Shouguo Du

According to our database, Shouguo Du authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition.

Zhongde An, Jinhong You, Jiyanglin Li, Yiming Tang, Wen Li, Heming Du, Shouguo Du

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Multi-Scale Decomposition and Fusion Framework Utilizing Mamba for Enhanced Time Series Forecasting.

Wenjun Yu, Wen Li, Kun Zheng, Yiming Tang, Jiyanglin Li, Heming Du, Shouguo Du, Jinhong You

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

G-GLformer: Transformer with GRU Embedding and Global-Local Attention for Multivariate Time Series Forecasting.

Wenjun Yu, Jiyanglin Li, Wentao Gao, Niangxi Zhuang, Wen Li, Shouguo Du

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track, 2025

GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy.

Kailai Li, Jiong Lou, Jiawei Sun, Honghong Zeng, Wen Li, Chentao Wu, Yuan Luo, Wei Zhao, Shouguo Du, Jie Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

DAEM: A Decomposed Attention-Enhanced Mamba Model for Multivariate Time Series Forecasting.

Wen Li, Jiaxin Yuan, Heming Du, Jiyanglin Li, Shouguo Du, Yiming Tang

Proceedings of the International Joint Conference on Neural Networks, 2025

PCFNet: Enhancing Time Series Forecasting Through Preserving Constant Frequency.

Wenjun Yu, Wen Li, Wentao Gao, Wangyu Wu, Shouguo Du, Jiyanglin Li

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

Learning Seasonal-Trend Representations and Conditional Heteroskedasticity for Time Series Analysis.

Wen Li, Wenjun Yu, Heming Du, Shouguo Du, Jinhong You, Yiming Tang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

TF-CL: Time Series Forcasting Based on Time-Frequency Domain Contrastive Learning.

Wen Li, Yun Gu, Shouguo Du

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Probabilistic time series forecasting with deep non-linear state space models.

Heming Du, Shouguo Du, Wen Li

CAAI Trans. Intell. Technol., March, 2023