Longbo Huang
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Welcome to my homepage! I am a 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. I was then a postdoctoral researcher in the EECS department @ UC Berkeley. 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 TPAMI journal, the Elsevier PEVA journal, the IEEE/ACM ToN journal, the ACM ToMPECS journal, the IEEE TCOM journal, and the IEEE JSAC journal (guest editor).
I am an ACM Distinguished Member, 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 safe 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
[2024.09] Paper ‘‘Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks’’ accepted to Sigmetrics 2025!
[2024.09] Paper ‘‘Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training’’ accepted to NeurIPS 2024!
[2024.05] Three papers accepted to ICML 2024!
[2024.02] Paper “When Lyapunov Drift Based Queue Scheduling Meets Adversarial Bandit Learning” accepted to IEEE/ACM Transactions on Networking!
[2024.01] I am invited to serve as the TPC Co-Chair for IEEE WiOpt 2024. Please consider submitting your work!
[2024.01] I am invited to serve as an area chair for UAI 2024! Please consider submitting your work!
[2024.01] Two papers accepted to ICLR 2024!
[2023.12] Paper “Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning” accepted to IEEE/ACM Transactions on Networking!
[2023.08] Congratulations to Dr. Pan Ling for joining ECE@HKUST as a tenure-track Assistant Professor in Spring 2024!
[2023.06] Congratulations to Ms. Yihan Du, Ms. Yuanying Cai, and Ms. Yu Huang for their graduation! Dr. Du will join UIUC as a postdoc, Dr. Cai will join industry, and Ms. Huang will join Wharton as a Ph.D. student!
[2023.04] Two papers accepted to ICML 2023!
[2023.04] I am invited to serve as an associate editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)! Please consider submitting your work!
[2023.01] Six papers accepted to ICLR 2023 (2 Spotlight)!
Contact
Longbo Huang
FIT Building, Room 1-208
Tsinghua University
Beijing, China, 100084
Email: longbohuang AT tsinghua.edu.cn