CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis

no code implementations • 12 Sep 2023 • Di Guo, Sijin Li, Jun Liu, Zhangren Tu, Tianyu Qiu, Jingjing Xu, Liubin Feng, Donghai Lin, Qing Hong, Meijin Lin, Yanqin Lin, Xiaobo Qu

Particularly, the emerging deep learning tools is hard to be widely used in NMR due to the sophisticated setup of computation.

Cloud Computing

Resolution enhancement of NMR by decoupling with low-rank Hankel model

no code implementations • 2 Dec 2022 • Tianyu Qiu, Amir Jahangiri, Xiao Han, Dmitry Lesovoy, Tatiana Agback, Peter Agback, Adnane Achour, Xiaobo Qu, Vladislav Orekhov

Nuclear magnetic resonance (NMR) spectroscopy has become a formidable tool for biochemistry and medicine.

On the Effectiveness of Sampled Softmax Loss for Item Recommendation

no code implementations • 7 Jan 2022 • Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu

In this work, we aim to offer a better understanding of SSM for item recommendation.

Contrastive Learning Recommendation Systems +1

Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In Vivo Data

no code implementations • 26 Jan 2021 • Dicheng Chen, Wanqi Hu, Huiting Liu, Yirong Zhou, Tianyu Qiu, Yihui Huang, Zi Wang, Jiazheng Wang, Liangjie Lin, Zhigang Wu, Hao Chen, Xi Chen, Gen Yan, Di Guo, Jianzhong Lin, Xiaobo Qu

A deep learning model, Refusion Long Short-Term Memory (ReLSTM), was designed to learn the mapping from the low SNR time-domain data (24 SA) to the high SNR one (128 SA).

Denoising

Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning

no code implementations • 9 Apr 2019 • Xiaobo Qu, Yihui Huang, Hengfa Lu, Tianyu Qiu, Di Guo, Tatiana Agback, Vladislav Orekhov, Zhong Chen

Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable tool in chemistry and biology but often suffers from long experimental time.