Sheng-Uei Guan

60 papers B 2C 5Misc 1Journal 32Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Class-incremental continual graph learning with adversarial graph condensation.
Neurocomputing
Qiao Yuan, Boxuan Zhu, Sheng-Uei Guan, Ka Lok Man, Prudence W. H. Wong
2026 J jnl
Continual graph learning: A survey.
Pattern Recognit.
Qiao Yuan, Sheng-Uei Guan, Pin Ni, Tianlun Luo, Prudence W. H. Wong, Victor Chang, Ka Lok Man
2025 J jnl
IMCGNN: Information Maximization based Continual Graph Neural Networks for inductive node classification.
Neurocomputing
Qiao Yuan, Sheng-Uei Guan, Tianlun Luo, Ka Lok Man, Eng Gee Lim
2023 J jnl
Continual Graph Learning: A Survey.
CoRR
Qiao Yuan, Sheng-Uei Guan, Pin Ni, Tianlun Luo, Ka Lok Man, Prudence W. H. Wong, Victor Chang
2022 J jnl
A novel two-stream structure for video anomaly detection in smart city management.
J. Supercomput.
Yuxuan Zhao, Ka Lok Man, Jeremy S. Smith, Sheng-Uei Guan
2022 J jnl
The Cause of Causal Emergence: Redistribution of Uncertainty.
CoRR
Liye Jia, Cong Zhou, Ka Lok Man, Sheng-Uei Guan, Jeremy S. Smith, Yutao Yue
2021 — conf
Can AI Teach Humans? Humans AI Collaboration for Lifelong Machine Learning.
DSIT
Xianbin Hong, Sheng-Uei Guan, Prudence W. H. Wong, Nian Xue, Ka Lok Man, Dawei Liu
2021 — conf
Lifelong Machine Learning-Based Quality Analysis for Product Review.
AISS
Xianbin Hong, Sheng-Uei Guan, Prudence W. H. Wong, Nian Xue, Ka Lok Man, Dawei Liu, Zhen Li
2020 J jnl
Improved two-stream model for human action recognition.
EURASIP J. Image Video Process.
Yuxuan Zhao, Ka Lok Man, Jeremy S. Smith, Kamran Siddique, Sheng-Uei Guan
2020 J jnl
Lifelong Machine Learning Architecture for Classification.
Symmetry
Xianbin Hong, Sheng-Uei Guan, Ka Lok Man, Prudence W. H. Wong
2019 — conf
Affective Computing for Enhancing Affective Touch-Based Communication Through Extended Reality.
ICCSA (2)
Chutisant Kerdvibulvech, Sheng-Uei Guan
2019 — conf
Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying.
HPCCT/BDAI
Xianbin Hong, Gautam Pal, Sheng-Uei Guan, Prudence W. H. Wong, Dawei Liu, Ka Lok Man, Xin Huang
2019 J jnl
Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying.
CoRR
Xianbin Hong, Gautam Pal, Sheng-Uei Guan, Prudence W. H. Wong, Dawei Liu, Ka Lok Man, Xin Huang
2018 — conf
Lifelong Machine Learning: Outlook and Direction.
ICBDR
Xianbin Hong, Prudence W. H. Wong, Dawei Liu, Sheng-Uei Guan, Ka Lok Man, Xin Huang
2018 — conf
Predicting Seminal Quality Using Back-Propagation Neural Networks with Optimal Feature Subsets.
BICS
Jieming Ma, Aiyan Zhen, Sheng-Uei Guan, Chun Liu, Xin Huang
2017 J jnl
Hierarchical Meta-Learning in Time Series Forecasting for Improved Interference-Less Machine Learning.
Symmetry
David Olalekan Afolabi, Sheng-Uei Guan, Ka Lok Man, Prudence W. H. Wong, Xuan Zhao
2016 J jnl
Density and Distance Based KNN Approach to Classification.
Int. J. Appl. Evol. Comput.
Yixin Su, Sheng-Uei Guan
2016 C conf
Integrated feature preprocessing for classification based on neural incremental attribute learning.
FUSION
Ting Wang, Wei Zhou, Xiaoyan Zhu, Fangzhou Liu, Sheng-Uei Guan
2015 — conf
Linear Feature Sensibility for Output Partitioning in Ordered Neural Incremental Attribute Learning.
IScIDE (2)
Ting Wang, Sheng-Uei Guan, Jieming Ma, Fangzhou Liu
2015 J jnl
Neural Incremental Attribute Learning in Groups.
Int. J. Comput. Intell. Syst.
Fangzhou Liu, Ting Wang, Sheng-Uei Guan, Ka Lok Man
2015 J jnl
Output Effect Evaluation Based on Input Features in Neural Incremental Attribute Learning for Better Classification Performance.
Symmetry
Ting Wang, Sheng-Uei Guan, Ka Lok Man, Jong Hyuk Park, Hui-Huang Hsu
2015 — conf
Regression based on neural incremental attribute learning with correlation-based feature ordering.
RAM/CIS
Ting Wang, Xiaoyan Zhu, Sheng-Uei Guan, Ka Lok Man, T. O. Ting
2014 J jnl
A PSO Based Incremental Hyper-Sphere Partitioning Approach to Classification.
Int. J. Appl. Evol. Comput.
Binge Zheng, Sheng-Uei Guan, Jinghao Song
2014 J jnl
Incremental Hyper-Sphere Partitioning for Classification.
Int. J. Appl. Evol. Comput.
Jinghao Song, Sheng-Uei Guan, Binge Zheng
2014 J jnl
Optimized Neural Incremental Attribute Learning for Classification Based on Statistical discriminability.
Int. J. Comput. Intell. Appl.
Ting Wang, Sheng-Uei Guan, Ka Lok Man, T. O. Ting, Alexei Lisitsa
2014 J jnl
Statistical Discriminability Estimation for Pattern Classification Based on Neural Incremental Attribute Learning.
Int. J. Appl. Evol. Comput.
Ting Wang, Sheng-Uei Guan, Sadasivan Puthusserypady, Prudence W. H. Wong
2013 — conf
A Proof-Carrying Code Approach to Certificate Auction Mechanisms.
FACS
Wei Bai, Emmanuel M. Tadjouddine, Terry R. Payne, Sheng-Uei Guan
2013 — conf
DEM: Direct Estimation Method for Photovoltaic Maximum Power Point Tracking.
ITQM
Jieming Ma, Ka Lok Man, T. O. Ting, Nan Zhang, Sheng-Uei Guan, Prudence W. H. Wong
2013 J jnl
Incremental Hyperplane Partitioning for Classification.
Int. J. Appl. Evol. Comput.
Tao Yang, Sheng-Uei Guan, Jinghao Song, Binge Zheng, Mengying Cao, Tianlin Yu
2013 J jnl
Input Space Partitioning for Neural Network Learning.
Int. J. Appl. Evol. Comput.
Shujuan Guo, Sheng-Uei Guan, Weifan Li, Ka Lok Man, Fei Liu, A. K. Qin
2013 — conf
Investigation of Neural Networks for Function Approximation.
ITQM
Sibo Yang, T. O. Ting, Ka Lok Man, Sheng-Uei Guan
2013 J jnl
Parameter Estimation of Photovoltaic Models via Cuckoo Search.
J. Appl. Math.
Jieming Ma, T. O. Ting, Ka Lok Man, Nan Zhang, Sheng-Uei Guan, Prudence W. H. Wong
2012 J jnl
A reconfigurable component model with semantic type system for dynamic WSN applications.
J. Internet Serv. Appl.
Klaas Thoelen, Danny Hughes, Nelson Matthys, Lei Fang, Simon Dobson, Yizhou Qiang, Wei Bai, Ka Lok Man, Sheng-Uei Guan, Davy Preuveneers, Sam Michiels, Christophe Huygens, Wouter Joosen
2012 — conf
Entropic Feature Discrimination Ability for Pattern Classification Based on Neural IAL.
ISNN (2)
Ting Wang, Sheng-Uei Guan, Fei Liu
2012 C conf
Evolving Linear Discriminant in a Continuously Growing Dimensional Space for Incremental Attribute Learning.
NPC
Ting Wang, Sheng-Uei Guan, T. O. Ting, Ka Lok Man, Fei Liu
2012 Misc conf
Incremental attribute based particle swarm optimization.
ICNC
Wei Bai, Shi Cheng, Emmanuel M. Tadjouddine, Sheng-Uei Guan
2012 C conf
Insight of Direct Search Methods and Module-Integrated Algorithms for Maximum Power Point Tracking (MPPT) of Stand-Alone Photovoltaic Systems.
NPC
Jieming Ma, Ka Lok Man, T. O. Ting, Hyunshin Lee, Taikyeong Jeong, Jong-Kug Sean, Sheng-Uei Guan, Prudence W. H. Wong
2012 — conf
Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days.
APCCAS
T. O. Ting, Ka Lok Man, Sheng-Uei Guan, J. K. Seon, Taikyeong T. Jeong, Prudence W. H. Wong
2012 C conf
Weightless Swarm Algorithm (WSA) for Dynamic Optimization Problems.
NPC
T. O. Ting, Ka Lok Man, Sheng-Uei Guan, Mohamed Nayel, Kaiyu Wan
2011 J jnl
A middleware platform to support river monitoring using wireless sensor networks.
J. Braz. Comput. Soc.
Danny Hughes, Jo Ueyama, Eduardo M. Mendiondo, Nelson Matthys, Wouter Horré, Sam Michiels, Christophe Huygens, Wouter Joosen, Ka Lok Man, Sheng-Uei Guan
2011 — conf
Design, analysis, tools and applications for programmable high-speed and power-aware 4G processors.
ISOCC
Ka Lok Man, Jieming Ma, Taikyeong T. Jeong, Chi-Un Lei, Yanyan Wu, Sheng-Uei Guan, J. K. Seon, Yunsik Lee
2011 J jnl
Recursive Learning of Genetic Algorithms with Task Decomposition and Varied Rule Set.
Int. J. Appl. Evol. Comput.
Lei Fang, Sheng-Uei Guan, Haofan Zhang
2011 — conf
Recursive and Incremental Learning GA Featuring Problem-Dependent Rule-Set.
ICIC (3)
Haofan Zhang, Lei Fang, Sheng-Uei Guan
2011 J jnl
Tree-structure Based Ontology Integration.
J. Inf. Sci.
Jie Xie, Fei Liu, Sheng-Uei Guan
2010 — conf
Supporting reconfiguration and re-use through self-describing component interfaces.
MidSens
Klaas Thoelen, Nelson Matthys, Wouter Horré, Christophe Huygens, Wouter Joosen, Danny Hughes, Lei Fang, Sheng-Uei Guan
2009 J jnl
Classified Vector Quantisation and population decoding for pattern recognition.
Int. J. Artif. Intell. Soft Comput.
Bailing Zhang, Sheng-Uei Guan
2008 C conf
A Minimum Distance guided Genetic Algorithm for Multi-User Detection in a Multi-Carrier CDMA wireless broadband system.
BROADNETS
Qiang Ni, Jehanzeb Jehanzeb, Yang Zhang, Sheng-Uei Guan
2008 J jnl
Interference-less neural network training.
Neurocomputing
Ji Hua Ang, Sheng-Uei Guan, Kay Chen Tan, Abdullah Al Mamun
2007 — ch.
Protection of Mobile Agent Data.
Encyclopedia of Information Ethics and Security
Sheng-Uei Guan
2007 J jnl
Reduced Pattern Training In Pattern Distributor Networks.
J. Res. Pract. Inf. Technol.
Chunyu Bao, TseNgee Neo, Sheng-Uei Guan
2007 — ch.
Secure Agent Roaming under M-Commerce.
Encyclopedia of Information Ethics and Security
Sheng-Uei Guan
2004 J jnl
Class decomposition for GA-based classifier agents - a Pitt approach.
IEEE Trans. Syst. Man Cybern. Part B
Sheng-Uei Guan, Fangming Zhu
2002 — conf
Intelligent transport protocol design using genetic algorithm.
ICON
Chek Liang Dominic Boh, Sheng-Uei Guan
2002 J jnl
Parallel growing and training of neural networks using output parallelism.
IEEE Trans. Neural Networks
Sheng-Uei Guan, Shanchun Li
2001 B conf
Evolving software agents in e-commerce with GP operators and knowledge exchange.
SMC
Fangming Zhu, Sheng-Uei Guan
2001 B conf
Towards evolution of software agents in electronic commerce.
CEC
Fangming Zhu, Sheng-Uei Guan
1996 J jnl
The design and architecture of a video library system.
IEEE Commun. Mag.
Chang-Li Lin, Sheng-Uei Guan
1994 J jnl
A refined cut-through buffer management scheme for layered protocol stacks.
IEEE Commun. Mag.
Yuh-Ming Huang, Sheng-Uei Guan
1993 — conf
Using Work-Flow Software to Support Office Collaboration.
PACIS
Frank Cheng, Sheng-Uei Guan
1988 J jnl
Shared workspaces for group collaboration: an experiment using Internet and UNIX interprocess communications.
IEEE Commun. Mag.
Hussein M. Abdel-Wahab, Sheng-Uei Guan, Jay Nievergelt