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Yingheng Tang
Yingheng Tang
Verified email at lbl.gov
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Year
Generative deep learning model for inverse design of integrated nanophotonic devices
Y Tang, K Kojima, T Koike‐Akino, Y Wang, P Wu, Y Xie, MH Tahersima, ...
Laser & Photonics Reviews 14 (12), 2000287, 2020
592020
Deep neural networks for inverse design of nanophotonic devices
K Kojima, MH Tahersima, T Koike-Akino, DK Jha, Y Tang, Y Wang, ...
Journal of Lightwave Technology 39 (4), 1010-1019, 2021
332021
Generative deep learning model for a multi-level nano-optic broadband power splitter
Y Tang, K Kojima, T Koike-Akino, Y Wang, P Wu, M Tahersima, D Jha, ...
Optical Fiber Communication Conference, Th1A. 1, 2020
212020
Stacking the deck for efficiency: RF-to millimeter-wave stacked CMOS SOI power amplifiers
J Cui, S Helmi, Y Tang, S Mohammadi
IEEE Microwave magazine 17 (12), 55-69, 2016
202016
Physics-informed recurrent neural network for time dynamics in optical resonances
Y Tang, J Fan, X Li, J Ma, M Qi, C Yu, W Gao
Nature computational science 2 (3), 169-178, 2022
162022
A low power CMOS temperature sensor frontend for RFID tags
H Shan, J Peterson, MS Tsai, Y Tang, NJ Conrad, S Mohammadi
2018 IEEE 18th Topical Meeting on Silicon Monolithic Integrated Circuits in …, 2018
112018
Physics‐Aware Machine Learning and Adversarial Attack in Complex‐Valued Reconfigurable Diffractive All‐Optical Neural Network
R Chen, Y Li, M Lou, J Fan, Y Tang, B Sensale‐Rodriguez, C Yu, W Gao
Laser & Photonics Reviews 16 (12), 2200348, 2022
102022
Learning to find good correspondences of multiple objects
Y Xie, Y Tang, G Tang, W Hoff
2020 25th International Conference on Pattern Recognition (ICPR), 2779-2786, 2021
102021
Phase insensitive high order mode pass filter with low reflection for two-mode division multiplexing
M Teng, YJ Lee, A Al Noman, Y Xuan, Z Kong, Y Tang, M Qi
Optical Fiber Communication Conference, Th2A. 5, 2019
82019
Nano-optic broadband power splitter design via cycle-consistent adversarial deep learning
Y Tang, K Kojima, T Koike-Akino, Y Wang, DK Jha, K Parsons, M Qi
CLEO: Science and Innovations, SW4E. 1, 2021
62021
Inverse design of nanophotonic devices using deep neural networks
K Kojima, Y Tang, T Koike-Akino, Y Wang, D Jha, K Parsons, ...
2020 Asia Communications and Photonics Conference (ACP) and International …, 2020
62020
Physics-aware complex-valued adversarial machine learning in reconfigurable diffractive all-optical neural network
R Chen, Y Li, M Lou, J Fan, Y Tang, B Sensale-Rodriguez, C Yu, W Gao
arXiv preprint arXiv:2203.06055, 2022
42022
Physics-guided and physics-explainable recurrent neural network for time dynamics in optical resonances
Y Tang, J Fan, X Li, J Ma, M Qi, C Yu, W Gao
arXiv preprint arXiv:2109.09837, 2021
42021
Inverse design for integrated photonics using deep neural network
K Kojima, T Koike-Akino, Y Tang, Y Wang
Integrated Photonics Research, Silicon and Nanophotonics, IF3A. 6, 2021
42021
Aliasing-free Beam Steering from an Optical Array Emitter with Half-wavelength Pitch
Z Kong, YJ Lee, A Al Noman, Y Tang, G Chang, R Chen, M Qi
Integrated Photonics Research, Silicon and Nanophotonics, ITh2H. 6, 2020
42020
Device‐System End‐to‐End Design of Photonic Neuromorphic Processor Using Reinforcement Learning
Y Tang, PT Zamani, R Chen, J Ma, M Qi, C Yu, W Gao
Laser & Photonics Reviews 17 (2), 2200381, 2023
32023
Application of deep learning for nanophotonic device design
K Kojima, Y Tang, T Koike-Akino, Y Wang, DK Jha, MH Tahersima, ...
AI and Optical Data Sciences II 11703, 47-56, 2021
32021
Deep neural networks for designing integrated photonics
K Kojima, MH Tahersima, T Koike-Akino, D Jha, Y Tang, Y Wang, ...
Optical Fiber Communication Conference, Th1A. 6, 2020
32020
Scientific Computing with Diffractive Optical Neural Networks
R Chen, Y Tang, J Ma, W Gao
Advanced Intelligent Systems 5 (12), 2300536, 2023
12023
Device-system co-design of photonic neuromorphic processor using reinforcement learning
Y Tang, PT Zamani, R Chen, J Ma, M Qi, C Yu, W Gao
arXiv preprint arXiv:2203.06061, 2022
12022
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Articles 1–20