Jianbin Tang
Jianbin Tang
IBM Research Australia
Verified email at
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
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
Ensemble knowledge distillation for learning improved and efficient networks
U Asif, J Tang, S Harrer
arXiv preprint arXiv:1909.08097, 2019
Seizure detection using wearable sensors and machine learning: Setting a benchmark
J Tang, R El Atrache, S Yu, U Asif, M Jackson, S Roy, M Mirmomeni, ...
Epilepsia 62 (8), 1807-1819, 2021
Seizure type classification using EEG signals and machine learning: Setting a benchmark
S Roy, U Asif, J Tang, S Harrer
2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-6, 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
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
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
Machine learning for seizure type classification: setting the benchmark
S Roy, U Asif, J Tang, S Harrer
arXiv preprint arXiv:1902.01012, 36, 2019
EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks.
U Asif, J Tang, S Harrer
BMVC 10, 1-12, 2018
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
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
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
Sshfd: Single shot human fall detection with occluded joints resilience
U Asif, S Von Cavallar, J Tang, S Harrer
arXiv preprint arXiv:2004.00797, 2020
Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips
AJ Yepes, J Tang, BS Mashford
arXiv preprint arXiv:1705.07755, 2017
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
Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data
S Roy, I Kiral, M Mirmomeni, T Mummert, A Braz, J Tsay, J Tang, U Asif, ...
EBioMedicine 66, 2021
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
Features importance in seizure classification using scalp EEG reduced to single timeseries
S Naze, J Tang, JR Kozloski, S Harrer
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
The system can't perform the operation now. Try again later.
Articles 1–20