| An Always-On 3.8 J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS D Bankman, L Yang, B Moons, M Verhelst, B Murmann IEEE Journal of Solid-State Circuits 54 (1), 158-172, 2018 | 256 | 2018 |
| BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS B Moons, D Bankman, L Yang, B Murmann, M Verhelst 2018 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2018 | 100 | 2018 |
| Silicon Integrated 280 GHz Imaging Chipset With 44 SiGe Receiver Array and CMOS Source K Sengupta, D Seo, L Yang, A Hajimiri IEEE Transactions on Terahertz Science and Technology 5 (3), 427-437, 2015 | 89 | 2015 |
| SRAM voltage scaling for energy-efficient convolutional neural networks L Yang, B Murmann 2017 18th International Symposium on Quality Electronic Design (ISQED), 7-12, 2017 | 58 | 2017 |
| Mixed-signal circuits for embedded machine-learning applications B Murmann, D Bankman, E Chai, D Miyashita, L Yang 2015 49th Asilomar conference on signals, systems and computers, 1341-1345, 2015 | 54 | 2015 |
| Pushing the limits of narrow precision inferencing at cloud scale with microsoft floating point B Darvish Rouhani, D Lo, R Zhao, M Liu, J Fowers, K Ovtcharov, ... Advances in neural information processing systems 33, 10271-10281, 2020 | 43 | 2020 |
| Bit error tolerance of a CIFAR-10 binarized convolutional neural network processor L Yang, D Bankman, B Moons, M Verhelst, B Murmann 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 38 | 2018 |
| Approximate SRAM for energy-efficient, privacy-preserving convolutional neural networks L Yang, B Murmann 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 689-694, 2017 | 27 | 2017 |
| TRIG: Hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs G Hills, D Bankman, B Moons, L Yang, J Hillard, A Kahng, R Park, ... Proceedings of the 55th Annual Design Automation Conference, 1-10, 2018 | 9 | 2018 |
| Cognitive computation and communication: A complement solution to cloud for IoT N Nguyen-Thanh, L Yang, DHN Nguyen, C Jabbour, B Murmann 2016 International Conference on Advanced Technologies for Communications …, 2016 | 9 | 2016 |
| Electrical Interconnect Energy Overhead L Yang Growth, 2015 | 2 | 2015 |
| Low Level Radiation on Human Health L Yang Physics, 0 | 1 | |
| Three-Dimensional Stacked Neural Network Accelerator Architectures for AR/VR Applications L Yang, RM Radway, YH Chen, TF Wu, H Liu, E Ansari, V Chandra, ... IEEE Micro 42 (6), 116-124, 2022 | | 2022 |
| Approximate Memory for Energy-Efficient Machine Learning L Yang Stanford University, 2018 | | 2018 |
| On Stochastic Optimization Techniques B Jun, L Yang, Q Liu | | |
Boris MurmannStanford UniversityVerified email at stanford.edu
