I am joining OpenAI, working on multimodal learning.
My current research focuses on developing general-purpose and scalable self-supervised learning algorithms, where machines can learn multimodal representations without human supervision and solve downstream tasks in a zero-shot or few-shot setting.
I did my postdoc Meta AI / FAIR, working with Yann LeCun on self-supervised visual representation learning. I obtained my PhD in physics from MIT, advised by Marin Soljacic. During my PhD, my research was on physics-inspired neural networks and AI for science. Previously, I received a BS in physics and a BA in economics from Peking University. I am a co-founder of Lightelligence Inc.
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations
Rumen Dangovski, Li Jing, Charlotte Loh, Seungwook Han, Akash Srivastava, Brian Cheung, Pulkit Agrawal, Marin Soljacic
[PDF] [Code] [Talk]
Heuristic Recurrent Algorithms for Photonic Ising Machines
Charles Roques-Carmes, Yichen Shen, Cristian Zanoci, Mihika Prabhu, Fadi Atieh, Li Jing, Tena Dubcek, Vladimir Ceperic, John Joannopoulos, Dirk Englund, Marin Soljacic
Nature Communications 2020
Migrating knowledge between physical scenarios based on artificial neural networks
Yurui Qu*, Li Jing*, Yichen Shen, Min Qiu, Marin Soljacic
ACS Photonics 2019
Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks
John Peurifoy, Yichen Shen, Li Jing*, Yi Yang, Fidel Cano-Renteria, Brendan Delacy, John Joannopoulos, Max Tegmark, Marin Soljacic
Science Advances 2018
[PDF] [News] [Code]
We Can Explain Your Research in Layman’s Terms: Towards Automating Science Journalism at Scale
Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic
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, Li Jing
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
Li Jing*, Yichen Shen*, Tena Dubcek, John Peurifoy, Scott Skirlo, Yann LeCun, Max Tegmark, Marin Soljacic
[PDF] [Code] [Talk]