Zimeng Lyu
Ph.D. Candidate
Specializing in Time Series Forecasting, Stock Return Prediction, Continue Learning, and Neural Architecture Search. Published in top-tier venues like GECCO and Applied Soft Computing.
Research Areas
Time Series Forecasting
Online and Offline Time Series Forecasting, Stock Return Predictions
Neural Architecture
NeuroEvolution, Neural Architecture Search
Machine Learning
Minimally Supervised Learning, Self Organizing Maps
Latest News
April 2024
WCCI IJCNN acceptance
June 2023
Applied Soft Computing Journal Paper Accepted
Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting
Read Paper