| 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 | 2479 | 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 | 859 | 2018 |
| Improving Image Generation with Better Captions J Betker, G Goh, L Jing, T Brooks, J Wang, L Li, L Ouyang, J Zhuang, ... https://cdn.openai.com/papers/dall-e-3.pdf, 2023 | 641 | 2023 |
| 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 | 435 | 2020 |
| Understanding dimensional collapse in contrastive self-supervised learning L Jing, P Vincent, Y LeCun, Y Tian International Conference on Learning Representations (ICLR 2022), 2021 | 386 | 2021 |
| Video Generation Models as World Simulators T Brooks, B Peebles, C Holmes, W DePue, Y Guo, L Jing, D Schnurr, ... https://openai.com/research/video-generation-models-as-world-simulators, 2024 | 307* | 2024 |
| 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 | 220 | 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 | 187 | 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 | 150 | 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 | 147 | 2014 |
| 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 | 135 | 2021 |
| 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 | 133* | 2020 |
| 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 | 120 | 2020 |
| 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 | 115 | 2019 |
| 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 | 94 | 2020 |
| Implicit Rank-Minimizing Autoencoder L Jing, J Zbontar, Y LeCun Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 56 | 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 | 43* | 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 | 38 | 2021 |
| 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 | 37 | 2023 |
| Masked Siamese Convnets L Jing, J Zhu, Y LeCun arXiv preprint arXiv: 2206.07700, 2022 | 31 | 2022 |
Marin SoljacicProfessor of Physics, MITVerified email at mit.edu