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2020 – today
- 2023
[j16]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): 499-516 (2023)- [j15]Abayomi Bello, Sin Chun Ng, Man-Fai Leung:
A BERT Framework to Sentiment Analysis of Tweets. Sensors 23(1): 506 (2023) - 2022
- [j14]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) - [j13]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): 266-286 (2022) - 2021
- [j12]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): 73-104 (2021) - [j11]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): 2140002:1-2140002:25 (2021) - [c48]Yin-Hei Chan, Andrew Kwok-Fai Lui, Sin Chun Ng:
Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit. SMC 2021: 857-862 - 2020
- [j10]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: 189527-189545 (2020) - [j9]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): 802-809 (2020) - [j8]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): 3-20 (2020) - [c47]Man-Fai Leung, Sin Chun Ng:
A hybrid algorithm based on MOEA/D and local search for multiobjective optimization. CEC 2020: 1-8 - [c46]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: 270-281 - [c45]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: 3091-3098
2010 – 2019
- 2018
- [c44]Lee-Ping Pang, Sin Chun Ng:
Improved efficiency of MOPSO with adaptive inertia weight and dynamic search space. GECCO (Companion) 2018: 1910-1913 - [c43]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: 136-147 - [c42]Chun-Wa Leung, Sin Chun Ng, Andrew K. Lui:
Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization. ICONIP (2) 2018: 564-576 - [c41]Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui:
Accommodating Perturbation of Cluster Memberships in Optimal Trend by Multi-model Evolutionary Clustering. SMC 2018: 1552-1557 - 2017
- [c40]Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui, Man-Fai Leung:
Improved activation schema on Automatic Clustering using Differential Evolution algorithm. CEC 2017: 1749-1756 - 2016
- [c39]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: 2153-2160 - [c38]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: 396-402 - 2015
- [c37]Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui:
A new algorithm based on PSO for Multi-Objective Optimization. CEC 2015: 3156-3162 - 2014
- [c36]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: 1990-1997 - [c35]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: 1225-1230 - 2013
- [c34]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: 1-6 - 2012
- [c33]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: 1-6 - [c32]Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui:
Improving the Quickprop algorithm. IJCNN 2012: 1-6 - [c31]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: 206-216 - [c30]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: 448-457 - [c29]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: 580-589 - 2011
- [c28]Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu:
A fast learning algorithm with Promising Convergence Capability. IJCNN 2011: 937-942 - 2010
- [j7]Andrew K. Lui, Sin Chun Ng, Yannie H. Y. Cheung, Prabhat Gurung:
Facilitating independent learning with Lego Mindstorms robots. Inroads 1(4): 49-53 (2010) - [c27]Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu:
Enhanced Two-Phase method in fast learning algorithms. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [c26]Chi-Chung Cheung, Sin Chun Ng:
The multi-phase method in fast learning algorithms. IJCNN 2009: 552-559 - 2008
- [c25]Chi-Chung Cheung, Sin Chun Ng:
Backpropagation with two-phase magnified gradient function. IJCNN 2008: 710-715 - [c24]Yunfeng Wu, Yachao Zhou, Sin Chun Ng, Yixin Zhong:
Combining neural-based regression predictors using an unbiased and normalized linear ensemble model. IJCNN 2008: 3955-3960 - 2007
- [j6]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): 1020-1036 (2007) - [j5]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): 453-461 (2007) - [c23]Yunfeng Wu, Sin Chun Ng:
Breast Tissue Classification Based on Unbiased Linear Fusion of Neural Networks with Normalized Weighted Average Algorithm. IJCNN 2007: 2846-2850 - [c22]Yunfeng Wu, Sin Chun Ng:
Unbiased Linear Neural-Based Fusion with Normalized Weighted Average Algorithm for Regression. ISNN (2) 2007: 664-670 - 2006
- [c21]Yunfeng Wu, Cong Wang, Sin Chun Ng, Anant Madabhushi, Yixin Zhong:
Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies. ICONIP (3) 2006: 165-175 - [c20]Sin Chun Ng, Shu Hung Leung, Andrew Luk, Yunfeng Wu:
Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function. IJCNN 2006: 3672-3678 - 2005
- [c19]Sheung-On Choy, Sin Chun Ng, Yiu-Chung Tsang:
Building Software Agents to Assist Teaching in Distance Learning Environments. ICALT 2005: 230-232 - [c18]Yunfeng Wu, Jinming Zhang, Cong Wang, Sin Chun Ng:
Linear Decision Fusions in Multilayer Perceptrons for Breast Cancer Diagnosis. ICTAI 2005: 699-700 - [c17]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: 279-290 - 2004
- [j4]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): 1411-1423 (2004) - [c16]Sheung-On Choy, Sin Chun Ng:
An Interactive Learning Environment for Teaching and Learning of Computer Programming. ICALT 2004 - 2003
- [j3]Chi Fuk So, Sin Chun Ng, Shu Hung Leung:
Gradient based variable forgetting factor RLS algorithm. Signal Process. 83(6): 1163-1175 (2003) - 2001
- [c15]Sin Chun Ng, S. H. Leung:
On solving the local minima problem of adaptive learning by using deterministic weight evolution algorithm. CEC 2001: 251-255 - 2000
- [c14]Sin Chun Ng, S. H. Leung:
A weight evolution algorithm for finding the global minimum of error function in neural networks. CEC 2000: 153-157 - [c13]Sin Chun Ng, Shu Hung Leung, Andrew Luk:
A Weight Evolution Algorithm with Deterministic Perturbation. IJCNN (1) 2000: 185-190
1990 – 1999
- 1999
- [j2]Sin Chun Ng, Shu Hung Leung, Andrew Luk:
Fast Convergent Generalized Back-Propagation Algorithm with Constant Learning Rate. Neural Process. Lett. 9(1): 13-23 (1999) - [c12]Sin Chun Ng, Chi Yin Chung, Shu-Hung Leung, Andrew Luk:
A variable step size algorithm using evolution strategies for adaptive filtering. CEC 1999: 542-545 - [c11]Sin Chun Ng, Shu-Hung Leung, Andrew Luk:
A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimum. IJCNN 1999: 4037-4042 - [c10]Sin Chun Ng, Shu Hung Leung, Andrew Luk:
The generalized back-propagation algorithm with convergence analysis. ISCAS (5) 1999: 612-615 - 1997
- [c9]Sin Chun Ng, S. H. Leung, Andrew Luk:
Weight evolution algorithm with dynamic offset range. ICNN 1997: 1093-1096 - 1996
- [j1]Sin Chun Ng, Shu-Hung Leung, Chi Yin Chung, Andrew Luk, Wing Hong Lau:
The genetic search approach. A new learning algorithm for adaptive IIR filtering. IEEE Signal Process. Mag. 13(6): 38-46 (1996) - [c8]C. Y. Ching, Sin Chun Ng, Shu Hung Leung:
Fast Implementation of Evolutionary Variable Step Size Algorithm. International Conference on Evolutionary Computation 1996: 407-410 - [c7]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: 726-731 - [c6]Sin Chun Ng, S. H. Leung, Andrew Luk:
A generalized backpropagation algorithm for faster convergence. ICNN 1996: 409-413 - 1995
- [c5]Sin Chun Ng, S. H. Leung, Andrew Luk:
Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagation. ICNN 1995: 3004-3008 - [c4]Chi Yin Chung, Sin Chun Ng, Shu Hung Leung, Andrew Luk:
A Variable Step Size Algorithm with Generate-and Evaluate Function. ISCAS 1995: 1380-1383 - 1994
- [c3]Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk:
Fast convergent genetic search for adaptive IIR filtering. ICASSP (3) 1994: 105-108 - [c2]Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk:
An Evolutionary Search Algorithm for Adaptive IIR Equalizer. ISCAS 1994: 53-56 - [c1]Shu Hung Leung, Chi Yin Chung, Sin Chun Ng:
A New Variable Step-size Algorithm using Genetic-Type Search. ISCAS 1994: 381-384
Coauthor Index
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