Congsheng Li

Orcid: 0000-0002-7658-1943

According to our database1, Congsheng Li authored at least 17 papers between 2019 and 2026.

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Bibliography

2026
Generative AI-Driven Liver Reconstruction for Healthcare Applications in Consumer Electronics With Diffusion Model and Graph Neural Network.
IEEE Trans. Consumer Electron., February, 2026

DeepFake Detection With Multi-View Fusion and Graph Convolutional Network.
IEEE Trans. Multim., 2026

2025
Semi-Supervised Learning With Kolmogorov-Arnold Network for MRI Cardiac Segmentation.
IEEE Trans. Instrum. Meas., 2025

A Heart Rate Measurement Model Based on Koopman Predictors With FMCW Radar.
IEEE Trans. Instrum. Meas., 2025

2024
A Deep Learning Framework for Evaluating the Over-the-Air Performance of the Antenna in Mobile Terminals.
Sensors, September, 2024

Robust Gaze Point Estimation for Metaverse With Common Mode Features Suppression Network.
IEEE Trans. Consumer Electron., February, 2024

Spatially Averaged Epithelial/Absorbed Power Density for Nonplanar Skin Models Exposed to Antenna at 10-90 GHz.
IEEE Access, 2024

Effect of the Conductivity Variations on Computed Electric Field Induced in Learning-Based Models.
IEEE Access, 2024

Research on Impact of AIGC on the Development of Artificial Intelligence Education - Watermark Generation as Case Study.
Proceedings of the 2024 7th International Conference on Big Data and Education, 2024

2023
Dynamic Gesture Recognition Based on FMCW Millimeter Wave Radar: Review of Methodologies and Results.
Sensors, September, 2023

A Lightweight and Robust Framework for Circulating Genetically Abnormal Cells (CACs) Identification Using 4-Color Fluorescence In Situ Hybridization (FISH) Image and Deep Refined Learning.
J. Digit. Imaging, August, 2023

Intercomparison of the Averaged Induced Electric Field in Learning-Based Human Head Models Exposed to Low-Frequency Magnetic Fields.
IEEE Access, 2023

CMFS-Net: Common Mode Features Suppression Network for Gaze Estimation.
Proceedings of the 2023 Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering, 2023

2020
DCSegNet: Deep Learning Framework Based on Divide-and-Conquer Method for Liver Segmentation.
IEEE Access, 2020

2019
Landmark-based multi-region ensemble convolutional neural networks for bone age assessment.
Int. J. Imaging Syst. Technol., 2019

Cover Image.
Int. J. Imaging Syst. Technol., 2019

Numerical evaluation of human exposure to 3.5-GHz electromagnetic field by considering the 3GPP-like channel features.
Ann. des Télécommunications, 2019


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