
Pengfei Wang; Ziyang Zhang; Wensong Wang; Shuangmin Chen; Lin Lu; Shiqing Xin; Changhe Tu.
Arxiv 2025 2025
A novel isosurface extraction framework that leverages incrementally constructed power diagrams and adaptive sampling to capture intricate geometric and topological details from Signed Distance Fields with minimal computational cost.
Pengfei Wang; Ziyang Zhang; Wensong Wang; Shuangmin Chen; Lin Lu; Shiqing Xin; Changhe Tu.
A novel isosurface extraction framework that leverages incrementally constructed power diagrams and adaptive sampling to capture intricate geometric and topological details from Signed Distance Fields with minimal computational cost.

Pengfei Wang*; Yuexin Yang*; Shuangmin Chen; Shiqing Xin; Changhe Tu; Wenping Wang. (* equal contribution)
Computer Graphics Forum (CGF). Presented at PG 2025 2025
A novel multi-field tetrahedral framework that inverts motion perspective to robustly compute swept volumes with high geometric fidelity, effectively resolving complex self-intersections where traditional single-field methods fail.
Pengfei Wang*; Yuexin Yang*; Shuangmin Chen; Shiqing Xin; Changhe Tu; Wenping Wang. (* equal contribution)
A novel multi-field tetrahedral framework that inverts motion perspective to robustly compute swept volumes with high geometric fidelity, effectively resolving complex self-intersections where traditional single-field methods fail.

Pengfei Wang; Jiantao Song; Shiqing Xin; Shuangmin Chen; Changhe Tu; Wenping Wang; Jiaye Wang.
IEEE Transactions on Pattern Analysis and Machine Intelligence 2025
A novel dynamic programming framework that encodes the incremental evolution of Voronoi diagrams into a DAG to accelerate nearest neighbor search on manifolds and reduce density peak clustering complexity to $O(n \log n)$.
Pengfei Wang; Jiantao Song; Shiqing Xin; Shuangmin Chen; Changhe Tu; Wenping Wang; Jiaye Wang.
A novel dynamic programming framework that encodes the incremental evolution of Voronoi diagrams into a DAG to accelerate nearest neighbor search on manifolds and reduce density peak clustering complexity to $O(n \log n)$.

Jin Zhao*; Pengfei Wang*; Shuangmin Chen; Jiong Guo; Shiqing Xin; Changhe Tu; Wenping Wang. (* equal contribution)
Computer-Aided Design (CAD). Presented at SPM 2025 2025
A novel offset computation paradigm that utilizes surface-constrained Voronoi decomposition and intrinsic triangulation to transform complex geodesic tracing into efficient, localized cell-traversal operations on parametric surfaces.
Jin Zhao*; Pengfei Wang*; Shuangmin Chen; Jiong Guo; Shiqing Xin; Changhe Tu; Wenping Wang. (* equal contribution)
A novel offset computation paradigm that utilizes surface-constrained Voronoi decomposition and intrinsic triangulation to transform complex geodesic tracing into efficient, localized cell-traversal operations on parametric surfaces.

Pengfei Wang; Jiantao Song; Lei Wang; Shiqing Xin; Dongming Yan; Shuangmin Chen; Changhe Tu; Wenping Wang.
IEEE Transactions on Visualization and Computer Graphics (TVCG) 2025
A high-fidelity medial axis extraction framework that generalizes Voronoi computation to 4D space via hyperplane cutting within tetrahedral elements, effectively resolving complex surface patch interactions to eliminate discretization artifacts.
Pengfei Wang; Jiantao Song; Lei Wang; Shiqing Xin; Dongming Yan; Shuangmin Chen; Changhe Tu; Wenping Wang.
A high-fidelity medial axis extraction framework that generalizes Voronoi computation to 4D space via hyperplane cutting within tetrahedral elements, effectively resolving complex surface patch interactions to eliminate discretization artifacts.

Xuetong Zhao; Pengfei Wang; Yining Xu; Shuangmin Chen; Hui Li.
Proceedings of the International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics) 2025
A spectral geometry-based framework that integrates biharmonic embedding distances into Voronoi computation to efficiently handle thin-plate structures, preventing cross-surface penetration while enabling high-quality Centroidal Voronoi Tessellation.
Xuetong Zhao; Pengfei Wang; Yining Xu; Shuangmin Chen; Hui Li.
A spectral geometry-based framework that integrates biharmonic embedding distances into Voronoi computation to efficiently handle thin-plate structures, preventing cross-surface penetration while enabling high-quality Centroidal Voronoi Tessellation.

Wei Liu*; Pengfei Wang*; Shuangmin Chen; Shiqing Xin; Changhe Tu; Ying He; Wenping Wang. (* equal contribution)
Computer Aided Geometric Design (CAGD). Presented at GMP 2024 2024
A two-stage algorithm to compute the geodesic ridge curve on triangular meshes. By cutting the surface along the dual structure of the shortest path tree and using a fast marching solver on the extended surface, we enable accurate geodesic distance querying and high-fidelity visualization of geodesic iso-lines.
Wei Liu*; Pengfei Wang*; Shuangmin Chen; Shiqing Xin; Changhe Tu; Ying He; Wenping Wang. (* equal contribution)
A two-stage algorithm to compute the geodesic ridge curve on triangular meshes. By cutting the surface along the dual structure of the shortest path tree and using a fast marching solver on the extended surface, we enable accurate geodesic distance querying and high-fidelity visualization of geodesic iso-lines.

Lei Wang; Xudong Wang; Pengfei Wang; Shuangmin Chen; Shiqing Xin; Jiong Guo; Wenping Wang; Changhe Tu.
Siggraph Asia 2024 2024
A method for surface offsetting that precisely preserves sharp features by minimizing triangle-based distance fields. We employ tetrahedral space decomposition and maximal-clique formulation to simplify the offset surface complexity while maintaining high geometric fidelity.
Lei Wang; Xudong Wang; Pengfei Wang; Shuangmin Chen; Shiqing Xin; Jiong Guo; Wenping Wang; Changhe Tu.
A method for surface offsetting that precisely preserves sharp features by minimizing triangle-based distance fields. We employ tetrahedral space decomposition and maximal-clique formulation to simplify the offset surface complexity while maintaining high geometric fidelity.

Shiqing Xin; Pengfei Wang; Rui Xu; Dongming Yan; Shuangmin Chen; Wenping Wang; Caiming Zhang; Changhe Tu.
ACM Transactions on Graphics (TOG). Presented at SIGGRAPH Asia 2022 2022
A generalized framework for computing surface-based Voronoi diagrams that utilizes squared-distance fields to approximate arbitrary geodesic metrics, enabling efficient handling of thin-sheet models, curve generators, and constrained boundaries.
Shiqing Xin; Pengfei Wang; Rui Xu; Dongming Yan; Shuangmin Chen; Wenping Wang; Caiming Zhang; Changhe Tu.
A generalized framework for computing surface-based Voronoi diagrams that utilizes squared-distance fields to approximate arbitrary geodesic metrics, enabling efficient handling of thin-sheet models, curve generators, and constrained boundaries.