Peng Chen

According to our database, Peng Chen authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LightGTS: A Lightweight General Time Series Forecasting Model.

Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

CoRR, June, 2025

Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems.

Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AimTS: Augmented Series and Image Contrastive Learning for Time Series Classification.

Yuxuan Chen, Shanshan Huang, Yunyao Cheng, Peng Chen, Zhongwen Rao, Yang Shu, Bin Yang, Lujia Pan, Chenjuan Guo

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Air Quality Prediction with Physics-Informed Dual Neural ODEs in Open Systems.

Jindong Tian, Yuxuan Liang, Ronghui Xu, Peng Chen, Chenjuan Guo, Aoying Zhou, Lujia Pan, Zhongwen Rao, Bin Yang

CoRR, 2024

FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting.

Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Qingsong Wen, Christian S. Jensen, Bin Yang

CoRR, 2024

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning.

Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

CoRR, 2024

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.

Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Weakly Guided Adaptation for Robust Time Series Forecasting.

Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen

Proc. VLDB Endow., December, 2023

MagicScaler: Uncertainty-aware, Predictive Autoscaling.

Zhicheng Pan, Yihang Wang, Yingying Zhang, Sean Bin Yang, Yunyao Cheng, Peng Chen, Chenjuan Guo, Qingsong Wen, Xiduo Tian, Yunliang Dou, Zhiqiang Zhou, Chengcheng Yang, Aoying Zhou, Bin Yang

Proc. VLDB Endow., 2023