A sharp bound on RIC in generalized orthogonal matching pursuit. - Wengu Chen; Huanmin Ge (CoRR, 2016)

A sharp recovery condition for block sparse signals by block orthogonal multi-matching pursuit. - Wengu Chen; Huanmin Ge (CoRR, 2016)

Recovery of signals by a weighted $ ell_2/ ell_1$ minimization under arbitrary prior support information. - Wengu Chen; Huanmin Ge (CoRR, 2017)

A sharp recovery condition for sparse signals with partial support information via orthogonal matching pursuit. - Huanmin Ge; Wengu Chen (CoRR, 2017)

Recovery of signals by a weighted ℓ2/ℓ1 minimization under arbitrary prior support information. - Huanmin Ge; Wengu Chen (Signal Process., 2018)

The Null Space Property of the Truncated ℓ1-2-Minimization. - Huanmin Ge; Jinming Wen; Wengu Chen (IEEE Signal Process. Lett., 2018)

New Bounds Based on RIP for the Sparse Matrix Recovery via the Weighted ℓ2, 1 Minimization. - Huanmin Ge; Run Cao (IEEE Access, 2019)

An Optimal Recovery Condition for Sparse Signals with Partial Support Information via OMP. - Huanmin Ge; Wengu Chen (Circuits Syst. Signal Process., 2019)

An RIP Condition for Exact Support Recovery With Covariance-Assisted Matching Pursuit. - Huanmin Ge; Libo Wang; Jinming Wen; Jun Xian (IEEE Signal Process. Lett., 2019)

New RIP Bounds for Recovery of Sparse Signals With Partial Support Information via Weighted ${ ell_{p}}$ -Minimization. - Huanmin Ge; Wengu Chen; Michael K. Ng 001 (IEEE Trans. Inf. Theory, 2020)

The Dantzig selector: Recovery of Signal via 𝓁1-α𝓁2 Minimization. - Huanmin Ge; Peng Li (CoRR, 2021)

Signal and Image Reconstruction with Tight Frames via Unconstrained 𝓁1-α𝓁2-Analysis Minimizations. - Peng Li 025; Huanmin Ge; Pengbo Geng (CoRR, 2021)

New Restricted Isometry Property Analysis for ℓ1-ℓ2 Minimization Methods. - Huanmin Ge; Wengu Chen; Michael K. Ng 001 (SIAM J. Imaging Sci., 2021)

On Recovery of Sparse Signals With Prior Support Information via Weighted ℓₚ-Minimization. - Huanmin Ge; Wengu Chen; Michael K. Ng 001 (IEEE Trans. Inf. Theory, 2021)

Orthogonal Least Squares Detector for Generalized Spatial Modulation. - Jinming Wen; Jie Li 039; Huanmin Ge; Zhengchun Zhou; Weiqi Luo 002 (IEEE Trans. Wirel. Commun., 2021)

A general theory for subspace-sparse recovery. - Ningning Li; Wengu Chen; Huanmin Ge (Int. J. Wavelets Multiresolution Inf. Process., 2022)

Stable Image Reconstruction Using Transformed Total Variation Minimization. - Limei Huo; Wengu Chen; Huanmin Ge; Michael K. Ng 001 (SIAM J. Imaging Sci., 2022)

Signal and Image Reconstruction with Tight Frames via Unconstrained ℓ1-αℓ2-Analysis Minimizations. - Peng Li 025; Huanmin Ge; Pengbo Geng (Signal Process., 2023)

RIP Analysis for $ ell _{1}/ ell _{p}$ ($p> 1$) Minimization Method. - Yujia Xie; Xinhua Su; Huanmin Ge (IEEE Signal Process. Lett., 2023)

Low-Rank tensor completion based on nonconvex regularization. - Xinhua Su; Huanmin Ge; Zeting Liu; Yanfei Shen (Signal Process., 2023)

( boldsymbol{L_1- beta L_q} ) Minimization for Signal and Image Recovery. - Limei Huo; Wengu Chen; Huanmin Ge; Michael K. Ng 001 (SIAM J. Imaging Sci., 2023)

Deep image prior and weighted anisotropic-isotropic total variation regularization for solving linear inverse problems. - Yujia Xie; Wengu Chen; Huanmin Ge; Michael K. Ng 001 (Appl. Math. Comput., 2024)

Uniform RIP analysis for the ℓp-ωℓq minimization. - Huanmin Ge; Yujia Xie; Wengu Chen (J. Comput. Appl. Math., 2024)

Classification of exercise fatigue levels by multi-class SVM from ECG and HRV. - Yuru Chen; Huanmin Ge; Xinhua Su; Xinxin Ma (Medical Biol. Eng. Comput., 2024)

Exploring Tensor-Based Optimization for Missing EEG Signal Recovery: A Comparative Study of Optimization Methods Across Different Tensor Decomposition Frameworks. - Yue Zhang; Huanmin Ge; Chencheng Huang; Xinhua Su (IEEE Access, 2025)

Low-rank tensor recovery via jointing the non-convex regularization and deep prior. - Qing Liu; Huanmin Ge; Xinhua Su (Neurocomputing, 2025)

An AI framework for counterattack detection and decision-making evaluation in football. - Jiangyan Yang; Huanmin Ge; Yixiong Cui (J. Big Data, 2025)