| Design of reliable DNN accelerator with un-reliable ReRAM Y Long, X She, S Mukhopadhyay 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 146 | 2019 |
| Hybridnet: integrating model-based and data-driven learning to predict evolution of dynamical systems Y Long, X She, S Mukhopadhyay Conference on robot learning, 551-560, 2018 | 71 | 2018 |
| A ferroelectric FET-based processing-in-memory architecture for DNN acceleration Y Long, D Kim, E Lee, P Saha, BA Mudassar, X She, AI Khan, ... IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5 …, 2019 | 63 | 2019 |
| A fully spiking hybrid neural network for energy-efficient object detection B Chakraborty, X She, S Mukhopadhyay IEEE Transactions on Image Processing 30, 9014-9029, 2021 | 44 | 2021 |
| Sequence approximation using feedforward spiking neural network for spatiotemporal learning: Theory and optimization methods X She, S Dash, S Mukhopadhyay International Conference on Learning Representations, 2021 | 26 | 2021 |
| Improving robustness of reram-based spiking neural network accelerator with stochastic spike-timing-dependent-plasticity X She, Y Long, S Mukhopadhyay 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 23 | 2019 |
| Fast and low-precision learning in GPU-accelerated spiking neural network X She, Y Long, S Mukhopadhyay 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 450-455, 2019 | 22 | 2019 |
| A Heterogeneous Spiking Neural Network for Unsupervised Learning of Spatiotemporal Patterns X She, S Dash, D Kim, S Mukhopadhyay Frontiers in Neuroscience 14, 1406, 2020 | 21 | 2020 |
| ScieNet: Deep learning with spike-assisted contextual information extraction X She, Y Long, D Kim, S Mukhopadhyay Pattern Recognition 118, 108002, 2021 | 12 | 2021 |
| Processing-in-memory-based on-chip learning with spike-time-dependent plasticity in 65-nm cmos D Kim, X She, NM Rahman, VCK Chekuri, S Mukhopadhyay IEEE Solid-State Circuits Letters 3, 278-281, 2020 | 12 | 2020 |
| Safe-dnn: a deep neural network with spike assisted feature extraction for noise robust inference X She, P Saha, D Kim, Y Long, S Mukhopadhyay 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 8 | 2020 |
| Learning point processes using recurrent graph network S Dash, X She, S Mukhopadhyay 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 6 | 2022 |
| Speed: Spiking neural network with event-driven unsupervised learning and near-real-time inference for event-based vision X She, S Mukhopadhyay IEEE Sensors Journal 21 (18), 20578-20588, 2021 | 6 | 2021 |
| Reliable edge intelligence in unreliable environment M Lee, X She, B Chakraborty, S Dash, B Mudassar, S Mukhopadhyay 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 896-901, 2021 | 6 | 2021 |
| MONETA: A processing-in-memory-based hardware platform for the hybrid convolutional spiking neural network with online learning D Kim, B Chakraborty, X She, E Lee, B Kang, S Mukhopadhyay Frontiers in Neuroscience 16, 775457, 2022 | 5 | 2022 |
| Accelerating biophysical neural network simulation with region of interest based approximation Y Long, X She, S Mukhopadhyay 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 159-164, 2018 | 3 | 2018 |
| Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception B Chakraborty, U Kamal, X She, S Dash, S Mukhopadhyay 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 1 | 2023 |
| Design and optimization of heterogeneous feedforward spiking neural network for spatiotemporal data processing X She Georgia Institute of Technology, 2022 | 1 | 2022 |
| Spin torque nano-oscillator achieved with point contact current injection X She, M Kabir, L Luo, M Stan Bulletin of the American Physical Society 61, 2016 | | 2016 |
Saibal MukhopadhyayProfessor of Electrical Engineering, Georgia Institute of Technology在 ece.gatech.edu 的电子邮件经过验证
