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WOS被引频次降序
A conditional normalizing flow for domain decomposed uncertainty quantification
期刊论文
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2025, 卷号: 465, 页码: 116571
作者:
Adobe PDF(1887Kb)
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收藏
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浏览/下载:244/4
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提交时间:2024/12/17
uncertainty quantification
domain decomposition
deep neural networks
conditional normalizing flows
PDEs
Dental Arch Development of Chinese Adolescents: A Retrospective Cross-Sectional Study
期刊论文
INTERNATIONAL DENTAL JOURNAL, 2025, 卷号: 75, 期号: 3
作者:
Liu, Chao
;
Chen, Jieyi
;
Cui, Mengjuan
;
Wang, Zhengliang
;
Shi, Wentao
Adobe PDF(2073Kb)
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收藏
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浏览/下载:34/1
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提交时间:2025/04/14
Dental arch
Growth and development
Geographical differences
Convolutional Neural networks
Chinese adolescent
TransiT: Transient Transformer for Non-line-of-sight Videography
会议论文
2025 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)
作者:
Ruiqian Li
;
Siyuan Shen
;
Suan Xia
;
Ziheng Wang
;
Xingyue Peng
Adobe PDF(4942Kb)
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浏览/下载:67/4
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提交时间:2025/04/20
Learning systems
Training
Inverse problems
Neural networks
Imaging
Reflection
Kernel
Automated wavefunction identification and performance prediction for interband cascade lasers using neural networks
期刊论文
JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2025, 卷号: 58, 期号: 19
作者:
Wang, Kun
;
Yang, Chen
;
Liu, Ruo-Tao
;
Du, An-Tian
;
Cao, Chun-Fang
Adobe PDF(2250Kb)
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收藏
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浏览/下载:19/1
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提交时间:2025/05/06
wavefunction
interband cascade lasers
neural networks
An invertible neural network approach for unknown dynamical systems with application to uncertainty quantification
期刊论文
INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 2025
作者:
He, Junjie(何俊杰)
;
Liao, Qifeng(廖奇峰)
Adobe PDF(698Kb)
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收藏
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浏览/下载:85/7
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提交时间:2025/03/11
dynamical systems, invertible neural networks, uncertainty quantification, Bayesian estimation
Physically enhanced neural network for lithium-ion battery state of health estimation
期刊论文
JOURNAL OF ENERGY STORAGE, 2025, 卷号: 117
作者:
Zhou, Ziao
;
Jiang, Yuning
;
Wang, Ting
;
Shi, Yuanming
;
Cai, Haibin
Adobe PDF(1958Kb)
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收藏
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浏览/下载:47/1
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提交时间:2025/03/28
Battery Management
Data-driven methods
Energy
Energy crisis
Ion batteries
Lithium ions
Management systems
Neural-networks
Prior-knowledge
State of health
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data
期刊论文
MEDICAL IMAGE ANALYSIS, 2025, 卷号: 102
作者:
Pistos, Michalis
;
Li, Gang
;
Lin, Weili
;
Shen, Dinggang
;
Rekik, Islem
Adobe PDF(5127Kb)
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收藏
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浏览/下载:41/1
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提交时间:2025/04/11
Adversarial machine learning
Contrastive Learning
Graph neural networks
Prediction models
Brain connectivity
Connectomics
Data scarcity
Graph neural networks
Learning frameworks
Longitudinal connectomic dataset
Multi-modal
Multimodal brain graph evolution prediction
Single-baseline
Trajectory prediction
Spin-multiplexed metasurface inverse-design based on a bi-directional deep neural network for terahertz wavefront control
期刊论文
OPTICA, 2025, 卷号: 12, 期号: 4, 页码: 505-517
作者:
Wei, Haoran
;
He, Xiaoyong
;
Cao, Wenhan
收藏
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浏览/下载:23/0
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提交时间:2025/05/09
Circular polarization
Integrated circuit design
Integrated optics
Inverse problems
Laser beams
Light polarization
Spin dynamics
Spin polarization
Structural analysis
Structural dynamics
Thermography (imaging)
Wavefronts
Bi
directional
Channel's capacity
Electromagnetics
Inverse designs
MetaLens
Metasurface
Neural network model
Neural
networks
Tera Hertz
Wave front control
Verification of Bit-Flip Attacks against Quantized Neural Networks
期刊论文
PROCEEDINGS OF THE ACM ON PROGRAMMING LANGUAGES, 2025, 卷号: 9, 期号: OOPSLA1
作者:
Zhang, Yedi
;
Huang, Lei
;
Gao, Pengfei
;
Song, Fu
;
Sun, Jun
收藏
|
浏览/下载:4/0
|
提交时间:2025/05/30
Formal verification
Bit-flip attack
Bit-flips
Memory systems
Networks security
Neural-networks
Quantisation
Quantized neural network
Reachability analysis
Robustness
Verification framework
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
Adobe PDF(1802Kb)
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收藏
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浏览/下载:123/2
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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
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