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
Login Paper Search My Schedule Paper Index Help

My ICASSP 2021 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)
Click on the icon to view the manuscript on IEEE XPlore in the IEEE ICASSP 2021 Open Preview.

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

SPCOM-9: Online and Active Learning for Communications

Session Type: Poster
Time: Friday, 11 June, 14:00 - 14:45
Location: Gather.Town
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