SPCOM-9: Online and Active Learning for Communications |
Session Type: Poster |
Time: Friday, 11 June, 14:00 - 14:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Mingyi Hong, University of Minnesota |
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 |