3 citations · 6 across the 6 of their papers we have counts for
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cs.LG2024★ 3 cited
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…
cs.LG2023
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…
cs.LG2019
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…