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Ze-Long Tian

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#artificial intelligence Preprint Oct 2026

Rethinking Time Series Tokenization from a Frequency Perspective

TimeFT is proposed, a nearly distortion-free frequency-based tokenizer for time series data that is parameter-free, incurs negligible computational complexity, and can serve as a drop-in replacement for existing tokenizers.

Ze-Long Tian, Ming Jin, Bo Du et al. · 0 citations
Jul 2026

DeepNC: A Fast GNN-based Pre-Verification Surrogate for TSN Configuration

DeepNC is a novel pre-verification surrogate module that pioneers the structural fusion of NC principles into a Graph Neural Network (GNN) for TSN configuration-space exploration, and significantly improves worst-case delay prediction accuracy over state-of-the-art learning-based methods.

Jiayi Zhu, Jing Lin, Zelong Tian et al. · 0 citations

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