Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNN. - Li Jing 001; Yichen Shen 001; Tena Dubcek; John Peurifoy; Scott A. Skirlo; Max Tegmark; Marin Soljacic (CoRR, 2016)

Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs. - Li Jing 001; Yichen Shen 001; Tena Dubcek; John Peurifoy; Scott A. Skirlo; Yann LeCun; Max Tegmark; Marin Soljacic (ICML, 2017)

Improving the Performance of Unitary Recurrent Neural Networks and Their Application in Real-life Tasks. - Ivan Ivanov; Li Jing 001; Rumen Dangovski (CompSysTech, 2018)

Rotational Unit of Memory. - Rumen Dangovski; Li Jing 001; Marin Soljacic (ICLR (Workshop), 2018)

Statistical Computing in Photonic Integrated Circuits. - Yichen Shen 001; Huaiyu Meng; Li Jing 001; Bobby Lu (PSC, 2018)

Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks. - Yurui Qu; Li Jing 001; Yichen Shen 001; Min Qiu; Marin Soljacic (CoRR, 2018)

Photonic Recurrent Ising Sampler. - Charles Roques-Carmes; Yichen Shen 001; Cristian Zanoci; Mihika Prabhu; Fadi Atieh; Li Jing 001; Tena Dubcek; Vladimir Ceperic; John D. Joannopoulos; Dirk R. Englund; Marin Soljacic (CoRR, 2018)

WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices. - Li Jing 001; Rumen Dangovski; Marin Soljacic (CoRR, 2018)

Gated Orthogonal Recurrent Units: On Learning to Forget. - Li Jing 001; Çaglar Gülçehre; John Peurifoy; Yichen Shen 001; Max Tegmark; Marin Soljacic; Yoshua Bengio (Neural Comput., 2019)

Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications. - Rumen Dangovski; Li Jing 001; Preslav Nakov; Mico Tatalovic; Marin Soljacic (Trans. Assoc. Comput. Linguistics, 2019)

Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. - Matthew Khoury; Rumen Dangovski; Longwu Ou; Preslav Nakov; Yichen Shen 001; Li Jing 001 (EMNLP (1), 2020)

Implicit Rank-Minimizing Autoencoder. - Li Jing 001; Jure Zbontar; Yann LeCun (NeurIPS, 2020)

Contextualizing Enhances Gradient Based Meta Learning. - Evan Vogelbaum; Rumen Dangovski; Li Jing 001; Marin Soljacic (CoRR, 2020)

We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. - Rumen Dangovski; Michelle Shen; Dawson Byrd; Li Jing 001; Desislava Tsvetkova; Preslav Nakov; Marin Soljacic (AAAI, 2021)

Barlow Twins: Self-Supervised Learning via Redundancy Reduction. - Jure Zbontar; Li Jing 001; Ishan Misra; Yann LeCun; Stéphane Deny (ICML, 2021)

Demonstration of Spider-Eyes-Like Intelligent Antennas for Dynamically Perceiving Incoming Waves. - Zhedong Wang; Chao Qian 012; Tong Cai; Longwei Tian; Zhixiang Fan; Jian Liu; Yichen Shen 001; Li Jing 001; Jianming Jin; Er-Ping Li 001; Bin Zheng; Hongsheng Chen (Adv. Intell. Syst., 2021)

Equivariant Contrastive Learning. - Rumen Dangovski; Li Jing 001; Charlotte Loh; Seungwook Han; Akash Srivastava; Brian Cheung; Pulkit Agrawal 001; Marin Soljacic (CoRR, 2021)

Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery. - Samuel Kim; Peter Y. Lu; Srijon Mukherjee; Michael Gilbert; Li Jing 001; Vladimir Ceperic; Marin Soljacic (IEEE Trans. Neural Networks Learn. Syst., 2021)

Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. - Rumen Dangovski; Li Jing 001; Charlotte Loh; Seungwook Han; Akash Srivastava; Brian Cheung; Pulkit Agrawal 001; Marin Soljacic (ICLR, 2022)

Understanding Dimensional Collapse in Contrastive Self-supervised Learning. - Li Jing 001; Pascal Vincent; Yann LeCun; Yuandong Tian (ICLR, 2022)

Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials. - Andrew Ma; Yang Zhang 001; Thomas Christensen; Hoi Chun Po; Li Jing 001; Liang Fu; Marin Soljacic (CoRR, 2022)

Positive Unlabeled Contrastive Learning. - Anish Acharya; Sujay Sanghavi; Li Jing 001; Bhargav Bhushanam; Dhruv Choudhary; Michael G. Rabbat; Inderjit S. Dhillon (CoRR, 2022)

Masked Siamese ConvNets. - Li Jing 001; Jiachen Zhu 002; Yann LeCun (CoRR, 2022)

Asymmetric Grouped Convolutions for Logarithmic Scale Efficient Convolutional Neural Networks. - Li Jing 001; Rumen Dangovski; Marin Soljacic (HPEC, 2023)

Manifold Transfer Networks for Lens Distortion Rectification. - Li Jing 001; Lay Jain; Rumen Dangovski; Marin Soljacic (HPEC, 2023)

Contextualizing Enhances Gradient Based Meta Learning for Few Shot Image Classification. - Evan Vogelbaum; Rumen Dangovski; Li Jing 001; Marin Soljacic (HPEC, 2023)

VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. - Shraman Pramanick; Li Jing 001; Sayan Nag; Jiachen Zhu 002; Hardik Shah; Yann LeCun; Rama Chellappa (Trans. Mach. Learn. Res., 2023)

Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. - Ileana Rugina; Rumen Dangovski; Li Jing 001; Preslav Nakov; Marin Soljacic (LREC/COLING, 2024)