Jianbin Tang  Jianbin Tang photo         

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People Manager, Technical Leader
IBM Research Australia



Seizure Detection using Wearable Sensors and Machine Learning: Setting a Benchmark
Jianbin Tang, Rima El Atrache, Umar Asif, Michele Jackson, Subhrajit Roy, Theodore Sheehan, Mahtab Mirmomeni, Claire Ufongene, Sarah Schubach, Solveig Vieluf, Christian Meisel, Stefan Harrer, Tobias Loddenkemper
AES 2020

Seizure type classification using EEG signals and machine learning: Setting a benchmark
Subhrajit Roy, Umar Asif, Jianbin Tang, Stefan Harrer
IEEE Signal Processing in Medicine and Biology Symposium, 2020

SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience
Umar Asif, Stefan Von Cavallar, Jianbin Tang, Stefan Harre
ECAI, 2020

SeizureNet: Multi-spectral deep feature learning for seizure type classification
Umar Asif, Subhrajit Roy, Jianbin Tang, Stefan Harrer
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, pp. 77--87, Springer, Cham, 2020

Privacy preserving human fall detection using video data
Umar Asif, Benjamin Mashford, Stefan Von Cavallar, Shivanthan Yohanandan, Subhrajit Roy, Jianbin Tang, Stefan Harrer
Machine Learning for Health Workshop, pp. 39--51, 2020


The Deep Learning Epilepsy Detection Challenge: design, implementation, and test of a new crowd-sourced AI challenge ecosystem
Isabell Kiral, Subhrajit Roy, Todd Mummert, Alan Braz, Jason Tsay, Jianbin Tang, Umar Asif, Thomas Schaffter, Eren Mehmet, Joseph Picone, others
Challenges in Machine Learning Competitions for All (CiML) 1(1), 2019

Ensemble knowledge distillation for learning improved and efficient networks
Umar Asif, Jianbin Tang, Stefan Harrer
arXiv preprint arXiv:1909.08097, 2019

Publaynet: largest dataset ever for document layout analysis
Xu Zhong, Jianbin Tang, Antonio Jimeno Yepes
2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 1015--1022

SeizureNet: a deep convolutional neural network for accurate seizure type classification and seizure detection
Umar Asif, Subhrajit Roy, Jianbin Tang, Stefan Harrer
arXiv preprint arXiv:1903.03232, 2019

Densely supervised grasp detector (DSGD)
Umar Asif, Jianbin Tang, Stefan Harrer
Proceedings of the AAAI Conference on Artificial Intelligence, pp. 8085--8093, 2019


A robust low-cost eeg motor imagery-based brain-computer interface
Shivanthan AC Yohanandan, Isabell Kiral-Kornek, Jianbin Tang, Benjamin S Mshford, Umar Asif, Stefan Harrer
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5089--5092

EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks.
Umar Asif, Jianbin Tang, Stefan Harrer
BMVC, pp. 10, 2018

GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices.
Umar Asif, Jianbin Tang, Stefan Harrer
IJCAI, pp. 4875--4882, 2018

Semantic Labeling Using a Low-Power Neuromorphic Platform
Jianbin Tang, Benjamin Scott Mashford, Antonio Jimeno Yepes
IEEE Geoscience and Remote Sensing Letters 15(8), 1184--1188, IEEE, 2018


Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips
Antonio Jimeno Yepes, Jianbin Tang, Benjamin Scott Mashford
IJCAI, 1973-1979, 2017

Neural-network-based analysis of EEG data using the neuromorphic TrueNorth chip for brain-machine interfaces
Benjamin S Mashford, A Jimeno Yepes, Isabell Kiral-Kornek, Jianbin Tang, Stefan Harrer
IBM Journal of Research and Development 61(2/3), 7--1, IBM, 2017


From Wearables to Thinkables-Deep Learning, Nanobiosensors and the Next Generation of Mobile Devices
Stefan Harrer, Isabell Kiral-Kornek, Robert Kerr, Benjamin S Mashford, Jianbin Tang, Antonio Jimeno Yepes, H Deligianni
White Paper, ICON, 2016

Weighted population code for low power neuromorphic image classification
Antonio Jimeno Yepes, Jianbin Tang, Shreya Saxena, Tobias Brosch, Arnon Amir
2016 International Joint Conference on Neural Networks (IJCNN), pp. 4294--4301


Wireless IoT platform based on SDR technology
Yong Hua Lin, Qing Wang, Jun Song Wang, Ling Shao, Jianbin Tang
2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, pp. 2245--2246


Game-theoretic approach against selfish attacks in cognitive radio networks
Mi Yan, Liang Du, Lianfen Huang, Liang Xiao, Jianbin Tang
2011 10th IEEE/ACIS International Conference on Computer and Information Science, pp. 58--61

Year Unknown

Evaluation of Combined Artificial Intelligence and Neurologist Assessment to Annotate Scalp Electroencephalography Data
Subhrajit Roy, Isabell Kiral-Kornek, Mahtab Mirmomeni, Todd Mummert, Alan Braz, Jason Tsai, Jianbin Tang, Umar Asif, Thomas Schaffter, Mehmet Eren Ahsen10, others