Articles with public access mandates - Li JingLearn more
Available somewhere: 15
Nanophotonic particle simulation and inverse design using artificial neural networks
J Peurifoy, Y Shen, L Jing, Y Yang, F Cano-Renteria, BG DeLacy, ...
Science advances 4 (6), eaar4206, 2018
Mandates: US National Science Foundation, US Department of Defense
Deep-learning-enabled self-adaptive microwave cloak without human intervention
C Qian, B Zheng, Y Shen, L Jing, E Li, L Shen, H Chen
Nature photonics 14 (6), 383-390, 2020
Mandates: National Natural Science Foundation of China
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
L Jing, Y Shen, T Dubček, J Peurifoy, S Skirlo, Y LeCun, M Tegmark, ...
International Conference on Machine Learning (ICML 2017), 2017
Mandates: US National Science Foundation, US Department of Defense
Integration of neural network-based symbolic regression in deep learning for scientific discovery
S Kim, PY Lu, S Mukherjee, M Gilbert, L Jing, V Čeperić, M Soljačić
IEEE transactions on neural networks and learning systems 32 (9), 4166-4177, 2020
Mandates: US Department of Defense
Gated orthogonal recurrent units: On learning to forget
L Jing, C Gulcehre, J Peurifoy, Y Shen, M Tegmark, M Soljacic, Y Bengio
Neural Computation 31 (4), 765–783, 2019
Mandates: US National Science Foundation, US Department of Defense
Quantum cloning machines and the applications
H Fan, YN Wang, L Jing, JD Yue, HD Shi, YL Zhang, LZ Mu
Physics Reports 544 (3), 241-322, 2014
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
Heuristic recurrent algorithms for photonic Ising machines
C Roques-Carmes, Y Shen, C Zanoci, M Prabhu, F Atieh, L Jing, ...
Nature communications 11 (1), 249, 2020
Mandates: US National Science Foundation, US Department of Defense
Accelerating recurrent Ising machines in photonic integrated circuits
M Prabhu, C Roques-Carmes, Y Shen, N Harris, L Jing, J Carolan, ...
Optica 7 (5), 551-558, 2020
Mandates: US National Science Foundation, US Department of Energy, US Department of …
Migrating knowledge between physical scenarios based on artificial neural networks
Y Qu, L Jing, Y Shen, M Qiu, M Soljacic
ACS Photonics 6 (5), 1168-1174, 2019
Mandates: US National Science Foundation, US Department of Defense, National Natural …
Predictive and generative machine learning models for photonic crystals
T Christensen, C Loh, S Picek, D Jakobović, L Jing, S Fisher, V Ceperic, ...
Nanophotonics 9 (13), 4183-4192, 2020
Mandates: US National Science Foundation, US Department of Defense, Danish Council for …
Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications
R Dangovski, L Jing, P Nakov, M Tatalović, M Soljačić
Transactions of the Association for Computational Linguistics 7, 121-138, 2019
Mandates: US National Science Foundation, US Department of Defense
Demonstration of Spider‐Eyes‐Like Intelligent Antennas for Dynamically Perceiving Incoming Waves
Z Wang, C Qian, T Cai, L Tian, Z Fan, J Liu, Y Shen, L Jing, J Jin, EP Li, ...
Advanced Intelligent Systems 3 (9), 2100066, 2021
Mandates: National Natural Science Foundation of China
Fitting magnetic field gradient with Heisenberg-scaling accuracy
YL Zhang, H Wang, L Jing, LZ Mu, H Fan
Scientific reports 4 (1), 7390, 2014
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
We Can Explain Your Research in Layman’s Terms: Towards Automating Science Journalism at Scale
R Dangovski, M Shen, D Byrd, L Jing, D Tsvetkova, P Nakov, M Soljacic
AAAI Conference on Artificial Intelligence (AAAI 2021), 2021
Mandates: US Department of Defense
Topogivity: A machine-learned chemical rule for discovering topological materials
A Ma, Y Zhang, T Christensen, HC Po, L Jing, L Fu, M Soljacic
Nano Letters 23 (3), 772-778, 2023
Mandates: US National Science Foundation, US Department of Energy, US Department of …
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