Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training

no code implementations • 22 Mar 2023 • Xinwei Ou, Zhangxin Chen, Ce Zhu, Yipeng Liu

However, the high computational complexity and storage cost makes deep learning hard to be used on resource-constrained devices, and it is not environmental-friendly with much power cost.

Model Compression Quantization

Tucker-O-Minus Decomposition for Multi-view Tensor Subspace Clustering

no code implementations • 23 Oct 2022 • Yingcong Lu, Yipeng Liu, Zhen Long, Zhangxin Chen, Ce Zhu

To alleviate these problems, we propose a new tensor decomposition called Tucker-O-Minus Decomposition (TOMD) for multi-view clustering.

Clustering Tensor Decomposition

ProLanGO: Protein Function Prediction Using Neural~Machine Translation Based on a Recurrent Neural Network

no code implementations • 19 Oct 2017 • Renzhi Cao, Colton Freitas, Leong Chan, Miao Sun, Haiqing Jiang, Zhangxin Chen

With the development of next generation sequencing techniques, it is fast and cheap to determine protein sequences but relatively slow and expensive to extract useful information from protein sequences because of limitations of traditional biological experimental techniques.

Machine Translation Protein Function Prediction +1