Jianbin Tang
Jianbin Tang
IBM Research Australia
Geverifieerd e-mailadres voor au1.ibm.com
Titel
Geciteerd door
Geciteerd door
Jaar
GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices.
U Asif, J Tang, S Harrer
IJCAI, 4875-4882, 2018
312018
Game-theoretic approach against selfish attacks in cognitive radio networks
M Yan, L Du, L Huang, L Xiao, J Tang
2011 10th IEEE/ACIS International Conference on Computer and Information …, 2011
242011
Publaynet: largest dataset ever for document layout analysis
X Zhong, J Tang, AJ Yepes
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
232019
Wireless IoT platform based on SDR technology
YH Lin, Q Wang, JS Wang, L Shao, J Tang
2013 IEEE International Conference on Green Computing and Communications and …, 2013
182013
A robust low-cost eeg motor imagery-based brain-computer interface
SAC Yohanandan, I Kiral-Kornek, J Tang, BS Mshford, U Asif, S Harrer
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
172018
Machine learning for seizure type classification: setting the benchmark
S Roy, U Asif, J Tang, S Harrer
arXiv preprint arXiv:1902.01012, 2019
142019
SeizureNet: a deep convolutional neural network for accurate seizure type classification and seizure detection
U Asif, S Roy, J Tang, S Harrer
arXiv, 2019
102019
EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks.
U Asif, J Tang, S Harrer
BMVC, 10, 2018
92018
Ensemble knowledge distillation for learning improved and efficient networks
U Asif, J Tang, S Harrer
arXiv preprint arXiv:1909.08097, 2019
72019
Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips
AJ Yepes, J Tang, BS Mashford
arXiv preprint arXiv:1705.07755, 2017
72017
Privacy Preserving Human Fall Detection using Video Data
U Asif, B Mashford, S Von Cavallar, S Yohanandan, S Roy, J Tang, ...
Machine Learning for Health Workshop, 39-51, 2020
62020
Densely supervised grasp detector (DSGD)
U Asif, J Tang, S Harrer
Proceedings of the AAAI Conference on Artificial Intelligence 33, 8085-8093, 2019
52019
Neural-network-based analysis of EEG data using the neuromorphic TrueNorth chip for brain-machine interfaces
BS Mashford, AJ Yepes, I Kiral-Kornek, J Tang, S Harrer
IBM Journal of Research and Development 61 (2/3), 7: 1-7: 6, 2017
52017
SeizureNet: Multi-spectral deep feature learning for seizure type classification
U Asif, S Roy, J Tang, S Harrer
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020
42020
From Wearables to Thinkables-Deep Learning, Nanobiosensors and the Next Generation of Mobile Devices
S Harrer, I Kiral-Kornek, R Kerr, BS Mashford, J Tang, AJ Yepes, ...
White Paper, ICON, 2016
42016
Weighted population code for low power neuromorphic image classification
AJ Yepes, J Tang, S Saxena, T Brosch, A Amir
2016 International Joint Conference on Neural Networks (IJCNN), 4294-4301, 2016
32016
Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips
A Jimeno Yepes, J Tang, BS Mashford
arXiv, arXiv: 1705.07755, 2017
22017
The Deep Learning Epilepsy Detection Challenge: design, implementation, and test of a new crowd-sourced AI challenge ecosystem
I Kiral, S Roy, T Mummert, A Braz, J Tsay, J Tang, U Asif, T Schaffter, ...
Challenges in Machine Learning Competitions for All (CiML) 1 (1), 2019
12019
Automatic scaling for fixed point implementation of deep neural networks
S Harrer, AJJ Yepes, FI Kiral-Kornek, BS Mashford, J Tang
US Patent App. 15/293,954, 2018
12018
Improving energy efficiency and classification accuracy of neuromorphic chips by learning binary synaptic crossbars
AJ Yepes, J Tang
arXiv preprint arXiv:1605.07740, 2016
12016
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Artikelen 1–20