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X. Liu

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Conference Open access Sep 2026

Frequency-Aware Augmentation and Alignment for Time Series Contrastive Learning

A framework of Frequency-Aware Augmentation and Alignment for Time Series Contrastive Learning (FACL), which comprises two key innovations, employs a novel frequency-structured augmentation mechanism based on wavelet transforms and introduces a multi-level contrastive objective that incorporates a subspace alignment st...

Yu-Sen Liu, Zhichen Lai, Hua Lu et al. · 0 citations
Conference Open access Jul 2026

Causal Discovery with Inverted Self-attention for Multivariate Time Series

This work introduces a novel inverted causal self-attention mechanism (CSAM) that emphasizes latent and indirect causal relationships by inverting tokens and inducing sparsity in attention scores, focusing on significant causal interactions and reducing spurious correlations.

Yu-Sen Liu, Yong Wang, Yifan Yin et al. · 6 citations
Book Open access Aug 2026

TGD-CSP: Reliable Crystal Structure Prediction with Template-Guided Diffusion and Energy-Based Optimization

Crystal Structure Prediction (CSP), the task of determining stable atomic arrangements from chemical composition alone, remains a central challenge in computational materials science with direct implications for accelerating materials discovery. While recent diffusion-based generative models achieve impressive results...

Lu Yang, Tian-Tian Xu, Xiu-Feng Liu et al. · 0 citations
Book Open access Aug 2026

TGD-CSP: Reliable Crystal Structure Prediction with Template-Guided Diffusion and Energy-Based Optimization

Crystal Structure Prediction (CSP), the task of determining stable atomic arrangements from chemical composition alone, remains a central challenge in computational materials science with direct implications for accelerating materials discovery. While recent diffusion-based generative models achieve impressive results...

Lu Yang, Tiantian Xu, X. Liu et al. · 0 citations

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