Scholar
Peng Chen
Google Scholar ID: xWrQThQAAAAJ
Ph.D. student, East China Normal University
Citations & Impact
Citations
369
H-index
6
i10-index
6
Publications
10
Co-authors
10
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Paper 'Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality' accepted to ACM MM 2025.
- Paper 'Bechamrk about Time Series Forecasting Foundation Models (TSFM-Bench)' accepted to SIGKDD 2025.
- Paper 'Two Time Series Forecasting Foundation Models (ROSE) and (LightGTS)' accepted to ICML 2025.
- Paper 'AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification' accepted to ICDE 2025.
- Paper 'Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems' accepted to ICLR 2025.
- Paper 'Multi-scale Time Series Forecasting Model (Pathformer)' accepted to ICLR 2024.
Research Experience
- As a Ph.D. student, he has been involved in multiple research projects covering various aspects of time series analysis, forecasting, and classification.
Education
- Ph.D. - School of Data Science and Engineering, East China Normal University, Advisors: Prof. Chenjuan Guo, A/Prof. Yang Shu, and Prof. Bin Yang
Background
- Peng Chen is a Ph.D. student at the School of Data Science and Engineering, East China Normal University, and a member of DI DaSE. His research interests focus on Time Series Analysis based on Deep Learning, including forecasting, classification, time series foundation model, large language model for time series, multi-modal time series model.
Miscellany
- Served as a reviewer for several international conferences (e.g., ICLR 2025, NeurIPS 2025, ACM MM 2025) and journals such as IEEE TPAMI.
