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Journal Articles
- 2023
[j11]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)- [j10]Andrew Kwok-Fai Lui, Yin-Hei Chan, Kevin Hung:
Functional Objects in Urban Walking Environments and Pedestrian Trajectory Modelling. Sensors 23(10): 4882 (2023) - 2022
- [j9]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) - 2020
- [j8]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) - 2019
- [j7]Andrew Kwok-Fai Lui, Maria Hiu Man Poon, Raymond Man Hong Wong:
Automated generators of examples and problems for studying computer algorithms. Interact. Technol. Smart Educ. 16(3): 204-218 (2019) - 2010
- [j6]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) - 2008
- [j5]Andrew K. Lui, Yannie H. Y. Cheung, Siu Cheung Li:
Leveraging students' programming laboratory work as worked examples. ACM SIGCSE Bull. 40(2): 69-73 (2008) - 2007
- [j4]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) - 2006
- [j3]Andrew K. Lui, Sheung-On Choy, Yannie H. Y. Cheung, Sandy C. Li:
A Study on the Perception of Students towards Educational Weblogs. Informatics Educ. 5(2): 245-266 (2006) - [j2]Siu Cheung Li, Nancy Law, Andrew Kwok-Fai Lui:
Cognitive perturbation through dynamic modelling: a pedagogical approach to conceptual change in science. J. Comput. Assist. Learn. 22(6): 405-422 (2006) - 2004
- [j1]Andrew K. Lui, Reggie Kwan, Maria Poon, Yannie H. Y. Cheung:
Saving weak programming students: applying constructivism in a first programming course. ACM SIGCSE Bull. 36(2): 72-76 (2004)
Conference and Workshop Papers
- 2021
- [c30]Andrew Kwok-Fai Lui, Yin-Hei Chan, Man-Fai Leung:
Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings. IEEE BigData 2021: 1709-1717 - [c29]Yin-Hei Chan, Andrew Kwok-Fai Lui:
Leveraging data sampling patterns in data-driven traffic characteristic modeling. IEEE BigData 2021: 5871-5873 - [c28]Andrew Kwok-Fai Lui, Yin-Hei Chan, Ka-Ho Lo, Wang-To Cheng, Hang-Tak Cheung:
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. CSAI 2021: 422-428 - [c27]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
- [c26]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 - 2018
- [c25]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 - [c24]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 - [c23]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
- [c22]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
- [c21]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 - 2015
- [c20]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
- [c19]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 - [c18]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
- [c17]Chi-Chung Cheung, Andrew K. Lui, Sean Shensheng Xu:
Solving the local minimum and flat-spot problem by modifying wrong outputs for feed-forward neural networks. IJCNN 2013: 1-7 - [c16]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
- [c15]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 - [c14]Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui:
Improving the Quickprop algorithm. IJCNN 2012: 1-6 - [c13]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 - [c12]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 - [c11]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
- [c10]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
- [c9]Chi-Chung Cheung, Sin Chun Ng, Andrew K. Lui, Sean Shensheng Xu:
Enhanced Two-Phase method in fast learning algorithms. IJCNN 2010: 1-7 - 2007
- [c8]Andrew Kwok-Fai Lui, Siu Cheung Li, Sheung-On Choy:
An Evaluation of Automatic Text Categorization in Online Discussion Analysis. ICALT 2007: 205-209 - 2006
- [c7]Sheung-On Choy, Andrew K. Lui:
Web Information Retrieval in Collaborative Tagging Systems. Web Intelligence 2006: 352-355 - 2005
- [c6]Andrew K. Lui, Reggie Kwan, Sandy C. Li:
An Advanced Organizer for Asynchronous Discussion Forums. ICALT 2005: 130-132 - 2001
- [c5]Michael J. Owen, Edward H. S. Lo, Mark W. Grigg, Andrew K. Lui:
The Design and Implementation of a Progressive On-demand Image Dissemination System for Very Large Images. ACSC 2001: 148-155 - 2000
- [c4]Andrew Kwok-Fai Lui, Mark W. Grigg, Michael J. Owen, T. Andrew Au:
iFlow (poster session): a data streaming application framework based on a uniform abstraction. OOPSLA Addendum 2000: 65-66 - [c3]Andrew K. Lui, Mark W. Grigg, T. Andrew Au, Michael J. Owen:
Component Based Application Framework for Systems Utilising the Streaming Data Passing Semantic. TOOLS (37) 2000: 328-339 - [c2]Robert Prandolini, T. Andrew Au, Andrew K. Lui, Michael J. Owen, Mark W. Grigg:
Use of UDP for efficient imagery dissemination. VCIP 2000: 316-327 - 1999
- [c1]Andrew K. Lui, Mark W. Grigg, Michael J. Owen:
Developing Quality of Service Capabilities for Distributed Imagery Dissemination Services. ICSC 1999: 274-283
Coauthor Index
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