Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Published several papers, including 'FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective', 'FilterNet: Harnessing Frequency Filters for Time Series Forecasting', and 'Frequency-domain MLPs are More Effective Learners in Time Series Forecasting'.
Research Experience
Involved in multiple research projects related to time series analysis and forecasting.
Background
Research interests include time series forecasting and graph neural networks.