Shih-Gu Huang

Orcid: 0000-0003-3479-5588

According to our database1, Shih-Gu Huang authored at least 25 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Topological state-space estimation of functional human brain networks.
PLoS Comput. Biol., 2024

2022
Spatio-temporal directed acyclic graph learning with attention mechanisms on brain functional time series and connectivity.
Medical Image Anal., 2022

Dynamic Persistent Homology for Brain Networks via Wasserstein Graph Clustering.
CoRR, 2022

2021
Fast mesh data augmentation via Chebyshev polynomial of spectral filtering.
Neural Networks, 2021

Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering.
Neural Comput. Appl., 2021

2020
Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis.
IEEE Trans. Medical Imaging, 2020

Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering.
CoRR, 2020

Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering.
CoRR, 2020

2019
2-D Laguerre Distributed Approximating Functional: A Circular Low-Pass/Band-Pass Filter.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Fast Polynomial Approximation of Heat Diffusion on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis.
CoRR, 2019

Fast Polynomial Approximation to Heat Diffusion in Manifolds.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Rapid Acceleration of the Permutation Test via Transpositions.
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019

Circular Pearson Correlation Using Cosine Series Expansion.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Statistical Inference on the Number of Cycles in Brain Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Dynamic Functional Connectivity Using Heat Kernel.
Proceedings of the IEEE Data Science Workshop, 2019

2018
Adaptive STFT with Chirp-Modulated Gaussian Window.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Two-dimensional nonseparable discrete linear canonical transform based on CM-CC-CM-CC decomposition.
CoRR, 2017

2016
Fast Discrete Linear Canonical Transform Based on CM-CC-CM Decomposition and FFT.
IEEE Trans. Signal Process., 2016

Commuting operator of offset linear canonical transform and its applications.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Discrete Gyrator Transforms: Computational Algorithms and Applications.
IEEE Trans. Signal Process., 2015

2014
Instantaneous frequency estimation by group delay attractors and instantaneous frequency attractors.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Reversible Joint Hilbert and Linear Canonical Transform Without Distortion.
IEEE Trans. Signal Process., 2013

2012
STFT With Adaptive Window Width Based on the Chirp Rate.
IEEE Trans. Signal Process., 2012

2009
Improvement of active interference cancellation: avoidance technique for OFDM cognitive radio.
IEEE Trans. Wirel. Commun., 2009

2008
Low Complexity Active Interference Cancellation for OFDM Cognitive Radios.
Proceedings of the WCNC 2008, IEEE Wireless Communications & Networking Conference, March 31 2008, 2008


  Loading...