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 | 64 | 2020 |
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 | 42 | 2021 |
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 | 25 | 2022 |
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 | 21 | 2020 |
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 | 21 | 2016 |
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 | 14 | 2022 |
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 | 11 | 2018 |
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 | 10 | 2021 |
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 | 9 | 2019 |
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 | 7 | 2021 |
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 | 7 | 2021 |
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 | 6 | 2021 |
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 | 6 | 2020 |
Universal Approach for Calibrating Large‐Scale Electronic and Photonic Crossbar Arrays J Fan, Y Tang, W Gao Advanced Intelligent Systems 5 (10), 2300147, 2023 | 5 | 2023 |
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 | 5 | 2023 |
Scientific computing with diffractive optical neural networks R Chen, Y Tang, J Ma, W Gao Advanced Intelligent Systems 5 (12), 2300536, 2023 | 4 | 2023 |
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 | 4 | 2022 |
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 | 4 | 2020 |
Grating coupler and integrated grating coupler system K Kojima, S Nishikawa, S Hayashi, Y Suzuki, J Klamkin, Y Tang US Patent 11,079,550, 2021 | 3 | 2021 |
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 | 3 | 2021 |