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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