Shubao Zhao

According to our database, Shubao Zhao authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Noise-robust and sector-aware representation learning for natural gas demand forecasting.

Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan

Expert Syst. Appl., 2026

2025

Tribe Graph Enhanced Bidirectional Mamba for Multivariate Time Series Forecasting.

Yingqi Zhao, Haiwei Zhang, Jiaqi Ye, Shubao Zhao, Chengyi Yang, Zengxiang Li

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

HCLTS: Mining Customers' Consumption Patterns in Natural Gas Time Series with Hierarchical Contrastive Learning.

Yuhang Niu, Jiaqi Ye, Shubao Zhao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

LagTS: Toward Adaptive Lag Relationship Modeling for Multivariate Time Series Forecasting.

Ciyi Liu, Jiaqi Ye, Zhenpeng Yu, Shubao Zhao, Zhaoxiang Hou, Chengyi Yang, Yanlong Wen, Xiaojie Yuan

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Rethinking self-supervised learning for time series forecasting: A temporal perspective.

Shubao Zhao, Xinxing Zhou, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang, Yanlong Wen, Xiaojie Yuan

Knowl. Based Syst., 2024

EffiCANet: Efficient Time Series Forecasting with Convolutional Attention.

Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Chengyi Yang, Yanlong Wen, Xiaojie Yuan

CoRR, 2024

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting.

Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan

CoRR, 2024

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting.

Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang

CoRR, 2024

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting.

Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2022

Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery.

Sheng Guo, Zengxiang Li, Hui Liu, Shubao Zhao, Cheng Hao Jin

CoRR, 2022

Two-Phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting.

Shubao Zhao, Jia Liu, Guoliang Ma, Jie Yang, Di Liu, Zengxiang Li

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022