Yunxiang Li

Orcid: 0000-0003-0622-4710

According to our database1, Yunxiang Li authored at least 41 papers between 2011 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Zero-Shot Medical Image Translation via Frequency-Guided Diffusion Models.
IEEE Trans. Medical Imaging, March, 2024

Optimal Position Design for Unmanned Aerial Vehicle Relay-Assisted Covert Communication Based on Active Countermeasures.
IEEE Syst. J., March, 2024

LViT: Language Meets Vision Transformer in Medical Image Segmentation.
IEEE Trans. Medical Imaging, January, 2024

Generalized Policy Learning for Smart Grids: FL TRPO Approach.
CoRR, 2024

2023
CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound.
IEEE J. Biomed. Health Informatics, July, 2023

AcrNET: predicting anti-CRISPR with deep learning.
Bioinform., May, 2023

Time Optimal Feedback Control for 3D Navier-Stokes-Voigt Equations.
Symmetry, 2023

CPG-MPC controller for wheel-fin-flipper integrated amphibious robot.
Ind. Robot, 2023

FDDM: Unsupervised Medical Image Translation with a Frequency-Decoupled Diffusion Model.
CoRR, 2023

FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image.
CoRR, 2023

nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance.
CoRR, 2023

Learning from Noisy Labels Generated by Extremely Point Annotations for OCT Fluid Segmentation.
CoRR, 2023

SAMScore: A Semantic Structural Similarity Metric for Image Translation Evaluation.
CoRR, 2023

ChatDoctor: A Medical Chat Model Fine-tuned on LLaMA Model using Medical Domain Knowledge.
CoRR, 2023

Learning Analytics from Spoken Discussion Dialogs in Flipped Classroom.
CoRR, 2023

Real-time liver motion estimation via combined surface imaging and single x-ray imaging using a deep learning-based approach (Surf-X) (Conference Presentation).
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023

2022
AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy.
IEEE J. Biomed. Health Informatics, 2022

Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers.
CoRR, 2022

CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound.
CoRR, 2022

Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping.
CoRR, 2022

The attenuation mechanism and regular of the acoustic wave on propagation path in farmland soil.
Comput. Electron. Agric., 2022

CCN-CL: A content-noise complementary network with contrastive learning for low-dose computed tomography denoising.
Comput. Biol. Medicine, 2022

Part Based Interaction Learning for Group Activity Recognition.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Recurrence-Free Survival Prediction Under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck Cancers.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

SPAC: Scalable Pattern Approximate Counting in Graph Mining.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2022

MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Dispensed Transformer Network for Unsupervised Domain Adaptation.
CoRR, 2021

Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy.
CoRR, 2021

GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020
A cascade network for Detecting COVID-19 using chest x-rays.
CoRR, 2020

2019
Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion.
CoRR, 2019

2018
Two-Dimensional Off-Grid DOA Estimation Using Unfolded Parallel Coprime Array.
IEEE Commun. Lett., 2018

Joint Multiple Group Target Center and Component Tracking Using Random Finite Set.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

Joint Multi-Sensor Calibration and Multi-Target Tracking Based on Hierarchical Point Processes.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2016
Posterior Cramer-Rao lower bounds for complicated multi-target tracking with labeled FISST based filters.
Signal Process., 2016

2015
Identification and tracking of towed decoy and aircraft using multiple-model improved labeled P-PHD filter.
Digit. Signal Process., 2015

Reducing the waveform autocorrelation and cross correlation for MIMO radar with multiple pulse train coding.
Proceedings of the 9th International Conference on Signal Processing and Communication Systems, 2015

Modified labeled particle probability hypothesis density filter for joint multi-target tracking and classification.
Proceedings of the 9th International Conference on Signal Processing and Communication Systems, 2015

2013
A new multiple extended target tracking algorithm using PHD filter.
Signal Process., 2013

2011
A case study of learning writing in service-learning through CMC.
Proceedings of the Third International Conference on Digital Image Processing, 2011


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