Xiaotao Wu

2 accepted papers

2026

PDFlow: Popularity-Debiased Flow Matching for Sequential Recommendation

Zican Yang, Zeyu Li, Cong He, Xiaotao Wu, Guanfeng Liu, Pengpeng Zhao

IJCAI 2026

Generative models have emerged as a powerful paradigm in sequential recommendation due to their superior distribution modeling. However, long-tail data distributions inevitably induce popularity bias, as iterative generation trajectories gravitate toward dense clusters of popular items. Current debi

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2025

ThicknessVAE: Learning a Lateral Prior for Clothed Human Body Reconstruction

Xiaotao Wu, Zhaoxin Fan, Huiguang He, Dinggang Shen

ICASSP 2025accepted

Sandwich-like structures have shown remarkable efficacy in clothed human reconstruction. However, these approaches often generate unrealistic side geometries due to inadequate handling of lateral regions. This paper addresses this limitation by incorporating the side geometry of clothed humans as a…

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