3 citations · 5 across the 4 of their papers we have counts for
4 papers
A Mamba Foundation Model for Time Series Forecasting
Haoyu Ma, Yushu Chen, Wenlai Zhao +7
Time series foundation models have demonstrated strong performance in zero-shot learning, making them well-suited for predicting rapidly evolving patterns in real-world application…
A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting
Yushu Chen, Shengzhuo Liu, Jinzhe Yang +3
In order to enhance the performance of Transformer models for long-term multivariate forecasting while minimizing computational demands, this paper introduces the Joint Time-Freque…
An Adaptive Remote Stochastic Gradient Method for Training Neural Networks
Yushu Chen, Hao Jing, Wenlai Zhao +5
We present the remote stochastic gradient (RSG) method, which computes the gradients at configurable remote observation points, in order to improve the convergence rate and suppres…
The auxiliary function method for waveform based earthquake location
Hao Wu, Jing Chen, Hao Jing +2
This paper introduces the auxiliary function method (AFM), a novel, fast and simple approach for waveform based earthquake location. From any initial hypocenter and origin time, we…