Li Jing
Li Jing
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Barlow twins: Self-supervised learning via redundancy reduction
J Zbontar, L Jing, I Misra, Y LeCun, S Deny
International Conference on Machine Learning (ICML 2021), 2021
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
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
Improving Image Generation with Better Captions
J Betker, G Goh, L Jing, T Brooks, J Wang, L Li, L Ouyang, J Zhuang, ..., 2023
Understanding dimensional collapse in contrastive self-supervised learning
L Jing, P Vincent, Y LeCun, Y Tian
International Conference on Learning Representations (ICLR 2022), 2021
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
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
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
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
Video Generation Models as World Simulators
T Brooks, B Peebles, C Holmes, W DePue, Y Guo, L Jing, D Schnurr, ..., 2024
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
Equivariant contrastive learning
R Dangovski, L Jing, C Loh, S Han, A Srivastava, B Cheung, P Agrawal, ...
International Conference on Learning Representations (ICLR 2022), 2021
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
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
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
Implicit Rank-Minimizing Autoencoder
L Jing, J Zbontar, Y LeCun
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
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
Optical Ising machines and optical convolutional neural networks
C Roques-carmes, Y Shen, L Jing, T Dubcek, SA Skirlo, ...
US Patent 11,017,309, 2021
Unified universal quantum cloning machine and fidelities
YN Wang, HD Shi, ZX Xiong, L Jing, XJ Ren, LZ Mu, H Fan
Physical Review A—Atomic, Molecular, and Optical Physics 84 (3), 034302, 2011
Optoelectronic computing systems
Y Shen, H Meng, L Jing, R Dangovski, P Xie, M Khoury, CK Lu, R Gagnon, ...
US Patent 11,734,555, 2023
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