Siyu Ren

Siyu Ren

Email: siyuren2-c@my.cityu.edu.hk
GitHub: rsy6318
Scholar: Google Scholar

About Me

I am a Senior Engineer at Huawei (2012 Labs), working on embodied intelligence and robot learning. I received dual Ph.D. degrees in 2025 through a joint doctoral program between Tianjin University (Optical Engineering, July 2025) and City University of Hong Kong (Computer Science, October 2025), advised by Prof. Junhui Hou and Prof. Xiaodong Chen. Before that, I received my B.Eng. from Tianjin University in 2018.

My research lies at the intersection of geometry processing, computer graphics, and embodied intelligence, with a focus on implicit and differentiable geometry representations and their applications in 3D reconstruction, compression, and robotic systems.

News

  • 2026.09 Area Chair for ICLR 2027.
  • 2026.01 One paper accepted to ICLR 2026.
  • 2025.11 Joined Huawei 2012 Labs.
  • 2025.10 Ph.D. from City University of Hong Kong.
  • 2025.09 Area Chair for ICLR 2026.
  • 2025.07 Ph.D. from Tianjin University.
  • 2025.07 One paper accepted to ICCV 2025.
  • 2025.04 One paper accepted to TPAMI.
  • 2025.01 One paper accepted to ICLR 2025.

Selected 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.

Paper 6
Neural Compression of 3D Meshes using Sparse Implicit Representation

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

Paper Code
Paper 6
NeCGS: Neural Compression for 3D Geometry Sets

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

Paper DOI 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. (First Author)
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. (First Author)
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2022.

Paper Code Website
Paper 5

Research Service

Awards