Sheng Liu

According to our database, Sheng Liu authored at least 12 papers between 2018 and 2026.

Collaborative distances:

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

2026

TenExp: Mixture-of-Experts-Based Tensor Decomposition Structure Search Framework.

Ting-Wei Zhou, Xi-Le Zhao, Sheng Liu, Wei-Hao Wu, Yu-Bang Zheng, Deyu Meng

CoRR, March, 2026

Neural Operator-Grounded Continuous Tensor Function Representation and Its Applications.

Ruoyang Su, Xi-Le Zhao, Sheng Liu, Wei-Hao Wu, Yisi Luo, Michael K. Ng

CoRR, March, 2026

Block Customized Topology Term Decomposition for High-Dimensional Image Reconstruction.

Sheng Liu, Xi-Le Zhao, Yu-Bang Zheng

IEEE Trans. Image Process., 2026

Inconsistent tensor-tensor product for low-rank tensor factorization.

Sheng Liu, Xi-Le Zhao, Qin Jiang

Appl. Math. Lett., 2026

2025

Block Tensor Ring Decomposition: Theory and Application.

Sheng Liu, Xi-Le Zhao, Hao Zhang

IEEE Trans. Signal Process., 2025

Deep fully-connected tensor network decomposition for multi-dimensional signal recovery.

Ruoyang Su, Xi-Le Zhao, Wei-Hao Wu, Sheng Liu, Junhua He

Signal Process., 2025

OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems.

Xiangming Wang, Haijin Zeng, Jiaoyang Chen, Sheng Liu, Yongyong Chen, Guoqing Chao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Tensor Completion Using Bilayer Multimode Low-Rank Prior and Total Variation.

Haijin Zeng, Shaoguang Huang, Yongyong Chen, Sheng Liu, Hiêp Quang Luong, Wilfried Philips

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Learnable Spatial-Spectral Transform-Based Tensor Nuclear Norm for Multi-Dimensional Visual Data Recovery.

Sheng Liu, Jinsong Leng, Xi-Le Zhao, Haijin Zeng, Yao Wang, Jing-Hua Yang

IEEE Trans. Circuits Syst. Video Technol., May, 2024

Revisiting High-Order Tensor Singular Value Decomposition From Basic Element Perspective.

Sheng Liu, Xi-Le Zhao, Jinsong Leng, Ben-Zheng Li, Jing-Hua Yang, Xinyu Chen

IEEE Trans. Signal Process., 2024

2020

Discovering influential factors in variational autoencoders.

Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Deyu Meng, Hongying Meng, Sheng Liu

Pattern Recognit., 2020

2018

Discovering Influential Factors in Variational Autoencoder.

Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng

CoRR, 2018