1 citations · 1 across the 5 of their papers we have counts for
5 papers
FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series Forecasting
Qianyang Li, Xingjun Zhang, Shaoxun Wang +2
Large-scale retail and industrial forecasting systems contain many heterogeneous time series whose lifecycle, sparsity, volatility, seasonality, spectral patterns, and contextual s…
Dual-pronged deep learning preprocessing on heterogeneous platforms with CPU, Accelerator and CSD
Jia Wei, Xingjun Zhang, Witold Pedrycz +2
For image-related deep learning tasks, the first step often involves reading data from external storage and performing preprocessing on the CPU. As accelerator speed increases and…
BEND: Bagging Deep Learning Training Based on Efficient Neural Network Diffusion
Jia Wei, Xingjun Zhang, Witold Pedrycz
Bagging has achieved great success in the field of machine learning by integrating multiple base classifiers to build a single strong classifier to reduce model variance. The perfo…
Application of the Space-Time Method to Stimulated Raman Adiabatic Passage on the Simple Harmonic Oscillator
Xingjun Zhang, Charles A. Weatherford
The space-time method is applied to a model system-the Simple Harmonic Oscillator in a laser field to simulate the Stimulated Raman Adiabatic Passage (STIRAP) process. The Space-Ti…
Evaluation of the matrix exponential function using finite elements in time
D H Gebremedhin, C A Weatherford, X Zhang +2
The evaluation of a matrix exponential function is a classic problem of computational linear algebra. Many different methods have been employed for its numerical evaluation [Moler…