Andrew K. Lui

According to our database, Andrew K. Lui authored at least 41 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Functional Objects in Urban Walking Environments and Pedestrian Trajectory Modelling.

Andrew Kwok-Fai Lui, Yin-Hei Chan, Kevin Hung

Sensors, 2023

Looking through the fog of remote Zoom teaching: a case study of at-risk student prediction.

Andrew Kwok-Fai Lui, Sin Chun Ng

Int. J. Mob. Learn. Organisation, 2023

2022

A framework for effectively utilising human grading input in automated short answer grading.

Andrew Kwok-Fai Lui, Sin Chun Ng, Stella Wing-Nga Cheung

Int. J. Mob. Learn. Organisation, 2022

2021

Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit.

Yin-Hei Chan, Andrew Kwok-Fai Lui, Sin Chun Ng

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Predictive Screening of Accident Black Spots based on Deep Neural Models of Road Networks and Facilities: A Case Study based on a District in Hong Kong.

Andrew Kwok-Fai Lui, Yin-Hei Chan, Ka-Ho Lo, Wang-To Cheng, Hang-Tak Cheung

Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings.

Andrew Kwok-Fai Lui, Yin-Hei Chan, Man-Fai Leung

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Leveraging data sampling patterns in data-driven traffic characteristic modeling.

Yin-Hei Chan, Andrew Kwok-Fai Lui

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization.

Man-Fai Leung, Carlos Artemio Coello Coello, Chi-Chung Cheung, Sin Chun Ng, Andrew Kwok-Fai Lui

IEEE Access, 2020

Entropy-based Recognition of Anomalous Answers for Efficient Grading of Short Answers with an Evolutionary Clustering Algorithm.

Andrew Kwok-Fai Lui, Sin Chun Ng, Stella Wing-Nga Cheung

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

Automated generators of examples and problems for studying computer algorithms.

Andrew Kwok-Fai Lui, Maria Hiu Man Poon, Raymond Man Hong Wong

Interact. Technol. Smart Educ., 2019

2018

Accommodating Perturbation of Cluster Memberships in Optimal Trend by Multi-model Evolutionary Clustering.

Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization.

Chun-Wa Leung, Sin Chun Ng, Andrew K. Lui

Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Digital Storytelling Group Assignment for Fostering Sense of Belonging of First-Year Students.

Andrew Kwok-Fai Lui, Maria Hiu Man Poon, Sin Chun Ng

Proceedings of the Blended Learning. Enhancing Learning Success, 2018

2017

Improved activation schema on Automatic Clustering using Differential Evolution algorithm.

Hiu-Hin Tam, Sin Chun Ng, Andrew K. Lui, Man-Fai Leung

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

A new algorithm based on PSO for Multi-Objective Optimization.

Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui

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.

Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A new strategy for finding good local guides in MOPSO.

Man-Fai Leung, Sin Chun Ng, Chi-Chung Cheung, Andrew K. Lui

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.

Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Solving the local minimum and flat-spot problem by modifying wrong outputs for feed-forward neural networks.

Chi-Chung Cheung, Andrew K. Lui, Sean Shensheng Xu

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms.

Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Sean Shensheng Xu

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Addressing the Local Minima Problem by Output Monitoring and Modification Algorithms.

Sin Chun Ng, Chi-Chung Cheung, Andrew Kwok-Fai Lui, Hau-Ting Tse

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.

Chi-Chung Cheung, Sin Chun Ng, Andrew Kwok-Fai Lui

Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Improving the Quickprop algorithm.

Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui

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.

Andrew Kwok-Fai Lui, Ka-Fai Wong, Sin Chun Ng, Ka-Hing Law

Proceedings of the Sixth International Conference on Distributed Smart Cameras, 2012

2011

A fast learning algorithm with Promising Convergence Capability.

Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Facilitating independent learning with Lego Mindstorms robots.

Andrew K. Lui, Sin Chun Ng, Yannie H. Y. Cheung, Prabhat Gurung

Inroads, 2010

Enhanced Two-Phase method in fast learning algorithms.

Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu

Proceedings of the International Joint Conference on Neural Networks, 2010

2008

Leveraging students' programming laboratory work as worked examples.

Andrew K. Lui, Yannie H. Y. Cheung, Siu Cheung Li

ACM SIGCSE Bull., 2008

2007

An evaluation framework of expertise presence in computer conferences.

Andrew K. Lui, Philip M. Tsang, Reggie Kwan, Sin Chun Ng, Yannie H. Y. Cheung, Sheung-On Choy

Br. J. Educ. Technol., 2007

An Evaluation of Automatic Text Categorization in Online Discussion Analysis.

Andrew Kwok-Fai Lui, Siu Cheung Li, Sheung-On Choy

Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

2006

Cognitive perturbation through dynamic modelling: a pedagogical approach to conceptual change in science.

Siu Cheung Li, Nancy Law, Andrew Kwok-Fai Lui

J. Comput. Assist. Learn., 2006

A Study on the Perception of Students towards Educational Weblogs.

Andrew K. Lui, Sheung-On Choy, Yannie H. Y. Cheung, Sandy C. Li

Informatics Educ., 2006

Web Information Retrieval in Collaborative Tagging Systems.

Sheung-On Choy, Andrew K. Lui

Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

2005

An Advanced Organizer for Asynchronous Discussion Forums.

Andrew K. Lui, Reggie Kwan, Sandy C. Li

Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005

2004

Saving weak programming students: applying constructivism in a first programming course.

Andrew K. Lui, Reggie Kwan, Maria Poon, Yannie H. Y. Cheung

ACM SIGCSE Bull., 2004

2001

The Design and Implementation of a Progressive On-demand Image Dissemination System for Very Large Images.

Michael J. Owen, Edward H. S. Lo, Mark W. Grigg, Andrew K. Lui

Proceedings of the 24th Australasian Computer Science Conference (ACSC 2001), 29 January, 2001

2000

Use of UDP for efficient imagery dissemination.

Robert Prandolini, T. Andrew Au, Andrew K. Lui, Michael J. Owen, Mark W. Grigg

Proceedings of the Visual Communications and Image Processing 2000, 2000

Component Based Application Framework for Systems Utilising the Streaming Data Passing Semantic.

Andrew K. Lui, Mark W. Grigg, T. Andrew Au, Michael J. Owen

Proceedings of the TOOLS Pacific 2000: 37th International Conference on Technology of Object-Oriented Languages and Systems, 2000

iFlow (poster session): a data streaming application framework based on a uniform abstraction.

Andrew Kwok-Fai Lui, Mark W. Grigg, Michael J. Owen, T. Andrew Au

Proceedings of the Addendum to the 2000 Proceedings of the Conference on Object-Oriented Programming Systems, 2000

1999

Developing Quality of Service Capabilities for Distributed Imagery Dissemination Services.

Andrew K. Lui, Mark W. Grigg, Michael J. Owen

Proceedings of the Internet Applications, 5th International Computer Science Conference, 1999