Yuting He

Orcid: 0009-0003-1954-952X

According to our database1, Yuting He authored at least 59 papers between 2015 and 2024.

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Bibliography

2024
Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data.
IEEE Trans. Big Data, December, 2024

Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

STANet: Spatio-Temporal Adaptive Network and Clinical Prior Embedding Learning for 3D+T CMR Segmentation.
IEEE J. Biomed. Health Informatics, February, 2024

Improving few-shot relation extraction through semantics-guided learning.
Neural Networks, January, 2024

A gateway to acquaintance community: Elderly migrants' collective domestication of interest-oriented group chats in China.
New Media Soc., 2024

A semi-cellular Z-type Gate SOI-LDMOS with Improved Gate Control Capability.
Microelectron. J., 2024

Imaging foundation model for universal enhancement of non-ideal measurement CT.
CoRR, 2024

Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions.
CoRR, 2024

Joint Beamforming, Scheduling, Trajectory, and Transmit Power Optimization in UAV-Assisted ISAC Systems for Information Freshness.
IEEE Access, 2024

CNN-Based Blockage Detection and Beamforming Design in Dual-Band Communication Systems.
IEEE Access, 2024

Demo: Myotrainer: Muscle-Aware Motion Analysis and Feedback System for In-Home Resistance Training.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

A Software Bug Fixing Approach Based on Knowledge-Enhanced Large Language Models.
Proceedings of the 24th IEEE International Conference on Software Quality, 2024

Multiple-Error Interceptive Voter Designs for Safety-Critical Applications.
Proceedings of the IEEE International Test Conference in Asia, 2024

Regression Residual Reasoning with Pseudo-labeled Contrastive Learning for Uncovering Multiple Complex Compositional Relations.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
A Flexible Eddy Current TMR Sensor for Monitoring Internal Fatigue Crack.
Sensors, December, 2023

A Highly Robust and Low-Power Flip-Flop Cell With Complete Double-Node-Upset Tolerance for Aerospace Applications.
IEEE Des. Test, August, 2023

Multi-Task Learning for Pulmonary Arterial Hypertension Prognosis Prediction via Memory Drift and Prior Prompt Learning on 3D Chest CT.
IEEE J. Biomed. Health Informatics, April, 2023

Research on person re-identification based on posture guidance and feature alignment.
Multim. Syst., April, 2023

O2M-UDA: Unsupervised dynamic domain adaptation for one-to-multiple medical image segmentation.
Knowl. Based Syst., April, 2023

Aircraft-LBDet: Multi-Task Aircraft Detection with Landmark and Bounding Box Detection.
Remote. Sens., 2023

JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Attention-Capsule Network for Low-Light Image Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2023

FedDBM: Federated Digital Biomarker for Detecting Parkinson's Disease Progress.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Semantic Circle Detection and Circle-Inner Segmentation for Tree-Wise Citrus Summer Shoot Management in Aerial Images.
Proceedings of the IEEE International Conference on Image Processing, 2023

Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scale-Adaptive Tiny Object Detection Enhanced by Across-Scale and Shape-Preserved Semantic Location.
Proceedings of the IEEE International Conference on Acoustics, 2023

Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Production Evaluation of Citrus Fruits based on the YOLOv5 compressed by Knowledge Distillation.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022
MVSGAN: Spatial-Aware Multi-View CMR Fusion for Accurate 3D Left Ventricular Myocardium Segmentation.
IEEE J. Biomed. Health Informatics, 2022

Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.
IEEE J. Biomed. Health Informatics, 2022

Physical-Based Spatial-Spectral Deep Fusion Network for Chlorophyll-a Estimation Using MODIS and Sentinel-2 MSI Data.
Remote. Sens., 2022

Multi-scale error feedback network for low-light image enhancement.
Neural Comput. Appl., 2022

Projection network with Spatio-temporal information: 2D + time DSA to 2D aorta segmentation.
Multim. Tools Appl., 2022

BKC-Net: Bi-Knowledge Contrastive Learning for renal tumor diagnosis on 3D CT images.
Knowl. Based Syst., 2022

RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification.
Knowl. Based Syst., 2022

X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images.
Knowl. Based Syst., 2022

Yield Evaluation of Citrus Fruits based on the YoloV5 compressed by Knowledge Distillation.
CoRR, 2022

Automated segmentation of normal and diseased coronary arteries - The ASOCA challenge.
Comput. Medical Imaging Graph., 2022

FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Contrastive Re-localization and History Distillation in Federated CMR Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Adaptive Tiny Object Detection for Improving Pest Detection.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Dual Guidance Of Optical Flow And Decoupled Attention For Infrared Video Object Detection Network.
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

Efficient and Accurate Feature Extraction Using Local Density Detector.
Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Examinee-Examiner Network: Weakly Supervised Accurate Coronary Lumen Segmentation Using Centerline Constraint.
IEEE Trans. Image Process., 2021

Meta grayscale adaptive network for 3D integrated renal structures segmentation.
Medical Image Anal., 2021

CPNet: Cycle Prototype Network for Weakly-Supervised 3D Renal Compartments Segmentation on CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2021

Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Dense biased networks with deep priori anatomy and hard region adaptation: Semi-supervised learning for fine renal artery segmentation.
Medical Image Anal., 2020

Deep Complementary Joint Model for Complex Scene Registration and Few-Shot Segmentation on Medical Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
A High-Sensitivity Flexible Eddy Current Array Sensor for Crack Monitoring of Welded Structures under Varying Environment.
Sensors, 2018

A computational approach to distinguish somatic vs. germline origin of genomic alterations from deep sequencing of cancer specimens without a matched normal.
PLoS Comput. Biol., 2018

2015
RVD2: an ultra-sensitive variant detection model for low-depth heterogeneous next-generation sequencing data.
Bioinform., 2015


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