| 2021 | SMC | Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit. | Yin-Hei Chan, Andrew Kwok-Fai Lui, Sin Chun Ng |
| 2020 | CEC | A hybrid algorithm based on MOEA/D and local search for multiobjective optimization. | Man-Fai Leung, Sin Chun Ng |
| 2020 | ISNN | 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 |
| 2018 | GECCO | Improved efficiency of MOPSO with adaptive inertia weight and dynamic search space. | Lee-Ping Pang, Sin Chun Ng |
| 2018 | ICONIP | Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization. | Chun-Wa Leung, Sin Chun Ng, Andrew K. Lui |
| 2018 | SMC | Accommodating Perturbation of Cluster Memberships in Optimal Trend by Multi-model Evolutionary Clustering. | Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui |
| 2017 | CEC | Improved activation schema on Automatic Clustering using Differential Evolution algorithm. | Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui, Man-Fai Leung |
| 2016 | CEC | 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 |
| 2016 | IJCNN | A systematic algorithm to escape from local minima in training feed-forward neural networks. | Chi-Chung Cheung, Sean Shensheng Xu, Sin Chun Ng |
| 2015 | CEC | A new algorithm based on PSO for Multi-Objective Optimization. | Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui |
| 2014 | CEC | A new strategy for finding good local guides in MOPSO. | Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui |
| 2014 | IJCNN | 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 |
| 2013 | IJCNN | 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 |
| 2012 | IJCNN | Improving the Quickprop algorithm. | Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui |
| 2012 | ISNN | 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 |
| 2012 | ISNN | Addressing the Local Minima Problem by Output Monitoring and Modification Algorithms. | Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Hau-Ting Tse |
| 2012 | ISNN | Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms. | Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Sean Shensheng Xu |
| 2011 | IJCNN | A fast learning algorithm with Promising Convergence Capability. | Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu |
| 2010 | IJCNN | Enhanced Two-Phase method in fast learning algorithms. | Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu |
| 2009 | IJCNN | The multi-phase method in fast learning algorithms. | Chi-Chung Cheung, Sin Chun Ng |
| 2008 | IJCNN | Backpropagation with two-phase magnified gradient function. | Chi-Chung Cheung, Sin Chun Ng |
| 2008 | IJCNN | Combining neural-based regression predictors using an unbiased and normalized linear ensemble model. | Yunfeng Wu, Yachao Zhou, Sin Chun Ng, Yixin Zhong |
| 2007 | IJCNN | Breast Tissue Classification Based on Unbiased Linear Fusion of Neural Networks with Normalized Weighted Average Algorithm. | Yunfeng Wu, Sin Chun Ng |
| 2007 | ISNN | Unbiased Linear Neural-Based Fusion with Normalized Weighted Average Algorithm for Regression. | Yunfeng Wu, Sin Chun Ng |
| 2006 | ICONIP | Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies. | Yunfeng Wu, Cong Wang, Sin Chun Ng, Anant Madabhushi, Yixin Zhong |
| 2006 | IJCNN | Convergence Analysis of Generalized Back-propagation Algorithm with Modified Gradient Function. | Sin Chun Ng, Shu Hung Leung, Andrew Luk, Yunfeng Wu |
| 2005 | ICALT | Building Software Agents to Assist Teaching in Distance Learning Environments. | Sheung-On Choy, Sin Chun Ng, Yiu-Chung Tsang |
| 2005 | IJCNN | Evolution strategies on connection weights into modified gradient function for multi-layer neural networks. | Sin Chun Ng, Shu-Hung Leung, Andrew Luk |
| 2005 | ICTAI | Linear Decision Fusions in Multilayer Perceptrons for Breast Cancer Diagnosis. | Yunfeng Wu, Jinming Zhang, Cong Wang, Sin Chun Ng |
| 2004 | ICALT | An Interactive Learning Environment for Teaching and Learning of Computer Programming. | Sheung-On Choy, Sin Chun Ng |
| 2004 | IJCNN | Deterministic weight modification algorithm for efficient learning. | Sin Chun Ng, Chi-Chung Cheung, Shu-Hung Leung |
| 2004 | IJCNN | TLS linear prediction with optimum root selection for resolving closely space sinusoids. | Chi Fuk So, Sin Chun Ng, Shu-Hung Leung |
| 2003 | IJCNN | Fast convergence for backpropagation network with magnified gradient function. | Sin Chun Ng, Chi-Chung Cheung, Shu-hung Leung, Andrew Luk |
| 2003 | IJCNN | RLS lattice algorithm using gradient based variable forgetting factor. | Chi Fuk So, Sin Chun Ng, Shu-Hung Leung |
| 2001 | CEC | On solving the local minima problem of adaptive learning by using deterministic weight evolution algorithm. | Sin Chun Ng, S. H. Leung |
| 2000 | CEC | A weight evolution algorithm for finding the global minimum of error function in neural networks. | Sin Chun Ng, S. H. Leung |
| 2000 | IJCNN | A Weight Evolution Algorithm with Deterministic Perturbation. | Sin Chun Ng, Shu Hung Leung, Andrew Luk |
| 1999 | CEC | A variable step size algorithm using evolution strategies for adaptive filtering. | Sin Chun Ng, Chi Yin Chung, Shu-Hung Leung, Andrew Luk |
| 1999 | IJCNN | A hybrid algorithm of weight evolution and generalized back-propagation for finding global minimum. | Sin Chun Ng, Shu-Hung Leung, Andrew Luk |
| 1999 | ISCAS | The generalized back-propagation algorithm with convergence analysis. | Sin Chun Ng, Shu Hung Leung, Andrew Luk |
| 1996 | ICEC | Fast Implementation of Evolutionary Variable Step Size Algorithm. | C. Y. Ching, Sin Chun Ng, Shu Hung Leung |
| 1996 | ICEC | Evolution of Connection Weights Combined with Local Search for Multi-Layered Neural Network. | Sin Chun Ng, Shu Hung Leung, Andrew Luk |
| 1995 | ISCAS | A Variable Step Size Algorithm with Generate-and Evaluate Function. | Chi Yin Chung, Sin Chun Ng, Shu Hung Leung, Andrew Luk |
| 1994 | ICASSP | Fast convergent genetic search for adaptive IIR filtering. | Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk |
| 1994 | ISCAS | A New Variable Step-size Algorithm using Genetic-Type Search. | Shu Hung Leung, Chi Yin Chung, Sin Chun Ng |
| 1994 | ISCAS | An Evolutionary Search Algorithm for Adaptive IIR Equalizer. | Sin Chun Ng, Chi Yin Chung, Shu Hung Leung, Andrew Luk |