Sheng-Uei Guan

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 15

Top Topics

Top Venues

Int. J. Appl. Evol. Comput.

Publications

Qiao Yuan, Sheng-Uei Guan, Pin Ni, Tianlun Luo, Ka Lok Man, Prudence W. H. Wong, Victor Chang
Continual Graph Learning: A Survey. CoRR (2023)
Liye Jia, Cong Zhou, Ka Lok Man, Sheng-Uei Guan, Jeremy Smith, Yutao Yue
The Cause of Causal Emergence: Redistribution of Uncertainty. CoRR (2022)
Yuxuan Zhao, Ka Lok Man, Jeremy Smith, Sheng-Uei Guan
A novel two-stream structure for video anomaly detection in smart city management. J. Supercomput. 78 (3) (2022)
Xianbin Hong, Sheng-Uei Guan, Prudence W. H. Wong, Nian Xue, Ka Lok Man, Dawei Liu
Can AI Teach Humans? Humans AI Collaboration for Lifelong Machine Learning. DSIT (2021)
Xianbin Hong, Sheng-Uei Guan, Prudence W. H. Wong, Nian Xue, Ka Lok Man, Dawei Liu, Zhen Li
Lifelong Machine Learning-Based Quality Analysis for Product Review. AISS (2021)
Yuxuan Zhao, Ka Lok Man, Jeremy S. Smith, Kamran Siddique, Sheng-Uei Guan
Improved two-stream model for human action recognition. EURASIP J. Image Video Process. 2020 (1) (2020)
Xianbin Hong, Sheng-Uei Guan, Ka Lok Man, Prudence W. H. Wong
Lifelong Machine Learning Architecture for Classification. Symmetry 12 (5) (2020)
Xianbin Hong, Gautam Pal, Sheng-Uei Guan, Prudence W. H. Wong, Dawei Liu, Ka Lok Man, Xin Huang
Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying. CoRR (2019)
Chutisant Kerdvibulvech, Sheng-Uei Guan
Affective Computing for Enhancing Affective Touch-Based Communication Through Extended Reality. ICCSA (2) (2019)
Xianbin Hong, Gautam Pal, Sheng-Uei Guan, Prudence W. H. Wong, Dawei Liu, Ka Lok Man, Xin Huang
Semi-Unsupervised Lifelong Learning for Sentiment Classification: Less Manual Data Annotation and More Self-Studying. HPCCT/BDAI (2019)
Xianbin Hong, Prudence W. H. Wong, Dawei Liu, Sheng-Uei Guan, Ka Lok Man, Xin Huang
Lifelong Machine Learning: Outlook and Direction. ICBDR (2018)
Jieming Ma, Aiyan Zhen, Sheng-Uei Guan, Chun Liu, Xin Huang
Predicting Seminal Quality Using Back-Propagation Neural Networks with Optimal Feature Subsets. BICS (2018)
David Olalekan Afolabi, Sheng-Uei Guan, Ka Lok Man, Prudence W. H. Wong, Xuan Zhao
Hierarchical Meta-Learning in Time Series Forecasting for Improved Interference-Less Machine Learning. Symmetry 9 (11) (2017)
Yixin Su, Sheng-Uei Guan
Density and Distance Based KNN Approach to Classification. Int. J. Appl. Evol. Comput. 7 (2) (2016)
Ting Wang, Wei Zhou, Xiaoyan Zhu, Fangzhou Liu, Sheng-Uei Guan
Integrated feature preprocessing for classification based on neural incremental attribute learning. FUSION (2016)
Ting Wang, Xiaoyan Zhu, Sheng-Uei Guan, Ka Lok Man, T. O. Ting
Regression based on neural incremental attribute learning with correlation-based feature ordering. RAM/CIS (2015)
Ting Wang, Sheng-Uei Guan, Ka Lok Man, Jong Hyuk Park, Hui-Huang Hsu
Output Effect Evaluation Based on Input Features in Neural Incremental Attribute Learning for Better Classification Performance. Symmetry 7 (1) (2015)
Fangzhou Liu, Ting Wang, Sheng-Uei Guan, Ka Lok Man
Neural Incremental Attribute Learning in Groups. Int. J. Comput. Intell. Syst. 8 (3) (2015)
Ting Wang, Sheng-Uei Guan, Jieming Ma, Fangzhou Liu
Linear Feature Sensibility for Output Partitioning in Ordered Neural Incremental Attribute Learning. IScIDE (2) (2015)
Jinghao Song, Sheng-Uei Guan, Binge Zheng
Incremental Hyper-Sphere Partitioning for Classification. Int. J. Appl. Evol. Comput. 5 (2) (2014)
Ting Wang, Sheng-Uei Guan, Sadasivan Puthusserypady, Prudence W. H. Wong
Statistical Discriminability Estimation for Pattern Classification Based on Neural Incremental Attribute Learning. Int. J. Appl. Evol. Comput. 5 (2) (2014)
Ting Wang, Sheng-Uei Guan, Ka Lok Man, T. O. Ting, Alexei Lisitsa
Optimized Neural Incremental Attribute Learning for Classification Based on Statistical discriminability. Int. J. Comput. Intell. Appl. 13 (4) (2014)
Binge Zheng, Sheng-Uei Guan, Jinghao Song
A PSO Based Incremental Hyper-Sphere Partitioning Approach to Classification. Int. J. Appl. Evol. Comput. 5 (2) (2014)
Tao Yang, Sheng-Uei Guan, Jinghao Song, Binge Zheng, Mengying Cao, Tianlin Yu
Incremental Hyperplane Partitioning for Classification. Int. J. Appl. Evol. Comput. 4 (2) (2013)
Jieming Ma, Ka Lok Man, T. O. Ting, Nan Zhang, Sheng-Uei Guan, Prudence W. H. Wong
DEM: Direct Estimation Method for Photovoltaic Maximum Power Point Tracking. ITQM (2013)
Wei Bai, Emmanuel M. Tadjouddine, Terry R. Payne, Sheng-Uei Guan
A Proof-Carrying Code Approach to Certificate Auction Mechanisms. FACS (2013)
Shujuan Guo, Sheng-Uei Guan, Weifan Li, Ka Lok Man, Fei Liu, A. Kai Qin
Input Space Partitioning for Neural Network Learning. Int. J. Appl. Evol. Comput. 4 (2) (2013)
Jieming Ma, T. O. Ting, Ka Lok Man, Nan Zhang, Sheng-Uei Guan, Prudence W. H. Wong
Parameter Estimation of Photovoltaic Models via Cuckoo Search. J. Appl. Math. 2013 (2013)
Sibo Yang, T. O. Ting, Ka Lok Man, Sheng-Uei Guan
Investigation of Neural Networks for Function Approximation. ITQM (2013)
T. O. Ting, Ka Lok Man, Sheng-Uei Guan, J. K. Seon, Taikyeong T. Jeong, Prudence W. H. Wong
Maximum Power Point Tracking (MPPT) via Weightless Swarm Algorithm (WSA) on cloudy days. APCCAS (2012)
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
A reconfigurable component model with semantic type system for dynamic WSN applications. J. Internet Serv. Appl. 3 (3) (2012)
Ting Wang, Sheng-Uei Guan, T. O. Ting, Ka Lok Man, Fei Liu
Evolving Linear Discriminant in a Continuously Growing Dimensional Space for Incremental Attribute Learning. NPC (2012)
Jieming Ma, Ka Lok Man, T. O. Ting, Hyunshin Lee, Taikyeong Jeong, Jong-Kug Sean, Sheng-Uei Guan, Prudence W. H. Wong
Insight of Direct Search Methods and Module-Integrated Algorithms for Maximum Power Point Tracking (MPPT) of Stand-Alone Photovoltaic Systems. NPC (2012)
Wei Bai, Shi Cheng, Emmanuel M. Tadjouddine, Sheng-Uei Guan
Incremental attribute based particle swarm optimization. ICNC (2012)
T. O. Ting, Ka Lok Man, Sheng-Uei Guan, Mohamed Nayel, Kaiyu Wan
Weightless Swarm Algorithm (WSA) for Dynamic Optimization Problems. NPC (2012)
Ting Wang, Sheng-Uei Guan, Fei Liu
Entropic Feature Discrimination Ability for Pattern Classification Based on Neural IAL. ISNN (2) (2012)
Haofan Zhang, Lei Fang, Sheng-Uei Guan
Recursive and Incremental Learning GA Featuring Problem-Dependent Rule-Set. ICIC (3) (2011)
Lei Fang, Sheng-Uei Guan, Haofan Zhang
Recursive Learning of Genetic Algorithms with Task Decomposition and Varied Rule Set. Int. J. Appl. Evol. Comput. 2 (4) (2011)
Danny Hughes, Jo Ueyama, Eduardo M. Mendiondo, Nelson Matthys, Wouter Horré, Sam Michiels, Christophe Huygens, Wouter Joosen, Ka Lok Man, Sheng-Uei Guan
A middleware platform to support river monitoring using wireless sensor networks. J. Braz. Comput. Soc. 17 (2) (2011)
Ka Lok Man, Jieming Ma, Taikyeong T. Jeong, Chi-Un Lei, Yanyan Wu, Sheng-Uei Guan, J. K. Seon, Yunsik Lee
Design, analysis, tools and applications for programmable high-speed and power-aware 4G processors. ISOCC (2011)
Jie Xie, Fei Liu, Sheng-Uei Guan
Tree-structure Based Ontology Integration. J. Inf. Sci. 37 (6) (2011)
Klaas Thoelen, Nelson Matthys, Wouter Horré, Christophe Huygens, Wouter Joosen, Danny Hughes, Lei Fang, Sheng-Uei Guan
Supporting reconfiguration and re-use through self-describing component interfaces. MidSens (2010)
Bailing Zhang, Sheng-Uei Guan
Classified Vector Quantisation and population decoding for pattern recognition. Int. J. Artif. Intell. Soft Comput. 1 (2/3/4) (2009)
Qiang Ni, Jehanzeb Jehanzeb, Yang Zhang, Sheng-Uei Guan
A Minimum Distance guided Genetic Algorithm for Multi-User Detection in a Multi-Carrier CDMA wireless broadband system. BROADNETS (2008)
Ji Hua Ang, Sheng-Uei Guan, Kay Chen Tan, Abdullah Al Mamun
Interference-less neural network training. Neurocomputing 71 (16-18) (2008)
Chunyu Bao, TseNgee Neo, Sheng-Uei Guan
Reduced Pattern Training In Pattern Distributor Networks. J. Res. Pract. Inf. Technol. 39 (4) (2007)
Sheng-Uei Guan, Fangming Zhu
Class decomposition for GA-based classifier agents - a Pitt approach. IEEE Trans. Syst. Man Cybern. Part B 34 (1) (2004)
Sheng-Uei Guan, Shanchun Li
Parallel growing and training of neural networks using output parallelism. IEEE Trans. Neural Networks 13 (3) (2002)
Chek Liang Dominic Boh, Sheng-Uei Guan
Intelligent transport protocol design using genetic algorithm. ICON (2002)
Fangming Zhu, Sheng-Uei Guan
Evolving software agents in e-commerce with GP operators and knowledge exchange. SMC (2001)
Fangming Zhu, Sheng-Uei Guan
Towards evolution of software agents in electronic commerce. CEC (2001)
Chang-Li Lin, Sheng-Uei Guan
The design and architecture of a video library system. IEEE Commun. Mag. 34 (1) (1996)
Yuh-Ming Huang, Sheng-Uei Guan
A refined cut-through buffer management scheme for layered protocol stacks. IEEE Commun. Mag. 32 (3) (1994)
Frank Cheng, Sheng-Uei Guan
Using Work-Flow Software to Support Office Collaboration. PACIS (1993)
Hussein M. Abdel-Wahab, Sheng-Uei Guan, Jay Nievergelt
Shared workspaces for group collaboration: an experiment using Internet and UNIX interprocess communications. IEEE Commun. Mag. 26 (11) (1988)