| 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 | 152 | 2020 |
| Energy efficient stochastic computing with Sobol sequences S Liu, J Han Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017 | 106 | 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 | 103 | 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 | 72 | 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 | 36 | 2018 |
| Introduction to dynamic stochastic computing S Liu, WJ Gross, J Han IEEE Circuits and Systems Magazine 20 (3), 19-33, 2020 | 21 | 2020 |
| Hardware ODE solvers using stochastic circuits S Liu, J Han Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017 | 12 | 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 | 9 | 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 | 7 | 2022 |
| 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 |
| 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 | 2 | 2022 |
| 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, 2023 | 1 | 2023 |
| 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 | | 2024 |
| Characterizing Stochastic Number Generators for Accurate Stochastic Computing Y Gong, H Shi, S Liu Design and Applications of Emerging Computer Systems, 331-349, 2023 | | 2023 |
| 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 | | 2023 |
| HSB-GDM: a Hybrid Stochastic-Binary Circuit for Gradient Descent with Momentum in the Training of Neural Networks H Li, H Shi, H Jiang, S Liu Proceedings of the 17th ACM International Symposium on Nanoscale …, 2022 | | 2022 |
| Toward Energy-Efficient, Dynamic Stochastic Computing S Liu | | 2019 |
Jie HanUniversities of Alberta, Florida, Delft and TsinghuaDirección de correo verificada de ualberta.ca
