Developing Quality of Service Capabilities for Distributed Imagery Dissemination Services. - Andrew K. Lui; Mark W. Grigg; Michael J. Owen (ICSC, 1999)

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 (OOPSLA Addendum, 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 (TOOLS (37), 2000)

Use of UDP for efficient imagery dissemination. - Robert Prandolini; T. Andrew Au; Andrew K. Lui; Michael J. Owen; Mark W. Grigg (VCIP, 2000)

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 (ACSC, 2001)

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)

An Advanced Organizer for Asynchronous Discussion Forums. - Andrew K. Lui; Reggie Kwan; Sandy C. Li (ICALT, 2005)

Web Information Retrieval in Collaborative Tagging Systems. - Sheung-On Choy; Andrew K. Lui (Web Intelligence, 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)

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)

An Evaluation of Automatic Text Categorization in Online Discussion Analysis. - Andrew Kwok-Fai Lui; Siu Cheung Li; Sheung-On Choy (ICALT, 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)

Leveraging students' programming laboratory work as worked examples. - Andrew K. Lui; Yannie H. Y. Cheung; Siu Cheung Li (ACM SIGCSE Bull., 2008)

Enhanced Two-Phase method in fast learning algorithms. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2010)

Facilitating independent learning with Lego Mindstorms robots. - Andrew K. Lui; Sin Chun Ng; Yannie H. Y. Cheung; Prabhat Gurung (Inroads, 2010)

A fast learning algorithm with Promising Convergence Capability. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui; Sean Shensheng Xu (IJCNN, 2011)

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 (ICDSC, 2012)

Improving the Quickprop algorithm. - Chi-Chung Cheung; Sin Chun Ng; Andrew K. Lui (IJCNN, 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 (ISNN (1), 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 (ISNN (1), 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 (ISNN (1), 2012)

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 (IJCNN, 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 (IJCNN, 2013)

A new strategy for finding good local guides in MOPSO. - Man-Fai Leung; Sin Chun Ng; Chi-Chung Cheung; Andrew K. Lui (IEEE Congress on Evolutionary Computation, 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 (IJCNN, 2014)

A new algorithm based on PSO for Multi-Objective Optimization. - Man-Fai Leung; Sin Chun Ng; Chi-Chung Cheung; Andrew K. Lui (CEC, 2015)

Improved adaptive global replacement scheme for MOEA/D-AGR. - Hiu-Hin Tam; Man-Fai Leung; Zhenkun Wang 001; Sin Chun Ng; Chi-Chung Cheung; Andrew K. Lui (CEC, 2016)

Improved activation schema on Automatic Clustering using Differential Evolution algorithm. - Hiu-Hin Tam; Sin Chun Ng; Andrew K. Lui; Man-Fai Leung (CEC, 2017)

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 (ICBL, 2018)

Combining Two-Phase Local Search with Multi-objective Ant Colony Optimization. - Chun-Wa Leung; Sin Chun Ng; Andrew K. Lui (ICONIP (2), 2018)

Accommodating Perturbation of Cluster Memberships in Optimal Trend by Multi-model Evolutionary Clustering. - Hiu-Hin Tam; Sin Chun Ng; Andrew K. Lui (SMC, 2018)

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)

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 (SSCI, 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)

Leveraging data sampling patterns in data-driven traffic characteristic modeling. - Yin-Hei Chan; Andrew Kwok-Fai Lui (IEEE BigData, 2021)

Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings. - Andrew Kwok-Fai Lui; Yin-Hei Chan; Man-Fai Leung (IEEE BigData, 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 (CSAI, 2021)

Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit. - Yin-Hei Chan; Andrew Kwok-Fai Lui; Sin Chun Ng (SMC, 2021)

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)

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)

Functional Objects in Urban Walking Environments and Pedestrian Trajectory Modelling. - Andrew Kwok-Fai Lui; Yin-Hei Chan; Kevin Hung (Sensors, 2023)

WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complex. - Ho Chun Wu 001; Esther Hoi Shan Lau; Paul Chun Ho Yuen; Kevin Hung; John Kwok Tai Chui; Andrew Kwok-Fai Lui (IEEE Access, 2024)

WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complex. - Ho Chun Wu 001; Esther Hoi Shan Lau; Paul Yuen; Kevin Hung; John Kwok Tai Chui; Andrew Kwok-Fai Lui (CoRR, 2024)