no code implementations • 26 Apr 2024 • Xiang Li, Hu Yang
(2) In multivariate non-stationary series prediction, DeepVARMA uses a phased processing strategy to show higher adaptability and accuracy compared to the traditional VARMA model as well as the machine learning models LSTM, RF and XGBoost.
no code implementations • 7 Nov 2022 • Guohao Li, Hu Yang, Feng He, Zhifan Feng, Yajuan Lyu, Hua Wu, Haifeng Wang
To this end, we propose a Cross-modaL knOwledge-enhanced Pre-training (CLOP) method with Knowledge Regularizations.
no code implementations • 28 Oct 2022 • Wei Li, Xue Xu, Xinyan Xiao, Jiachen Liu, Hu Yang, Guohao Li, Zhanpeng Wang, Zhifan Feng, Qiaoqiao She, Yajuan Lyu, Hua Wu
Diffusion generative models have recently greatly improved the power of text-conditioned image generation.
no code implementations • 17 Oct 2022 • Hu Yang, Yi Huang, Haijun Wang, Yu Chen
Analyzing both temporal and spatial patterns for an accurate forecasting model for financial time series forecasting is a challenge due to the complex nature of temporal-spatial dynamics: time series from different locations often have distinct patterns; and for the same time series, patterns may vary as time goes by.
no code implementations • 29 Dec 2021 • Hesheng Tang, Hu Yang, Yangyang Liao, Liyu Xie
Vortex-induced vibration (VIV) is a typical nonlinear fluid-structure interaction phenomenon, which widely exists in practical engineering (the flexible riser, the bridge and the aircraft wing, etc).