Hiu Tung Wong

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 9

Top Topics

Learning Algorithm

Extreme Learning Machines

Radial Basis Function

Top Venues

Publications

Muideen Adegoke, Hiu Tung Wong, Andrew Chi-Sing Leung, John Sum
Two noise tolerant incremental learning algorithms for single layer feed-forward neural networks. J. Ambient Intell. Humaniz. Comput. 14 (12) (2023)
Hiu Tung Wong, Chi-Sing Leung, Sam Kwong
Convergence analysis on the deterministic mini-batch learning algorithm for noise resilient radial basis function networks. Int. J. Mach. Learn. Cybern. 13 (9) (2022)
Hiu Tung Wong, Ho-Chun Leung, Chi-Sing Leung, Eric Wing Ming Wong
Noise/fault aware regularization for incremental learning in extreme learning machines. Neurocomputing 486 (2022)
Hiu Tung Wong, Chi-Sing Leung, Derek Ho
Theoretical analysis and image reconstruction for multi-bit quanta image sensors. Signal Process. 185 (2021)
Muideen Adegoke, Hiu Tung Wong, Chi Sing Leung
A Fault Aware Broad Learning System for Concurrent Network Failure Situations. IEEE Access 9 (2021)
Hao Wang, Zhanglei Shi, Hiu Tung Wong, Chi-Sing Leung, Hing Cheung So, Ruibin Feng
-Norm-Based Centers Selection for Failure Tolerant RBF Networks. IEEE Access 7 (2019)
Hiu Tung Wong, Zhenni Wang, Chi-Sing Leung, John Sum
Explicit Center Selection and Training for Fault Tolerant RBF Networks. ICONIP (2) (2019)
Hiu Tung Wong, Chi-Sing Leung, Sam Kwong
A Generalized I-ELM Algorithm for Handling Node Noise in Single-Hidden Layer Feedforward Networks. ICONIP (1) (2017)
Yik Lam Lui, Hiu Tung Wong, Chi-Sing Leung, Sam Kwong
Noise Resistant Training for Extreme Learning Machine. ISNN (2) (2017)
Nan Guo, Ka Wai Cheung, Hiu Tung Wong, Derek Ho
CMOS Time-Resolved, Contact, and Multispectral Fluorescence Imaging for DNA Molecular Diagnostics. Sensors 14 (11) (2014)