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

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Welcome to the Intelligence and Network Lab @ IIIS-Tsinghua! Our mission is to bridge theory and practice by conducting impactful interdisciplinary research related to intelligence and networked systems, including algorithms, 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

  • Optimization and machine learning

  • Sharing economy and market analysis

  • Online learning and data-driven control

  • 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 analysis, algorithm design, and system implementations. Please email us if you are interested.

Recent News

  • [2018.04] Papers ‘‘A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks’’ and ‘‘Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback’’ accepted to IJCAI-ECAI 2018!

  • [2018. 03] Dr. Huang will serve as a TPC member for IEEE INFOCOM 2019

  • [2018. 03] Paper ‘‘Loyalty Programs in the Sharing Economy: Optimality and Competition’’ accepted to ACM MobiHoc 2018!

  • [2017. 11] Paper ‘‘Timely-Throughput Optimal Scheduling with Prediction’’ accepted to IEEE INFOCOM 2018!

  • [2017. 10] Dr. Huang will serve as a TPC member for ACM MobiHoc 2018

  • [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!

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