Intelligence and Network Lab (智能与网络实验室) @ IIIS-Tsinghua

alt text 

Welcome to the Intelligence and Network Lab @ IIIS-Tsinghua! Our mission is to bridge theory and practice by conducting impactful interdisciplinary research related to general intelligent networked systems, including algorithm design, analysis, optimization and implementation, using state-of-the-art mathematical and technology techniques.

We are generally interested in the following fields (see Research for recent highlights):

  • Stochastic modeling and analysis

  • Big data analytics and machine learning

  • Sharing economy and market analysis

  • Online learning and optimization

  • Intelligent network control and algorithms

  • System implementation and evaluation

Recruiting (招生): We are 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 us if you are interested.

Recent News

  • [2017.09] Dr. Huang is invited to serve as an Editor for IEEE Transactions on Communications (TCOM)

  • [2017.07] Dr. Huang 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] Dr. Huang will serve as the workshop chair for ACM Sigmetrics 2018

  • [2017. 05] Group Alumni Dr. Xiaohong Hao received the Best Paper Award from IPSN 2017! Congrats!

  • [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] Dr. Huang will serve as a TPC member for ACM Sigmetrics 2018

  • [2017. 03] Dr. Huang will serve as a TPC member for IEEE INFOCOM 2018

  • [2017. 02] Lab webpage online!


Longbo Huang
FIT Building, Room 1-208
Tsinghua University
Beijing, China, 100084
Email: longbo.huang AT gmail DOT com OR longbohuang AT