Bo Zhu

Orcid: 0000-0002-1392-0928

Affiliations:
  • Georgia Institute of Technology, School of Interactive Computing, AT, USA
  • Dartmouth College, Computer Science Department, Hanover, NH, USA (2018-2023)
  • Massachusets Institute of Technology (MIT), CSAIL, Cambridge, MA, USA (2015-2018)
  • Stanford University, CA, USA (PhD 2015)


According to our database1, Bo Zhu authored at least 49 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
GARM-LS: A Gradient-Augmented Reference-Map Method for Level-Set Fluid Simulation.
ACM Trans. Graph., December, 2023

Fluid Simulation on Neural Flow Maps.
ACM Trans. Graph., December, 2023

Impulse Fluid Simulation.
IEEE Trans. Vis. Comput. Graph., June, 2023

Neural Partial Differential Equations with Functional Convolution.
CoRR, 2023

Second-Order Finite Elements for Deformable Surfaces.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Inferring Hybrid Neural Fluid Fields from Videos.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Vortex Dynamics for Fluid Inference and Prediction.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
A clebsch method for free-surface vortical flow simulation.
ACM Trans. Graph., 2022

Position-Based Surface Tension Flow.
ACM Trans. Graph., 2022

Hydrophobic and Hydrophilic Solid-Fluid Interaction.
ACM Trans. Graph., 2022

Fluidic Topology Optimization with an Anisotropic Mixture Model.
ACM Trans. Graph., 2022

A moving eulerian-lagrangian particle method for thin film and foam simulation.
ACM Trans. Graph., 2022

Simulation and optimization of magnetoelastic thin shells.
ACM Trans. Graph., 2022

Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems.
CoRR, 2022

Cellular Topology Optimization on Differentiable Voronoi Diagrams.
CoRR, 2022

Automated Filament Inking for Multi-color FFF 3D Printing.
Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

2021
Clebsch gauge fluid.
ACM Trans. Graph., 2021

Incompressible flow simulation on vortex segment clouds.
ACM Trans. Graph., 2021

Thin-film smoothed particle hydrodynamics fluid.
ACM Trans. Graph., 2021

A material point method for nonlinearly magnetized materials.
ACM Trans. Graph., 2021

Solid-fluid interaction with surface-tension-dominant contact.
ACM Trans. Graph., 2021

Symplectic neural networks in Taylor series form for Hamiltonian systems.
J. Comput. Phys., 2021

Nonseparable Symplectic Neural Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
An adaptive staggered-tilted grid for incompressible flow simulation.
ACM Trans. Graph., 2020

Codimensional surface tension flow using moving-least-squares particles.
ACM Trans. Graph., 2020

A level-set method for magnetic substance simulation.
ACM Trans. Graph., 2020

Functional optimization of fluidic devices with differentiable stokes flow.
ACM Trans. Graph., 2020

Evolutionary Black-Box Topology Optimization: Challenges and Promises.
IEEE Trans. Evol. Comput., 2020

RoeNets: Predicting Discontinuity of Hyperbolic Systems from Continuous Data.
CoRR, 2020

Neural Vortex Method: from Finite Lagrangian Particles to Infinite Dimensional Eulerian Dynamics.
CoRR, 2020

A Hybrid Lagrangian-Eulerian Method for Topology Optimization.
CoRR, 2020

Learning Physical Constraints with Neural Projections.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sparse Symplectically Integrated Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PuzzleFlex: kinematic motion of chains with loose joints.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

AdvectiveNet: An Eulerian-Lagrangian Fluidic Reservoir for Point Cloud Processing.
Proceedings of the 8th International Conference on Learning Representations, 2020

Soft Multicopter Control Using Neural Dynamics Identification.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Learning to fly: computational controller design for hybrid UAVs with reinforcement learning.
ACM Trans. Graph., 2019

2018
Narrow-band topology optimization on a sparsely populated grid.
ACM Trans. Graph., 2018

2017
Two-Scale Topology Optimization with Microstructures.
ACM Trans. Graph., 2017

Interactive design space exploration and optimization for CAD models.
ACM Trans. Graph., 2017

2016
Computational multicopter design.
ACM Trans. Graph., 2016

2015
Codimensional fluid simulation on simplicial complexes.
PhD thesis, 2015

Codimensional non-Newtonian fluids.
ACM Trans. Graph., 2015

A new incompressibility discretization for a hybrid particle MAC grid representation with surface tension.
J. Comput. Phys., 2015

2014
Codimensional surface tension flow on simplicial complexes.
ACM Trans. Graph., 2014

2013
A new grid structure for domain extension.
ACM Trans. Graph., 2013

2011
Sketch-based Dynamic Illustration of Fluid Systems.
ACM Trans. Graph., 2011

2010
Creating and Preserving Vortical Details in SPH Fluid.
Comput. Graph. Forum, 2010

Animating Sand as a Surface Flow.
Proceedings of the 31st Annual Conference of the European Association for Computer Graphics, 2010


  Loading...