Haozhe Su

According to our database, Haozhe Su authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

DiffHairCard: Auto Hair Card Extraction with Differentiable Rendering.

Zhongtian Zheng, Tao Huang, Haozhe Su, Xueqi Ma, Yuefan Shen, Tongtong Wang, Yin Yang, Xifeng Gao, Zherong Pan, Kui Wu

CoRR, May, 2025

Deep Learning of Transition Probability Densities for Stochastic Asset Models with Applications in Option Pricing.

Haozhe Su, Michael V. Tretyakov, David P. Newton

Manag. Sci., 2025

2024

A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing.

Nathan D. King, Haozhe Su, Mridul Aanjaneya, Steven J. Ruuth, Christopher Batty

ACM Trans. Graph., October, 2024

Measuring cryptocurrency moment convergence using distance analysis.

Eng-Tuck Cheah, Thong Dao, Haozhe Su

Ann. Oper. Res., January, 2024

2023

A Generalized Constitutive Model for Versatile MPM Simulation and Inverse Learning with Differentiable Physics.

Haozhe Su, Xuan Li, Tao Xue, Chenfanfu Jiang, Mridul Aanjaneya

Proc. ACM Comput. Graph. Interact. Tech., August, 2023

A Closest Point Method for Surface PDEs with Interior Boundary Conditions for Geometry Processing.

Nathan D. King, Haozhe Su, Mridul Aanjaneya, Steven J. Ruuth, Christopher Batty

CoRR, 2023

Real-time Height-field Simulation of Sand and Water Mixtures.

Haozhe Su, Siyu Zhang, Zherong Pan, Mridul Aanjaneya, Xifeng Gao, Kui Wu

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

2022

A -ULMPM: An Adaptively Updated Lagrangian Material Point Method for Efficient Physics Simulation without Numerical Fracture.

Haozhe Su, Tao Xue, Chengguizi Han, Mridul Aanjaneya

Comput. Graph. Forum, 2022

2021

A unified second-order accurate in time MPM formulation for simulating viscoelastic liquids with phase change.

Haozhe Su, Tao Xue, Chengguizi Han, Chenfanfu Jiang, Mridul Aanjaneya

ACM Trans. Graph., 2021

A-ULMPM: An Arbitrary Updated Lagrangian Material Point Method for Efficient Simulation of Solids and Fluids.

Haozhe Su, Tao Xue, Chengguizi Han, Mridul Aanjaneya

CoRR, 2021

Option Valuation through Deep Learning of Transition Probability Density.

Haozhe Su, Michael V. Tretyakov, David P. Newton

CoRR, 2021

2020

A novel discretization and numerical solver for non-fourier diffusion.

Tao Xue, Haozhe Su, Chengguizi Han, Chenfanfu Jiang, Mridul Aanjaneya

ACM Trans. Graph., 2020