| UGEMM: Unary computing architecture for GEMM applications D Wu, J Li, R Yin, H Hsiao, Y Kim, J San Miguel International Symposium on Computer Architecture (ISCA) 2020, 377-390, 2020 | 43 | 2020 |
| Exploring lottery ticket hypothesis in spiking neural networks Y Kim, Y Li, H Park, Y Venkatesha, R Yin, P Panda European Conference on Computer Vision (ECCV) 2022, 102-120, 2022 | 38* | 2022 |
| SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks R Yin, A Moitra, A Bhattacharjee, Y Kim, P Panda IEEE transactions on computer-aided design of integrated circuits and …, 2022 | 30 | 2022 |
| In-stream correlation-based division and bit-inserting square root in stochastic computing D Wu, R Yin, J San Miguel IEEE Design & Test 38 (6), 53-59, 2021 | 9 | 2021 |
| MINT: Multiplier-less Integer Quantization for Energy Efficient Spiking Neural Networks R Yin, Y Li, A Moitra, P Panda Asia and South Pacific Design Automation Conference (ASPDAC) 2024, 830 - 835, 2024 | 8* | 2024 |
| Workload-balanced pruning for sparse spiking neural networks R Yin, Y Kim, Y Li, A Moitra, N Satpute, A Hambitzer, P Panda arXiv preprint arXiv:2302.06746, 2023 | 8 | 2023 |
| uGEMM: Unary computing for GEMM applications D Wu, J Li, R Yin, H Hsiao, Y Kim, J San Miguel IEEE Micro 41 (3), 50-56, 2021 | 8 | 2021 |
| Normalized stability: A cross-level design metric for early termination in stochastic computing D Wu, R Yin, JS Miguel Asia and South Pacific Design Automation Conference (ASPDAC) 2021, 254-259, 2021 | 8 | 2021 |
| Efficient human activity recognition with spatio-temporal spiking neural networks Y Li, R Yin, Y Kim, P Panda Frontiers in Neuroscience 17, 1233037, 2023 | 6* | 2023 |
| Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks Y Kim, Y Li, A Moitra, R Yin, P Panda Frontiers in Neuroscience, 2023 | 4 | 2023 |
| TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training D Lee, R Yin, Y Kim, A Moitra, Y Li, P Panda arXiv preprint arXiv:2401.08001, 2024 | 1 | 2024 |
| Are SNNs Truly Energy-efficient? A Hardware Perspective A Bhattacharjee*, R Yin*, A Moitra*, P Panda arXiv preprint arXiv:2309.03388, 2023 | 1 | 2023 |
| Rethinking skip connections in Spiking Neural Networks with Time-To-First-Spike coding Y Kim, A Kahana, R Yin, Y Li, P Stinis, GE Karniadakis, P Panda Frontiers in Neuroscience 18, 1346805, 2024 | | 2024 |
| Energy-efficient Hardware Design for Spiking Neural Networks A Moitra, R Yin, P Panda 2023 57th Asilomar Conference on Signals, Systems, and Computers, 543-544, 2023 | | 2023 |
| Hardware Accelerators for Spiking Neural Networks for Energy-Efficient Edge Computing A Moitra, R Yin, P Panda Proceedings of the Great Lakes Symposium on VLSI 2023, 137-138, 2023 | | 2023 |
Priyadarshini (Priya) PandaAssistant Professor, Electrical Engineering, Yale University在 yale.edu 的电子邮件经过验证
