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Shi-Bo Feng

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#artificial intelligence Preprint Oct 2026

Parallel Predictive World Models for Accurate and Efficient Long-Horizon Planning

Long-horizon world-model planning typically relies on autoregressive rollouts, where predicted states are repeatedly fed back into the model. This preserves temporal structure but creates a horizon-length sequential path and exposes later predictions to recursive decoded-state feedback. We introduce Parallel Predictive...

Wan-Jin Feng, Bao-Bin Zhang, Ao Yu et al. · 0 citations
#artificial intelligence Preprint Oct 2026

ProtoFlow: Prototype-Guided Flow Matching for Multivariate Time Series Forecasting

Generative modeling has shown strong promise for multivariate time mseries (MTS) forecasting, especially scale to high-dimensional settings. Diffusion-based methods achieve competitive performance but typically require many sampling steps at inference. VAE-based non-iterative forecasting frameworks have therefore emerg...

Shi-Bo Feng, Wan-Jin Feng, Yang Qiu et al. · 0 citations

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