4 citations · 4 across the 2 of their papers we have counts for
4 papers
A Lightweight Sparse Interaction Network for Time Series Forecasting
Xu Zhang, Qitong Wang, Peng Wang +1
Recent work shows that linear models can outperform several transformer models in long-term time-series forecasting (TSF). However, instead of explicitly performing temporal intera…
Global Feature Enhancing and Fusion Framework for Strain Gauge Time Series Classification
Xu Zhang, Peng Wang, Chen Wang +3
Strain Gauge Status (SGS) time series recognition is crucial in the field of intelligent manufacturing based on the Internet of Things, as accurate identification helps timely dete…
Multi-period Learning for Financial Time Series Forecasting
Xu Zhang, Zhengang Huang, Yunzhi Wu +7
Time series forecasting is important in finance domain. Financial time series (TS) patterns are influenced by both short-term public opinions and medium-/long-term policy and marke…
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision Fusion
Xu Zhang, Zhipeng Xie, Haiyang Yu +3
Handling varying computational resources is a critical issue in modern AI applications. Adaptive deep networks, featuring the dynamic employment of multiple classifier heads among…