Dr. Longbo Huang is an associate professor (with tenure) at the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University, Beijing, China. He received his Ph.D. in EE from the University of Southern California, and then worked as a postdoctoral researcher in the EECS dept. at University of California at Berkeley before joining Tsinghua. Dr. Huang’s research focuses on decision intelligence (AI for Decisions), including deep reinforcement learning, online learning and reinforcement learning, stochastic network optimization, distributed optimization and machine learning. Dr. Huang has held visiting positions at the LIDS lab at MIT, the Chinese University of Hong Kong, Bell-labs France, and Microsoft Research Asia (MSRA). He was a long-term visiting scientist at the Simons Institute for the Theory of Computing at UC Berkeley in Fall 2016. Dr. Huang serves/served on 50+ TPCs and 10+ organizing committees for ACM/AI/IEEE conferences, including the General Chair for ACM Sigmetrics 2021, the TPC co-chair for ITC 2022, WiOpt 2020 and NetEcon 2020. Dr. Huang serves/served on the editorial board for IEEE Journal on Selected Areas in Communications Special Issue on Human-in-the-loop Mobile Network (Lead guest editor 2016), IEEE Transactions on Communications (TCOM 2017-2020), ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS 2017-present), and IEEE/ACM Transactions on Networking (ToN, 2019-present). He is a senior member of ACM and IEEE, an IEEE ComSoc Distinguished Lecturer, and an ACM Distinguished Speaker. Dr. Huang received 5 best paper nomination/premier paper recognitions at top-tier conferences, including NeurIPS 2021 (Oral presentation, top 1%), AAMAS 2020 (Invited to fast-track publication at JAAMAS, top 5%), IEEE INFOCOM 2018 (Invited to fast-track review to IEEE TNSE, 7 out of 312 accepted papers), ACM e-Energy 2016 (Best paper runner-up) and ACM MobiHoc 2014 (Best paper candidate). He 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.
To request a single lecture/event, click on the desired lecture and complete the Request Lecture Form.
Designing Efficient and Robust Deep Reinforcement Learning Algorithms
Deep reinforcement learning (DRL) has received much attention and finds successful applications in various important fields, including games, robotics, transportation and science. Despite its...
To request a tour with this speaker, please complete this online form.
If you are not requesting a tour, click on the desired lecture and complete the Request this Lecture form.
All requests will be sent to ACM headquarters for review.