Shubao Zhao

11 papers A 1Misc 3Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Noise-robust and sector-aware representation learning for natural gas demand forecasting.
Expert Syst. Appl.
Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan
2025 Misc conf
HCLTS: Mining Customers' Consumption Patterns in Natural Gas Time Series with Hierarchical Contrastive Learning.
ICASSP
Yuhang Niu, Jiaqi Ye, Shubao Zhao, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan
2025 Misc conf
LagTS: Toward Adaptive Lag Relationship Modeling for Multivariate Time Series Forecasting.
ICASSP
Ciyi Liu, Jiaqi Ye, Zhenpeng Yu, Shubao Zhao, Zhaoxiang Hou, Chengyi Yang, Yanlong Wen, Xiaojie Yuan
2025 Misc conf
Tribe Graph Enhanced Bidirectional Mamba for Multivariate Time Series Forecasting.
ICASSP
Yingqi Zhao, Haiwei Zhang, Jiaqi Ye, Shubao Zhao, Chengyi Yang, Zengxiang Li
2024 J jnl
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention.
CoRR
Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Chengyi Yang, Yanlong Wen, Xiaojie Yuan
2024 J jnl
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting.
CoRR
Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024 A conf
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting.
CIKM
Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
2024 J jnl
Rethinking self-supervised learning for time series forecasting: A temporal perspective.
Knowl. Based Syst.
Shubao Zhao, Xinxing Zhou, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang, Yanlong Wen, Xiaojie Yuan
2024 J jnl
Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting.
CoRR
Xinxing Zhou, Jiaqi Ye, Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Yanlong Wen, Xiaojie Yuan
2022 J jnl
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery.
CoRR
Sheng Guo, Zengxiang Li, Hui Liu, Shubao Zhao, Cheng Hao Jin
2022 — conf
Two-Phased Federated Learning with Clustering and Personalization for Natural Gas Load Forecasting.
FL@IJCAI
Shubao Zhao, Jia Liu, Guoliang Ma, Jie Yang, Di Liu, Zengxiang Li