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ORCIDLi Jing 0001
Person information
- affiliation (PhD 2019): Massachusetts Institute of Technology, Cambridge, MA, USA
Other persons with the same name
- Li Jing — disambiguation page
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Journal Articles
- 2023
[j5]Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa:
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. Trans. Mach. Learn. Res. 2023 (2023)- 2021
- [j4]Zhedong Wang, Chao Qian, Tong Cai, Longwei Tian
, Zhixiang Fan, Jian Liu, Yichen Shen, Li Jing, Jianming Jin, Er-Ping Li, Bin Zheng, Hongsheng Chen:
Demonstration of Spider-Eyes-Like Intelligent Antennas for Dynamically Perceiving Incoming Waves. Adv. Intell. Syst. 3(9): 2100066 (2021) - [j3]Samuel Kim, Peter Y. Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Ceperic, Marin Soljacic:
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4166-4177 (2021) - 2019
- [j2]Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio:
Gated Orthogonal Recurrent Units: On Learning to Forget. Neural Comput. 31(4) (2019) - [j1]Rumen Dangovski, Li Jing, Preslav Nakov, Mico Tatalovic, Marin Soljacic:
Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications. Trans. Assoc. Comput. Linguistics 7: 121-138 (2019)
Conference and Workshop Papers
- 2024
- [c15]Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic:
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. LREC/COLING 2024: 4392-4403 - 2023
- [c14]Li Jing, Rumen Dangovski, Marin Soljacic:
Asymmetric Grouped Convolutions for Logarithmic Scale Efficient Convolutional Neural Networks. HPEC 2023: 1-12 - [c13]Li Jing, Lay Jain, Rumen Dangovski, Marin Soljacic:
Manifold Transfer Networks for Lens Distortion Rectification. HPEC 2023: 1-8 - [c12]Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic:
Contextualizing Enhances Gradient Based Meta Learning for Few Shot Image Classification. HPEC 2023: 1-13 - 2022
- [c11]Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic:
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. ICLR 2022 - [c10]Li Jing, Pascal Vincent, Yann LeCun, Yuandong Tian:
Understanding Dimensional Collapse in Contrastive Self-supervised Learning. ICLR 2022 - 2021
- [c9]Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic:
We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. AAAI 2021: 12728-12737 - [c8]Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny:
Barlow Twins: Self-Supervised Learning via Redundancy Reduction. ICML 2021: 12310-12320 - 2020
- [c7]Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing:
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. EMNLP (1) 2020: 7975-7984 - [c6]Li Jing, Jure Zbontar, Yann LeCun:
Implicit Rank-Minimizing Autoencoder. NeurIPS 2020 - 2018
- [c5]Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio:
Gated Orthogonal Recurrent Units: On Learning to Forget. AAAI Workshops 2018: 720-726 - [c4]Ivan Ivanov, Li Jing, Rumen Dangovski:
Improving the Performance of Unitary Recurrent Neural Networks and Their Application in Real-life Tasks. CompSysTech 2018: 6-11 - [c3]Rumen Dangovski, Li Jing, Marin Soljacic:
Rotational Unit of Memory. ICLR (Workshop) 2018 - [c2]Yichen Shen, Huaiyu Meng, Li Jing, Bobby Lu:
Statistical Computing in Photonic Integrated Circuits. PSC 2018: 1 - 2017
- [c1]Li Jing, Yichen Shen, Tena Dubcek, John Peurifoy, Scott A. Skirlo, Yann LeCun, Max Tegmark, Marin Soljacic:
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs. ICML 2017: 1733-1741
Informal and Other Publications
- 2022
- [i18]Andrew Ma, Yang Zhang, Thomas Christensen, Hoi Chun Po, Li Jing, Liang Fu, Marin Soljacic:
Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials. CoRR abs/2202.05255 (2022) - [i17]Anish Acharya, Sujay Sanghavi, Li Jing, Bhargav Bhushanam, Dhruv Choudhary, Michael G. Rabbat, Inderjit S. Dhillon:
Positive Unlabeled Contrastive Learning. CoRR abs/2206.01206 (2022) - [i16]Li Jing, Jiachen Zhu, Yann LeCun:
Masked Siamese ConvNets. CoRR abs/2206.07700 (2022) - [i15]Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa:
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. CoRR abs/2210.04135 (2022) - 2021
- [i14]Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny:
Barlow Twins: Self-Supervised Learning via Redundancy Reduction. CoRR abs/2103.03230 (2021) - [i13]Li Jing, Pascal Vincent, Yann LeCun, Yuandong Tian:
Understanding Dimensional Collapse in Contrastive Self-supervised Learning. CoRR abs/2110.09348 (2021) - [i12]Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic:
Equivariant Contrastive Learning. CoRR abs/2111.00899 (2021) - 2020
- [i11]Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic:
Contextualizing Enhances Gradient Based Meta Learning. CoRR abs/2007.10143 (2020) - [i10]Li Jing, Jure Zbontar, Yann LeCun:
Implicit Rank-Minimizing Autoencoder. CoRR abs/2010.00679 (2020) - [i9]Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing:
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. CoRR abs/2010.08412 (2020) - [i8]Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic:
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. CoRR abs/2012.02030 (2020) - 2019
- [i7]Samuel Kim, Peter Y. Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Ceperic, Marin Soljacic:
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery. CoRR abs/1912.04825 (2019) - 2018
- [i6]Yurui Qu, Li Jing, Yichen Shen, Min Qiu, Marin Soljacic:
Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks. CoRR abs/1809.00972 (2018) - [i5]Charles Roques-Carmes, Yichen Shen, Cristian Zanoci, Mihika Prabhu, Fadi Atieh, Li Jing, Tena Dubcek, Vladimir Ceperic, John D. Joannopoulos, Dirk R. Englund, Marin Soljacic:
Photonic Recurrent Ising Sampler. CoRR abs/1811.02705 (2018) - [i4]Li Jing, Rumen Dangovski, Marin Soljacic:
WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices. CoRR abs/1811.11644 (2018) - 2017
- [i3]Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio:
Gated Orthogonal Recurrent Units: On Learning to Forget. CoRR abs/1706.02761 (2017) - [i2]Rumen Dangovski, Li Jing, Marin Soljacic:
Rotational Unit of Memory. CoRR abs/1710.09537 (2017) - 2016
- [i1]Li Jing, Yichen Shen, Tena Dubcek, John Peurifoy, Scott A. Skirlo, Max Tegmark, Marin Soljacic:
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNN. CoRR abs/1612.05231 (2016)
Coauthor Index
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