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REFOL: Resource-Efficient Federated Online Learning for Traffic Flow Forecasting 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 页码: 16
作者:  Liu, Qingxiang;  Sun, Sheng;  Liang, Yuxuan;  Xu, Xiaolong;  Liu, Min;  Bilal, Muhammad;  Wang, Yuwei;  Li, Xujing;  Zheng, Yu
收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25
Predictive models  Concept drift  Correlation  Forecasting  Computational modeling  Data models  Optimization  Adaptation models  Urban areas  Training  Traffic flow forecasting  federated learning  concept drift  online learning  graph convolution  
Temporal Knowledge Graph Reasoning With Dynamic Memory Enhancement 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 11, 页码: 7115-7128
作者:  Zhang, Fuwei;  Zhang, Zhao;  Zhuang, Fuzhen;  Zhao, Yu;  Wang, Deqing;  Zheng, Hongwei
收藏  |  浏览/下载：3/0  |  提交时间：2025/06/25
Cognition  Knowledge graphs  Task analysis  History  Convolution  Biological system modeling  Semantics  Temporal knowledge graph (TKG)  memory pool  temporal knowledge graph reasoning  
A Task-Adaptive In-Situ ReRAM Computing for Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 9, 页码: 2635-2646
作者:  He, Yintao;  Li, Bing;  Wang, Ying;  Liu, Cheng;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：23/0  |  提交时间：2024/12/06
Task analysis  Sparse matrices  Convolution  Convolutional neural networks  Design automation  Neural networks  Integrated circuits  Graph convolutional network  hardware acceleration  processing-in-memory  
DMGSTCN: Dynamic Multigraph Spatio-Temporal Convolution Network for Traffic Forecasting 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2024, 卷号: 11, 期号: 12, 页码: 22208-22219
作者:  Qin, Yanjun;  Tao, Xiaoming;  Fang, Yuchen;  Luo, Haiyong;  Zhao, Fang;  Wang, Chenxing
收藏  |  浏览/下载：19/0  |  提交时间：2024/12/06
Time series analysis  Convolution  Forecasting  Correlation  Task analysis  Roads  Predictive models  Graph convolution network (GCN)  spatial-temporal data  traffic forecasting  
Computer-based facial recognition as an assisting diagnostic tool to identify children with Noonan syndrome 期刊论文
BMC PEDIATRICS, 2024, 卷号: 24, 期号: 1, 页码: 9
作者:  Huang, Yulu;  Sun, Haomiao;  Chen, Qinchang;  Shen, Junjun;  Han, Jin;  Shan, Shiguang;  Wang, Shushui
收藏  |  浏览/下载：25/0  |  提交时间：2024/12/06
Noonan syndrome  Genetic syndrome  Convolution neural network  Facial recognition  Batch normalization  
Predicting Vessel Trajectories Using ASTGCN with StemGNN-Derived Correlation Matrix 期刊论文
APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 10, 页码: 20
作者:  Zhang, Ran;  Chen, Xiaohui;  Ye, Lin;  Yu, Wentao;  Zhang, Bing;  Liu, Junnan
收藏  |  浏览/下载：18/0  |  提交时间：2024/12/06
ais  trajectory prediction  attention mechanism  spatio-temporal graph convolution  
CUTE: A scalable CPU-centric and Ultra-utilized Tensor Engine for convolutions 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2024, 卷号: 149, 页码: 15
作者:  Li, Wenqing;  Ye, Jinpeng;  Zhang, Fuxin;  Liu, Tianyi;  Zhang, Tingting;  Wang, Jian
收藏  |  浏览/下载：26/0  |  提交时间：2024/05/20
Tensor engine  Convolution  Scalable architecture  CPU-centric  Utilization  
Fast Convolution Meets Low Precision: Exploring Efficient Quantized Winograd Convolution on Modern CPUs 期刊论文
ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 2024, 卷号: 21, 期号: 1, 页码: 26
作者:  Wang, Xueying;  Li, Guangli;  Jia, Zhen;  Feng, Xiaobing;  Wang, Yida
收藏  |  浏览/下载：26/0  |  提交时间：2024/05/20
Deep learning  winograd convolution  low-precision computation  
Temporal Dynamic Concept Modeling Network for Explainable Video Event Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 6, 页码: 22
作者:  Zhang, Weigang;  Qi, Zhaobo;  Wang, Shuhui;  Su, Chi;  Su, Li;  Huang, Qingming
收藏  |  浏览/下载：41/0  |  提交时间：2023/12/04
Event recognition  temporal concept receptive field  dynamic convolution  
Exploring Winograd Convolution for Cost-Effective Neural Network Fault Tolerance 期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 卷号: 31, 期号: 11, 页码: 1763-1773
作者:  Xue, Xinghua;  Liu, Cheng;  Liu, Bo;  Huang, Haitong;  Wang, Ying;  Luo, Tao;  Zhang, Lei;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载：29/0  |  提交时间：2024/05/20
Fault tolerant systems  Fault tolerance  Artificial neural networks  Convolution  Reliability  Computational modeling  Neurons  Fault-tolerance  soft errors  vulnerability analysis  winograd convolution (WG-Conv)