2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

SPCOM-9: Online and Active Learning for Communications

Session Type: Poster
Time: Friday, 11 June, 14:00 - 14:45
Location: Gather.Town
 
SPCOM-9.1: DEEP ACTIVE LEARNING APPROACH TO ADAPTIVE BEAMFORMING FOR MMWAVE INITIAL ALIGNMENT
         Foad Sohrabi; University of Toronto
         Zhilin Chen; University of Toronto
         Wei Yu; University of Toronto
 
SPCOM-9.2: LEARNING TO CONTINUOUSLY OPTIMIZE WIRELESS RESOURCE IN EPISODICALLY DYNAMIC ENVIRONMENT
         Haoran Sun; University of Minnesota
         Wenqiang Pu; The Chinese University of Hong Kong, Shenzhen
         Minghe Zhu; The Chinese University of Hong Kong, Shenzhen
         Xiao Fu; Oregon State University
         Tsung-Hui Chang; The Chinese University of Hong Kong, Shenzhen
         Mingyi Hong; University of Minnesota
 
SPCOM-9.3: ADAPTIVE CONTENTION WINDOW DESIGN USING DEEP Q-LEARNING
         Abhishek Kumar; Rice University
         Gunjan Verma; US Army's CCDC Army Research Laboratory
         Chirag Rao; US Army's CCDC Army Research Laboratory
         Ananthram Swami; US Army's CCDC Army Research Laboratory
         Santiago Segarra; Rice University
 
SPCOM-9.4: ON INFORMATION ASYMMETRY IN ONLINE REINFORCEMENT LEARNING
         Ezra Tampubolon; Technical University of Munich
         Haris Ceribasic; Technical University of Munich
         Holger Boche; Technical University of Munich
 
SPCOM-9.5: JAMMING STRATEGY GENERATION FOR HIDDEN COMMUNICATION MODES VIA GRAPH CONVOLUTION NETWORKS
         Fanxiang Kong; University of Electronic Science and Technology of China
         Qiang Li; University of Electronic Science and Technology of China
         Huaizong Shao; University of Electronic Science and Technology of China
 
SPCOM-9.6: CONTRASTIVE SELF-SUPERVISED LEARNING FOR WIRELESS POWER CONTROL
         Navid Naderializadeh; HRL Laboratories, LLC