Ruibin Feng

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 36

Top Topics

Sparse Approximation

Medical Image Analysis

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Hao Wang, Jinpeng Cao, Zhanglei Shi, Chi-Sing Leung, Ruibin Feng, Wenming Cao, Yuxin He
Image Classification on Hypersphere Loss. IEEE Trans. Ind. Informatics 20 (4) (2024)
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
Defining the Predictive Ceiling of Electrogram Features Alone for Predicting Outcomes From Atrial Fibrillation Ablation. CinC (2023)
Hao Wang, Ruibin Feng, Chi-Sing Leung, John Sum, Anthony G. Constantinides
A Globally Stable LPNN Model for Sparse Approximation. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Florence E. Van Lieshout, Roel C. Klein, Maarten Z. Kolk, Kylian Van Geijtenbeek, Romy Vos, Samuel Ruiperez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv Narayan, Erik Bekkers, Bob Vos, Fleur VY Tjong
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data. CinC (2022)
Miguel Rodrigo, Mahmood I. Alhusseini, Albert J. Rogers, Chayakrit Krittanawong, Sumiran Thakur, Ruibin Feng, Prasanth Ganesan, Sanjiv M. Narayan
Atrial fibrillation signatures on intracardiac electrograms identified by deep learning. Comput. Biol. Medicine 145 (2022)
Roel C. Klein, Florence E. van Lieshout, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruiperez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv Narayan, Erik Bekkers, Bob de Vos, Fleur V. Tjong
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels. CinC (2022)
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. DART/FAIR@MICCAI (2021)
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Ruibin Feng, Michael B. Gotway, Jianming Liang
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis. CoRR (2021)
Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. DART/DCL@MICCAI (2020)
Hao Wang, Zhanglei Shi, Hiu Tung Wong, Chi-Sing Leung, Hing Cheung So, Ruibin Feng
-Norm-Based Centers Selection for Failure Tolerant RBF Networks. IEEE Access 7 (2019)
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. CoRR (2019)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. CoRR (2019)
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. ICCV (2019)
Zongwei Zhou, Jae Y. Shin, Ruibin Feng, R. Todd Hurst, Christopher B. Kendall, Jianming Liang
Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation. J. Digit. Imaging 32 (2) (2019)
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis. MICCAI (4) (2019)
Hao Wang, Ruibin Feng, Chi-Sing Leung
Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework. CoRR (2018)
Hao Wang, Ching Man Lee, Ruibin Feng, Chi Sing Leung
An analog neural network approach for the least absolute shrinkage and selection operator problem. Neural Comput. Appl. 29 (9) (2018)
Hao Wang, Ruibin Feng, Andrew Chi-Sing Leung, Kim Fung Tsang
Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization. Cogn. Comput. 10 (1) (2018)
Ruibin Feng, Chi-Sing Leung, John Sum
Robustness Analysis on Dual Neural Network-based k WTA With Input Noise. IEEE Trans. Neural Networks Learn. Syst. 29 (4) (2018)
Hao Wang, Chi-Sing Leung, Hing-Cheung So, Ruibin Feng, Zi-Fa Han
l0-norm Based Centers Selection for Failure Tolerant RBF Networks. CoRR (2018)
Hao Wang, Ruibin Feng, Zi-Fa Han, Chi-Sing Leung
ADMM-Based Algorithm for Training Fault Tolerant RBF Networks and Selecting Centers. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Chi-Sing Leung, Wai-Yan Wan, Ruibin Feng
A Regularizer Approach for RBF Networks Under the Concurrent Weight Failure Situation. IEEE Trans. Neural Networks Learn. Syst. 28 (6) (2017)
Hao Wang, Ruibin Feng, Chi-Sing Leung, Hing-Cheung So
A Lagrange Programming Neural Network Approach for Robust Ellipse Fitting. ICONIP (3) (2017)
Ruibin Feng, Zi-Fa Han, Wai-Yan Wan, Chi-Sing Leung
Properties and learning algorithms for faulty RBF networks with coexistence of weight and node failures. Neurocomputing 224 (2017)
Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides, Wen-Jun Zeng
Lagrange Programming Neural Network for Nondifferentiable Optimization Problems in Sparse Approximation. IEEE Trans. Neural Networks Learn. Syst. 28 (10) (2017)
Yi Xiao, Ruibin Feng, Chi-Sing Leung, John Sum
Objective Function and Learning Algorithm for the General Node Fault Situation. IEEE Trans. Neural Networks Learn. Syst. 27 (4) (2016)
Hao Wang, Ruibin Feng, Chi-Sing Leung
A Robust TOA Source Localization Algorithm Based on LPNN. ICONIP (1) (2016)
Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides
LCA based RBF training algorithm for the concurrent fault situation. Neurocomputing 191 (2016)
Ruibin Feng, Chi-Sing Leung, John Sum
Analysis of the DNN-kWTA Network Model with Drifts in the Offset Voltages of Threshold Logic Units. ICONIP (4) (2016)
Ching Man Lee, Ruibin Feng, Chi-Sing Leung
Lagrange Programming Neural Network for the l_1 -norm Constrained Quadratic Minimization. ICONIP (3) (2015)
Yi Xiao, Ruibin Feng, Zi-Fa Han, Chi-Sing Leung
GPU Accelerated Self-Organizing Map for High Dimensional Data. Neural Process. Lett. 41 (3) (2015)
Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum
Online Training for Open Faulty RBF Networks. Neural Process. Lett. 42 (2) (2015)
Ruibin Feng, Chi-Sing Leung, Peter Wai-Ming Tsang
Realization of Fault Tolerance for Spiking Neural Networks with Particle Swarm Optimization. ICONIP (2) (2015)
Tze-Yui Ho, Yi Xiao, Ruibin Feng, Andrew Chi-Sing Leung, Tien-Tsin Wong
All-Frequency Direct Illumination with Vectorized Visibility. IEEE Trans. Vis. Comput. Graph. 21 (8) (2015)
Ruibin Feng, Chi-Sing Leung, John Sum, Yi Xiao
Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Zi-Fa Han, Ruibin Feng, Wai-Yan Wan, Chi-Sing Leung
Online training and its convergence for faulty networks with multiplicative weight noise. Neurocomputing 155 (2015)
Zi-Fa Han, Ruibin Feng, Longting Huang, Yi Xiao, Chi-Sing Leung, Hing-Cheung So
Tensor Completion Based on Structural Information. ICONIP (2) (2014)
Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides
An analog network approach to train RBF networks based on sparse recovery. DSP (2014)
Ruibin Feng, Yi Xiao, Chi-Sing Leung, Peter W. M. Tsang, John Sum
An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network. Cogn. Comput. 6 (3) (2014)
Wai-Yan Wan, Chi-Sing Leung, Zi-Fa Han, Ruibin Feng
Online Learning for Faulty RBF Networks with the Concurrent Fault. ICONIP (1) (2014)
Ruibin Feng, Chi-Sing Leung, Kai-Tat Ng, John Sum
The Performance of the Stochastic DNN-kWTA Network. ICONIP (1) (2014)
Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum
GPU Accelerated Spherical K-Means Training. ICONIP (2) (2013)