Hongkai Zhao

Probabilistic & Bayesian Methods · 1996–2018

A researcher in the Science corpus: 7 papers; trusts 25 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 13 citations into it
• Statistics and Probability — 12 citations into it
• Computational Mechanics — 11 citations into it; #1,654 of 10,001 by trust here, #2,252 by citations
• Computational Theory and Mathematics — 6 citations into it; #426 of 12,182 by trust here, #3,117 by citations
• Computer Graphics and Computer-Aided Design — 6 citations into it; #326 of 1,584 by trust here, #646 by citations

Whom Hongkai Zhao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stanley J. Osher
2. Chiu Yen Kao
3. Yen-Hsi Richard Tsai
4. Nina Amenta
5. Brian Curless
6. James A. Sethian
7. Jean-Daniel Boissonnat
8. William E. Lorensen
9. Chandrajit L. Bajaj
10. Hugues Hoppe

Who trusts Hongkai Zhao overall

1. Stanley J. Osher
2. Tony F. Chan
3. M. I. M. Sabry Hassouna
4. Natarajan Sukumar
5. Yongning Zhu
6. Nikos Paragios
7. Shingyu Leung
8. Liron Yatziv
9. Mark W. Jones
10. Tom Goldstein

Papers from Hongkai Zhao's perspective

Ordered by how strongly the researchers Hongkai Zhao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Ordered upwind methods for static Hamilton–Jacobi equations (Proceedings of the National Academy of Sciences of the United States of America)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Marching cubes: A high resolution 3D surface construction algorithm
5. Bayesian Learning via Stochastic Gradient Langevin Dynamics
6. Automatic reconstruction of surfaces and scalar fields from 3D scans
7. Fast Sweeping Algorithms for a Class of Hamilton-Jacobi Equations (SIAM Journal on Numerical Analysis)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Fast methods for the Eikonal and related Hamilton- Jacobi equations on unstructured meshes. (Proceedings of the National Academy of Sciences of the United States of America)
10. Smooth surface reconstruction via natural neighbour interpolation of distance functions (SCG '00)

Their papers

• A fast sweeping method for Eikonal equations (2004) — 1,155 citations
• Fast Sweeping Algorithms for a Class of Hamilton-Jacobi Equations (2003) — 490 citations
• Approximate Separability of the Green's Function of the Helmholtz Equation in the High Frequency Limit (2018) — 53 citations
• Hamiltonian Monte Carlo Acceleration Using Neural Network Surrogate functions (2015) — 7 citations
• Fast surface reconstruction using the level set method (2001) — 493 citations
• Implicit and Nonparametric Shape Reconstruction from Unorganized Data Using a Variational Level Set Method (2000) — 320 citations
• A Variational Level Set Approach to Multiphase Motion (1996)