| Edge-host partitioning of deep neural networks with feature space encoding for resource-constrained internet-of-things platforms JH Ko, T Na, MF Amir, S Mukhopadhyay 2018 15th IEEE International Conference on Advanced Video and Signal Based ・, 2018 | 109 | 2018 |
| Cascade Adversarial Machine Learning Regularized with a Unified Embedding T Na, JH Ko, S Mukhopadhyay International Conference on Learning Representations (ICLR), 2017 | 101 | 2017 |
| Design of an energy-efficient accelerator for training of convolutional neural networks using frequency-domain computation JH Ko, B Mudassar, T Na, S Mukhopadhyay Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017 | 50 | 2017 |
| Energy efficient and side-channel secure cryptographic hardware for IoT-edge nodes A Singh, N Chawla, JH Ko, M Kar, S Mukhopadhyay IEEE Internet of Things Journal 6 (1), 421-434, 2018 | 43 | 2018 |
| Adaptive Weight Compression for Memory-Efficient Neural Networks JH Ko, D Kim, T Na, J Kung, Saibal Mukhopadhyay Design, Automation, and Test in Europe (DATE 2017), 2017 | 39 | 2017 |
| On-Chip Training of Recurrent Neural Networks with Limited Numerical Precision T Na, JH Ko, J Kung, S Mukhopadhyay International Joint Conference on Neural Networks (IJCNN 2017), 2017 | 38 | 2017 |
| Exploring power attack protection of resource constrained encryption engines using integrated low-drop-out regulators A Singh, M Kar, JH Ko, S Mukhopadhyay 2015 IEEE/ACM International Symposium on Low Power Electronics and Design ・, 2015 | 33 | 2015 |
| 3-D stacked image sensor with deep neural network computation MF Amir, JH Ko, T Na, D Kim, S Mukhopadhyay IEEE Sensors Journal 18 (10), 4187-4199, 2018 | 32 | 2018 |
| Edge-cloud collaborative processing for intelligent internet of things: A case study on smart surveillance BA Mudassar, JH Ko, S Mukhopadhyay Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 31 | 2018 |
| An energy-efficient wireless video sensor node for moving object surveillance JH Ko, BA Mudassar, S Mukhopadhyay IEEE Transactions on Multi-Scale Computing Systems 1 (1), 7-18, 2015 | 28 | 2015 |
| Taesik Na, Mohammad Faisal Amir, and Saibal Mukhopadhyay. 2018. Edge-host partitioning of deep neural networks with feature space encoding for resource-constrained internet-of ・ JH Ko IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018 | 20 | 2018 |
| Precision scaling of neural networks for efficient audio processing JH Ko, J Fromm, M Philipose, I Tashev, S Zarar arXiv preprint arXiv:1712.01340, 2017 | 19 | 2017 |
| A single-chip image sensor node with energy harvesting from a CMOS pixel array JH Ko, MF Amir, KZ Ahmed, T Na, S Mukhopadhyay IEEE Transactions on Circuits and Systems I: Regular Papers 64 (9), 2295-2307, 2017 | 18 | 2017 |
| Camel: An adaptive camera with embedded machine learning-based sensor parameter control BA Mudassar, P Saha, Y Long, MF Amir, E Gebhardt, T Na, JH Ko, M Wolf, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (3 ・, 2019 | 16 | 2019 |
| Binary-classifiers-enabled filters for semi-supervised learning T Kumar, J Park, MS Ali, AFMS Uddin, JH Ko, SH Bae IEEE Access 9, 167663-167673, 2021 | 13 | 2021 |
| A charge-domain scalable-weight in-memory computing macro with dual-SRAM architecture for precision-scalable DNN accelerators E Lee, T Han, D Seo, G Shin, J Kim, S Kim, S Jeong, J Rhe, J Park, JH Ko, ... IEEE Transactions on Circuits and Systems I: Regular Papers 68 (8), 3305-3316, 2021 | 13 | 2021 |
| Mixture of pre-processing experts model for noise robust deep learning on resource constrained platforms T Na, M Lee, BA Mudassar, P Saha, JH Ko, S Mukhopadhyay 2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019 | 13 | 2019 |
| Limiting numerical precision of neural networks to achieve real-time voice activity detection JH Ko, J Fromm, M Philipose, I Tashev, S Zarar 2018 IEEE International Conference on Acoustics, Speech and Signal ・, 2018 | 13 | 2018 |
| Taesik Na, and Saibal Mukhopadhyay. Design of an energy-efficient accelerator for training of convolutional neural networks using frequency-domain computation JH Ko, B Mudassar Proceedings of the 54th Annual Design Automation Conference, 59, 2017 | 13 | 2017 |
| Design and analysis of a neural network inference engine based on adaptive weight compression JH Ko, D Kim, T Na, S Mukhopadhyay IEEE Transactions on Computer-Aided Design of Integrated Circuits and ・, 2018 | 12 | 2018 |
Saibal MukhopadhyayProfessor of Electrical Engineering, Georgia Institute of TechnologyVerified email at ece.gatech.edu
