Erchuan Zhang

About Erchuan Zhang

Erchuan Zhang, With an exceptional h-index of 6 and a recent h-index of 5 (since 2020), a distinguished researcher at Edith Cowan University, specializes in the field of computer vision, geometry analysis, geometry mechanics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-objective Variational Curves

Convergence analysis of leapfrog for geodesics

On the Independence Polynomial and Threshold of an Antiregular -Hypergraph

Finding extremals of Lagrangian actions

Sparse hypergraph community detection thresholds in stochastic block model

Finding geodesics joining given points

Unsupervised learning for maximum consensus robust fitting: A reinforcement learning approach

Maximum consensus by weighted influences of monotone Boolean functions

Erchuan Zhang Information

University

Position

___

Citations(all)

110

Citations(since 2020)

103

Cited By

24

hIndex(all)

6

hIndex(since 2020)

5

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Erchuan Zhang Skills & Research Interests

computer vision

geometry analysis

geometry mechanics

Top articles of Erchuan Zhang

Multi-objective Variational Curves

arXiv e-prints

2023/6

Erchuan Zhang
Erchuan Zhang

H-Index: 3

Convergence analysis of leapfrog for geodesics

SIAM Journal on Numerical Analysis

2023/10/31

Erchuan Zhang
Erchuan Zhang

H-Index: 3

On the Independence Polynomial and Threshold of an Antiregular -Hypergraph

arXiv preprint arXiv:2303.01024

2023/3/2

Erchuan Zhang
Erchuan Zhang

H-Index: 3

Finding extremals of Lagrangian actions

Communications in Nonlinear Science and Numerical Simulation

2023/1/1

Erchuan Zhang
Erchuan Zhang

H-Index: 3

Sparse hypergraph community detection thresholds in stochastic block model

Advances in Neural Information Processing Systems

2022/12/6

Finding geodesics joining given points

Advances in Computational Mathematics

2022/8

Erchuan Zhang
Erchuan Zhang

H-Index: 3

Unsupervised learning for maximum consensus robust fitting: A reinforcement learning approach

IEEE Transactions on Pattern Analysis and Machine Intelligence

2022/5/27

Maximum consensus by weighted influences of monotone Boolean functions

2022

Supplementary Material Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach

2021/3/25

Unsupervised learning for robust fitting: A reinforcement learning approach

2021

Consensus maximisation using influences of monotone boolean functions

2021

Rigid shape registration based on extended hamiltonian learning

Entropy

2020/5/12

Monotone boolean functions, feasibility/infeasibility, lp-type problems and maxcon

arXiv preprint arXiv:2005.05490

2020/5/11

Variation problems for curves

2020/3

Erchuan Zhang
Erchuan Zhang

H-Index: 3

Estimating the regional eco-efficiency in China based on bootstrapping by-production technologies

Journal of cleaner production

2020/1/10

Lin Yang
Lin Yang

H-Index: 51

Erchuan Zhang
Erchuan Zhang

H-Index: 3

Riemannian cubics in quadratic matrix Lie groups

Applied Mathematics and Computation

2020/6/15

Erchuan Zhang
Erchuan Zhang

H-Index: 3

See List of Professors in Erchuan Zhang University(Edith Cowan University)

Co-Authors

academic-engine