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RankTuner: When Design Tool Parameter Tuning Meets Preference Bayesian Optimization
会议论文
IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, DIGEST OF TECHNICAL PAPERS, ICCAD, Newark Liberty International Airport, 1 Hotel Rd, New York, NY, United states, October 27, 2024 - October 31, 2024
作者:
Xu, Peng
;
Zheng, Su
;
Ye, Yuyang
;
Bai, Chen
;
Xu, Siyuan
收藏
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浏览/下载:6/0
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提交时间:2025/05/30
Computer aided logic design
Bayesian optimization
Design tool
Electronic design automation tools
Feature interactions
Machine learning methods
Parameters tuning
Search spaces
Statistical learning methods
Tool parameter
Verylarge-scale integrations (VLSI)
Learnable color space conversion and fusion for stain normalization in pathology images
期刊论文
MEDICAL IMAGE ANALYSIS, 2025, 卷号: 101
作者:
Ke, Jing
;
Zhou, Yijin
;
Shen, Yiqing
;
Guo, Yi
;
Liu, Ning
Adobe PDF(6837Kb)
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浏览/下载:151/2
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提交时间:2025/01/10
Color image processing
Contrastive Learning
Convergence of numerical methods
Digital storage
Image segmentation
Medical imaging
Color space conversion
Color space fusions
Computer-assisted diagnostic systems
Image analyze
Image-analysis
Learnable color space conversion
Normalisation
Normalization methods
Pathology image analyze
Stain normalization
Progressive self-supervised learning: A pre-training method for crowd counting
期刊论文
PATTERN RECOGNITION LETTERS, 2025, 卷号: 188, 页码: 148-154
作者:
Gu, Yao
;
Zheng, Zhe
;
Wu, Yingna
;
Xie, Guangping
;
Ni, Na
Adobe PDF(2000Kb)
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浏览/下载:115/2
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提交时间:2025/02/12
Adversarial machine learning
Contrastive Learning
Federated learning
Crowd counting
Dataset construction
Feature representation
Images classification
Learning methods
Learning process
Modeling performance
Pre-training
Supervised learning approaches
Training methods
IRUM: An Image Representation and Unified Learning Method for Breast Cancer Diagnosis from Multi-View Ultrasound Images
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:
Chen, Haoyuan
;
Li, Yonghao
;
Zhang, Jiadong
;
Xu, Qi
;
Li, Meiyu
收藏
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浏览/下载:275/0
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提交时间:2024/11/29
Contrastive Learning
Lung cancer
Medical imaging
Ultrasonic imaging
Breast Cancer
Breast cancer diagnosis
Breast ultrasound imaging
Clinical settings
Consistency learning
Image representations
Learning methods
Multi-view diagnose
Multi-views
Ultrasound images
LacGCL: Lightweight message masking with linear attention and cross-view interaction graph contrastive learning for recommendation
期刊论文
INFORMATION PROCESSING AND MANAGEMENT, 2025, 卷号: 62, 期号: 1
作者:
Jia, Haohe
;
Hou, Peng
;
Zhou, Yong
;
Zhu, Hongbin
;
Chai, Hongfeng
Adobe PDF(1539Kb)
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收藏
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浏览/下载:348/2
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提交时间:2024/11/08
Adversarial machine learning
Federated learning
Computational costs
Cross-view
Dense matrix
Graph neural networks
Graph structures
High-accuracy
Interaction graphs
Learning methods
Matrix operations
Recommendation accuracy
Rethinking Fetal Brain Atlas Construction: A Deep Learning Perspective
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:
Zhang, Kai
;
Huang, Shijie
;
Zhu, Fangmei
;
Ding, Zhongxiang
;
Chen, Geng
收藏
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浏览/下载:216/0
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提交时间:2024/11/29
Brain
Contrastive Learning
Deep learning
Image registration
Medical imaging
Atlas construction
Brain atlas
Deep learning
Feature space
Fetal brain
Geometric information
Learn+
Learning methods
Learning-based approach
Minimums distance
AugGPT: Leveraging ChatGPT for Text Data Augmentation
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2025, 卷号: PP, 期号: 99
作者:
Dai, Haixing
;
Liu, Zhengliang
;
Liao, Wenxiong
;
Huang, Xiaoke
;
Cao, Yihan
Adobe PDF(1043Kb)
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收藏
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浏览/下载:149/28
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提交时间:2025/03/14
Contrastive Learning - Data assimilation - Spatio-temporal data
Augmentation methods - Data augmentation - Few-shot learning - Language model - Language processing - Large language model - Natural language processing - Natural languages - Sample sizes - Text data
A review of deep-learning-based super-resolution: From methods to applications
期刊论文
PATTERN RECOGNITION, 2025, 卷号: 157
作者:
Su, Hu
;
Li, Ying
;
Xu, Yifan
Adobe PDF(2480Kb)
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收藏
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浏览/下载:353/3
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提交时间:2024/09/06
Deep learning
Degradation model
Image super resolutions
Multiple image
Multiple image super-resolution
Single image super-resolution
Single images
Superresolution
Superresolution methods
Federated Low-Rank Adaptation for Large Language Model Fine-Tuning Over Wireless Networks
会议论文
GLOBECOM 2024 - 2024 IEEE GLOBAL COMMUNICATIONS CONFERENCE, Cape Town, South Africa, 8-12 Dec. 2024
作者:
Zixin Wang
;
Yong Zhou
;
Yuanming Shi
;
Khaled. B. Letaief
收藏
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浏览/下载:54/0
|
提交时间:2025/03/18
Edge computing
Frequency allocation
Integer programming
Learning to rank
Mixed-integer linear programming
Problem oriented languages
Resource allocation
Critical challenges
Device scheduling
Distributed data
Fine tuning
Fine-tuning methods
Global models
Language model
Learning performance
On-line algorithms
Radio resources
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
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浏览/下载:47/2
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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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