About

I am a 5th Ph.D. student at MIT Physics Department, working with professor Marin soljačić. I received my B.S. in Physics and B.A. in Economics (Dual Major) from Peking University in 2014. I co-founded of Lightelligence Inc. in 2017.

• Machine Learning Algorithms
• Machine Learning for Natural Language Processing
• Application of Machine Learning in Physics

News

• I plan to graduate in 2019 winter.
• [2018/11] I am invited as panelist for MIT-CHIEF Annual Conference AI Panel.
• [2018/06] Our work "Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks" is covered by MIT News.

Publications

• WaveletNet: Logarithmic Scale Efficient Convolutional Neural Networks for Edge Devices

  Li Jing*, Rumen Dangovski*, Marin Soljacic · arXiv:1811.11644

• Photonic Recurrent Ising Sampler

  Charles Roques-Carmes, Yichen Shen, Cristian Zanoci, Mihika Prabhu, Fadi Atieh, Li Jing, Tena Dubcek, Vladimir Ceperic, John D Joannopoulos, Dirk Englund, Marin Soljacic · arXiv:1811.02705

• Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks

  Yurui Qu*, Li Jing*, Yichen Shen, Min Qiu, Marin Soljačić · arXiv:1809.00972

• Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications

  Rumen Dangovski*, Li Jing*, Marin Soljačić · Transactions of the Association for Computational Linguistics (2019)

• Gated Orthogonal Recurrent Units: On Learning to Forget

  Li Jing*, Çağlar Gülçehre*, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljačić, Yoshua Bengio · Neural Computation (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 D. Joannopoulos, Max Tegmark, Marin Soljačić · Science Advance. Vol. 4, no. 6, eaar4206 (2018)

• Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs

  Li Jing*, Yichen Shen*, Tena Dubček, John Peurifoy, Scott Skirlo, Yann LeCun, Max Tegmark, Marin Soljačić · Proceedings of the 34th International Conference on Machine Learning (ICML) (2017)

• Quantum cloning machines and the applications

Heng Fan, Yi-Nan Wang, Li Jing, Jie-Dong Yue, Han-Duo Shi, Yong-Liang Zhang, Liang-Zhu Mu · Physics Reports 544 (3), 241-322 (2014)

• Fitting magnetic field gradient with Heisenberg-scaling accuracy

Yong-Liang Zhang, Huan Wang, Li Jing, Liang-Zhu Mu, Heng Fan · Scientific Reports 4, 7390 (2014)

• Quantum network teleportation for quantum information distribution and concentration

Yong-Liang Zhang, Yi-Nan Wang, Xiang-Ru Xiao, Li Jing, Liang-Zhu Mu, VE Korepin, Heng Fan · Physical Review A 87 (2), 022302 (2013)

• Minimal input sets determining phase-covariant and universal quantum cloning

Li Jing, Yi-Nan Wang, Han-Duo Shi, Liang-Zhu Mu, Heng Fan · Physical Review A 86 (6), 062315 (2012)

• General quantum key distribution in higher dimension

Zhao-Xi Xiong, Han-Duo Shi, Yi-Nan Wang, Li Jing, Jin Lei, Liang-Zhu Mu, Heng Fan · Physical Review A 85 (1), 012334 (2012)

• Non-compression of quantum phase information

Yi-Nan Wang, Han-Duo Shi, Li Jing, Zhao-Xi Xiong, Jin Lei, Liang-Zhu Mu, Heng Fan · Journal of Physics A: Mathematical and Theoretical 45 (2), 025304 (2012)

• Unified universal quantum cloning machine and fidelities

Yi-Nan Wang, Han-Duo Shi, Zhao-Xi Xiong, Li Jing, Xi-Jun Ren, Liang-Zhu Mu, Heng Fan · Physical Review A 84 (3), 034302 (2011)

Selected Honors and Awards

• 2010 International Physics Olympiad (IPhO) Gold Medal

Current and Past Affiliations