Li Jing


Ph.D. candidate at MIT; Co-founder of Lightelligence Inc.

8-313
77 Massachusetts Ave,
Cambridge MA, 02139

ljing@mit.edu

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About

I am a 5th Ph.D. student at MIT, working with professor Marin soljačić and professor Max Tegmark. My research interests include Machine Learning, Natural Language Processing and Applied Physics. I received my B.S. in Physics and B.A. in Economics (Dual Major) from Peking University in 2014.

I am a co-founder of Lightelligence Inc. in 2017 where I led the Machine Learning Algorithm team. We raised $10M seed-series funding.

Recent Updates

  • 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 (2018)

  • Gated Orthogonal Recurrent Units: On Learning to Forget

    Li Jing*, Çağlar Gülçehre*, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljačić, Yoshua Bengio · Neural Computation (2018)

  • 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