Ph.D Student

Department of Computer Science

Hong Kong Baptist University

Office: DLB-625

Email: xiufenghuang@life.hkbu.edu.hk

Bio

I’m a second year Ph.D. student in the Department of Computer Science at Hong Kong Baptist University, under the supervision of Dr. Renjie Wan.

Previously I obtained my Master degree in Electronic Engineering from the City University of Hong Kong, supervised by Prof. Lai-Man Po, and my Bachelor degree in Electronic Engineering from Shenzhen University. I also worked as a Research Engineer at SmartMore Company. Currently, I’m a Research Intern at NVIDIA AI Technology Center (NVAITC).

Publications

HairLRM: Strand-based Hair Modeling via Large Reconstruction Models.
Yuefan Shen, Yican Dong, Xiufeng Huang, Zhongtian Zheng, Youyi Zheng, Kui Wu.
ACM SIGGRAPH 2026.

MarkSplatter: Generalizable Watermarking for 3D Gaussian Splatting Model via Splatter Image Structure.
XiuFeng Huang, Ziyuan Luo, Ruofei Wang, Qi Song, Renjie Wan.
ACM International Conference on Multimedia (ACMMM, oral), 2025.

Stereo-GS: Multi-View Stereo Vision Model for Generalizable 3D Gaussian Splatting Reconstruction.
XiuFeng Huang, Ka Chun Cheung, Runmin Cong, Simon See, Renjie Wan.
ACM International Conference on Multimedia (ACMMM), 2025.

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting.
XiuFeng Huang, Ruiqi Li, Yiu-ming Cheung, Ka Chun Cheung, Simon See, Renjie Wan.
Conference on Neural Information Processing Systems (NeurIPS), 2024.

GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields.
XiuFeng Huang, Ka Chun Cheung, Simon See, Renjie Wan.
European Conference on Computer Vision (ECCV), 2024.

Motion Transfer-Driven Intra-Class Data Augmentation for Finger Vein Recognition
XiuFeng Huang, LaiMan Po, WeiFeng Ou.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, oral), 2024.

Joint Learning of Identity and Vein Features for Enhanced Representations in Vascular Biometrics
WeiFeng Ou, LaiMan Po, XiuFeng Huang.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP, oral), 2024.

GSCL: Generative Self-Supervised Contrastive Learning for Vein-Based Biometric Verification.
WeiFeng Ou, LaiMan Po, XiuFeng Huang, WingYin Yu, YuZhi Zhao.
IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM), 2024.