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STWave+: A Multi-Scale Efficient Spectral Graph Attention Network With Long-Term Trends for Disentangled Traffic Flow Forecasting 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 卷号: 36, 期号: 6, 页码: 2671-2685
作者:  Fang, Yuchen;  Qin, Yanjun;  Luo, Haiyong;  Zhao, Fang;  Zheng, Kai
收藏  |  浏览/下载:1/0  |  提交时间:2024/12/06
Market research  Forecasting  Roads  Time series analysis  Sensors  Correlation  Encoding  Contrastive learning  graph attention network  spatio-temporal data  traffic forecasting  
Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 156848-156859
作者:  Cui, Guoxin;  Guo, Jiafeng;  Fan, Yixing;  Lan, Yanyan;  Cheng, Xueqi
收藏  |  浏览/下载:42/0  |  提交时间:2020/12/10
Training  Market research  Acceleration  Convergence  Servers  Stochastic processes  Machine learning  Parameter trend  asynchronous SGD  accelerate training