Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals

1 code implementation • 4 Feb 2024 • Daojun Liang, Haixia Zhang, Dongfeng Yuan, Bingzheng Zhang, Minggao Zhang

In this paper, we find that ubiquitous time series (TS) forecasting models are prone to severe overfitting.

Time Series Time Series Forecasting

A WINNER+ Based 3-D Non-Stationary Wideband MIMO Channel Model

no code implementations • 1 Dec 2023 • Ji Bian, Jian Sun, Cheng-Xiang Wang, Rui Feng, Jie Huang, Yang Yang, Minggao Zhang

In this paper, a three-dimensional (3-D) non-stationary wideband multiple-input multiple-output (MIMO) channel model based on the WINNER+ channel model is proposed.

Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?

1 code implementation • 8 Jun 2023 • Daojun Liang, Haixia Zhang, Dongfeng Yuan, Xiaoyan Ma, Dongyang Li, Minggao Zhang

MABO allocates a process to each GPU via a queue mechanism, and then creates multiple trials at a time for asynchronous parallel search, which greatly reduces the search time.

Bayesian Optimization Hyperparameter Optimization

A General 3D Non-Stationary Wireless Channel Model for 5G and Beyond

no code implementations • 17 Jan 2021 • Ji Bian, Cheng-Xiang Wang, Xiqi Gao, Xiaohu You, Minggao Zhang

In this paper, a novel three-dimensional (3D) non-stationary geometry-based stochastic model (GBSM) for the fifth generation (5G) and beyond 5G (B5G) systems is proposed.