Sin Chun Ng

71 papers B 30C 4Journal 18Unranked 19
YearRankTypeTitle / Venue / Authors
2023 J jnl
A BERT Framework to Sentiment Analysis of Tweets.
Sensors
Abayomi Bello, Sin Chun Ng, Man-Fai Leung
2023 J jnl
Correction to: A metaheuristic-based framework for index tracking with practical constraints.
Complex Intell. Syst.
Man-Chung Yuen, Sin Chun Ng, Man-Fai Leung, Hangjun Che
2023 J jnl
Looking through the fog of remote Zoom teaching: a case study of at-risk student prediction.
Int. J. Mob. Learn. Organisation
Andrew Kwok-Fai Lui, Sin Chun Ng
2022 J jnl
A framework for effectively utilising human grading input in automated short answer grading.
Int. J. Mob. Learn. Organisation
Andrew Kwok-Fai Lui, Sin Chun Ng, Stella Wing-Nga Cheung
2022 J jnl
A metaheuristic-based framework for index tracking with practical constraints.
Complex Intell. Syst.
Man-Chung Yuen, Sin Chun Ng, Man-Fai Leung, Hangjun Che
2022 J jnl
EEG-based emotion recognition using hybrid CNN and LSTM classification.
Frontiers Comput. Neurosci.
Bhuvaneshwari Chakravarthi, Sin Chun Ng, M. R. Ezilarasan, Man-Fai Leung
2021 J jnl
A Competitive Mechanism Multi-Objective Particle Swarm Optimization Algorithm and Its Application to Signalized Traffic Problem.
Cybern. Syst.
Man-Chung Yuen, Sin Chun Ng, Man-Fai Leung
2021 J jnl
An Intelligent Mobile Application for Assisting Visually Impaired in Daily Consumption Based on Machine Learning with Assistive Technology.
Int. J. Artif. Intell. Tools
Sin Chun Ng, Chok-Pang Kwok, Sin-Hang Chung, Yuen-Yan Leung, Hoi-Shan Pang, Chun-Yip Lam, Ka-Chun Lau, Chung Man Tang
2021 B conf
Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit.
SMC
Yin-Hei Chan, Andrew Kwok-Fai Lui, Sin Chun Ng
2020 J jnl
A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization.
IEEE Access
Man-Fai Leung, Carlos Artemio Coello Coello, Chi-Chung Cheung, Sin Chun Ng, Andrew Kwok-Fai Lui
2020 C conf
A Visually Impaired Assistant Using Neural Network and Image Recognition with Physical Navigation.
ISNN
On-Chun Arthur Liu, Shun-Ki Li, Li-Qi Yan, Sin Chun Ng, Chok-Pang Kwok
2020 B conf
A hybrid algorithm based on MOEA/D and local search for multiobjective optimization.
CEC
Man-Fai Leung, Sin Chun Ng
2020 J jnl
A mobile application with augmented reality in exploring the natural environment of Hong Kong.
Int. J. Mob. Learn. Organisation
Sin Chun Ng, Ho-Chun Lee, King-Nam Cheng, Heung-Hang Ngan
2020 J jnl
An Intelligent Traffic Light System Using Object Detection and Evolutionary Algorithm for Alleviating Traffic Congestion in Hong Kong.
Int. J. Comput. Intell. Syst.
Sin Chun Ng, Chok-Pang Kwok
2020 — conf
Entropy-based Recognition of Anomalous Answers for Efficient Grading of Short Answers with an Evolutionary Clustering Algorithm.
SSCI
Andrew Kwok-Fai Lui, Sin Chun Ng, Stella Wing-Nga Cheung
2018 — conf
A Digital Storytelling Group Assignment for Fostering Sense of Belonging of First-Year Students.
ICBL
Andrew Kwok-Fai Lui, Maria Hiu Man Poon, Sin Chun Ng
2018 B conf
Accommodating Perturbation of Cluster Memberships in Optimal Trend by Multi-model Evolutionary Clustering.
SMC
Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui
2018 — conf
Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization.
ICONIP (2)
Chun-Wa Leung, Sin Chun Ng, Andrew K. Lui
2018 — conf
Improved efficiency of MOPSO with adaptive inertia weight and dynamic search space.
GECCO (Companion)
Lee-Ping Pang, Sin Chun Ng
2017 B conf
Improved activation schema on Automatic Clustering using Differential Evolution algorithm.
CEC
Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui, Man-Fai Leung
2016 B conf
A systematic algorithm to escape from local minima in training feed-forward neural networks.
IJCNN
Chi-Chung Cheung, Sean Shensheng Xu, Sin Chun Ng
2016 B conf
Improved adaptive global replacement scheme for MOEA/D-AGR.
CEC
Hiu-Hin Tam, Man-Fai Leung, Zhenkun Wang, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
2015 B conf
A new algorithm based on PSO for Multi-Objective Optimization.
CEC
Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
2014 B conf
A new strategy for finding good local guides in MOPSO.
IEEE Congress on Evolutionary Computation
Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
2014 B conf
Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks.
IJCNN
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
2013 B conf
A new fast learning algorithm with promising global convergence capability for feed-forward neural networks.
IJCNN
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
2012 — conf
Addressing the Local Minima Problem by Output Monitoring and Modification Algorithms.
ISNN (1)
Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Hau-Ting Tse
2012 — conf
Development of a mental stress relaxation tool based on guided imagery and Microsoft Kinect.
ICDSC
Andrew Kwok-Fai Lui, Ka-Fai Wong, Sin Chun Ng, Ka-Hing Law
2012 B conf
Improving the Quickprop algorithm.
IJCNN
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui
2012 — conf
Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms.
ISNN (1)
Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Sean Shensheng Xu
2012 — conf
Multi-phase Fast Learning Algorithms for Solving the Local Minimum Problem in Feed-Forward Neural Networks.
ISNN (1)
Chi-Chung Cheung, Sin Chun Ng, Andrew Kwok-Fai Lui
2011 B conf
A fast learning algorithm with Promising Convergence Capability.
IJCNN
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
2010 B conf
Enhanced Two-Phase method in fast learning algorithms.
IJCNN
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
2010 J jnl
Facilitating independent learning with Lego Mindstorms robots.
Inroads
Andrew K. Lui, Sin Chun Ng, Yannie H. Y. Cheung, Prabhat Gurung
2009 B conf
The multi-phase method in fast learning algorithms.
IJCNN
Chi-Chung Cheung, Sin Chun Ng
2008 B conf
Backpropagation with two-phase magnified gradient function.
IJCNN
Chi-Chung Cheung, Sin Chun Ng
2008 B conf
Combining neural-based regression predictors using an unbiased and normalized linear ensemble model.
IJCNN
Yunfeng Wu, Yachao Zhou, Sin Chun Ng, Yixin Zhong
2007 J jnl
An evaluation framework of expertise presence in computer conferences.
Br. J. Educ. Technol.
Andrew K. Lui, Philip M. Tsang, Reggie Kwan, Sin Chun Ng, Yannie H. Y. Cheung, Sheung-On Choy
2007 B conf
Breast Tissue Classification Based on Unbiased Linear Fusion of Neural Networks with Normalized Weighted Average Algorithm.
IJCNN
Yunfeng Wu, Sin Chun Ng
2007 J jnl
Design and implementation of NN5 for Hong Kong stock price forecasting.
Eng. Appl. Artif. Intell.
Philip M. Tsang, Paul Kwok, Steven O. Choy, Reggie Kwan, Sin Chun Ng, Jacky Mak, Jonathan Tsang, Kai S. Koong, Tak-Lam Wong
2007 — conf
Unbiased Linear Neural-Based Fusion with Normalized Weighted Average Algorithm for Regression.
ISNN (2)
Yunfeng Wu, Sin Chun Ng
2006 — conf
Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies.
ICONIP (3)
Yunfeng Wu, Cong Wang, Sin Chun Ng, Anant Madabhushi, Yixin Zhong
2006 B conf
Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function.
IJCNN
Sin Chun Ng, Shu Hung Leung, Andrew Luk, Yunfeng Wu
2005 — conf
A Web-Based Environment to Improve Teaching and Learning of Computer Programming in Distance Education.
ICWL
Sin Chun Ng, Steven O. Choy, Reggie Kwan, Jimmy S. F. Chan
2005 B conf
Building Software Agents to Assist Teaching in Distance Learning Environments.
ICALT
Sheung-On Choy, Sin Chun Ng, Yiu-Chung Tsang
2005 B conf
Evolution strategies on connection weights into modified gradient function for multi-layer neural networks.
IJCNN
Sin Chun Ng, Shu-Hung Leung, Andrew Luk
2005 B conf
Linear Decision Fusions in Multilayer Perceptrons for Breast Cancer Diagnosis.
ICTAI
Yunfeng Wu, Jinming Zhang, Cong Wang, Sin Chun Ng
2004 B conf
An Interactive Learning Environment for Teaching and Learning of Computer Programming.
ICALT
Sheung-On Choy, Sin Chun Ng
2004 B conf
Deterministic weight modification algorithm for efficient learning.
IJCNN
Sin Chun Ng, Chi-Chung Cheung, Shu-Hung Leung
2004 J jnl
Magnified gradient function with deterministic weight modification in adaptive learning.
IEEE Trans. Neural Networks
Sin Chun Ng, Chi-Chung Cheung, Shu Hung Leung
2004 B conf
TLS linear prediction with optimum root selection for resolving closely space sinusoids.
IJCNN
Chi Fuk So, Sin Chun Ng, Shu-Hung Leung
2003 B conf
Fast convergence for backpropagation network with magnified gradient function.
IJCNN
Sin Chun Ng, Chi-Chung Cheung, Shu-Hung Leung, Andrew Luk
2003 J jnl
Gradient based variable forgetting factor RLS algorithm.
Signal Process.
Chi Fuk So, Sin Chun Ng, Shu Hung Leung
2003 B conf
RLS lattice algorithm using gradient based variable forgetting factor.
IJCNN
Chi Fuk So, Sin Chun Ng, Shu-Hung Leung
2001 B conf
On solving the local minima problem of adaptive learning by using deterministic weight evolution algorithm.
CEC
Sin Chun Ng, S. H. Leung
2000 — conf
A Weight Evolution Algorithm with Deterministic Perturbation.
IJCNN (1)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
2000 B conf
A weight evolution algorithm for finding the global minimum of error function in neural networks.
CEC
Sin Chun Ng, S. H. Leung
1999 B conf
A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimum.
IJCNN
Sin Chun Ng, Shu-Hung Leung, Andrew Luk
1999 B conf
A variable step size algorithm using evolution strategies for adaptive filtering.
CEC
Sin Chun Ng, Chi Yin Chung, Shu-Hung Leung, Andrew Luk
1999 J jnl
Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate.
Neural Process. Lett.
Sin Chun Ng, Shu Hung Leung, Andrew Luk
1999 — conf
The generalized back-propagation algorithm with convergence analysis.
ISCAS (5)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
1997 — conf
Weight evolution algorithm with dynamic offset range.
ICNN
Sin Chun Ng, S. H. Leung, Andrew Luk
1996 — conf
A generalized backpropagation algorithm for faster convergence.
ICNN
Sin Chun Ng, S. H. Leung, Andrew Luk
1996 — conf
Evolution of Connection Weights Combined with Local Search for Multi-Layered Neural Network.
International Conference on Evolutionary Computation
Sin Chun Ng, Shu Hung Leung, Andrew Luk
1996 — conf
Fast Implementation of Evolutionary Variable Step Size Algorithm.
International Conference on Evolutionary Computation
C. Y. Ching, Sin Chun Ng, Shu Hung Leung
1996 J jnl
The genetic search approach. A new learning algorithm for adaptive IIR filtering.
IEEE Signal Process. Mag.
Sin Chun Ng, Shu-Hung Leung, Chi Yin Chung, Andrew Luk, Wing Hong Lau
1995 C conf
A Variable Step Size Algorithm with Generate-and Evaluate Function.
ISCAS
Chi Yin Chung, Sin Chun Ng, Shu Hung Leung, Andrew Luk
1995 — conf
Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagation.
ICNN
Sin Chun Ng, S. H. Leung, Andrew Luk
1994 C conf
A New Variable Step-size Algorithm using Genetic-Type Search.
ISCAS
Shu Hung Leung, Chi Yin Chung, Sin Chun Ng
1994 C conf
An Evolutionary Search Algorithm for Adaptive IIR Equalizer.
ISCAS
Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk
1994 — conf
Fast convergent genetic search for adaptive IIR filtering.
ICASSP (3)
Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk