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2020 – today
- 2024
[j20]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): 6531-6541 (2024)- 2023
- [j19]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): 5218-5226 (2023) - [c17]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: 1-4 - 2022
- [j18]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: 105451 (2022) - [c16]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:
Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels. CinC 2022: 1-4 - [c15]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:
Deep Learning for Ventricular Arrhythmia Prediction Using Fibrosis Segmentations on Cardiac MRI Data. CinC 2022: 1-4 - 2021
- [c14]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: 3-13 - [i5]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 abs/2108.05930 (2021) - 2020
- [c13]Ruibin Feng, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Parts2Whole: Self-supervised Contrastive Learning via Reconstruction. DART/DCL@MICCAI 2020: 85-95
2010 – 2019
- 2019
- [j17]Hao Wang, Zhanglei Shi, Hiu Tung Wong, Chi-Sing Leung, Hing Cheung So, Ruibin Feng:
An ℓ0-Norm-Based Centers Selection for Failure Tolerant RBF Networks. IEEE Access 7: 151902-151914 (2019) - [j16]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): 290-299 (2019) - [c12]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: 191-200 - [c11]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: 384-393 - [i4]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 abs/1908.06912 (2019) - [i3]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 abs/1908.06965 (2019) - 2018
- [j15]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): 23-34 (2018) - [j14]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): 389-400 (2018) - [j13]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): 1082-1094 (2018) - [j12]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): 3870-3878 (2018) - [i2]Hao Wang, Ruibin Feng, Chi-Sing Leung:
Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework. CoRR abs/1805.11949 (2018) - [i1]Hao Wang, Chi-Sing Leung, Hing-Cheung So, Ruibin Feng, Zi-Fa Han:
l0-norm Based Centers Selection for Failure Tolerant RBF Networks. CoRR abs/1805.11987 (2018) - 2017
- [j11]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: 166-176 (2017) - [j10]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): 1360-1372 (2017) - [j9]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): 2395-2407 (2017) - [c10]Hao Wang, Ruibin Feng, Chi-Sing Leung, Hing-Cheung So:
A Lagrange Programming Neural Network Approach for Robust Ellipse Fitting. ICONIP (3) 2017: 686-696 - 2016
- [j8]Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides:
LCA based RBF training algorithm for the concurrent fault situation. Neurocomputing 191: 341-351 (2016) - [j7]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): 863-874 (2016) - [c9]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: 270-278 - [c8]Hao Wang, Ruibin Feng, Chi-Sing Leung:
A Robust TOA Source Localization Algorithm Based on LPNN. ICONIP (1) 2016: 367-375 - 2015
- [j6]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: 53-61 (2015) - [j5]Yi Xiao, Ruibin Feng, Zi-Fa Han, Chi-Sing Leung:
GPU Accelerated Self-Organizing Map for High Dimensional Data. Neural Process. Lett. 41(3): 341-355 (2015) - [j4]Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum:
Online Training for Open Faulty RBF Networks. Neural Process. Lett. 42(2): 397-416 (2015) - [j3]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): 2188-2193 (2015) - [j2]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): 945-958 (2015) - [c7]Ruibin Feng, Chi-Sing Leung, Peter Wai-Ming Tsang:
Realization of Fault Tolerance for Spiking Neural Networks with Particle Swarm Optimization. ICONIP (2) 2015: 79-86 - [c6]Ching Man Lee, Ruibin Feng, Chi-Sing Leung:
Lagrange Programming Neural Network for the l_1 -norm Constrained Quadratic Minimization. ICONIP (3) 2015: 119-126 - 2014
- [j1]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): 293-303 (2014) - [c5]Ruibin Feng, Chi-Sing Leung, Anthony G. Constantinides:
An analog network approach to train RBF networks based on sparse recovery. DSP 2014: 903-908 - [c4]Wai-Yan Wan, Chi-Sing Leung, Zi-Fa Han, Ruibin Feng:
Online Learning for Faulty RBF Networks with the Concurrent Fault. ICONIP (1) 2014: 271-278 - [c3]Ruibin Feng, Chi-Sing Leung, Kai-Tat Ng, John Sum:
The Performance of the Stochastic DNN-kWTA Network. ICONIP (1) 2014: 279-286 - [c2]Zi-Fa Han, Ruibin Feng, Longting Huang, Yi Xiao, Chi-Sing Leung, Hing-Cheung So:
Tensor Completion Based on Structural Information. ICONIP (2) 2014: 479-486 - 2013
- [c1]Yi Xiao, Ruibin Feng, Chi-Sing Leung, Pui-Fai Sum:
GPU Accelerated Spherical K-Means Training. ICONIP (2) 2013: 392-399
Coauthor Index
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