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Bifunctional MOF heterogeneous catalysts based on the synergy of dual functional sites for efficient conversion of CO2 under mild and co-catalyst free conditions

Journal of materials chemistry. A, Materials for energy and sustainability, 2015-01, Vol.3 (46), p.23136-23142

2015

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Policy-induced cooperative knowledge network, university-industry collaboration and firm innovation: Evidence from the Greater Bay Area

Technological forecasting & social change, 2024-03, Vol.200, p.123143, Article 123143

2024

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Deep learning-based predictive biomarker of pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer

Journal of translational medicine, 2021-08, Vol.19 (1), p.1-348, Article 348

2021

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Few-Shot Object Detection Using Multimodal Sensor Systems of Unmanned Surface Vehicles

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1511

2022

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Moderately supervised learning: definition, framework and generality

The Artificial intelligence review, 2024-02, Vol.57 (2), p.37, Article 37

Yang, Yongquan

2024

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Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels

Knowledge and information systems, 2024-04, Vol.66 (4), p.2561-2573

Yang, Yongquan

2024

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Malnutrition affects cholesterol paradox in coronary artery disease: a 41,229 Chinese cohort study

Lipids in health and disease, 2021-04, Vol.20 (1), p.36-36, Article 36

2021

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Cloud Task Scheduling Based on Proximal Policy Optimization Algorithm for Lowering Energy Consumption of Data Center

KSII Transactions on Internet and Information Systems, 2022, 16(6), , pp.1877-1891

2022

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Cloud Task Scheduling Based on Proximal Policy Optimization Algorithm for Lowering Energy Consumption of Data Center

KSII transactions on Internet and information systems, 2022-06, Vol.16 (6), p.1877-1891

2022

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A Survey on ensemble learning under the era of deep learning

The Artificial intelligence review, 2023-06, Vol.56 (6), p.5545-5589

2023

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Association between Prognostic Nutritional Index and Contrast-Associated Acute Kidney Injury in Patients Complicated with Chronic Kidney Disease and Coronary Artery Disease

Journal of interventional cardiology, 2021-07, Vol.2021, p.1-8

2021

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Hypertension as a Risk Factor for Contrast-Associated Acute Kidney Injury: A Meta-Analysis Including 2,830,338 Patients

Kidney & blood pressure research, 2021-12, Vol.46 (6), p.670-692

2021

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Prognostic value of the prognostic nutritional index for patients with acute myocardial infarction undergoing percutaneous coronary intervention with variable glucose metabolism statuses: a retrospective cohort study

Diabetology and metabolic syndrome, 2023-10, Vol.15 (1), p.1-207, Article 207

2023

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Predicting neoadjuvant chemotherapy benefit using deep learning from stromal histology in breast cancer

NPJ breast cancer, 2022-11, Vol.8 (1), p.124-124, Article 124

2022

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A comparison between two different definitions of contrast-associated acute kidney injury for long-term mortality in patients with diabetes undergoing coronary angiography: a prospective cohort study

BMC cardiovascular disorders, 2020-11, Vol.20 (1), p.485-9, Article 485

2020

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A prediction model of contrast-associated acute kidney injury in patients with hypoalbuminemia undergoing coronary angiography

BMC cardiovascular disorders, 2020-08, Vol.20 (1), p.399-10, Article 399

2020

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FTBME: feature transferring based multi-model ensemble

Multimedia tools and applications, 2020-07, Vol.79 (25-26), p.18767-18799

2020

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Paradoxical Association Between Baseline Apolipoprotein B and Prognosis in Coronary Artery Disease: A 36,460 Chinese Cohort Study

Frontiers in cardiovascular medicine, 2022-01, Vol.9, p.822626-822626

2022

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Baseline Low-Density-Lipoprotein Cholesterol Modifies the Risk of All-Cause Death Associated With Elevated Lipoprotein(a) in Coronary Artery Disease Patients

Frontiers in cardiovascular medicine, 2022-01, Vol.8, p.817442-817442

2022

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Comparison Between Two Definitions of Contrast-Associated Acute Kidney Injury in Patients With Congestive Heart Failure

Frontiers in cardiovascular medicine, 2022-04, Vol.9, p.763656-763656

2022

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Mild Malnutrition Contributes the Greatest to the Poor Prognosis in Coronary Artery Disease With Well-Controlled Low-Density Lipoprotein Cholesterol Levels: A 4,863 Chinese Cohort Study

Frontiers in nutrition (Lausanne), 2021-09, Vol.8, p.725537-725537

2021

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Handling noisy labels via one-step abductive multi-target learning and its application to helicobacter pylori segmentation

Multimedia tools and applications, 2024-01, Vol.83 (24), p.65099-65147

2024

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One-step abductive multi-target learning with diverse noisy samples and its application to tumour segmentation for breast cancer

Expert systems with applications, 2024-10, Vol.251, p.123923, Article 123923

2024

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GEUKE : A geographic entities uniformly explicit knowledge embedding model

Transactions in GIS, 2024-05

2024

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ZoomViT: an observation behavior-based fine-grained recognition scheme

Neural computing & applications, 2024-07, Vol.36 (21), p.12775-12789

2024

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Bifunctional MOF heterogeneous catalysts based on the synergy of dual functional sites for efficient conversion of CO2 under mild and co-catalyst free conditions

Policy-induced cooperative knowledge network, university-industry collaboration and firm innovation: Evidence from the Greater Bay Area

Deep learning-based predictive biomarker of pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer

Few-Shot Object Detection Using Multimodal Sensor Systems of Unmanned Surface Vehicles

Moderately supervised learning: definition, framework and generality

Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels

Malnutrition affects cholesterol paradox in coronary artery disease: a 41,229 Chinese cohort study

Cloud Task Scheduling Based on Proximal Policy Optimization Algorithm for Lowering Energy Consumption of Data Center

Cloud Task Scheduling Based on Proximal Policy Optimization Algorithm for Lowering Energy Consumption of Data Center

A Survey on ensemble learning under the era of deep learning

Association between Prognostic Nutritional Index and Contrast-Associated Acute Kidney Injury in Patients Complicated with Chronic Kidney Disease and Coronary Artery Disease

Hypertension as a Risk Factor for Contrast-Associated Acute Kidney Injury: A Meta-Analysis Including 2,830,338 Patients

Prognostic value of the prognostic nutritional index for patients with acute myocardial infarction undergoing percutaneous coronary intervention with variable glucose metabolism statuses: a retrospective cohort study

Predicting neoadjuvant chemotherapy benefit using deep learning from stromal histology in breast cancer

A comparison between two different definitions of contrast-associated acute kidney injury for long-term mortality in patients with diabetes undergoing coronary angiography: a prospective cohort study

A prediction model of contrast-associated acute kidney injury in patients with hypoalbuminemia undergoing coronary angiography

FTBME: feature transferring based multi-model ensemble

Paradoxical Association Between Baseline Apolipoprotein B and Prognosis in Coronary Artery Disease: A 36,460 Chinese Cohort Study

Baseline Low-Density-Lipoprotein Cholesterol Modifies the Risk of All-Cause Death Associated With Elevated Lipoprotein(a) in Coronary Artery Disease Patients

Comparison Between Two Definitions of Contrast-Associated Acute Kidney Injury in Patients With Congestive Heart Failure

Mild Malnutrition Contributes the Greatest to the Poor Prognosis in Coronary Artery Disease With Well-Controlled Low-Density Lipoprotein Cholesterol Levels: A 4,863 Chinese Cohort Study

Handling noisy labels via one-step abductive multi-target learning and its application to helicobacter pylori segmentation

One-step abductive multi-target learning with diverse noisy samples and its application to tumour segmentation for breast cancer

GEUKE : A geographic entities uniformly explicit knowledge embedding model

ZoomViT: an observation behavior-based fine-grained recognition scheme

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