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An Enzyme‐Activatable Aggregation‐Induced‐Emission Probe: Intraoperative Pathological Fluorescent Diagnosis of Pancreatic Cancer via Specific Cathepsin E

Advanced materials (Weinheim), 2022-01, Vol.34 (3), p.e2107444-n/a

2022

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A Stretchable Electronic Fabric Artificial Skin with Pressure-, Lateral Strain-, and Flexion-Sensitive Properties

Advanced materials (Weinheim), 2016-01, Vol.28 (4), p.722-728

2016

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Highly Efficient Framework for Predicting Interactions Between Proteins

IEEE transactions on cybernetics, 2017-03, Vol.47 (3), p.731-743

2017

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Self‐Assembly of a Monochromophore‐Based Polymer Enables Unprecedented Ratiometric Tracing of Hypoxia

Advanced materials (Weinheim), 2019-01, Vol.31 (3), p.e1805735-n/a

2019

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Dual‐frequency resonant coil design for low‐γ X‐nuclear and proton magnetic resonance imaging at ultrahigh fields

NMR in biomedicine, 2023-08, Vol.36 (8), p.e4930-n/a

2023

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MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association

IEEE transactions on cybernetics, 2023-01, Vol.53 (1), p.67-75

2023

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A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases

Bioinformatics (Oxford, England), 2017-03, Vol.33 (5), p.733-739

2017

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Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions

IEEE/ACM transactions on computational biology and bioinformatics, 2020-05, Vol.17 (3), p.972-980

2020

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Inactivation of three genera of dominant fungal spores in groundwater using chlorine dioxide: Effectiveness, influencing factors, and mechanisms

Water research (Oxford), 2017-11, Vol.125, p.132-140

2017

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An efficient approach based on multi-sources information to predict circRNA–disease associations using deep convolutional neural network

Bioinformatics, 2020-07, Vol.36 (13), p.4038-4046

2020

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Adversarial dense graph convolutional networks for single-cell classification

Bioinformatics (Oxford, England), 2023-02, Vol.39 (2)

2023

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Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks

IEEE/ACM transactions on computational biology and bioinformatics, 2023-03, Vol.20 (2), p.1298-1307

2023

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Pure Organic AIE Nanoscintillator for X-ray Mediated Type I and Type II Photodynamic Therapy

Advanced science, 2023-09, Vol.10 (26), p.e2302395-n/a

2023

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In Situ Thermal Preparation of Polyimide Nanocomposite Films Containing Functionalized Graphene Sheets

ACS applied materials & interfaces, 2010-12, Vol.2 (12), p.3702-3708

2010

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Effects of nitrate on phosphorus release from lake sediments

Water research (Oxford), 2021-04, Vol.194, p.116894, Article 116894

2021

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Constructing prediction models from expression profiles for large scale lncRNA-miRNA interaction profiling

Bioinformatics, 2018-03, Vol.34 (5), p.812-819

2018

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Toward Completely Sampled Extracellular Neural Recording During fMRI

IEEE transactions on medical imaging, 2022-07, Vol.41 (7), p.1735-1746

2022

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Targeting carbon nanotubes based on IGF-1R for photothermal therapy of orthotopic pancreatic cancer guided by optical imaging

Biomaterials, 2019-03, Vol.195, p.13-22

2019

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Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding

IEEE/ACM transactions on computational biology and bioinformatics, 2017-03, Vol.14 (2), p.345-352

2017

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Machine Learning-Enabled High-Resolution Dynamic Deuterium MR Spectroscopic Imaging

IEEE transactions on medical imaging, 2021-12, Vol.40 (12), p.3879-3890

2021

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PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions

IEEE journal of biomedical and health informatics, 2023-01, Vol.27 (1), p.573-582

2023

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Simple Whole-Cell Biodetection and Bioremediation of Heavy Metals Based on an Engineered Lead-Specific Operon

Environmental science & technology, 2014-03, Vol.48 (6), p.3363-3371

2014

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A polycationic antimicrobial and biocompatible hydrogel with microbe membrane suctioning ability

Nature materials, 2011-02, Vol.10 (2), p.149-156

2011

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Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data

Bioinformatics, 2010-11, Vol.26 (21), p.2744-2751

2010

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MISSIM: An Incremental Learning-Based Model With Applications to the Prediction of miRNA-Disease Association

IEEE/ACM transactions on computational biology and bioinformatics, 2021-09, Vol.18 (5), p.1733-1742

2021

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An Enzyme‐Activatable Aggregation‐Induced‐Emission Probe: Intraoperative Pathological Fluorescent Diagnosis of Pancreatic Cancer via Specific Cathepsin E

A Stretchable Electronic Fabric Artificial Skin with Pressure-, Lateral Strain-, and Flexion-Sensitive Properties

Highly Efficient Framework for Predicting Interactions Between Proteins

Self‐Assembly of a Monochromophore‐Based Polymer Enables Unprecedented Ratiometric Tracing of Hypoxia

Dual‐frequency resonant coil design for low‐γ X‐nuclear and proton magnetic resonance imaging at ultrahigh fields

MGRCDA: Metagraph Recommendation Method for Predicting CircRNA-Disease Association

A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases

Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions

Inactivation of three genera of dominant fungal spores in groundwater using chlorine dioxide: Effectiveness, influencing factors, and mechanisms

An efficient approach based on multi-sources information to predict circRNA–disease associations using deep convolutional neural network

Adversarial dense graph convolutional networks for single-cell classification

Predicting Mirna-Disease Associations Based on Neighbor Selection Graph Attention Networks

Pure Organic AIE Nanoscintillator for X-ray Mediated Type I and Type II Photodynamic Therapy

In Situ Thermal Preparation of Polyimide Nanocomposite Films Containing Functionalized Graphene Sheets

Effects of nitrate on phosphorus release from lake sediments

Constructing prediction models from expression profiles for large scale lncRNA-miRNA interaction profiling

Toward Completely Sampled Extracellular Neural Recording During fMRI

Targeting carbon nanotubes based on IGF-1R for photothermal therapy of orthotopic pancreatic cancer guided by optical imaging

Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding

Machine Learning-Enabled High-Resolution Dynamic Deuterium MR Spectroscopic Imaging

PPAEDTI: Personalized Propagation Auto-Encoder Model for Predicting Drug-Target Interactions

Simple Whole-Cell Biodetection and Bioremediation of Heavy Metals Based on an Engineered Lead-Specific Operon

A polycationic antimicrobial and biocompatible hydrogel with microbe membrane suctioning ability

Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data

MISSIM: An Incremental Learning-Based Model With Applications to the Prediction of miRNA-Disease Association

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