Author

Xue Cheng

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Jul 2026

HyBDM: Multi-Scale Hybrid Experts for Time Series Forecasting with Bidirectional Dependency Modeling

Experiments show that HyBDM outperforms state-of-the-art methods in both forecasting accuracy and computational efficiency, demonstrating its effectiveness in bridging global-local dependencies for multivariate TSF.

Wenqiang Ma, Chen Cheng, Xue Cheng et al. · arXiv.org · 0 citations

Review Open access Jul 2026

Deep Temporal Convolutional Networks for High Frequency Cryptocurrency Price Forecasting

Findings from the application of Deep Temporal Convolutional Networks in high-frequency cryptocurrency price forecasting are synthesized, highlighting TCNs' advantages in computational efficiency, robustness, and adaptability to rapidly shifting trading environments.

Xue Cheng · Applied and Computational En... · 0 citations