Jingyao Hou

According to our database, Jingyao Hou authored at least 12 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Semi-tensor product-based one-bit compressed sensing.

Jingyao Hou, Xinling Liu

EURASIP J. Adv. Signal Process., December, 2023

One-bit compressed sensing via total variation minimization method.

Yuxiang Zhong, Chen Xu, Bin Zhang, Jingyao Hou, Jianjun Wang

Signal Process., June, 2023

Tensor Robust Principal Component Analysis From Multilevel Quantized Observations.

Jianjun Wang, Jingyao Hou, Yonina C. Eldar

IEEE Trans. Inf. Theory, 2023

Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling.

Xinling Liu, Jingyao Hou

J. Appl. Math., 2023

Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness.

Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng, Jianjun Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust Low-Rank Matrix Recovery Fusing Local-Smoothness.

Xinling Liu, Jingyao Hou, Jianjun Wang

IEEE Signal Process. Lett., 2022

Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements.

Jingyao Hou, Feng Zhang, Haiquan Qiu, Jianjun Wang, Yao Wang, Deyu Meng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

1-Bit Compressed Sensing via an L1-TV Regularization Method.

Jingyao Hou, Xinling Liu

IEEE Access, 2022

2021

Tensor restricted isometry property analysis for a large class of random measurement ensembles.

Feng Zhang, Wendong Wang, Jingyao Hou, Jianjun Wang, Jianwen Huang

Sci. China Inf. Sci., 2021

2020

Uniqueness Guarantee of Solutions of Tensor Tubal-Rank Minimization Problem.

Feng Zhang, Jingyao Hou, Jianjun Wang, Wendong Wang

IEEE Signal Process. Lett., 2020

The high-order block RIP for non-convex block-sparse compressed sensing.

Jianwen Huang, Xinling Liu, Jingyao Hou, Jianjun Wang

CoRR, 2020

Low-Tubal-Rank Tensor Recovery From One-Bit Measurements.

Jingyao Hou, Feng Zhang, Yao Wang, Jianjun Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020