Xiao Huang

Orcid: 0000-0002-5670-028X

Affiliations:
  • Beijing Institute of Technology, Beijing, China


According to our database1, Xiao Huang authored at least 12 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Optimization of retinal artery/vein classification based on vascular topology.
Biomed. Signal Process. Control., February, 2024

2023
Joint optic disc and cup segmentation based on elliptical-like morphological feature and spatial geometry constraint.
Comput. Biol. Medicine, May, 2023

2022
A Survey of Brain-Inspired Intelligent Robots: Integration of Vision, Decision, Motion Control, and Musculoskeletal Systems.
IEEE Trans. Cybern., 2022

Multi-Joint Active Collision Avoidance for Robot Based on Depth Visual Perception.
IEEE CAA J. Autom. Sinica, 2022

Bioinspired approach-sensitive neural network for collision detection in cluttered and dynamic backgrounds.
Appl. Soft Comput., 2022

Recurrent Neural Network based Partially Observed Feedback Control of Musculoskeletal Robots.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
Connecting Model-Based and Model-Free Control With Emotion Modulation in Learning Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Computational Modeling of Emotion-Motivated Decisions for Continuous Control of Mobile Robots.
IEEE Trans. Cogn. Dev. Syst., 2021

Triangulate geometric constraint combined with visual-flow fusion network for accurate 6DoF pose estimation.
Image Vis. Comput., 2021

A bioinspired retinal neural network for accurately extracting small-target motion information in cluttered backgrounds.
Image Vis. Comput., 2021

2018
Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation.
IEEE Trans. Cogn. Dev. Syst., 2018

2017
Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017


  Loading...