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ORCIDLita Yang
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2020 – today
- 2024
[c9]Tony F. Wu, Huichu Liu, Huseyin Ekin Sumbul, Lita Yang, Dipti Baheti, Jeremy Coriell, William Koven, Anu Krishnan, Mohit Mittal, Matheus Trevisan Moreira, Max Waugaman, Laurent Ye, Edith Beigné:
11.2 A 3D integrated Prototype System-on-Chip for Augmented Reality Applications Using Face-to-Face Wafer Bonded 7nm Logic at <2μm Pitch with up to 40% Energy Reduction at Iso-Area Footprint. ISSCC 2024: 210-212- 2022
- [j2]Lita Yang
, Robert M. Radway, Yu-Hsin Chen, Tony F. Wu, Huichu Liu, Elnaz Ansari, Vikas Chandra, Subhasish Mitra, Edith Beigné:
Three-Dimensional Stacked Neural Network Accelerator Architectures for AR/VR Applications. IEEE Micro 42(6): 116-124 (2022) - 2020
- [c8]Bita Darvish Rouhani, Daniel Lo, Ritchie Zhao, Ming Liu, Jeremy Fowers, Kalin Ovtcharov, Anna Vinogradsky, Sarah Massengill, Lita Yang, Ray Bittner, Alessandro Forin, Haishan Zhu, Taesik Na, Prerak Patel, Shuai Che, Lok Chand Koppaka, Xia Song, Subhojit Som, Kaustav Das, Saurabh Tiwary, Steven K. Reinhardt, Sitaram Lanka, Eric S. Chung, Doug Burger:
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point. NeurIPS 2020
2010 – 2019
- 2019
- [j1]Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann:
An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS. IEEE J. Solid State Circuits 54(1): 158-172 (2019) - 2018
- [c7]Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst:
BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS. CICC 2018: 1-4 - [c6]Gage Hills, Daniel Bankman, Bert Moons, Lita Yang, Jake Hillard, Alex Kahng, Rebecca Park, Marian Verhelst, Boris Murmann, Max M. Shulaker, H.-S. Philip Wong, Subhasish Mitra:
TRIG: hardware accelerator for inference-based applications and experimental demonstration using carbon nanotube FETs. DAC 2018: 74:1-74:10 - [c5]Lita Yang, Daniel Bankman, Bert Moons, Marian Verhelst, Boris Murmann:
Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor. ISCAS 2018: 1-5 - [c4]Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann:
An always-on 3.8μJ/86% CIFAR-10 mixed-signal binary CNN processor with all memory on chip in 28nm CMOS. ISSCC 2018: 222-224 - [i1]Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, Marian Verhelst:
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS. CoRR abs/1804.05554 (2018) - 2017
- [c3]Lita Yang, Boris Murmann:
SRAM voltage scaling for energy-efficient convolutional neural networks. ISQED 2017: 7-12 - [c2]Lita Yang, Boris Murmann:
Approximate SRAM for Energy-Efficient, Privacy-Preserving Convolutional Neural Networks. ISVLSI 2017: 689-694 - 2015
- [c1]Boris Murmann, Daniel Bankman, Elaina Chai, Daisuke Miyashita, Lita Yang:
Mixed-signal circuits for embedded machine-learning applications. ACSSC 2015: 1341-1345
Coauthor Index
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