IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
MLSP-L6: Machine Learning for Communications
Tue, 24 May, 16:00 - 18:00 China Time (UTC +8)
Tue, 24 May, 08:00 - 10:00 UTC
Location: Peony Ballroom 4501AB, 4502-3
Session Co-Chairs: Zhongyuan Zhao, Rice University and Nir Shlezinger, Ben-Gurion University
Track: Machine Learning for Signal Processing

MLSP-L6.2: SYMBOL-LEVEL ONLINE CHANNEL TRACKING FOR DEEP RECEIVERS

Ron Aharon Finish, Yoav Cohen, Tomer Raviv, Nir Shlezinger, Ben-Gurion University of the Negev, Israel

MLSP-L6.3: DELAY-ORIENTED DISTRIBUTED SCHEDULING USING GRAPH NEURAL NETWORKS

Zhongyuan Zhao, Santiago Segarra, Rice University, United States of America; Gunjan Verma, Ananthram Swami, US Army’s DEVCOM Army Research Laboratory, United States of America

MLSP-L6.4: DYNAMIC RESOURCE OPTIMIZATION FOR ADAPTIVE FEDERATED LEARNING EMPOWERED BY RECONFIGURABLE INTELLIGENT SURFACES

Claudio Battiloro, Paolo Di Lorenzo, Sergio Barbarossa, Sapienza University of Rome, Italy; Mattia Merluzzi, CEA-Leti, Université Grenoble Alpes, France

MLSP-L6.5: LEARNING-BASED RESOURCE ALLOCATION WITH DYNAMIC DATA RATE CONSTRAINTS

Pourya Behmandpoor, Panagiotis Patrinos, Marc Moonen, KU Leuven, Belgium

MLSP-L6.6: DEEP LEARNING BASED PASSIVE BEAMFORMING FOR IRS-ASSISTED MONOSTATIC BACKSCATTER SYSTEMS

Sahar Idrees, Xiaolun Jia, Saud Khan, Salman Durrani, Xiangyun Zhou, Australian National University, Australia

MLSP-L6.7: DEEP-LEARNING-ASSISTED CONFIGURATION OF RECONFIGURABLE INTELLIGENT SURFACES IN DYNAMIC RICH-SCATTERING ENVIRONMENTS

Kyriakos Stylianopoulos, George Alexandropoulos, National and Kapodistrian University of Athens, Greece; Nir Shlezinger, Ben-Gurion University of the Negev, Israel; Philipp del Hougne, Univ Rennes, France

MLSP-L6.8: GOAL-ORIENTED COMMUNICATION FOR EDGE LEARNING BASED ON THE INFORMATION BOTTLENECK

Francesco Pezone, Sergio Barbarossa, Paolo Di Lorenzo, Sapienza University of Rome, Italy