Ruibin Feng

45 papers A* 1Journal 27Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reducing diverse sources of noise in ventricular electrical signals using variational autoencoders.
Expert Syst. Appl.
Samuel Ruipérez-Campillo, Alain Ryser, Thomas M. Sutter, Brototo Deb, Ruibin Feng, Prasanth Ganesan, Kelly A. Brennan, Albert J. Rogers, Maarten Z. Kolk, Fleur V. Y. Tjong, Sanjiv M. Narayan, Julia E. Vogt
2025 J jnl
A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy.
CoRR
Samuel Ruipérez-Campillo, Alain Ryser, Thomas M. Sutter, Ruibin Feng, Prasanth Ganesan, Brototo Deb, Kelly A. Brennan, Maxime Pedron, Albert J. Rogers, Maarten Z. Kolk, Fleur V. Y. Tjong, Sanjiv M. Narayan, Julia E. Vogt
2024 — conf
Can Generative AI Learn Physiological Waveform Morphologies? A Study on Denoising Intracardiac Signals in Ischemic Cardiomyopathy.
EMBC
Samuel Ruipérez-Campillo, Alain Ryser, Thomas M. Sutter, Ruibin Feng, Prasanth Ganesan, Brototo Deb, Kelly A. Brennan, Maarten Z. Kolk, Fleur V. Y. Tjong, Albert J. Rogers, Sanjiv M. Narayan, Julia E. Vogt
2024 J jnl
Image Classification on Hypersphere Loss.
IEEE Trans. Ind. Informatics
Hao Wang, Jinpeng Cao, Zhanglei Shi, Chi-Sing Leung, Ruibin Feng, Wenming Cao, Yuxin He
2023 J jnl
A Globally Stable LPNN Model for Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst.
Hao Wang, Ruibin Feng, Chi-Sing Leung, John Sum, Anthony G. Constantinides
2023 — conf
Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation.
CinC
Maxime Pedron, Prasanth Ganesan, Ruibin Feng, Brototo Deb, Hui Chang, Samuel Ruipérez-Campillo, Sulaiman Somani, Yaanik Desai, Albert J. Rogers, Paul Clopton, Sanjiv M. Narayan
2022 J jnl
Atrial fibrillation signatures on intracardiac electrograms identified by deep learning.
Comput. Biol. Medicine
Miguel Rodrigo, Mahmood I. Alhusseini, Albert J. Rogers, Chayakrit Krittanawong, Sumiran Thakur, Ruibin Feng, Prasanth Ganesan, Sanjiv M. Narayan
2022 — conf
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data.
CinC
Florence E. van Lieshout, Roel C. Klein, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruipérez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik J. Bekkers, Bob D. de Vos, Fleur V. Y. Tjong
2022 — conf
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels.
CinC
Roel C. Klein, Florence E. van Lieshout, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruipérez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv M. Narayan, Erik J. Bekkers, Bob D. de Vos, Fleur V. Y. Tjong
2021 — conf
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis.
DART/FAIR@MICCAI
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
2021 J jnl
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis.
CoRR
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
2020 — conf
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction.
DART/DCL@MICCAI
Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang
2019 J jnl
An ℓ
IEEE Access
Hao Wang, Zhanglei Shi, Hiu Tung Wong, Chi-Sing Leung, Hing Cheung So, Ruibin Feng
2019 J jnl
Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation.
J. Digit. Imaging
Zongwei Zhou, Jae Y. Shin, Ruibin Feng, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
2019 A* conf
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization.
ICCV
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
2019 J jnl
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization.
CoRR
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
2019 — conf
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis.
MICCAI (4)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
2019 J jnl
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis.
CoRR
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
2018 J jnl
ADMM-Based Algorithm for Training Fault Tolerant RBF Networks and Selecting Centers.
IEEE Trans. Neural Networks Learn. Syst.
Hao Wang, Ruibin Feng, Zi-Fa Han, Chi-Sing Leung
2018 J jnl
An analog neural network approach for the least absolute shrinkage and selection operator problem.
Neural Comput. Appl.
Hao Wang, Ching Man Lee, Ruibin Feng, Chi Sing Leung
2018 J jnl
Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework.
CoRR
Hao Wang, Ruibin Feng, Chi-Sing Leung
2018 J jnl
Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization.
Cogn. Comput.
Hao Wang, Ruibin Feng, Andrew Chi-Sing Leung, Kim Fung Tsang
2018 J jnl
Robustness Analysis on Dual Neural Network-based k WTA With Input Noise.
IEEE Trans. Neural Networks Learn. Syst.
Ruibin Feng, Chi-Sing Leung, John Sum
2018 J jnl
l0-norm Based Centers Selection for Failure Tolerant RBF Networks.
CoRR
Hao Wang, Chi-Sing Leung, Hing-Cheung So, Ruibin Feng, Zi-Fa Han
2017 — conf
A Lagrange Programming Neural Network Approach for Robust Ellipse Fitting.
ICONIP (3)
Hao Wang, Ruibin Feng, Chi-Sing Leung, Hing-Cheung So
2017 J jnl
A Regularizer Approach for RBF Networks Under the Concurrent Weight Failure Situation.
IEEE Trans. Neural Networks Learn. Syst.
Chi-Sing Leung, Wai-Yan Wan, Ruibin Feng
2017 J jnl
Lagrange Programming Neural Network for Nondifferentiable Optimization Problems in Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst.
Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides, Wen-Jun Zeng
2017 J jnl
Properties and learning algorithms for faulty RBF networks with coexistence of weight and node failures.
Neurocomputing
Ruibin Feng, Zi-Fa Han, Wai-Yan Wan, Chi-Sing Leung
2016 — conf
A Robust TOA Source Localization Algorithm Based on LPNN.
ICONIP (1)
Hao Wang, Ruibin Feng, Chi-Sing Leung
2016 — conf
Analysis of the DNN-kWTA Network Model with Drifts in the Offset Voltages of Threshold Logic Units.
ICONIP (4)
Ruibin Feng, Chi-Sing Leung, John Sum
2016 J jnl
LCA based RBF training algorithm for the concurrent fault situation.
Neurocomputing
Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides
2016 J jnl
Objective Function and Learning Algorithm for the General Node Fault Situation.
IEEE Trans. Neural Networks Learn. Syst.
Yi Xiao, Ruibin Feng, Chi-Sing Leung, John Sum
2015 J jnl
All-Frequency Direct Illumination with Vectorized Visibility.
IEEE Trans. Vis. Comput. Graph.
Tze-Yui Ho, Yi Xiao, Ruibin Feng, Andrew Chi-Sing Leung, Tien-Tsin Wong
2015 J jnl
GPU Accelerated Self-Organizing Map for High Dimensional Data.
Neural Process. Lett.
Yi Xiao, Ruibin Feng, Zi-Fa Han, Chi-Sing Leung
2015 — conf
Lagrange Programming Neural Network for the l_1 -norm Constrained Quadratic Minimization.
ICONIP (3)
Ching Man Lee, Ruibin Feng, Chi-Sing Leung
2015 J jnl
Online Training for Open Faulty RBF Networks.
Neural Process. Lett.
Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum
2015 J jnl
Online training and its convergence for faulty networks with multiplicative weight noise.
Neurocomputing
Zi-Fa Han, Ruibin Feng, Wai-Yan Wan, Chi-Sing Leung
2015 J jnl
Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks.
IEEE Trans. Neural Networks Learn. Syst.
Ruibin Feng, Chi-Sing Leung, John Sum, Yi Xiao
2015 — conf
Realization of Fault Tolerance for Spiking Neural Networks with Particle Swarm Optimization.
ICONIP (2)
Ruibin Feng, Chi-Sing Leung, Peter Wai-Ming Tsang
2014 J jnl
An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network.
Cogn. Comput.
Ruibin Feng, Yi Xiao, Chi-Sing Leung, Peter W. M. Tsang, John Sum
2014 — conf
An analog network approach to train RBF networks based on sparse recovery.
DSP
Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides
2014 — conf
Online Learning for Faulty RBF Networks with the Concurrent Fault.
ICONIP (1)
Wai-Yan Wan, Chi-Sing Leung, Zi-Fa Han, Ruibin Feng
2014 — conf
Tensor Completion Based on Structural Information.
ICONIP (2)
Zi-Fa Han, Ruibin Feng, Longting Huang, Yi Xiao, Chi-Sing Leung, Hing-Cheung So
2014 — conf
The Performance of the Stochastic DNN-kWTA Network.
ICONIP (1)
Ruibin Feng, Chi-Sing Leung, Kai-Tat Ng, John Sum
2013 — conf
GPU Accelerated Spherical K-Means Training.
ICONIP (2)
Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum