Lefei Shen

According to our database, Lefei Shen authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

VisionTS++: Cross-Modal Time Series Foundation Model with Continual Pre-trained Visual Backbones.

Lefei Shen, Mouxiang Chen, Xu Liu, Han Fu, Xiaoxue Ren, Jianling Sun, Zhuo Li, Chenghao Liu

CoRR, August, 2025

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting.

Lefei Shen, Mouxiang Chen, Han Fu, Xiaoxue Ren, Xiaoyun Joy Wang, Jianling Sun, Zhuo Li, Chenghao Liu

CoRR, July, 2025

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan - A Pre-trained Weather Forecasting Model.

Peisong Niu, Ziqing Ma, Tian Zhou, Weiqi Chen, Lefei Shen, Rong Jin, Liang Sun

CoRR, May, 2025

Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting.

Weiqi Chen, Zhaoyang Zhu, Yifan Zhang, Lefei Shen, Linxiao Yang, Qingsong Wen, Liang Sun

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters.

Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu

CoRR, 2024

Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift.

Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Calibration of Time-Series Forecasting Transformers: Detecting and Adapting Context-Driven Distribution Shift.

Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu

CoRR, 2023