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中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
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浏览/检索结果:
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WGformer: A Weibull-Gaussian Informer based model for wind speed prediction
期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 131, 页码: 20
作者:
Shi, Ziyi
;
Li, Jia
;
Jiang, Zheyuan
;
Li, Huang
;
Yu, Chengqing
;
Mi, Xiwei
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/05/20
Wind speed forecasting
Weibull-Gaussian transform
Informer
Kernel mean square error loss
Deep learning
SASA-Net: A Spatial-Aware Self-Attention Mechanism for Building Protein 3D Structure Directly From Inter- Residue Distances
期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2023, 卷号: 20, 期号: 6, 页码: 3482-3488
作者:
Gong, Tiansu
;
Ju, Fusong
;
Sun, Shiwei
;
Bu, Dongbo
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/05/20
Deep learning
protein structure prediction
Soft Error Reliability Analysis of Vision Transformers
期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 页码: 11
作者:
Xue, Xinghua
;
Liu, Cheng
;
Wang, Ying
;
Yang, Bing
;
Luo, Tao
;
Zhang, Lei
;
Li, Huawei
;
Li, Xiaowei
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/04
ABFT
fault-tolerance
soft errors
vision transformers (ViTs)
vulnerability analysis
DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:
Zhu, Yida
;
Luo, Haiyong
;
Chen, Runze
;
Zhao, Fang
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/04
Convolutional denoising autoencoders (CDAEs)
global-attention mechanism
graph convolutional networks
human activity recognition (HAR)
multisensor modality
self-attention mechanism
GLIM-Net: Chronic Glaucoma Forecast Transformer for Irregularly Sampled Sequential Fundus Images
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 6, 页码: 1875-1884
作者:
Hu, Xiaoyan
;
Zhang, Ling-Xiao
;
Gao, Lin
;
Dai, Weiwei
;
Han, Xiaoguang
;
Lai, Yu-Kun
;
Chen, Yiqiang
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/04
Transformers
Feature extraction
Predictive models
Image segmentation
Deep learning
Biomedical imaging
Task analysis
Glaucoma forecast
transformer
attention mechanism
fundus image
Deep Intra Prediction by Jointly Exploiting Local and Non-Local Similarities
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 5, 页码: 2396-2409
作者:
Lei, Meng
;
Zhang, Jiaqi
;
Wang, Shiqi
;
Wang, Shanshe
;
Ma, Siwei
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/04
Correlation
Predictive models
Deep learning
Video coding
Image reconstruction
Encoding
Convolutional neural networks
Intra prediction
attention mechanism
template matching
non-local operation
Long-Tailed Visual Recognition via Improved Cross-Window Self-Attention and TrivialAugment
期刊论文
IEEE ACCESS, 2023, 卷号: 11, 页码: 49601-49610
作者:
Song, Ying
;
Li, Mengxing
;
Wang, Bo
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/04
Convolutional neural networks
Continuous wavelet transforms
Data models
Training
Computer vision
Transformers
Transfer learning
Long-tailed recognition
self-attention
vision transformer
CNN
TrivialAugment
Spatial-Temporal Graph Network for Video Crowd Counting
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 1, 页码: 228-241
作者:
Wu, Zhe
;
Zhang, Xinfeng
;
Tian, Geng
;
Wang, Yaowei
;
Huang, Qingming
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/07/12
Computational modeling
Predictive models
Analytical models
Long short term memory
Optical flow
Integrated circuit modeling
Head
Video-based crowd counting
spatiotemporal graph attention
multi-scale module
Learning All Dynamics: Traffic Forecasting via Locality-Aware Spatio-Temporal Joint Transformer
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14
作者:
Fang, Yuchen
;
Zhao, Fang
;
Qin, Yanjun
;
Luo, Haiyong
;
Wang, Chenxing
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2022/12/07
Forecasting
Correlation
Convolution
Roads
Transformers
Predictive models
Task analysis
Traffic forecasting
spatio-temporal joint transformer
diffusion convolution network
Parallel Spatial-Temporal Self-Attention CNN-Based Motor Imagery Classification for BCI
期刊论文
FRONTIERS IN NEUROSCIENCE, 2020, 卷号: 14, 页码: 12
作者:
Liu, Xiuling
;
Shen, Yonglong
;
Liu, Jing
;
Yang, Jianli
;
Xiong, Peng
;
Lin, Feng
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2021/12/01
motor imagery
EEG
BCI
spatial-temporal self-attention
deep learning