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

  • [2018.11] Paper ‘‘A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems’’ accepted to AAAI 2019!

  • [2018.09] Paper ‘‘Multi-armed Bandits with Compensation’’ accepted to NIPS 2018!

  • [2018.08] Paper ‘‘Timely-Throughput Optimal Scheduling with Prediction’’ accepted to IEEE/ACM Transactions on Networking (TON)!

  • [2018.07] Dr. Huang will serve as the Publication Chair for ACM MobiHoc 2019

  • [2018.07] Dr. Huang will serve as a TPC member for ACM SIGMETRICS / IFIP Performance 2019

  • [2018.06] Dr. Huang won the 2018 ACM SIGMETRICS Rising Star Research Award!

  • [2018.06] Paper ‘‘Learning-aided Stochastic Network Optimization with Imperfect State Prediction’’ accepted to IEEE/ACM Transactions on Networking (TON)!

  • [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


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