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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:126/2
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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
Federated Learning-Assisted Predictive Beamforming for Extremely Large-Scale Antenna Array Systems with Rate-Splitting Multiple Access
期刊论文
IEEE JOURNAL ON SELECTED TOPICS IN SIGNAL PROCESSING, 2025, 卷号: 19, 期号: 2, 页码: 461-476
作者:
Zhang, Shengyu
;
Mao, Yijie
;
Chen, Zihan
;
Clerckx, Bruno
;
Quek, Tony Q.S.
Adobe PDF(5895Kb)
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收藏
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浏览/下载:59/1
|
提交时间:2025/02/12
Antenna feeders
Beam forming networks
Channel capacity
Channel coding
Channel estimation
Channel state information
Resource allocation
Time difference of arrival
Antenna array system
Channel state information at the transmitters
Extremely large-scale antenna array
Federated learning
Large-scales
Multiple access
Patch-mixing
Rate splitting
Rate-splitting multiple access
Users' mobility
On the Loading Effects of Port-Impedance for Efficient Characteristic Mode Analysis of Large-Scale Cross-Band Arrays
会议论文
2024 IEEE 12TH ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION (APCAP), Nanjing, China, 22-25 Sept. 2024
作者:
Yi Hui Zhu
;
Feng Han Lin
Adobe PDF(742Kb)
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浏览/下载:65/4
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提交时间:2025/03/03
Antenna grounds
Differentiating circuits
Microstrip antennas
Scales (weighing instruments)
Antennas and arrays
Characteristic modes
Cross bands
Different frequency
Large-scale arrays
Large-scales
Loading effects
Mode analysis
Plane wave illumination
Scattering problems
SPK: Semantic and Positional Knowledge for Zero-Shot Referring Expression Comprehension
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Kolkata, India, December 1, 2024 - December 5, 2024
作者:
Du, Zetao
;
Yang, Jianhua
;
Wang, Junbo
;
Huang, Yan
;
Wang, Liang
Adobe PDF(5305Kb)
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收藏
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浏览/下载:66/1
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提交时间:2025/01/10
Large datasets
Zero-shot learning
Attribute information
Image-based
Large-scales
Multi-modal
Multimodal knowledge
Natural-language expressions
Referring expression comprehension
Referring expressions
Spatial informations
Zero-shot
Silk-Based Self-Unfolding Electrode Array for Minimally-invasive Large-Scale Deep Brain Activity Monitoring
会议论文
2025 IEEE 38TH INTERNATIONAL CONFERENCE ON MICRO ELECTRO MECHANICAL SYSTEMS (MEMS), Kaohsiung, Taiwan, 19-23 Jan. 2025
作者:
Jizhi Liang
;
Songtao Lai
;
Xiner Wang
;
Zhaohan Chen
;
Xiaoling Wei
收藏
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浏览/下载:36/0
|
提交时间:2025/03/25
Brain
Cerebrospinal fluid
Electrophysiology
Neurodegenerative diseases
Neurons
Scaffolds
Scaffolds (biology)
Deep-brain neural interface
Electrode arrays
Large-scales
Microelectrodes arrays
Minimally invasive
Neural interfaces
Parkinsonian sheep model
Sheep model
Silk-enabled self-unfolding
Unfoldings
RefSCAT-2.0: Formal Verification of Large-Scale Optimized Multipliers via Quantum-Inspired Ant Colony Optimization-Based Reference Generation
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2025, 卷号: PP, 期号: 99
作者:
Rui Li
;
Lin Li
;
Heng Yu
;
Masahiro Fujita
;
Weixiong Jiang
Adobe PDF(6472Kb)
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收藏
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浏览/下载:23/1
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提交时间:2025/05/12
High level synthesis
Integer linear programming
Integer programming
Intellectual property core
Linear programming
Multiplying circuits
Multitasking
ACO
Ant colonies
Colony optimization
Generation algorithm
Large-scales
Macro architectures
Micro architectures
Multiplier
Satisfiability
SCA
DHSampling: Diversity-Based Hyperedge Sampling in GNN Learning with Application to Medical Imaging Classification
会议论文
LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), Marrakesh, Morocco, October 6, 2024 - October 6, 2024
作者:
Liu, Jiameng
;
Pala, Furkan
;
Rekik, Islem
;
Shen, Dinggang
Adobe PDF(1654Kb)
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收藏
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浏览/下载:234/3
|
提交时间:2024/11/29
Adversarial machine learning
Contrastive Learning
Graph embeddings
Graph neural networks
Network embeddings
Network theory (graphs)
Clinical data
Diversity-based sampling
Efficient graph neural network learning
Embeddings
Graph neural networks
Hyperedges
Large-scales
Neural network learning
Subgraphs
Topology and embedding diversity
Artificial General Intelligence for Medical Imaging Analysis
期刊论文
IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2025, 卷号: 18, 页码: 113-129
作者:
Xiang Li
;
Lin Zhao
;
Lu Zhang
;
Zihao Wu
;
Zhengliang Liu
Adobe PDF(1339Kb)
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收藏
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浏览/下载:283/53
|
提交时间:2024/11/11
Artificial general intelligences
Foundation models
Imaging analysis
Intelligence models
Language model
Large language model
Large vision model
Large-scales
Medical fields
Vision model
Collecting Large-Scale Robotic Datasets on a High-Speed Mobile Platform
会议论文
2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), Bangkok, Thailand, 10-14 Dec. 2024
作者:
Yuxin Lin
;
Jiaxuan Ma
;
Sizhe Gu
;
Jipeng Kong
;
Bowen Xu
Adobe PDF(2826Kb)
|
收藏
|
浏览/下载:92/5
|
提交时间:2025/03/10
Large datasets
Mobile robots
Sensor nodes
SLAM robotics
Data collection
High performance sensors
High speed mobile
Large-scales
Mapping robots
Maximum speed
Mobile basis
Mobile platform
Mobile robotic
Simultaneous localization and mapping
GSURE-Based Unsupervised Deep Equilibrium Model Learning for Large-Scale Channel Estimation
会议论文
GLOBECOM 2024 - 2024 IEEE GLOBAL COMMUNICATIONS CONFERENCE, Cape Town, South Africa, 8-12 Dec. 2024
作者:
Haotian Tian
;
Lixiang Lian
Adobe PDF(1279Kb)
|
收藏
|
浏览/下载:50/2
|
提交时间:2025/03/18
Adversarial machine learning
Channel estimation
Contrastive Learning
Deep learning
Mean square error
Risk analysis
Risk assessment
Risk perception
Supervised learning
Unsupervised learning
Deep equilibrium model
Equilibrium modelling
Generalized stein unbiased risk estimate
Ground truth
Large-scale channel estimation
Large-scales
Learn+
Learning-based methods
Model learning
Unbiased risk estimates
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