Qinfeng Xiao (Larry)

PhD Student @ PolyU (The Hong Kong Polytechnic University)

Qinfeng Xiao (Larry) | PhD Student @ PolyU (The Hong Kong Polytechnic University)

I am currently a PhD student of the Hong Kong Polytechnic University (PolyU), supervised by Prof. Kit Lun Yick in AiDLAB and Prof. Bo Yang. Before that, I was a machine learning engineer at XiaoMi Inc. I received my Master’s degree from the Department of Computer Science, Beijing Jiaotong University, under the supervision of Prof. Jing Wang.

The Hong Kong Polytechnic University Beijing Jiaotong University

I closely collaborate with Guofeng Mei (FBK), Chenhan Jiang (HKUST) and Qi Zhang (UvA).

My research interests include:

3D Shape Matching 3D Vision-Language Models 3D Segmentation 3D Generation

News

  • [02/2026]: One paper on universal 3D shape matching is accepted to CVPR 2026!

Work Experience

Research Assistant, The Hong Kong Polytechnic University
Hong Kong
Apr. 2023 – Sep. 2023
Machine Learning Engineer, XiaoMi Inc.
Beijing, China
2021 – 2023

Publications

* denotes equal contribution; co-first author names swap order automatically.

Teaser figure for: Articulating then Matching: Zero-Shot Shape Matching for Uncurated Data
arXiv 2026
Articulating then Matching: Zero-Shot Shape Matching for Uncurated Data
Qilong Liu*Qinfeng Xiao*Chenyuan YiLiying ZhangKit-lun Yick
arXiv, 2026.
Teaser figure for: Universal 3D Shape Matching via Coarse-to-Fine Language Guidance
CVPR 2026
Universal 3D Shape Matching via Coarse-to-Fine Language Guidance
Qinfeng Xiao*Guofeng Mei*Bo YangLiying ZhangJian ZhangKit-lun Yick
The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026.
Teaser figure for: Parameter-Efficient CLIP Adaptation for 3D Understanding via Unified Tokenization
arXiv 2025
Parameter-Efficient CLIP Adaptation for 3D Understanding via Unified Tokenization
Guofeng Mei*Qinfeng Xiao*Bin RenLuigi RizJuan LiuXiaoshui HuangXu ZhengNicu SebeMing-Hsuan YangFabio Poiesi
arXiv, 2025.
Teaser figure for: CoSleep: A Multi-view Representation Learning Framework for Self-Supervised Learning of Sleep Stage Classification
IEEE SPL 2021
CoSleep: A Multi-view Representation Learning Framework for Self-Supervised Learning of Sleep Stage Classification
Jianan Ye*Qinfeng Xiao*
IEEE Signal Processing Letters, 2021.
Teaser figure for: Self-Supervised Learning for Sleep Stage Classification with Predictive and Discriminative Contrastive Coding
ICASSP 2021
Self-Supervised Learning for Sleep Stage Classification with Predictive and Discriminative Contrastive Coding
Qinfeng Xiao
The International Conference on Acoustics, Speech, & Signal Processing, 2021.