A High-Capacity 3D Steganography Algorithm With Adjustable Distortion. - Nannan Li 002; Jiangbei Hu; Riming Sun; Shengfa Wang; Zhongxuan Luo (IEEE Access, 2017)

A lightweight methodology of 3D printed objects utilizing multi-scale porous structures. - Jiangbei Hu; Shengfa Wang; Yi Wang 037; Fengqi Li; Zhongxuan Luo (Vis. Comput., 2019)

Efficient Representation and Optimization of TPMS-Based Porous Structures for 3D Heat Dissipation. - Shengfa Wang; Yu Jiang; Jiangbei Hu; Xin Fan 001; Zhongxuan Luo; Yongjin Liu; Ligang Liu 001 (Comput. Aided Des., 2022)

Efficient Representation and Optimization for TPMS-Based Porous Structures. - Jiangbei Hu; Shengfa Wang; Baojun Li; Fengqi Li; Zhongxuan Luo; Ligang Liu 001 (IEEE Trans. Vis. Comput. Graph., 2022)

Bi-directional Deformation for Parameterization of Neural Implicit Surfaces. - Baixin Xu; Jiangbei Hu; Fei Hou 001; Kwan-Yee Lin; Wayne Wu; Chen Qian 006; Ying He 001 (CoRR, 2023)

Robust Geometry and Reflectance Disentanglement for 3D Face Reconstruction from Sparse-view Images. - Daisheng Jin; Jiangbei Hu; Baixin Xu; Yuxin Dai; Chen Qian 006; Ying He 001 (CoRR, 2023)

Meshless Optimization of Triply Periodic Minimal Surface Based Two-Fluid Heat Exchanger. - Yu Jiang; Jiangbei Hu; Shengfa Wang; Na Lei; Zhongxuan Luo; Ligang Liu 001 (Comput. Aided Des., 2023)

Differentiable Channel Design for Enhancing Manufacturability of Enclosed Cavities. - Jun Yang; Jiangbei Hu; Shengfa Wang; Na Lei; Zhongxuan Luo (Comput. Aided Des., 2023)

An Efficient Self-supporting Infill Structure for Computational Fabrication. - Shengfa Wang; Zheng Liu; Jiangbei Hu; Na Lei; Zhongxuan Luo (Comput. Graph. Forum, 2023)

Parameterization-Driven Neural Surface Reconstruction for Object-Oriented Editing in Neural Rendering. - Baixin Xu; Jiangbei Hu; Fei Hou 001; Kwan-Yee Lin; Wayne Wu; Chen Qian 006; Ying He 001 (ECCV (41), 2024)

Real-time volume rendering with octree-based implicit surface representation. - Jiaze Li; Luo Zhang; Jiangbei Hu; Zhebin Zhang; Hongyu Sun; Gaochao Song; Ying He 001 (Comput. Aided Geom. Des., 2024)

Topology-Aware Latent Diffusion for 3D Shape Generation. - Jiangbei Hu; Ben Fei; Baixin Xu; Fei Hou 001; Weidong Yang 001; Shengfa Wang; Na Lei; Chen Qian 006; Ying He 001 (CoRR, 2024)

Learning Unsigned Distance Fields from Local Shape Functions for 3D Surface Reconstruction. - Jiangbei Hu; Yanggeng Li; Fei Hou 001; Junhui Hou; Zhebin Zhang; Shengfa Wang; Na Lei; Ying He 001 (CoRR, 2024)

GSurf: 3D Reconstruction via Signed Distance Fields with Direct Gaussian Supervision. - Baixin Xu; Jiangbei Hu; Jiaze Li; Ying He 001 (CoRR, 2024)

IF-TONIR: Iteration-free Topology Optimization based on Implicit Neural Representations. - Jiangbei Hu; Ying He 001; Baixin Xu; Shengfa Wang; Na Lei; Zhongxuan Luo (Comput. Aided Des., 2024)

A Parametric Design Method for Engraving Patterns on Thin Shells. - Jiangbei Hu; Shengfa Wang; Ying He 001; Zhongxuan Luo; Na Lei; Ligang Liu 001 (IEEE Trans. Vis. Comput. Graph., 2024)

GS-Octree: Octree-based 3D Gaussian Splatting for Robust Object-level 3D Reconstruction Under Strong Lighting. - Jiaze Li; Zhengyu Wen; Luo Zhang; Jiangbei Hu; Fei Hou 001; Zhebin Zhang; Ying He 001 (Comput. Graph. Forum, 2024)

A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions. - Jiangbei Hu; Yanggeng Li; Fei Hou 001; Junhui Hou; Zhebin Zhang; Shengfa Wang; Na Lei; Ying He 001 (CVPR, 2025)

SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images. - Daisheng Jin; Jiangbei Hu; Baixin Xu; Yuxin Dai; Chen Qian 006; Ying He 001 (CVPR, 2025)

Physics and geometry-augmented neural implicit surfaces for rigid bodies. - Yuanmu Xu; Guanli Hou; Jiangbei Hu; Tenglong Ren; Xiaokun Wang; Yalan Zhang; Xiaojuan Ban; Chen Qian 006; Fei Hou 001; Ying He 001 (Comput. Aided Geom. Des., 2025)