Peng Chen

According to our database, Peng Chen authored at least 20 papers between 2023 and 2026.

Collaborative distances:

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

2026

Towards Multimodal Time Series Anomaly Detection with Semantic Alignment and Condensed Interaction.

Shiyan Hu, Jianxin Jin, Yang Shu, Peng Chen, Bin Yang, Chenjuan Guo

CoRR, March, 2026

Unlocking the Value of Text: Event-Driven Reasoning and Multi-Level Alignment for Time Series Forecasting.

Siyuan Wang, Peng Chen, Yihang Wang, Wanghui Qiu, Chenjuan Guo, Bin Yang, Yang Shu

CoRR, March, 2026

PATRA: Pattern-Aware Alignment and Balanced Reasoning for Time Series Question Answering.

Junkai Lu, Peng Chen, Xingjian Wu, Yang Shu, Chenjuan Guo, Christian S. Jensen, Bin Yang

CoRR, February, 2026

Empowering Time Series Analysis with Large-Scale Multimodal Pretraining.

Peng Chen, Siyuan Wang, Shiyan Hu, Xingjian Wu, Yang Shu, Zhongwen Rao, Meng Wang, Yijie Li, Bin Yang, Chenjuan Guo

CoRR, February, 2026

Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing.

Junkai Lu, Peng Chen, Chenjuan Guo, Yang Shu, Meng Wang, Bin Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

STAR: Boosting Time Series Foundation Models for Anomaly Detection through State-aware Adapter.

Hanyin Cheng, Ruitong Zhang, Yuning Lu, Peng Chen, Meng Wang, Yang Shu, Bin Yang, Chenjuan Guo

CoRR, October, 2025

Aurora: Towards Universal Generative Multimodal Time Series Forecasting.

Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo

CoRR, September, 2025

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting.

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

CoRR, August, 2025

Towards Measuring and Modeling Geometric Structures in Time Series Forecasting via Image Modality.

Mingyang Yu, Xiahui Guo, Peng Chen, Zhenkai Li, Yang Shu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

TSFM-Bench: A Comprehensive and Unified Benchmark 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, Christian S. Jensen, Bin Yang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer.

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

Proceedings of the Forty-second International Conference on Machine Learning, 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