| Pattern classification to optimize the performance of Transcranial Doppler Ultrasonography-based brain machine interface J Lu, KA Mamun, T Chau Pattern Recognition Letters 66, 135-143, 2015 | 22 | 2015 |
| Compressed signal processing on Nyquist-sampled signals J Lu, N Verma, NK Jha IEEE Transactions on Computers 65 (11), 3293-3303, 2016 | 17 | 2016 |
| Online transcranial Doppler ultrasonographic control of an onscreen keyboard J Lu, KA Mamun, T Chau Frontiers in human neuroscience 8, 199, 2014 | 17 | 2014 |
| Convolutional autoencoder-based transfer learning for multi-task image inferences J Lu, N Verma, NK Jha IEEE Transactions on Emerging Topics in Computing 10 (2), 1045-1057, 2021 | 16 | 2021 |
| Genetic programming for energy-efficient and energy-scalable approximate feature computation in embedded inference systems J Lu, H Jia, N Verma, NK Jha IEEE Transactions on Computers 67 (2), 222-236, 2017 | 15 | 2017 |
| A heterogeneous microprocessor for energy-scalable sensor inference using genetic programming H Jia, J Lu, NK Jha, N Yerma 2017 Symposium on VLSI Circuits, C28-C29, 2017 | 7 | 2017 |
| Decoding human brain states using Transcranial Doppler Ultrasonography A Islam, E Ahmed, A Islam, J Lu, F Sarkar, KA Mamun 2015 International Conference on Electrical Engineering and Information …, 2015 | 2 | 2015 |
| Development and evaluation of an online Transcranial Doppler Ultrasonographic brain-computer interface for communication J Lu University of Toronto, 2013 | 1 | 2013 |
| Energy-Efficient Implementation of Machine Learning Algorithms J Lu Princeton University, 2021 | | 2021 |
| Identification of Cognitive States based on Transcranial Doppler Ultrasonography E Ahmed, A Islam, J Lu, KA Mamun | | |
| Transcranial Doppler Ultrasonography: A Non-invasive Approach for Identifying Human Brain States A Islam, E Ahmed, J Lu, KA Mamun | | |
