qibinzhao.github.io - Welcome to the Tensor Learning Team - Tensor Learning Team

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Description: We study various tensor-based machine learning technologies, e.g., tensor decomposition, multilinear latent variable model, tensor regression and classification, tensor networks, deep tensor learning, and Bayesian tensor learning, with aim to facilitate the learning from high-order structured data or large-scale latent space. Our goal is to develop innovative, scalable and efficient tensor learning algorithms supported by theoretical principles. The novel applications in computer vision and brain data analy

Example domain paragraphs

We study various tensor-based machine learning technologies, e.g., tensor decomposition, multilinear latent variable model, tensor regression and classification, tensor networks, deep tensor learning, and Bayesian tensor learning, with aim to facilitate the learning from high-order structured data or large-scale latent space. Our goal is to develop innovative, scalable and efficient tensor learning algorithms supported by theoretical principles. The novel applications in computer vision and brain data analy

【New】 02/14/2023 Our team is seeking a Research Scientist, Postdoctoral Researcher or Special Postdoctoral Researcher (SPDR) .

Full publication list

Links to qibinzhao.github.io (3)

• yubangzheng.github.io Yu-Bang Zheng (郑玉棒) | SWJTU - Homepage
• jielin96.github.io Jie Lin（林杰） | Jie Lin
• pnickl.github.io Peter Nickl