Low-Tubal-Rank Tensor Recovery From One-Bit Measurements. - Jingyao Hou; Feng Zhang 023; Yao Wang 003; Jianjun Wang 003 (ICASSP, 2020)

The high-order block RIP for non-convex block-sparse compressed sensing. - Jianwen Huang; Xinling Liu; Jingyao Hou; Jianjun Wang 003 (CoRR, 2020)

Uniqueness Guarantee of Solutions of Tensor Tubal-Rank Minimization Problem. - Feng Zhang 023; Jingyao Hou; Jianjun Wang 003; Wendong Wang 001 (IEEE Signal Process. Lett., 2020)

Tensor restricted isometry property analysis for a large class of random measurement ensembles. - Feng Zhang 023; Wendong Wang 001; Jingyao Hou; Jianjun Wang 003; Jianwen Huang (Sci. China Inf. Sci., 2021)

1-Bit Compressed Sensing via an L1-TV Regularization Method. - Jingyao Hou; Xinling Liu (IEEE Access, 2022)

Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements. - Jingyao Hou; Feng Zhang 023; Haiquan Qiu; Jianjun Wang 003; Yao Wang 003; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Robust Low-Rank Matrix Recovery Fusing Local-Smoothness. - Xinling Liu; Jingyao Hou; Jianjun Wang 003 (IEEE Signal Process. Lett., 2022)

Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness. - Xinling Liu; Jingyao Hou; Jiangjun Peng; Hailin Wang; Deyu Meng; Jianjun Wang 003 (AAAI, 2023)

Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling. - Xinling Liu; Jingyao Hou (J. Appl. Math., 2023)

Tensor Robust Principal Component Analysis From Multilevel Quantized Observations. - Jianjun Wang 003; Jingyao Hou; Yonina C. Eldar (IEEE Trans. Inf. Theory, 2023)

One-bit compressed sensing via total variation minimization method. - Yuxiang Zhong; Chen Xu 007; Bin Zhang; Jingyao Hou; Jianjun Wang 003 (Signal Process., 2023)

Semi-tensor product-based one-bit compressed sensing. - Jingyao Hou; Xinling Liu (EURASIP J. Adv. Signal Process., 2023)

Poisson tensor completion with transformed correlated total variation regularization. - Qingrong Feng; Jingyao Hou; Weichao Kong; Chen Xu 007; Jianjun Wang 003 (Pattern Recognit., 2024)

Tensor recovery from binary measurements fused low-rankness and smoothness. - Jingyao Hou; Xinling Liu; Hailin Wang; Ke Guo (Signal Process., 2024)

Robust hyperspectral image recovery from low-resolution quantized incomplete observations. - Yuhong He; Xinling Liu; Bochuan Zheng; Jingyao Hou; Jianjun Wang (Digit. Signal Process., 2025)

Robust Tensor Completion from Uniformly Dithered One-Bit Observations. - Jingyao Hou; Junren Chen; Michael K. Ng 001 (SIAM J. Imaging Sci., 2025)

Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization. - Xinling Liu; Jiangjun Peng; Jingyao Hou; Yao Wang 003; Jianjun Wang 003 (Signal Process., 2025)

Image denoising via double-weighted correlated total variation regularization. - Zhihao Zhang; Peng Zhang; Xinling Liu; Jingyao Hou; Qingrong Feng; Jianjun Wang 003 (Appl. Intell., 2025)

One-bit distributed compressed sensing with partial gaussian circulant matrices. - Yuke Leng; Jingyao Hou; Xinling Liu; Jianjun Wang 003 (Appl. Intell., 2025)

Accelerating Large-Scale Regularized High-Order Tensor Recovery. - Wenjin Qin; Hailin Wang; Jingyao Hou; Jian-Jun Wang 003 (CoRR, 2025)