Resume
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.