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Unifying Heterogeneous Information in LLM-based Recommendation Systems
会议论文
34TH INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS
作者:
Song Z(宋泽)
;
Chen DH(陈德弘)
;
Shen XY(沈宵伊)
Adobe PDF(949Kb)
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收藏
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浏览/下载:78/2
|
提交时间:2025/03/11
DropNaE: Alleviating irregularity for large-scale graph representation learning
期刊论文
NEURAL NETWORKS, 2025, 卷号: 183
作者:
Liu, Xin
;
Xiong, Xunbin
;
Yan, Mingyu
;
Xue, Runzhen
;
Pan, Shirui
Adobe PDF(1802Kb)
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收藏
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浏览/下载:118/2
|
提交时间:2024/12/27
Adversarial machine learning
Federated learning
Graph algorithms
Knowledge graph
Algorithm on graph representation learning
Efficient large-scale graph representation learning
Graph neural networks
Graph representation
Irregularity
Large-scales
Neural networks trainings
Real-world graphs
Real-world scenario
End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms
期刊论文
NEURAL NETWORKS, 2025
作者:
Jiang CW(江才文)
;
Mianxin Liu
;
Kaicong Sun
;
Dinggang Shen
收藏
|
浏览/下载:42/0
|
提交时间:2025/03/11
Lattice Boltzmann Fluid Solver with Symmetric, Conservative and Equilibrium-Preserving Neural Collision Operator
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2025
作者:
Fu, Xinyi
;
Bai, Kai
;
Wang, Yang
;
Liu, Xiaopei
Adobe PDF(1036Kb)
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收藏
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浏览/下载:358/7
|
提交时间:2024/10/09
lattice Boltzmann method
neural fluid solver
structure-preserving learning
constrained neural network
Overcoming Domain Knowledge Forgetting in Continual Test-Time Adaptation via Siamese Networks
会议论文
INTERNATIONAL CONFERENCE ON ARTIFICIAL NEURAL NETWORKS, Campus of Vytautas Magnus University and Lithuanian University of Health Sciences, Kaunas, Lithuania, September 9 to September 12, 2025
作者:
Zhihong Xu
;
Wenjun Shi
;
Dongchen Zhu
;
Xiaolin Zhang
;
Lei Wang
Adobe PDF(767Kb)
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收藏
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浏览/下载:41/10
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提交时间:2025/04/11
Test-time adaptation
Anti-forgetting
Continual learning.
Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment
期刊论文
NEURAL NETWORKS, 2024, 卷号: 178
作者:
Fei, Manman
;
Shen, Zhenrong
;
Song, Zhiyun
;
Wang, Xin
;
Cao, Maosong
Adobe PDF(3396Kb)
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收藏
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浏览/下载:295/8
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提交时间:2024/06/07
Cells
Classification (of information)
Cytology
Distillation
Feature extraction
Image processing
Network architecture
Automated detection
Cell detection
Cervical lesion cell detection
Cervical lesions
Detection networks
Feature alignment
Images synthesis
Knowledge distillation
Pre-training
Training model
Detail-preserving image warping by enforcing smooth image sampling
期刊论文
NEURAL NETWORKS, 2024, 卷号: 178
作者:
Sha, Qingrui
;
Sun, Kaicong
;
Jiang, Caiwen
;
Xu, Mingze
;
Xue, Zhong
Adobe PDF(4187Kb)
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收藏
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浏览/下载:351/6
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提交时间:2024/07/05
Image enhancement
Image registration
Magnetic resonance imaging
Medical imaging
Signal sampling
Deformable registration
Detail preservation
Detail preserving
Dynamic contrast-enhanced magnetic resonance imaging
Frequency map
Image information
Image warping
Phase dynamics
Sampling frequencies
Sampling frequency map
D2GAN: A Dual-Domain Generative Adversarial Network for High-Quality PET Image Reconstruction
会议论文
2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), Yokohama, Japan, 30 June-5 July 2024
作者:
Adobe PDF(5635Kb)
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收藏
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浏览/下载:176/1
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提交时间:2024/09/18
Diagnosis
Frequency domain analysis
Positron emission tomography
Adversarial networks
Domain learning
Dual domain
Dual-domain learning
Emission tomography
Generative adversarial network
Positron emission
Positron emission tomography
Positron emission tomography reconstruction
Tomography reconstruction
Learn from Noise: Detecting Deepfakes via Regional Noise Consistency
会议论文
2024 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), Yokohama, Japan, 30 June-5 July 2024
作者:
Weiming Bai
;
Yufan Liu
;
Zhipeng Zhang
Adobe PDF(9541Kb)
|
收藏
|
浏览/下载:211/1
|
提交时间:2024/09/18
Contrastive Learning
Face recognition
Consistency learning
Face forgery detection
Forgery detections
Learn+
Learning frameworks
Learning modules
Manipulation techniques
Noise
Regional noise
Security issues
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 卷号: 35, 期号: 6, 页码: 7271-7274
作者:
Tianming Liu
;
Dajiang Zhu
;
Fei Wang
;
Islem Rekik
;
Xia Hu
Adobe PDF(73Kb)
|
收藏
|
浏览/下载:210/1
|
提交时间:2024/06/11
Deep learning
Image analysis
Clinical radiology
Critical issues
Image-analysis
Learning models
Learning technology
Medical image analysis
Methodological contributions
Neural learning
Neural-networks
Technical aspects
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