Profile Photo

Siyu Ren

Tianjin University & City University of Hong Kong

Email: siyuren2-c@my.cityu.edu.hk
GitHub: https://github.com/rsy6318

About Me

I am Siyu, currently working at Huawei, where I focus on research and development in Embodied Intelligence. I received my Ph.D. through a joint doctoral program between Tianjin University and City University of Hong Kong. During my doctoral studies at Tianjin University, I have had the privilege of joining Prof. Junhui Hou's research group at City University of Hong Kong, where I have been able to deepen my knowledge and contribute to cutting-edge research. My research interests lie in Geometry Processing, Computer Graphics, and Embodied Intelligence, with a particular focus on Implicit Geometry Representation and its applications in intelligent robotic systems.

Before that, I received my Bachelor's degree from Tianjin University in 2018. During my studies, I have published multiple papers in top-tier conferences and journals.

Publications

Implicit Representation of 3D Geometry: A Comprehensive Survey, Benchmark, and Future Directions

Jiazhi Xia, Chen He, Chuanxiang Yang, Siyu Ren, Junhui Hou, Ying He, and Wenping Wang.
Under Review.

-->
Neural Compression of 3D Meshes using Sparse Implicit Representation

Jianqiang Wang*, Siyu Ren*, Junhui Hou. (* Equal Contribution)
International Conference on Learning Representations (ICLR), 2026.

Paper Code
NeCGS: Neural Compression for 3D Geometry Sets

Siyu Ren, Junhui Hou, Weiyao Lin, Wenping Wang.
International Conference on Computer Vision (ICCV), 2025.

Paper Code
Paper 6
Shape as Line Segments: Accurate and Flexible Implicit Surface Representation

Siyu Ren, Junhui Hou.
International Conference on Learning Representations (ICLR), 2025.

Paper Code
Paper 1
DDM: A Metric for Comparing 3D Shapes Using Directional Distance Fields

Siyu Ren, Junhui Hou, Xidaodong Chen, Hongkai Xiong, and Wenping Wang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2025.

Paper Code
Paper 7
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration

Yifan Zhang, Junhui Hou, Siyu Ren, Jinjian Wu, Yixuan Yuan, Guangming Shi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2025.

Paper Code
Paper 7
RBFIM: Perceptual Quality Assessment for Compressed Point Clouds Using Radial Basis Function Interpolation

Zhang Chen, Shuai Wan, Siyu Ren, Fuzheng Yang, Mengting Yu, Junhui Hou.
IEEE Transactions on Multimedia (T-MM), 2025.

Paper
Paper 6
DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction

Yuxin Yao, Siyu Ren, Junhui Hou, Zhi Deng, Juyong Zhang, Wenping Wang.
European Conference on Computer Vision (ECCV), 2024.

Paper Code Website
Paper 2
Dynamic 3D Point Cloud Sequences as 2D Videos

Yiming Zeng, Junhui Hou, Qijian Zhang, Siyu Ren, Wenping Wang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.

Paper Code
Paper 3
GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation

Siyu Ren, Junhui Hou, Xiaodong Chen, Ying He, and Wenping Wang.
International Conference on Computer Vision (ICCV), 2023.

Paper Code Website
Paper 4
CorrI2P: Deep Image-to-Point Cloud Registration via Dense Correspondence

Siyu Ren, Yiming Zeng, Junhui Hou, Xiaodong Chen.
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2022.

Paper Code Website
Paper 5

Research Service

Awards