Peng Chen

About Me

I am a Ph.D. student in School of Data Science and Engineering of East China Normal University and a member of DI DaSE, advised by Prof.Chenjuan Guo , A/Prof.Yang Shu and Prof.Bin Yang. My research interests focus on Time Series Analysis based on Deep Learning, including forecasting, classification, time series fundation model, large language model for time series, multi-modal time series model.

News

• [July. 2025] Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality is accepted to ACM MM 2025.

• [May. 2025] Bechamrk about Time Series Forecasting Foundation Models (TSFM-Bench) is accepted to SIGKDD 2025.

• [May. 2025] Two Time Series Forecasting Foundation Models (ROSE) and (LightGTS) are accepted to ICML 2025.

• [Apr. 2025] AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification is accepted to ICDE 2025.

• [Jan. 2025] Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems is accepted to ICLR 2025.

• [Jan. 2024] Multi-scale Time Series Forecasting Model (Pathformer) is accepted to ICLR 2024.

Publications&Preprints

Services

Conference Reviewers

• International Conference on Learning Representations (ICLR) 2025
• Conference on Neural Information Processing Systems (NeurIPS) 2025
• ACM International Conference on Multimedia (ACM MM) 2025

Journal Reviewers

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• ACM Transactions on Intelligent Systems and Technology (TIST)
• IEEE Transactions on Neural Networks and learning systems (TNNLS)

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