Ruibin Feng

Orcid: 0000-0002-0777-8195

According to our database1, Ruibin Feng authored at least 39 papers between 2013 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
Image Classification on Hypersphere Loss.
IEEE Trans. Ind. Informatics, April, 2024

2023
A Globally Stable LPNN Model for Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation.
Proceedings of the Computing in Cardiology, 2023

2022
Atrial fibrillation signatures on intracardiac electrograms identified by deep learning.
Comput. Biol. Medicine, 2022

Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data.
Proceedings of the Computing in Cardiology, 2022

Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels.
Proceedings of the Computing in Cardiology, 2022

2021
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

2020
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2019
Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation.
J. Digit. Imaging, 2019

An ℓ<sub>0</sub>-Norm-Based Centers Selection for Failure Tolerant RBF Networks.
IEEE Access, 2019

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
ADMM-Based Algorithm for Training Fault Tolerant RBF Networks and Selecting Centers.
IEEE Trans. Neural Networks Learn. Syst., 2018

Robustness Analysis on Dual Neural Network-based k WTA With Input Noise.
IEEE Trans. Neural Networks Learn. Syst., 2018

An analog neural network approach for the least absolute shrinkage and selection operator problem.
Neural Comput. Appl., 2018

l0-norm Based Centers Selection for Failure Tolerant RBF Networks.
CoRR, 2018

Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework.
CoRR, 2018

Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization.
Cogn. Comput., 2018

2017
A Regularizer Approach for RBF Networks Under the Concurrent Weight Failure Situation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Lagrange Programming Neural Network for Nondifferentiable Optimization Problems in Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst., 2017

Properties and learning algorithms for faulty RBF networks with coexistence of weight and node failures.
Neurocomputing, 2017

A Lagrange Programming Neural Network Approach for Robust Ellipse Fitting.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Objective Function and Learning Algorithm for the General Node Fault Situation.
IEEE Trans. Neural Networks Learn. Syst., 2016

LCA based RBF training algorithm for the concurrent fault situation.
Neurocomputing, 2016

A Robust TOA Source Localization Algorithm Based on LPNN.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Analysis of the DNN-kWTA Network Model with Drifts in the Offset Voltages of Threshold Logic Units.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
All-Frequency Direct Illumination with Vectorized Visibility.
IEEE Trans. Vis. Comput. Graph., 2015

Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks.
IEEE Trans. Neural Networks Learn. Syst., 2015

Online Training for Open Faulty RBF Networks.
Neural Process. Lett., 2015

GPU Accelerated Self-Organizing Map for High Dimensional Data.
Neural Process. Lett., 2015

Online training and its convergence for faulty networks with multiplicative weight noise.
Neurocomputing, 2015

Lagrange Programming Neural Network for the l_1 -norm Constrained Quadratic Minimization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Realization of Fault Tolerance for Spiking Neural Networks with Particle Swarm Optimization.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network.
Cogn. Comput., 2014

Online Learning for Faulty RBF Networks with the Concurrent Fault.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Tensor Completion Based on Structural Information.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

The Performance of the Stochastic DNN-kWTA Network.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

An analog network approach to train RBF networks based on sparse recovery.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

2013
GPU Accelerated Spherical K-Means Training.
Proceedings of the Neural Information Processing - 20th International Conference, 2013


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