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Accelerating Convolutional Neural Networks by Exploiting the Sparsity of Output Activation 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023, 卷号: 34, 期号: 12, 页码: 3253-3265
作者:  Fan, Zhihua;  Li, Wenming;  Wang, Zhen;  Liu, Tianyu;  Wu, Haibin;  Liu, Yanhuan;  Wu, Meng;  Wu, Xinxin;  Ye, Xiaochun;  Fan, Dongrui;  Sun, Ninghui;  An, Xuejun
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Accelerator  output activation  prediction  sparse convolutional neural network  
Semantic and Correlation Disentangled Graph Convolutions for Multilabel Image Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Cai, Shaofei;  Li, Liang;  Han, Xinzhe;  Huang, Shan;  Tian, Qi;  Huang, Qingming
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Attention mechanism  feature disentangling  graph convolutional network (GCN)  multilabel recognition  
Dynamic graph neural network-based fraud detectors against collaborative fraudsters 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 278, 页码: 12
作者:  Ren, Lingfei;  Hu, Ruimin;  Li, Dengshi;  Liu, Yang;  Wu, Junhang;  Zang, Yilong;  Hu, Wenyi
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Telecom fraud detection  Collaborative fraud  Semi -supervised learning  Dynamic graph neural network  
NeuralGLS: learning to guide local search with graph convolutional network for the traveling salesman problem 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2023, 页码: 20
作者:  Sui, Jingyan;  Ding, Shizhe;  Xia, Boyang;  Liu, Ruizhi;  Bu, Dongbo
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Graph convolutional network  Guided local search  Traveling salesman problem  
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：7/0  |  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  
Research on Multi-Port Ship Traffic Prediction Method Based on Spatiotemporal Graph Neural Networks 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 7, 页码: 18
作者:  Li, Yong;  Li, Zhaoxuan;  Mei, Qiang;  Wang, Peng;  Hu, Wenlong;  Wang, Zhishan;  Xie, Wenxin;  Yang, Yang;  Chen, Yuhaoran
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
spatiotemporal graph neural network  traffic flow prediction  ship big data  AIS  port traffic prediction  
Composite Object Relation Modeling for Few-Shot Scene Recognition 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 5678-5691
作者:  Song, Xinhang;  Liu, Chenlong;  Zeng, Haitao;  Zhu, Yaohui;  Chen, Gongwei;  Qin, Xiaorong;  Jiang, Shuqiang
收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04
Scene recognition  few-shot learning  graph modeling  generalization ability  
Optimus: An Operator Fusion Framework for Deep Neural Networks 期刊论文
ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2023, 卷号: 22, 期号: 1, 页码: 26
作者:  Cai, Xuyi;  Wang, Ying;  Zhang, Lei
收藏  |  浏览/下载：15/0  |  提交时间：2023/07/12
Neural network  embedded processor  memory  layer fusion  
附加特征图增强的图卷积神经网络 期刊论文
计算机学报, 2023, 卷号: 46, 期号: 9, 页码: 1900
作者:  孙隽姝;  王树徽;  杨晨雪;  黄庆明;  郑振刚
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
graph representation learning  graph neural networks  message passing  graph convolutional networks  node classification  图表示学习  图神经网络  信息传播  图卷积网络  节点分类  
Multi-featured spatial-temporal and dynamic multi-graph convolutional network for metro passenger flow prediction 期刊论文
CONNECTION SCIENCE, 2022, 卷号: 34, 期号: 1, 页码: 1252-1272
作者:  Zhao, Chuan;  Li, Xin;  Shao, Zezhi;  Yang, HongJi;  Wang, Fei
收藏  |  浏览/下载：32/0  |  提交时间：2022/12/07
Metro passenger flow prediction  deep learning  multi-featured spatial-temporal tensor  dynamic multi-graph neural network