Seunghan Lee
(B.S) Yonsei Univ., Business Administration/Applied Statistics
(M.S, Ph.D) Yonsei Univ., Statistics and Data Science
Research Topics
- Time Series (TS) Deep Learning
- TS Forecasting
- TS Representation Learning
- TS Diffusion Models, Foundation Models
T. 010-8768-8472
E. seunghan9613@yonsei.ac.kr
Recent Publications (First author)
- [NeurIPSW 2024 Oral] Partial Channel Dependence with Channel Masks for Time Series Foundation Models
- [NeurIPSW 2024] Sequential Order-Robust Mamba for Time Series Forecasting
- [NeurIPS 2024] ANT: Adaptive Noise Schedule for Time Series Diffusion Models
- [ICLR 2024 Spotlight] Soft Contrastive Learning for Time Series
- [ICLR 2024, NeurIPSW 2023 Oral] Learning to Embed Time Series Patches Independently
