Qinfeng Xiao — accepted AI-conference papers

2026

Universal 3D Shape Matching via Coarse-to-Fine Language Guidance

Qinfeng Xiao, Guofeng Mei, Bo Yang, Liying Zhang, Jian Zhang, Kit-lun Yick

CVPR 2026

Establishing dense correspondences between shapes is a crucial task in computer vision and graphics, while prior approaches depend on near-isometric assumptions and homogeneous subject types (i.e., only operate for human shapes). However, building semantic correspondences for cross-category objects

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2021

Self-Supervised Learning for Sleep Stage Classification with Predictive and Discriminative Contrastive Coding

Qinfeng Xiao, Jing Wang, Jianan Ye, Hongjun Zhang, Yuyan Bu, Yiqiong Zhang +1

ICASSP 2021accepted

The purpose of this paper is to learn efficient representations from raw electroencephalogram (EEG) signals for sleep stage classification via self-supervised learning (SSL). Although supervised methods have gained favorable performance, they heavily rely on manually labeled datasets. Recently, SSL…

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