Sin Chun Ng

Orcid: 0000-0002-2972-530X

According to our database1, Sin Chun Ng authored at least 64 papers between 1994 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A BERT Framework to Sentiment Analysis of Tweets.
Sensors, 2023

Looking through the fog of remote Zoom teaching: a case study of at-risk student prediction.
Int. J. Mob. Learn. Organisation, 2023

2022
A framework for effectively utilising human grading input in automated short answer grading.
Int. J. Mob. Learn. Organisation, 2022

EEG-based emotion recognition using hybrid CNN and LSTM classification.
Frontiers Comput. Neurosci., 2022

2021
An Intelligent Mobile Application for Assisting Visually Impaired in Daily Consumption Based on Machine Learning with Assistive Technology.
Int. J. Artif. Intell. Tools, 2021

A Competitive Mechanism Multi-Objective Particle Swarm Optimization Algorithm and Its Application to Signalized Traffic Problem.
Cybern. Syst., 2021

Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit.
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.
Int. J. Mob. Learn. Organisation, 2020

An Intelligent Traffic Light System Using Object Detection and Evolutionary Algorithm for Alleviating Traffic Congestion in Hong Kong.
Int. J. Comput. Intell. Syst., 2020

A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization.
IEEE Access, 2020

Entropy-based Recognition of Anomalous Answers for Efficient Grading of Short Answers with an Evolutionary Clustering Algorithm.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Visually Impaired Assistant Using Neural Network and Image Recognition with Physical Navigation.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

A hybrid algorithm based on MOEA/D and local search for multiobjective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2018
Accommodating Perturbation of Cluster Memberships in Optimal Trend by Multi-model Evolutionary Clustering.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Digital Storytelling Group Assignment for Fostering Sense of Belonging of First-Year Students.
Proceedings of the Blended Learning. Enhancing Learning Success, 2018

Improved efficiency of MOPSO with adaptive inertia weight and dynamic search space.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Improved activation schema on Automatic Clustering using Differential Evolution algorithm.
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.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Improved adaptive global replacement scheme for MOEA/D-AGR.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A new algorithm based on PSO for Multi-Objective Optimization.
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.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A new strategy for finding good local guides in MOPSO.
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.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Addressing the Local Minima Problem by Output Monitoring and Modification Algorithms.
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.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Improving the Quickprop algorithm.
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.
Proceedings of the Sixth International Conference on Distributed Smart Cameras, 2012

2011
A fast learning algorithm with Promising Convergence Capability.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Facilitating independent learning with Lego Mindstorms robots.
Inroads, 2010

Enhanced Two-Phase method in fast learning algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
The multi-phase method in fast learning algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Combining neural-based regression predictors using an unbiased and normalized linear ensemble model.
Proceedings of the International Joint Conference on Neural Networks, 2008

Backpropagation with two-phase magnified gradient function.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Design and implementation of NN5 for Hong Kong stock price forecasting.
Eng. Appl. Artif. Intell., 2007

An evaluation framework of expertise presence in computer conferences.
Br. J. Educ. Technol., 2007

Unbiased Linear Neural-Based Fusion with Normalized Weighted Average Algorithm for Regression.
Proceedings of the Advances in Neural Networks, 2007

Breast Tissue Classification Based on Unbiased Linear Fusion of Neural Networks with Normalized Weighted Average Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function.
Proceedings of the International Joint Conference on Neural Networks, 2006

Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies.
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.
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.
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.
Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005

2004
Magnified gradient function with deterministic weight modification in adaptive learning.
IEEE Trans. Neural Networks, 2004

An Interactive Learning Environment for Teaching and Learning of Computer Programming.
Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2004

2003
Gradient based variable forgetting factor RLS algorithm.
Signal Process., 2003

2001
On solving the local minima problem of adaptive learning by using deterministic weight evolution algorithm.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
A Weight Evolution Algorithm with Deterministic Perturbation.
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.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999
Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate.
Neural Process. Lett., 1999

The generalized back-propagation algorithm with convergence analysis.
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.
Proceedings of the International Joint Conference Neural Networks, 1999

A variable step size algorithm using evolution strategies for adaptive filtering.
Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1997
Weight evolution algorithm with dynamic offset range.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
The genetic search approach. A new learning algorithm for adaptive IIR filtering.
IEEE Signal Process. Mag., 1996

A generalized backpropagation algorithm for faster convergence.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Evolution of Connection Weights Combined with Local Search for Multi-Layered Neural Network.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Fast Implementation of Evolutionary Variable Step Size Algorithm.
Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

1995
A Variable Step Size Algorithm with Generate-and Evaluate Function.
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.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994
An Evolutionary Search Algorithm for Adaptive IIR Equalizer.
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.
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.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994


  Loading...