Li Jing - RankMe

38 papers A* 6Misc 1Journal 23Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. LREC/COLING Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic
2023	—	`conf`	Asymmetric Grouped Convolutions for Logarithmic Scale Efficient Convolutional Neural Networks. HPEC Li Jing, Rumen Dangovski, Marin Soljacic
2023	—	`conf`	Contextualizing Enhances Gradient Based Meta Learning for Few Shot Image Classification. HPEC Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic
2023	—	`conf`	Manifold Transfer Networks for Lens Distortion Rectification. HPEC Li Jing, Lay Jain, Rumen Dangovski, Marin Soljacic
2023	J	`jnl`	VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. Trans. Mach. Learn. Res. Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa
2022	A*	`conf`	Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations. ICLR Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
2022	J	`jnl`	Masked Siamese ConvNets. CoRR Li Jing, Jiachen Zhu, Yann LeCun
2022	J	`jnl`	Positive Unlabeled Contrastive Learning. CoRR Anish Acharya, Sujay Sanghavi, Li Jing, Bhargav Bhushanam, Dhruv Choudhary, Michael G. Rabbat, Inderjit S. Dhillon
2022	J	`jnl`	Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials. CoRR Andrew Ma, Yang Zhang, Thomas Christensen, Hoi Chun Po, Li Jing, Liang Fu, Marin Soljacic
2022	A*	`conf`	Understanding Dimensional Collapse in Contrastive Self-supervised Learning. ICLR Li Jing, Pascal Vincent, Yann LeCun, Yuandong Tian
2022	J	`jnl`	VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. CoRR Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa
2021	A*	`conf`	Barlow Twins: Self-Supervised Learning via Redundancy Reduction. ICML Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny
2021	J	`jnl`	Barlow Twins: Self-Supervised Learning via Redundancy Reduction. CoRR Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny
2021	J	`jnl`	Demonstration of Spider-Eyes-Like Intelligent Antennas for Dynamically Perceiving Incoming Waves. Adv. Intell. Syst. 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
2021	J	`jnl`	Equivariant Contrastive Learning. CoRR Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
2021	J	`jnl`	Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery. IEEE Trans. Neural Networks Learn. Syst. Samuel Kim, Peter Y. Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Ceperic, Marin Soljacic
2021	J	`jnl`	Understanding Dimensional Collapse in Contrastive Self-supervised Learning. CoRR Li Jing, Pascal Vincent, Yann LeCun, Yuandong Tian
2021	A*	`conf`	We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. AAAI Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic
2020	J	`jnl`	Contextualizing Enhances Gradient Based Meta Learning. CoRR Evan Vogelbaum, Rumen Dangovski, Li Jing, Marin Soljacic
2020	J	`jnl`	Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. CoRR Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic
2020	A*	`conf`	Implicit Rank-Minimizing Autoencoder. NeurIPS Li Jing, Jure Zbontar, Yann LeCun
2020	J	`jnl`	Implicit Rank-Minimizing Autoencoder. CoRR Li Jing, Jure Zbontar, Yann LeCun
2020	—	`conf`	Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. EMNLP (1) Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing
2020	J	`jnl`	Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. CoRR Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing
2019	J	`jnl`	Gated Orthogonal Recurrent Units: On Learning to Forget. Neural Comput. Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio
2019	J	`jnl`	Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery. CoRR Samuel Kim, Peter Y. Lu, Srijon Mukherjee, Michael Gilbert, Li Jing, Vladimir Ceperic, Marin Soljacic
2019	J	`jnl`	Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications. Trans. Assoc. Comput. Linguistics Rumen Dangovski, Li Jing, Preslav Nakov, Mico Tatalovic, Marin Soljacic
2018	—	`conf`	Gated Orthogonal Recurrent Units: On Learning to Forget. AAAI Workshops Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio
2018	—	`conf`	Improving the Performance of Unitary Recurrent Neural Networks and Their Application in Real-life Tasks. CompSysTech Ivan Ivanov, Li Jing, Rumen Dangovski
2018	J	`jnl`	Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks. CoRR Yurui Qu, Li Jing, Yichen Shen, Min Qiu, Marin Soljacic
2018	J	`jnl`	Photonic Recurrent Ising Sampler. CoRR 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
2018	—	`conf`	Rotational Unit of Memory. ICLR (Workshop) Rumen Dangovski, Li Jing, Marin Soljacic
2018	Misc	`conf`	Statistical Computing in Photonic Integrated Circuits. PSC Yichen Shen, Huaiyu Meng, Li Jing, Bobby Lu
2018	J	`jnl`	WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices. CoRR Li Jing, Rumen Dangovski, Marin Soljacic
2017	J	`jnl`	Gated Orthogonal Recurrent Units: On Learning to Forget. CoRR Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio
2017	J	`jnl`	Rotational Unit of Memory. CoRR Rumen Dangovski, Li Jing, Marin Soljacic
2017	A*	`conf`	Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs. ICML Li Jing, Yichen Shen, Tena Dubcek, John Peurifoy, Scott A. Skirlo, Yann LeCun, Max Tegmark, Marin Soljacic
2016	J	`jnl`	Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNN. CoRR Li Jing, Yichen Shen, Tena Dubcek, John Peurifoy, Scott A. Skirlo, Max Tegmark, Marin Soljacic