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Longbo Huang

Dr. Longbo Huang is an associate professor (with tenure) at the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University, Beijing, China. Dr. Huang has held visiting positions at the LIDS lab at MIT, the Chinese University of Hong Kong, Bell-labs France, Microsoft Research Asia (MSRA), and the Simons Institute for the Theory of Computing at UC Berkeley. Dr. Huang serves/served on 40+ TPCs and 10+ organizing committees for IEEE/ACM/AI conferences, including the General Chair for ACM Sigmetrics 2021, the TPC co-chair for ITC 2022, WiOpt 2020 and NetEcon 2020. Dr. Huang serves on the editorial board for ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS) and IEEE/ACM Transactions on Networking (ToN). Dr. Huang received the Outstanding Teaching Award from Tsinghua university in 2014, the Google Research Award and the Microsoft Research Asia Collaborative Research Award in 2014, and was selected into the MSRA StarTrack Program in 2015. Dr. Huang won the ACM SIGMETRICS Rising Star Research Award in 2018.

Lecture Topics
  • Efficient and Robust Deep Reinforcement Learning
  • Learning and Network Control
  • Online Learning and Optimization
Virtual Lecture Topics
  • Efficient and Robust Deep Reinforcement Learning
  • Learning and Network Control
  • Online Learning and Optimization
Email Address
longbohuang@tsinghua.edu.cn
Lecture Term Date
Location
China