A survey of stochastic computing neural networks for machine learning applications Y Liu, S Liu, Y Wang, F Lombardi, J Han IEEE Transactions on Neural Networks and Learning Systems 32 (7), 2809-2824, 2020 | 192 | 2020 |
Energy efficient stochastic computing with Sobol sequences S Liu, J Han Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 115 | 2017 |
A stochastic computational multi-layer perceptron with backward propagation Y Liu, S Liu, Y Wang, F Lombardi, J Han IEEE Transactions on Computers 67 (9), 1273-1286, 2018 | 112 | 2018 |
Toward energy-efficient stochastic circuits using parallel Sobol sequences S Liu, J Han IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (7 …, 2018 | 89 | 2018 |
Gradient descent using stochastic circuits for efficient training of learning machines S Liu, H Jiang, L Liu, J Han IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018 | 42 | 2018 |
Introduction to dynamic stochastic computing S Liu, WJ Gross, J Han IEEE Circuits and Systems Magazine 20 (3), 19-33, 2020 | 28 | 2020 |
Hardware ODE solvers using stochastic circuits S Liu, J Han Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017 | 14 | 2017 |
Dynamic stochastic computing for digital signal processing applications S Liu, J Han 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 604-609, 2020 | 10 | 2020 |
Special session: Fault-tolerant deep learning: A hierarchical perspective C Liu, Z Gao, S Liu, X Ning, H Li, X Li 2022 IEEE 40th VLSI Test Symposium (VTS), 1-12, 2022 | 9 | 2022 |
Fault-tolerant deep learning: A hierarchical perspective C Liu, Z Gao, S Liu, X Ning, H Li, X Li arXiv preprint arXiv:2204.01942, 2022 | 6 | 2022 |
From Multipliers to Integrators: a Survey of Stochastic Computing Primitives S Liu, JL Rosselló, S Liu, X Tang, J Font-Rosselló, CF Frasser, W Qian, ... IEEE Transactions on Nanotechnology, 2024 | 3 | 2024 |
An energy-efficient binary-interfaced stochastic multiplier using parallel datapaths Y Zhang, S Liu, J Han, Z Lin, S Wang, X Cheng, G Xie IEEE Transactions on Very Large Scale Integration (VLSI) Systems 31 (9 …, 2023 | 3 | 2023 |
Radically uniform spike trains in optically injected quantum cascade oscillators Y Peng, S Liu, V Kovanis, C Wang arXiv preprint arXiv:2304.05902, 2023 | 2 | 2023 |
Delta sigma modulator-based dividers for accurate and low latency stochastic computing systems X Tang, S Liu, F Niknia, Z Wang, S Liu, P Reviriego, F Lombardi IEEE Journal on Emerging and Selected Topics in Circuits and Systems 13 (1 …, 2023 | 2 | 2023 |
A high-performance stochastic simulated bifurcation Ising machine T Zhang, H Zhang, Z Yu, S Liu, J Han Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 1 | 2024 |
QUQ: Quadruplet Uniform Quantization for Efficient Vision Transformer Inference X Geng, S Liu, L Liu, J Han, H Jiang Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 1 | 2024 |
Feature-Embedding Triplet Networks with a Separately Constrained Loss Function Z Wang, F Niknia, S Liu, H Jiang, S Liu, P Reviriego, F Lombardi 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | 1 | 2023 |
ApproxPilot: A GNN-based Accelerator Approximation Framework Q Zhang, C Liu, S Liu, Y Hui, H Li, X Li arXiv preprint arXiv:2407.11324, 2024 | | 2024 |
LDL-SCA: Linearized Deep Learning Side-Channel Attack Targeting Multi-tenant FPGAs✱ Y Zhu, S Liu, L Yang, P Zhou Proceedings of the Great Lakes Symposium on VLSI 2024, 583-587, 2024 | | 2024 |
Can Stochastic Computing Truly Tolerate Bit Flips? Y Wang, Z Ni, S Liu Proceedings of the Great Lakes Symposium on VLSI 2024, 718-723, 2024 | | 2024 |