Jianbin Tang
Jianbin Tang
IBM Research Australia
Verified email at au1.ibm.com
Cited by
Cited by
Publaynet: largest dataset ever for document layout analysis
X Zhong, J Tang, AJ Yepes
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices.
U Asif, J Tang, S Harrer
IJCAI 7, 4875-4882, 2018
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
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
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
Machine learning for seizure type classification: setting the benchmark
S Roy, U Asif, J Tang, S Harrer
arXiv preprint arXiv:1902.01012, 2019
Ensemble knowledge distillation for learning improved and efficient networks
U Asif, J Tang, S Harrer
arXiv preprint arXiv:1909.08097, 2019
SeizureNet: a deep convolutional neural network for accurate seizure type classification and seizure detection
U Asif, S Roy, J Tang, S Harrer
arXiv preprint arXiv:1903.03232, 2019
EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks.
U Asif, J Tang, S Harrer
BMVC, 10, 2018
Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips
AJ Yepes, J Tang, BS Mashford
arXiv preprint arXiv:1705.07755, 2017
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
Densely supervised grasp detector (DSGD)
U Asif, J Tang, S Harrer
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 8085-8093, 2019
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
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
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
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
Evaluation of combined artificial intelligence and neurologist assessment to annotate scalp electroencephalography data
S Roy, I Kiral-Kornek, M Mirmomeni, T Mummert, A Braz, J Tsai, J Tang, ...
EBioMedicine, 2021
SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience
U Asif, S Von Cavallar, J Tang, S Harre
arXiv preprint arXiv:2004.00797, 2020
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
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
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