference on Neural Networks, 2008

Backpropagation with two-phase magnified gradient function.

Chi-Chung Cheung, Sin Chun Ng

Proceedings of the International Joint Conference on Neural Networks, 2008

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

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

Unbiased Linear Neural-Based Fusion with Normalized Weighted Average Algorithm for Regression.

Yunfeng Wu, Sin Chun Ng

Proceedings of the Advances in Neural Networks, 2007

Breast Tissue Classification Based on Unbiased Linear Fusion of Neural Networks with Normalized Weighted Average Algorithm.

Yunfeng Wu, Sin Chun Ng

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function.

Sin Chun Ng, Shu Hung Leung, Andrew Luk, Yunfeng Wu

Proceedings of the International Joint Conference on Neural Networks, 2006

Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies.

Yunfeng Wu, Cong Wang, Sin Chun Ng, Anant Madabhushi, Yixin Zhong

Proceedings of the Neural Information Processing, 13th International Conference, 2006

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

Proceedings of the Advances in Web-Based Learning - ICWL 2005, 4th International Conference, Hong Kong, China, July 31, 2005

Linear Decision Fusions in Multilayer Perceptrons for Breast Cancer Diagnosis.

Yunfeng Wu, Jinming Zhang, Cong Wang, Sin Chun Ng

Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

Building Software Agents to Assist Teaching in Distance Learning Environments.

Sheung-On Choy, Sin Chun Ng, Yiu-Chung Tsang

Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005

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

An Interactive Learning Environment for Teaching and Learning of Computer Programming.

Sheung-On Choy, Sin Chun Ng

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2004

2003

Gradient based variable forgetting factor RLS algorithm.

Chi Fuk So, Sin Chun Ng, Shu Hung Leung

Signal Process., 2003

2001

On solving the local minima problem of adaptive learning by using deterministic weight evolution algorithm.

Sin Chun Ng, S. H. Leung

Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000

A Weight Evolution Algorithm with Deterministic Perturbation.

Sin Chun Ng, Shu Hung Leung, Andrew Luk

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A weight evolution algorithm for finding the global minimum of error function in neural networks.

Sin Chun Ng, S. H. Leung

Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999

Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate.

Sin Chun Ng, Shu Hung Leung, Andrew Luk

Neural Process. Lett., 1999

The generalized back-propagation algorithm with convergence analysis.

Sin Chun Ng, Shu Hung Leung, Andrew Luk

Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimum.

Sin Chun Ng, Shu-Hung Leung, Andrew Luk

Proceedings of the International Joint Conference Neural Networks, 1999

A variable step size algorithm using evolution strategies for adaptive filtering.

Sin Chun Ng, Chi Yin Chung, Shu-Hung Leung, Andrew Luk

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1997

Weight evolution algorithm with dynamic offset range.

Sin Chun Ng, S. H. Leung, Andrew Luk

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

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

A generalized backpropagation algorithm for faster convergence.

Sin Chun Ng, S. H. Leung, Andrew Luk

Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Evolution of Connection Weights Combined with Local Search for Multi-Layered Neural Network.

Sin Chun Ng, Shu Hung Leung, Andrew Luk

Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Fast Implementation of Evolutionary Variable Step Size Algorithm.

C. Y. Ching, Sin Chun Ng, Shu Hung Leung

Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1995

A Variable Step Size Algorithm with Generate-and Evaluate Function.

Chi Yin Chung, Sin Chun Ng, Shu Hung Leung, Andrew Luk

Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagation.

Sin Chun Ng, S. H. Leung, Andrew Luk

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994

An Evolutionary Search Algorithm for Adaptive IIR Equalizer.

Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk

Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

A New Variable Step-size Algorithm using Genetic-Type Search.

Shu Hung Leung, Chi Yin Chung, Sin Chun Ng

Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

Fast convergent genetic search for adaptive IIR filtering.

Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk

Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994