Longbo Huang
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Welcome to my homepage! I am an assistant professor in the Institute for Interdisciplinary Information Sciences (IIIS) @ Tsinghua University. I direct the Intelligence and Network Lab@IIIS (智能与网络实验室).
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, working with 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 the Institute of Network Coding @ 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 was selected into China's Youth 1000-talent program (青年千人计划) in 2013, and was awarded the Tsinghua University Distinguished Teaching Award (良师益友) in 2014. Here is an interview article about me by CCCF in 2014. I serve as an associate editor for the ACM ToMPECS journal. I am a senior member of IEEE and a member of ACM.
My research interests lie in the areas of online learning, network optimization, online algorithm design, networking, smart grid and sharing economy (see Research).
Students (招生): I am constantly looking for highly motivated students (undergrad and graduate) who are interested in learning and optimization, stochastic modeling and performance analysis, algorithm design, and system implementations. Please email me if you are interested.
Recent News
[2017.07] I will serve as the publicity chair for ACM e-Energy 2018
[2017.06] Paper ‘‘Intelligence of Smart Systems: Model, Bounds and Algorithms’’ accepted to IEEE/ACM Transactions on Networking (TON)!
[2017. 05] I will serve as the workshop chair for ACM Sigmetrics 2018
[2017. 04] Paper ‘‘Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization’’ accepted to IJCAI 2017!
[2017. 04] Paper ‘‘Learning-aided Stochastic Network Optimization with Imperfect State Prediction’’ accepted to ACM MobiHoc 2017!
[2017. 03] I will serve as a TPC member for ACM Sigmetrics 2018
[2017. 03] I will serve as a TPC member for IEEE INFOCOM 2018
Contact
Longbo Huang
FIT Building, Room 1-208
Tsinghua University
Beijing, China, 100084
Email: longbo.huang AT gmail DOT com OR longbohuang AT tsinghua.edu.cn