Daishun Cui

According to our database, Daishun Cui authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

2025

ECLNet: enhancing the CNN-LSTM networks for multivariate long-term time series forecasting.

Jiachen Xie, Jiwei Qin, Xizhong Qin, Qiang Li, Daishun Cui, Dezhi Sun

Appl. Intell., July, 2025

TOEformer: Temporal order enhanced Transformer for time series forecasting.

Qiang Li, Jiwei Qin, Dacheng Wang, Xizhong Qin, Daishun Cui, Jiachen Xie, Dezhi Sun

Eng. Appl. Artif. Intell., 2025

A novel Koopman-based Assistant Features Network for long and short-term carbon emission prediction.

Daishun Cui, Jiwei Qin, Dezhi Sun, Xizhong Qin, Fei Shi

Eng. Appl. Artif. Intell., 2025

Research on adaptive long-term time series carbon dioxide emission prediction model based on improved multilayer perceptron.

Jiachen Xie, Jiwei Qin, Xizhong Qin, Daishun Cui, Qiang Li, Dezhi Sun

Big Data Res., 2025

2024

CMMamba: channel mixing Mamba for time series forecasting.

Qiang Li, Jiwei Qin, Daishun Cui, Dezhi Sun, Dacheng Wang

J. Big Data, December, 2024

Item attributes fusion based on contrastive learning for sequential recommendation.

Donghao Zhang, Jiwei Qin, Jie Ma, Zhibin Yang, Daishun Cui, Peichen Ji

Multim. Syst., October, 2024

LinWA:Linear Weights Attention for Time Series Forecasting.

Qiang Li, Jiwei Qin, Dezhi Sun, Fei Shi, Daishun Cui, Jiachen Xie

Proceedings of the International Joint Conference on Neural Networks, 2024

MP3Net:Multi-scale Patch Parallel Prediction Networks for Multivariate Time Series Forecasting.

Daishun Cui, Jiwei Qin, Fang He, Fei Shi, Qiang Li, Dezhi Sun, Jiachen Xie

Proceedings of the International Joint Conference on Neural Networks, 2024