Xiaoliang Dai
Xiaoliang Dai
Research Scientist, Facebook
Geverifieerd e-mailadres voor fb.com - Homepage
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FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
B Wu, X Dai, P Zhang, Y Wang, F Sun, Y Wu, Y Tian, P Vajda, Y Jia, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
5842019
NeST: A neural network synthesis tool based on a grow-and-prune paradigm
X Dai, H Yin, NK Jha
IEEE Transactions on Computers, 2019
1402019
Chamnet: Towards efficient network design through platform-aware model adaptation
X Dai, P Zhang, B Wu, H Yin, F Sun, Y Wang, M Dukhan, Y Hu, Y Wu, ...
Proceedings of the IEEE Conference on computer vision and pattern …, 2019
1352019
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
A Wan, X Dai, P Zhang, Z He, Y Tian, S Xie, B Wu, M Yu, T Xu, K Chen, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020
912020
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
B Wu, C Xu, X Dai, A Wan, P Zhang, M Tomizuka, K Keutzer, P Vajda
arXiv preprint arXiv:2006.03677, 2020
472020
Grow and prune compact, fast, and accurate LSTMs
X Dai, H Yin, NK Jha
IEEE Transactions on Computers, 2019
402019
Pinme: Tracking a smartphone user around the world
A Mosenia, X Dai, P Mittal, NK Jha
IEEE Transactions on Multi-Scale Computing Systems 4 (3), 420-435, 2017
352017
FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining
X Dai, A Wan, P Zhang, B Wu, Z He, Z Wei, K Chen, Y Tian, M Yu, P Vajda, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
27*2021
DiabDeep: Pervasive Diabetes Diagnosis based on Wearable Medical Sensors and Efficient Neural Networks
H Yin, B Mukadam, X Dai, NK Jha
IEEE Transactions on Emerging Topics in Computing, 2019
192019
STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods
S Hassantabar, X Dai, NK Jha
arXiv preprint arXiv:1912.05831, 2019
162019
Erbium fiber laser-based direct frequency comb spectroscopy of Rb two-photon transitions
J Wu, D Hou, Z Qin, X Dai, Z Zhang, J Zhao
Optics letters 38 (23), 5028-5031, 2013
142013
Incremental Learning Using a Grow-and-Prune Paradigm with Efficient Neural Networks
X Dai, H Yin, NK Jha
arXiv preprint arXiv:1905.10952, 2019
112019
Improving convergence and simulation time of quantum hydrodynamic simulation: Application to extraction of best 10-nm FinFET parameter values
X Dai, NK Jha
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (1), 319-329, 2016
82016
Fully Dynamic Inference with Deep Neural Networks
W Xia, H Yin, X Dai, NK Jha
arXiv preprint arXiv:2007.15151, 2020
22020
FP-NAS: Fast Probabilistic Neural Architecture Search
Z Yan, X Dai, P Zhang, Y Tian, B Wu, M Feiszli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
12021
System and method for tracking a mobile device user
A Mosenia, X Dai, P Mittal, NK Jha
US Patent App. 16/340,930, 2019
12019
YSUY: Your Smartphone Understands You--Using Machine Learning to Address Fundamental Human Needs
AO Akmandor, X Dai, NK Jha
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019
12019
Synthesis of Efficient Neural Networks
X Dai
Princeton University, 2019
12019
Using a Device State Library to Boost the Performance of TCAD Mixed-Mode Simulation
X Dai, NK Jha
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25 (9 …, 2016
12016
METHOD AND SYSTEM FOR NEURAL NETWORK SYNTHESIS
X Dai, H Yin, NK Jha
US Patent App. 16/760,209, 2021
2021
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Artikelen 1–20