Mueller matrix microscope: a quantitative tool to facilitate detections and fibrosis scorings of liver cirrhosis and cancer tissues

Ye Wang, Honghui He, Jintao Chang, +6

Journal of Biomedical Optics

The modified NUTRIC score can be used for nutritional risk assessment as well as prognosis prediction in critically ill COVID-19 patients

Zhang Ping, Zhigang He, Gang Yu, +6

Clinical Nutrition

NutritionNutritional EpidemiologyPrognosisClinical NutritionNutric Score +7

Division of focal plane polarimeter-based 3 × 4 Mueller matrix microscope: a potential tool for quick diagnosis of human carcinoma tissues

Jintao Chang, Honghui He, Ye Wang, +7

Journal of Biomedical Optics

Mueller Matrix MicroscopeEngineeringMicroscopyPathologyBiomedical Engineering +22

Epigenetic Changes are Associated with Programmed Cell Death Induced by Heat Stress in Seedling Leaves of Zea mays

Ping Wang, Lin Zhao, Hanxue Hou, +7

Plant and Cell Physiology

Scalable all-pairs similarity search in metric spaces

Ye Wang, Ahmed Metwally, Srinivasan Parthasarathy

Cluster ComputingMultiple MetricsEngineeringMachine LearningSimilarity Measure +19

Science behind AI: the evolution of trend, mobility, and collaboration

Sha Yuan, Zhou Shao, Xingxing Wei, +5

Scientometrics

EngineeringAutomationHuman-ai InteractionAi IntegrationMultidisciplinary Ai +3

Extrapolation over temporal knowledge graph via hyperbolic embedding

Yan Jia, Mengqi Lin, Ye Wang, +5

CAAI Transactions on Intelligence Technology

Artificial IntelligenceEngineeringMachine LearningTemporal Knowledge GraphSemantic Web +18

Target relational attention-oriented knowledge graph reasoning

Xiaojuan Zhao, Yan Jia, Aiping Li, +3

Neurocomputing

Natural Language ProcessingKnowledge RepresentationEngineeringData ScienceAutomated Reasoning +5

Lightweight Deep Learning Model For Facial Expression Recognition

Laha Ale, Xiaojie Fang, Dajiang Chen, +2

Convolutional Neural NetworkEngineeringMachine LearningDeep Learning ModelsSocial Sciences +15

Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains

Peiyang Li, Ye Wang, Qi Li, +4