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Enping Lin

8PUBLICATIONS

13CO-AUTHORS

Deep learningNonlinear optics and spectroscopySemi- and unsupervised learningMolecular imaging (incl. electron microscopy and neutron diffraction)Characterisation of biological macromolecules

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Publications (8)

Sort by Publication Date:

|Jan 06, 2026

HERO: A Memory-Efficient and Fast Structured Low-Rank Reconstruction Algorithm for Accelerated Hypercomplex NMR.

Ze Fang, Yida Chen, Yao Luo

|Aug 27, 2025

High-confidence reconstruction for Laplace inversion in NMR based on uncertainty-informed deep learning.

Bo Chen, Yuebin Zhang, Lina Wang

|Jul 24, 2024

Two-Dimensional Laplace NMR Reconstruction through Deep Learning Enhancement.

Bo Chen, Ze Fang, Yuebin Zhang

|Jul 27, 2023

High-Quality Reconstruction for Laplace NMR Based on Deep Learning.

Bo Chen, Liubin Wu, Xiaohong Cui

|Dec 29, 2022

A Pure Shift-Based Nuclear Magnetic Resonance Method for In-Phase Three-Dimensional Diffusion-Ordered Spectroscopy.

Haolin Zhan, Mengyou Hao, Enping Lin

|Mar 03, 2022

Adaptable Singlet-Filtered Nuclear Magnetic Resonance Spectroscopy for Chemical and Biological Applications.

Chengda Huang, Yang Peng, Enping Lin

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Frequent Collaborators

8 joint publications

Zhong Chen

7 joint publications

Yuqing Huang

6 joint publications

Yu Yang

3 joint publications

Haolin Zhan

3 joint publications

Bo Chen

1 joint publications

Zhiwei Chen

1 joint publications

Xiaohong Cui

1 joint publications

Lina Wang

1 joint publications

Zhe Zhan

1 joint publications

Xun Guan

Frequent Collaborators

8 joint publications

Zhong Chen

7 joint publications

Yuqing Huang

6 joint publications

Yu Yang

3 joint publications

Haolin Zhan

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