2-D Frequency Estimation of Multiple Damped Sinusoids Using Subspace and Projection Separation Approaches. - Longting Huang; Yuntao Wu; Hing-Cheung So; Yanduo Zhang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Multidimensional Sinusoidal Frequency Estimation Using Subspace and Projection Separation Approaches. - Longting Huang; Yuntao Wu; Hing-Cheung So; Yanduo Zhang; Lei Huang 001 (IEEE Trans. Signal Process., 2012)

Low peak-to-average ratio OFDM chirp waveform diversity design. - Wen-Qin Wang; Hing-Cheung So; Longting Huang; Yuan Chen 003 (ICASSP, 2014)

Tensor Completion Based on Structural Information. - Zi-Fa Han; Ruibin Feng; Longting Huang; Yi Xiao 004; Chi-Sing Leung; Hing-Cheung So (ICONIP (2), 2014)

Truncated nuclear norm minimization for tensor completion. - Longting Huang; Hing-Cheung So; Yuan Chen 003; Wen-Qin Wang (SAM, 2014)

Density parameter estimation for additive Cauchy-Gaussian mixture. - Yuan Chen 003; Ercan Engin Kuruoglu; Hing-Cheung So; Longting Huang; Wen-Qin Wang (SSP, 2014)

ℓ1-norm based nonparametric and semiparametric approaches for robust spectral analysis. - Yuan Chen 003; Hing-Cheung So; Longting Huang; Wen-Qin Wang (SSP, 2014)

Underdetermined direction-of-departure and direction-of-arrival estimation in bistatic multiple-input multiple-output radar. - Frankie K. W. Chan; Hing-Cheung So; Lei Huang 001; Longting Huang (Signal Process., 2014)

Approximate Subspace-Based Iterative Adaptive Approach for Fast Two-Dimensional Spectral Estimation. - Weize Sun; Hing-Cheung So; Yuan Chen 003; Longting Huang; Lei Huang 001 (IEEE Trans. Signal Process., 2014)

Parameter estimation and identifiability in bistatic multiple-input multiple-output radar. - Frankie K. W. Chan; Hing-Cheung So; Lei Huang 001; Longting Huang (IEEE Trans. Aerosp. Electron. Syst., 2015)

Tensor Decomposition and PCA Jointed Algorithm for Hyperspectral Image Denoising. - Shushu Meng; Long-Ting Huang; Wen-Qin Wang (IEEE Geosci. Remote. Sens. Lett., 2016)

Target estimation in bistatic MIMO radar via tensor completion. - Long-Ting Huang; André L. F. de Almeida; Hing Cheung So (Signal Process., 2016)

An adaptive parameter estimator for unbalanced three-phase system. - Yuan Chen 003; Long-Ting Huang; Weize Sun; Hing Cheung So (DSP, 2017)

Variance Analysis for Least ℓp-Norm Estimator in Mixture of Generalized Gaussian Noise. - Yuan Chen 003; Long-Ting Huang; Xiao Long Yang; Hing-Cheung So (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Sparse and Truncated Nuclear Norm Based Tensor Completion. - Zi-Fa Han; Chi-Sing Leung; Long-Ting Huang; Hing-Cheung So (Neural Process. Lett., 2017)

Robust Frequency Estimation in Symmetric ( alpha ) -Stable Noise. - Yuan Chen 003; Xiao Long Yang; Long-Ting Huang; Hing-Cheung So (Circuits Syst. Signal Process., 2018)

Iteratively Reweighted Linear Least Squares for Frequency Estimation in Unbalanced Three-phase Power System. - Yuan Chen 003; Weize Sun; Long-Ting Huang; Hing Cheung So (ICASSP, 2019)

Multidimensional Single-Tone Frequency Estimation Based on QR Decomposition. - Hui Cao 004; Long-Ting Huang; Yuntao Wu; Qi Liu 005 (IEEE Access, 2019)

Selective Range Iterative Adaptive Approach for High-Resolution DOA Estimation. - Yuan Chen 003; Long-Ting Huang; Hing-Cheung So (IEEE Access, 2019)

Fast Recovery of Low-Rank and Joint-Sparse Signals in Wireless Body Area Networks. - Yanbin Zhang; Longting Huang; Yangqing Li; Kai Zhang 018; Changchuan Yin (ICCC, 2020)

Unitary root-MUSIC based on tensor mode-R algorithm for multidimensional sinusoidal frequency estimation without pairing parameters. - Chaopu Hu; Yuntao Wu; Longting Huang; Ge Yan (Multidimens. Syst. Signal Process., 2020)

Low-rank and joint-sparse signal recovery using sparse Bayesian learning in a WBAN. - Yanbin Zhang; Long-Ting Huang; Yangqing Li; Kesen He; Kai Zhang 018; Changchuan Yin (Multidimens. Syst. Signal Process., 2021)

Low-Rank and Sparse Matrix Recovery for Hyperspectral Image Reconstruction Using Bayesian Learning. - Yanbin Zhang; Long-Ting Huang; Yangqing Li; Kai Zhang 018; Changchuan Yin (Sensors, 2022)