Ying Xiao
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
Design and Visual Servoing Control of a Hybrid Dual-Segment Flexible Neurosurgical Robot for Intraventricular Biopsy.
CoRR, 2024
2023
Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines.
BMC Medical Informatics Decis. Mak., December, 2023
Expert Syst. Appl., August, 2023
Self-supervised monocular depth estimation based on pseudo-pose guidance and grid regularization.
Appl. Intell., May, 2023
Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer.
Nat. Mac. Intell., April, 2023
J. Comput. Methods Sci. Eng., 2023
Learning EEG synchronization patterns for epileptic seizure prediction using bag-of-wave features.
J. Ambient Intell. Humaniz. Comput., 2023
CoRR, 2023
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software.
CoRR, 2023
Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations.
CoRR, 2023
bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
An Effective Microbial-drug Relation Extraction Model Based on Dual Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Satellite Imagery-Based Identification of High-Risk Areas of Schistosome Intermediate Snail Hosts Spread after Flood.
Remote. Sens., 2022
Three feature streams based on a convolutional neural network for early esophageal cancer identification.
Multim. Tools Appl., 2022
Interpretable machine learning for predicting pathologic complete response in patients treated with chemoradiation therapy for rectal adenocarcinoma.
Frontiers Artif. Intell., 2022
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval.
CoRR, 2022
TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022
Inferring microbe-metabolite interactions by heterogeneous network fusion based on graph convolution network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Text representation model of scientific papers based on fusing multi-viewpoint information and its quality assessment.
Scientometrics, 2021
Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays.
Pattern Recognit., 2021
High-Resolution MRI to Evaluate Benefit of Middle Cerebral Artery Stenosis in Secondary Prevention in Patients with Acute Cerebral Infarction.
J. Medical Imaging Health Informatics, 2021
R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks.
J. Digit. Imaging, 2021
2020
Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis.
IEEE Trans. Biomed. Eng., 2020
Nat. Mach. Intell., 2020
Detection and Analysis of Behavior Trajectory for Sea Cucumbers Based on Deep Learning.
IEEE Access, 2020
Proceedings of the 13th International Congress on Image and Signal Processing, 2020
2019
Clust. Comput., 2019
Looking Forward to Seeing Real Experiences through Photos? It Depends on the Quality of Photos.
Proceedings of the 18th Wuhan International Conference on E-Business, 2019
Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Proceedings of the Intelligence Science and Big Data Engineering, 2018
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018
2017
An Approach to Extract Product Features from Chinese Consumer Reviews and Establish Product Feature Structure Tree.
Int. J. Comput. Linguistics Chin. Lang. Process., 2017
Influence of surface roughness on polarization property in passive millimeter-wave imaging.
IEICE Electron. Express, 2017
Proceedings of the Interspeech 2017, 2017
2015
IEEE Trans. Ind. Electron., 2015
Int. J. Distributed Sens. Networks, 2015
2014
Illumination-robust and Anti-blur Feature Descriptors for Image Matching in Abdomen Reconstruction.
Int. J. Autom. Comput., 2014
2011
A Soft Linen Emulsion Rate Intelligent Control System Based on the Domain Interpolation Algorithm with Self Adjusting.
J. Softw., 2011
2010
J. Comput., 2010
Proceedings of the Third International Symposium on Intelligent Information Technology and Security Informatics, 2010
2003
The Least-Intensity Feasible Solution for Aperture-Based Inverse Planning in Radiation Therapy.
Ann. Oper. Res., 2003
Proceedings of the Genetic and Evolutionary Computation, 2003