| Exploiting neuron and synapse filter dynamics in spatial temporal learning of deep spiking neural network H Fang, A Shrestha, Z Zhao, Q Qiu arXiv preprint arXiv:2003.02944, 2020 | 57 | 2020 |
| Encoding, model, and architecture: Systematic optimization for spiking neural network in FPGAs H Fang, Z Mei, A Shrestha, Z Zhao, Y Li, Q Qiu Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 55 | 2020 |
| Approximating back-propagation for a biologically plausible local learning rule in spiking neural networks A Shrestha, H Fang, Q Wu, Q Qiu Proceedings of the International Conference on Neuromorphic Systems, 1-8, 2019 | 55 | 2019 |
| Stable spike-timing dependent plasticity rule for multilayer unsupervised and supervised learning A Shrestha, K Ahmed, Y Wang, Q Qiu 2017 international joint conference on neural networks (IJCNN), 1999-2006, 2017 | 51 | 2017 |
| A survey on neuromorphic computing: Models and hardware A Shrestha, H Fang, Z Mei, DP Rider, Q Wu, Q Qiu IEEE Circuits and Systems Magazine 22 (2), 6-35, 2022 | 48 | 2022 |
| Scalable NoC-based neuromorphic hardware learning and inference H Fang, A Shrestha, D Ma, Q Qiu 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 28 | 2018 |
| In-hardware learning of multilayer spiking neural networks on a neuromorphic processor A Shrestha, H Fang, DP Rider, Z Mei, Q Qiu 2021 58th ACM/IEEE Design Automation Conference (DAC), 367-372, 2021 | 25 | 2021 |
| Probabilistic inference using stochastic spiking neural networks on a neurosynaptic processor K Ahmed, A Shrestha, Q Qiu, Q Wu 2016 International Joint Conference on Neural Networks (IJCNN), 4286-4293, 2016 | 23 | 2016 |
| A spike-based long short-term memory on a neurosynaptic processor A Shrestha, K Ahmed, Y Wang, DP Widemann, AT Moody, BC Van Essen, ... 2017 IEEE/ACM international conference on computer-aided design (ICCAD), 631-637, 2017 | 22 | 2017 |
| Multivariate time series classification using spiking neural networks H Fang, A Shrestha, Q Qiu 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 19 | 2020 |
| An event-driven neuromorphic system with biologically plausible temporal dynamics H Fang, A Shrestha, Z Zhao, Y Li, Q Qiu 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019 | 16 | 2019 |
| System design for in-hardware stdp learning and spiking based probablistic inference K Ahmed, A Shrestha, Y Wang, Q Qiu 2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 272-277, 2016 | 10 | 2016 |
| A general framework to map neural networks onto neuromorphic processor H Fang, A Shrestha, Z Zhao, Y Wang, Q Qiu 20th International Symposium on Quality Electronic Design (ISQED), 20-25, 2019 | 9 | 2019 |
| Modular spiking neural circuits for mapping long short-term memory on a neurosynaptic processor A Shrestha, K Ahmed, Y Wang, DP Widemann, AT Moody, BC Van Essen, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018 | 8 | 2018 |
| Simulation of bayesian learning and inference on distributed stochastic spiking neural networks K Ahmed, A Shrestha, Q Qiu 2016 International Joint Conference on Neural Networks (IJCNN), 1044-1051, 2016 | 8 | 2016 |
| Magnet: Multi-region attention-assisted grounding of natural language queries at phrase level A Shrestha, K Pugdeethosapol, H Fang, Q Qiu 2020 25th International Conference on Pattern Recognition (ICPR), 8275-8282, 2021 | 4 | 2021 |
| High-level plan for behavioral robot navigation with natural language directions and r-net A Shrestha, K Pugdeethosapol, H Fang, Q Qiu arXiv preprint arXiv:2001.02330, 2020 | 3 | 2020 |
| 1s1r-based stable learning through single-spike-encoded spike-timing-dependent plasticity B Taylor, A Shrestha, Q Qiu, H Li 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 2 | 2021 |
| Inference and Learning in Spiking Neural Networks for Neuromorphic Systems A Shrestha Syracuse University, 2021 | | 2021 |
