Low Complexity Active Interference Cancellation for OFDM Cognitive Radios. - Shih-Gu Huang; Chien-Hwa Hwang (WCNC, 2008)

Improvement of active interference cancellation: avoidance technique for OFDM cognitive radio. - Shih-Gu Huang; Chien-Hwa Hwang (IEEE Trans. Wirel. Commun., 2009)

STFT With Adaptive Window Width Based on the Chirp Rate. - Soo-Chang Pei; Shih-Gu Huang (IEEE Trans. Signal Process., 2012)

Reversible Joint Hilbert and Linear Canonical Transform Without Distortion. - Soo-Chang Pei; Shih-Gu Huang (IEEE Trans. Signal Process., 2013)

Instantaneous frequency estimation by group delay attractors and instantaneous frequency attractors. - Soo-Chang Pei; Shih-Gu Huang (EUSIPCO, 2014)

Discrete Gyrator Transforms: Computational Algorithms and Applications. - Soo-Chang Pei; Shih-Gu Huang; Jian-Jiun Ding (IEEE Trans. Signal Process., 2015)

Commuting operator of offset linear canonical transform and its applications. - Soo-Chang Pei; Shih-Gu Huang (ICASSP, 2016)

Fast Discrete Linear Canonical Transform Based on CM-CC-CM Decomposition and FFT. - Soo-Chang Pei; Shih-Gu Huang (IEEE Trans. Signal Process., 2016)

Two-dimensional nonseparable discrete linear canonical transform based on CM-CC-CM-CC decomposition. - Soo-Chang Pei; Shih-Gu Huang (CoRR, 2017)

Adaptive STFT with Chirp-Modulated Gaussian Window. - Soo-Chang Pei; Shih-Gu Huang (ICASSP, 2018)

Dynamic Functional Connectivity Using Heat Kernel. - Shih-Gu Huang; Moo K. Chung; Ian C. Carroll; H. Hill Goldsmith (DSW, 2019)

Statistical Inference on the Number of Cycles in Brain Networks. - Moo K. Chung; Shih-Gu Huang; Andrey Gritsenko; Li Shen 001; Hyekyoung Lee (ISBI, 2019)

Circular Pearson Correlation Using Cosine Series Expansion. - Shih-Gu Huang; Andrey Gritsenko; Martin A. Lindquist; Moo K. Chung (ISBI, 2019)

Rapid Acceleration of the Permutation Test via Transpositions. - Moo K. Chung; Linhui Xie; Shih-Gu Huang; Yixian Wang; Jingwen Yan; Li Shen 001 (CNI@MICCAI, 2019)

Fast Polynomial Approximation to Heat Diffusion in Manifolds. - Shih-Gu Huang; Ilwoo Lyu; Anqi Qiu; Moo K. Chung (MICCAI (4), 2019)

Fast Polynomial Approximation of Heat Diffusion on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis. - Shih-Gu Huang; Ilwoo Lyu; Anqi Qiu; Moo K. Chung (CoRR, 2019)

2-D Laguerre Distributed Approximating Functional: A Circular Low-Pass/Band-Pass Filter. - Soo-Chang Pei; Shih-Gu Huang (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering. - Shih-Gu Huang; Moo K. Chung; Anqi Qiu (CoRR, 2020)

Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering. - Shih-Gu Huang; Moo K. Chung; Anqi Qiu; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2020)

Fast Polynomial Approximation of Heat Kernel Convolution on Manifolds and Its Application to Brain Sulcal and Gyral Graph Pattern Analysis. - Shih-Gu Huang; Ilwoo Lyu; Anqi Qiu; Moo K. Chung (IEEE Trans. Medical Imaging, 2020)

Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering. - Shih-Gu Huang; Moo K. Chung; Anqi Qiu (Neural Comput. Appl., 2021)

Fast mesh data augmentation via Chebyshev polynomial of spectral filtering. - Shih-Gu Huang; Moo K. Chung; Anqi Qiu; Alzheimer's Disease Neuroimaging Initiative (Neural Networks, 2021)

Dynamic Persistent Homology for Brain Networks via Wasserstein Graph Clustering. - Moo K. Chung; Shih-Gu Huang; Ian C. Carroll; Vince D. Calhoun; H. Hill Goldsmith (CoRR, 2022)

Spatio-temporal directed acyclic graph learning with attention mechanisms on brain functional time series and connectivity. - Shih-Gu Huang; Jing Xia; Liyuan Xu; Anqi Qiu (Medical Image Anal., 2022)

Topological state-space estimation of functional human brain networks. - Moo K. Chung; Shih-Gu Huang; Ian C. Carroll; Vince D. Calhoun; H. Hill Goldsmith (PLoS Comput. Biol., 2024)