K4: In-Person Posters VII |
Session Type: Poster |
Time: Tuesday, November 1, 15:30 - 17:00 |
Location: Kiln |
K4.1: Channel Charting for Beam Management in Sub-THz Systems |
Patrick Agostini; Fraunhofer Heinrich Hertz Institute |
Zoran Utkovski; Fraunhofer Heinrich Hertz Institute |
Slawomir Stanczak; Fraunhofer Heinrich Hertz Institute |
K4.2: Channel Estimation based on Gaussian Mixture Models with Structured Covariances |
Benedikt Fesl; Technische Universität München |
Michael Joham; Technische Universität München |
Sha Hu; Huawei Sweden Technologies AB |
Michael Koller; Technische Universität München |
Nurettin Turan; Technische Universität München |
Wolfgang Utschick; Technische Universität München |
K4.3: Broadcast Capacity of Massive Random Access |
Wei Yu; University of Toronto |
Ryan Song; University of Toronto |
Kareem M. Attiah; University of Toronto |
K4.4: Beam Codebook Design for Joint Initial Access and Localization in mmWave Networks |
Murat Bayraktar; North Carolina State University |
Cristian Rusu; University of Bucharest |
Nuria Gonzalez Prelcic; North Carolina State University |
Charlie Jianzhong Zhang; Samsung Research America |
K4.5: Active Sensing for Two-Sided Beam Alignment Using Ping-Pong Pilots |
Tao Jiang; University of Toronto |
Foad Sohrabi; University of Toronto |
Wei Yu; University of Toronto |
K4.6: The DASH SoC: Enabling the Next Generation of Multi-Function RF Systems |
Adarsh Venkataramani; Arizona State University |
Alex Chiriyath; Arizona State University |
Arindam Dutta; Arizona State University |
Andrew Herschfelt; Arizona State University |
Daniel Bliss; Arizona State University |
K4.7: An Inverted L-Shaped Multi-Layer Reconfigurable Intelligent Surface for THz Communications |
Sandy Saab; Samsung Research America |
Shadi Abu Surra; Samsung Research America |
Gary Xu; Samsung Research America |
Robert Heath Jr.; North Carolina State University |
K4.8: Disentangling Learnable and Memorizable Data via Contrastive Learning for Semantic Communications |
Christina Chaccour; Virginia Tech |
Walid Saad; Virginia Tech |
K4.9: Matching of Markov Databases Under Random Column Repetitions |
Serhat Bakirtas; New York University |
Elza Erkip; New York University |
K4.10: Harvesting Curvatures for Communication-Efficient Distributed Optimization |
Diogo Cardoso; Carnegie Mellon University |
Boyue Li; Carnegie Mellon University |
Yuejie Chi; Carnegie Mellon University |
João Xavier; Instituto Superior Técnico |
K4.11: Tracking the Adjacency Spectral Embedding for Streaming Graphs |
Federico Larroca; Facultad de Ingeniería, Universidad de la República |
Paola Bermolen; Facultad de Ingeniería, Universidad de la República |
Marcelo Fiori; Facultad de Ingeniería, Univeresidad de la República |
Bernardo Marenco; Facultad de Ingeniería, Universidad de la República |
Gonzalo Mateos; University of Rochester |
K4.12: Fairness-aware Graph Attention Networks |
O. Deniz Kose; University of California, Irvine |
Yanning Shen; University of California, Irvine |
K4.13: Towards Bayesian Learning of the Architecture, Graph and Parameters for Graph Neural Networks |
Antonios Valkanas; McGill University |
André-Walter Panzini; McGill University |
Mark Coates; McGill University |
K4.14: Hypergraph 1-Spectral Clustering with General Submodular Weights |
Yu Zhu; Rice university |
Boning Li; Rice university |
Santiago Segarra; Rice university |
K4.15: SPEEDING UP THE FRANK-WOLFE METHOD USING THE ORTHOGONAL JACOBI POLYNOMIALS |
Robin Francis; Indian Institute of Science |
Sundeep Prabhakar Chepuri; Indian Institute of Science |