Sin Chun Ng

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 20

Top Topics

Traffic Congestion

Evolutionary Clustering

Top Venues

Int. J. Mob. Learn. Organisation

Publications

Abayomi Bello, Sin Chun Ng, Man-Fai Leung
A BERT Framework to Sentiment Analysis of Tweets. Sensors 23 (1) (2023)
Andrew Kwok-Fai Lui, Sin Chun Ng
Looking through the fog of remote Zoom teaching: a case study of at-risk student prediction. Int. J. Mob. Learn. Organisation 17 (4) (2023)
Andrew Kwok-Fai Lui, Sin Chun Ng, Stella Wing-Nga Cheung
A framework for effectively utilising human grading input in automated short answer grading. Int. J. Mob. Learn. Organisation 16 (3) (2022)
Bhuvaneshwari Chakravarthi, Sin Chun Ng, M. R. Ezilarasan, Man-Fai Leung
EEG-based emotion recognition using hybrid CNN and LSTM classification. Frontiers Comput. Neurosci. 16 (2022)
Sin Chun Ng, Chok-Pang Kwok, Sin-Hang Chung, Yuen-Yan Leung, Hoi-Shan Pang, Chun-Yip Lam, Ka-Chun Lau, Chung Man Tang
An Intelligent Mobile Application for Assisting Visually Impaired in Daily Consumption Based on Machine Learning with Assistive Technology. Int. J. Artif. Intell. Tools 30 (1) (2021)
Man-Chung Yuen, Sin Chun Ng, Man-Fai Leung
A Competitive Mechanism Multi-Objective Particle Swarm Optimization Algorithm and Its Application to Signalized Traffic Problem. Cybern. Syst. 52 (1) (2021)
Yin-Hei Chan, Andrew Kwok-Fai Lui, Sin Chun Ng
Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit. SMC (2021)
On-Chun Arthur Liu, Shun-Ki Li, Li-Qi Yan, Sin Chun Ng, Chok-Pang Kwok
A Visually Impaired Assistant Using Neural Network and Image Recognition with Physical Navigation. ISNN (2020)
Andrew Kwok-Fai Lui, Sin Chun Ng, Stella Wing-Nga Cheung
Entropy-based Recognition of Anomalous Answers for Efficient Grading of Short Answers with an Evolutionary Clustering Algorithm. SSCI (2020)
Man-Fai Leung, Carlos Artemio Coello Coello, Chi-Chung Cheung, Sin Chun Ng, Andrew Kwok-Fai Lui
A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization. IEEE Access 8 (2020)
Man-Fai Leung, Sin Chun Ng
A hybrid algorithm based on MOEA/D and local search for multiobjective optimization. CEC (2020)
Sin Chun Ng, Chok-Pang Kwok
An Intelligent Traffic Light System Using Object Detection and Evolutionary Algorithm for Alleviating Traffic Congestion in Hong Kong. Int. J. Comput. Intell. Syst. 13 (1) (2020)
Sin Chun Ng, Ho-Chun Lee, King-Nam Cheng, Heung-Hang Ngan
A mobile application with augmented reality in exploring the natural environment of Hong Kong. Int. J. Mob. Learn. Organisation 14 (1) (2020)
Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui
Accommodating Perturbation of Cluster Memberships in Optimal Trend by Multi-model Evolutionary Clustering. SMC (2018)
Lee-Ping Pang, Sin Chun Ng
Improved efficiency of MOPSO with adaptive inertia weight and dynamic search space. GECCO (Companion) (2018)
Chun-Wa Leung, Sin Chun Ng, Andrew K. Lui
Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization. ICONIP (2) (2018)
Andrew Kwok-Fai Lui, Maria Hiu Man Poon, Sin Chun Ng
A Digital Storytelling Group Assignment for Fostering Sense of Belonging of First-Year Students. ICBL (2018)
Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui, Man-Fai Leung
Improved activation schema on Automatic Clustering using Differential Evolution algorithm. CEC (2017)
Chi-Chung Cheung, Sean Shensheng Xu, Sin Chun Ng
A systematic algorithm to escape from local minima in training feed-forward neural networks. IJCNN (2016)
Hiu-Hin Tam, Man-Fai Leung, Zhenkun Wang, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
Improved adaptive global replacement scheme for MOEA/D-AGR. CEC (2016)
Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
A new algorithm based on PSO for Multi-Objective Optimization. CEC (2015)
Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui
A new strategy for finding good local guides in MOPSO. IEEE Congress on Evolutionary Computation (2014)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks. IJCNN (2014)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
A new fast learning algorithm with promising global convergence capability for feed-forward neural networks. IJCNN (2013)
Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Sean Shensheng Xu
Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms. ISNN (1) (2012)
Andrew Kwok-Fai Lui, Ka-Fai Wong, Sin Chun Ng, Ka-Hing Law
Development of a mental stress relaxation tool based on guided imagery and Microsoft Kinect. ICDSC (2012)
Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Hau-Ting Tse
Addressing the Local Minima Problem by Output Monitoring and Modification Algorithms. ISNN (1) (2012)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui
Improving the Quickprop algorithm. IJCNN (2012)
Chi-Chung Cheung, Sin Chun Ng, Andrew Kwok-Fai Lui
Multi-phase Fast Learning Algorithms for Solving the Local Minimum Problem in Feed-Forward Neural Networks. ISNN (1) (2012)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
A fast learning algorithm with Promising Convergence Capability. IJCNN (2011)
Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu
Enhanced Two-Phase method in fast learning algorithms. IJCNN (2010)
Andrew K. Lui, Sin Chun Ng, Yannie H. Y. Cheung, Prabhat Gurung
Facilitating independent learning with Lego Mindstorms robots. Inroads 1 (4) (2010)
Chi-Chung Cheung, Sin Chun Ng
The multi-phase method in fast learning algorithms. IJCNN (2009)
Chi-Chung Cheung, Sin Chun Ng
Backpropagation with two-phase magnified gradient function. IJCNN (2008)
Yunfeng Wu, Yachao Zhou, Sin Chun Ng, Yixin Zhong
Combining neural-based regression predictors using an unbiased and normalized linear ensemble model. IJCNN (2008)
Yunfeng Wu, Sin Chun Ng
Unbiased Linear Neural-Based Fusion with Normalized Weighted Average Algorithm for Regression. ISNN (2) (2007)
Philip M. Tsang, Paul Kwok, Steven O. Choy, Reggie Kwan, Sin Chun Ng, Jacky Mak, Jonathan Tsang, Kai S. Koong, Tak-Lam Wong
Design and implementation of NN5 for Hong Kong stock price forecasting. Eng. Appl. Artif. Intell. 20 (4) (2007)
Yunfeng Wu, Sin Chun Ng
Breast Tissue Classification Based on Unbiased Linear Fusion of Neural Networks with Normalized Weighted Average Algorithm. IJCNN (2007)
Andrew K. Lui, Philip M. Tsang, Reggie Kwan, Sin Chun Ng, Yannie H. Y. Cheung, Sheung-On Choy
An evaluation framework of expertise presence in computer conferences. Br. J. Educ. Technol. 38 (6) (2007)
Yunfeng Wu, Cong Wang, Sin Chun Ng, Anant Madabhushi, Yixin Zhong
Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies. ICONIP (3) (2006)
Sin Chun Ng, Shu Hung Leung, Andrew Luk, Yunfeng Wu
Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function. IJCNN (2006)
Sin Chun Ng, Steven O. Choy, Reggie Kwan, Jimmy S. F. Chan
A Web-Based Environment to Improve Teaching and Learning of Computer Programming in Distance Education. ICWL (2005)
Yunfeng Wu, Jinming Zhang, Cong Wang, Sin Chun Ng
Linear Decision Fusions in Multilayer Perceptrons for Breast Cancer Diagnosis. ICTAI (2005)
Sheung-On Choy, Sin Chun Ng, Yiu-Chung Tsang
Building Software Agents to Assist Teaching in Distance Learning Environments. ICALT (2005)
Sin Chun Ng, Chi-Chung Cheung, Shu Hung Leung
Magnified gradient function with deterministic weight modification in adaptive learning. IEEE Trans. Neural Networks 15 (6) (2004)
Sheung-On Choy, Sin Chun Ng
An Interactive Learning Environment for Teaching and Learning of Computer Programming. ICALT (2004)
Chi Fuk So, Sin Chun Ng, Shu Hung Leung
Gradient based variable forgetting factor RLS algorithm. Signal Process. 83 (6) (2003)
Sin Chun Ng, S. H. Leung
On solving the local minima problem of adaptive learning by using deterministic weight evolution algorithm. CEC (2001)
Sin Chun Ng, S. H. Leung
A weight evolution algorithm for finding the global minimum of error function in neural networks. CEC (2000)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
A Weight Evolution Algorithm with Deterministic Perturbation. IJCNN (1) (2000)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate. Neural Process. Lett. 9 (1) (1999)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
The generalized back-propagation algorithm with convergence analysis. ISCAS (5) (1999)
Sin Chun Ng, Chi Yin Chung, Shu-Hung Leung, Andrew Luk
A variable step size algorithm using evolution strategies for adaptive filtering. CEC (1999)
Sin Chun Ng, Shu-Hung Leung, Andrew Luk
A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimum. IJCNN (1999)
Sin Chun Ng, S. H. Leung, Andrew Luk
Weight evolution algorithm with dynamic offset range. ICNN (1997)
Sin Chun Ng, Shu-Hung Leung, Chi Yuen Chung, Andrew Luk, Wing Hong Lau
The genetic search approach. A new learning algorithm for adaptive IIR filtering. IEEE Signal Process. Mag. 13 (6) (1996)
Sin Chun Ng, S. H. Leung, Andrew Luk
A generalized backpropagation algorithm for faster convergence. ICNN (1996)
Sin Chun Ng, Shu Hung Leung, Andrew Luk
Evolution of Connection Weights Combined with Local Search for Multi-Layered Neural Network. International Conference on Evolutionary Computation (1996)
C. Y. Ching, Sin Chun Ng, Shu Hung Leung
Fast Implementation of Evolutionary Variable Step Size Algorithm. International Conference on Evolutionary Computation (1996)
Chi Yin Chung, Sin Chun Ng, Shu Hung Leung, Andrew Luk
A Variable Step Size Algorithm with Generate-and Evaluate Function. ISCAS (1995)
Sin Chun Ng, S. H. Leung, Andrew Luk
Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagation. ICNN (1995)
Shu Hung Leung, Chi Yin Chung, Sin Chun Ng
A New Variable Step-size Algorithm using Genetic-Type Search. ISCAS (1994)
Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk
Fast convergent genetic search for adaptive IIR filtering. ICASSP (3) (1994)
Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk
An Evolutionary Search Algorithm for Adaptive IIR Equalizer. ISCAS (1994)