PeopleofSuperintelligence

Researcher

Lin Xiao

Also known as 肖林

Lin Xiao is a research scientist at Meta's Fundamental AI Research lab, where his current research interests include large-scale optimization and reinforcement learning. Early in his career, he was one of the winners of the Young Researcher Competition at the first ICCOPT in 2004, for work on fastest mixing Markov chains. He published the dual averaging method for regularized stochastic learning at NIPS 2009, and the paper received the Test of Time Award at NeurIPS 2019. He spent 14 years at Microsoft Research before joining Facebook in 2020. In 2025, he received the ACM SenSys Test of Time Award for robust distributed sensor fusion based on average consensus.

Works
73

Publication numbers from OpenAlex, as of 15 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2004

    Young Researcher prize at ICCOPT

    He is one of the winners of the Young Researcher Competition at the first ICCOPT in 2004, for work on fastest mixing Markov chains with Stephen Boyd and Persi Diaconis.

  2. 2009–2010

    Dual averaging for online learning

    He publishes the dual averaging method for regularized stochastic learning at NIPS 2009, and a Journal of Machine Learning Research version appears in October 2010.

  3. 2019

    A NeurIPS Test of Time Award

    He wins the NeurIPS 2019 Test of Time Award for his work on the regularized dual averaging method for sparse stochastic optimization and online learning.

  4. 2020

    Moving from Microsoft to Facebook

    After 14 years as a researcher at Microsoft Research, he joins Facebook in 2020.

  5. 2025

    A SenSys Test of Time Award

    He wins the ACM SenSys Test of Time Award in 2025 for robust distributed sensor fusion based on average consensus, joint work with Stephen Boyd and Sanjay Lall.

  6. As of October 2026

    Research scientist at Meta FAIR

    He is a research scientist at Meta's Fundamental AI Research lab, and his current research interests include large-scale optimization and reinforcement learning.

Sources and credits

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  1. Lin Xiao – Biography linxiaolx.github.io. Checked 14 October 2026.
  2. Lin Xiao - ICCOPT2025USC iccopt2025usc.sched.com. Checked 14 October 2026.
  3. Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization - Microsoft Research microsoft.com. Checked 14 October 2026.
  4. Dual Averaging Method for Regularized Stochastic Learning and Online Optimization | ML Anthology mlanthology.org. Checked 14 October 2026.
  5. NeurIPS 2019 Awards neurips.cc. Checked 14 October 2026.
  6. NeurIPS Invited Talk Test of Time: Dual Averaging Method for Regularized Stochastic Learning and Online Optimization neurips.cc. Checked 14 October 2026.
  7. Lin Xiao 肖林 linxiaolx.github.io. Checked 14 October 2026.