Longbo Huang

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Welcome to my homepage! I am a tenured associate professor in the Institute for Interdisciplinary Information Sciences (IIIS) @ Tsinghua University. I direct the Decision Intelligence Lab@IIIS.

I received my Ph.D. from the EE department @ University of Southern California in August 2011. My advisor was Prof. Michael Neely. I was then a postdoctoral researcher in the EECS department @ UC Berkeley from July 2011 to August 2012, advised by Prof. Kannan Ramchandran and Prof. Jean Walrand. Prior to my Ph.D., I received my B.E. from Sun Yat-sen (Zhongshan) University, Guangzhou, China, and my M.S. from Columbia University, New York City, both in EE.

I have been a visiting professor at Bell-labs France, Microsoft Research Asia, and CUHK and a visiting scholar at the Laboratory for Information and Decision Systems (LIDS) @ MIT. I was also a visiting scientist at the Simons Institute for the Theory of Computing at Berkeley in Fall 2016. I received the Tsinghua University Distinguished Teaching Award (良师益友) in 2014, and received the ACM SIGMETRICS Rising Star Research Award in 2018 (Tsinghua news and USC news). I serve/served on the editorial board for the IEEE/ACM ToN journal, the ACM ToMPECS journal, the IEEE TCOM journal, and the IEEE JSAC journal (guest editor). I am a senior member of ACM and IEEE, an IEEE ComSoc Distinguished Lecturer, and an ACM Distinguished Speaker.

My research focuses on AI for Decisions (决策智能), with the objective of developing efficient, robust and explainable AI theory and algorithms for decision making and optimization (see Decision Intelligence Lab page).

Students & Postdoc (招生与博士后): I am constantly looking for highly motivated students (undergrad and graduate) and postdocs who are interested in the area of AI for Decisions (决策智能), including deep reinforcement learning, reinforcement learning theory, online learning, learning-augmented network optimization. Please email me if you are interested.

Recent News

  • [2022.09] Paper “Provable Generalization of Overparameterized Meta-learning Trained with SGD” accepted to NeurIPS 2022!

  • [2022.07] Paper “Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning” accepted to MobiHoc 2022!

  • [2022.05] Congratulations to Ms. Ling Pan for defending her Ph.D. thesis! She will be joining MILA as a postdoc of Prof. Yoshua Bengio (Turing Award Laureate) this Fall!

  • [2022.05] Four papers accepted to ICML 2022!

  • [2022.05] I am named an ACM Distinguished Speaker!

  • [2021.12] I am named an IEEE ComSoc Distinguished Lecturer!

  • [2021.09] Six papers accepted to NeurIPS 2021, including one oral presentation (top 1%)!

  • [2021.08] I will serve as a TPC Co-Chair for ITC 2022!

  • [2020.12] My graduate course <Stochastic Network Optimization Theory> is selected as a featured graduate course (精品课程) by Tsinghua University!

  • [2020.11] Congratulations to Ms. Ling Pan for receiving the prestigious ‘‘Microsoft Research Asia Fellowship Award’’ (only 12 recipients in Asia in 2020)!

  • [2020.09] Two papers from the group (SD3 and Restless-UCB) got accepted to NeurIPS 2020. Congratulations to Ling and Siwei!

  • [2020.06] Paper “Combinatorial Pure Exploration for Dueling Bandit” accepted to ICML 2020! Congratulations to Yihan!

  • [2020.03] I will serve as a TPC Co-Chair for NetEcon 2020!

  • [2019.09] I will serve as the General Chair for ACM Sigmetrics 2021!


Longbo Huang
FIT Building, Room 1-208
Tsinghua University
Beijing, China, 100084
Email: longbohuang AT tsinghua.edu.cn