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. My advisor was Prof. Michael Neely. I was then a postdoctoral researcher in the EECS department @ UC Berkeley, advised by Prof. Kannan Ramchandran and Prof. Jean Walrand. Prior to my Ph.D., I received my B.E. from Sun Yat-sen 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 long-term visiting scientist at the Simons Institute for the Theory of Computing at Berkeley in Fall 2016. I serve/served on the editorial board for the ACM ToMPECS journal, the Elsevier PEVA journal, the IEEE/ACM ToN journal, the IEEE TCOM journal, and the IEEE JSAC journal (guest editor).
I am an ACM Distinguished Scientist, CCF Distinguished Member, IEEE Senior Member, an IEEE ComSoc Distinguished Lecturer and an ACM Distinguished Speaker. 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.
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
[2023.01] Six papers accepted to ICLR 2023 (2 Spotlight)!
[2022.12] I am named an ACM Distinguished Scientist!
[2022.12] I am invited to serve as an associate editor for Elsevier Performance Evaluation (PEVA)! Please consider submitting your work!
[2022.11] Paper “RePreM: Representation Pre-training with Masked Model for Reinforcement Learning” accepted to AAAI 2023!
[2022.09] Paper “Provable Generalization of Overparameterized Meta-learning Trained with SGD” accepted to NeurIPS 2022 (Spotlight, top 5.2%)!
[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)!
Contact
Longbo Huang
FIT Building, Room 1-208
Tsinghua University
Beijing, China, 100084
Email: longbohuang AT tsinghua.edu.cn