Yuting Guo

Orcid: 0000-0002-8919-0888

According to our database1, Yuting Guo authored at least 38 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Deep learning, numerical, and experimental methods to reveal hydrodynamics performance and cavitation development in centrifugal pump.
Expert Syst. Appl., March, 2024

Correction: Automatic Generation of 3D Scene Animation Based on Dynamic Knowledge Graphs and Contextual Encoding.
Int. J. Comput. Vis., January, 2024

Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data.
CoRR, 2024

Leveraging Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature.
CoRR, 2024

Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters.
CoRR, 2024

2023
Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology.
Comput. Biol. Medicine, September, 2023

Few-shot learning for medical text: A review of advances, trends, and opportunities.
J. Biomed. Informatics, August, 2023

A feasibility study of multi-mode intelligent fusion medical data transmission technology of industrial Internet of Things combined with medical Internet of Things.
Internet Things, April, 2023

Complex-Valued U-Net with Capsule Embedded for Semantic Segmentation of PolSAR Image.
Remote. Sens., March, 2023

A computational framework of routine test data for the cost-effective chronic disease prediction.
Briefings Bioinform., March, 2023

Energy-efficient resource allocation and passive beamforming design for multiuser IRS-aided OFDM SWIPT.
Internet Technol. Lett., 2023

Automatic Generation of 3D Scene Animation Based on Dynamic Knowledge Graphs and Contextual Encoding.
Int. J. Comput. Vis., 2023

The Power of Asynchronous SLAM in Multi-User AR over Cellular Networks: A Measurement Study.
Proceedings of the 2023 Workshop on Emerging Multimedia Systems, 2023

Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Classification of Fall Types in Parkinson's Disease from Self-report Data Using Natural Language Processing.
Proceedings of the Artificial Intelligence in Medicine, 2023

2022
Simultaneous Wireless Information and Power Transfer Based on Symbol Allocation for GFDM-NOMA Cooperative Communications.
IEEE Wirel. Commun. Lett., 2022

Automatic Dental Plaque Segmentation Based on Local-to-Global Features Fused Self-Attention Network.
IEEE J. Biomed. Health Informatics, 2022

Energy-Efficient Resource Allocation for Simultaneous Wireless Information and Power Transfer in GFDM Cooperative Communications.
IEEE Netw. Lett., 2022

Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media.
CoRR, 2022

Few-shot learning for medical text: A systematic review.
CoRR, 2022

Natural language model for automatic identification of Intimate Partner Violence reports from Twitter.
Array, 2022

A comparison of few-shot and traditional named entity recognition models for medical text.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

2021
An unsupervised generative adversarial network for single image deraining.
IET Image Process., 2021

Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications.
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

Mining and characterizing long-COVID symptoms from self-reports on Reddit.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Enhancing Cognitive Models of Emotions with Representation Learning.
Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, 2021

2020
Meta Transfer Learning for Adaptive Vehicle Tracking in UAV Videos.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

Low-Shot Learning of Automatic Dental Plaque Segmentation Based on Local-to-Global Feature Fusion.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Cycle-Derain: Enhanced CycleGAN for Single Image Deraining.
Proceedings of the Big Data and Security - Second International Conference, 2020

Emory at WNUT-2020 Task 2: Combining Pretrained Deep Learning Models and Feature Enrichment for Informative Tweet Identification.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019
An Improved Correlation Coefficient of Intuitionistic Fuzzy Sets.
J. Intell. Syst., 2019

Fine-Grained Thyroid Nodule Classification via Multi-Semantic Attention Network.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Detection of Metastatic Lymph Nodules in Gastric Cancer Using Deep Convolutional Neural Networks.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2015
A Hybrid Re-ranking Method for Entity Recognition and Linking in Search Queries.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

2013
A database-assisted spectrum aggregation algorithm in TV White Spaces for Femtocells.
Proceedings of the 16th International Symposium on Wireless Personal Multimedia Communications, 2013

Isolation-based uplink power control for TD-LTE in TV White Space.
Proceedings of the 16th International Symposium on Wireless Personal Multimedia Communications, 2013

2011
Identification of Masses in Digital Mammogram Using an Optimal Set of Features.
Proceedings of the IEEE 10th International Conference on Trust, 2011


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