Talks and presentations

Conferences

Distributed Link Sparsification for Scalable Scheduling using Graph Neural Networks

May 10, 2022

Conference proceedings presentation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Virtual Conference

The presentation of our paper "Distributed Link Sparsification for Scalable Scheduling using Graph Neural Networks" at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), during May 7-13, 2022.

Delay-oriented Distributed Scheduling using Graph Neural Networks

May 08, 2022

Conference proceedings presentation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Virtual Conference

The presentation of our paper "Delay-oriented Distributed Scheduling using Graph Neural Networks" at IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), during May 7-13, 2022.

Distributed Scheduling using Graph Neural Networks

June 08, 2021

Conference proceedings presentation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), Virtual Conference

Our paper “Distributed Scheduling using Graph Neural Networks” is presented at at 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Demo Presentation

A Cognitive Radio TV Prototype For Effective TV Spectrum Sharing

May 06, 2017

Demo presentation, IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), Baltimore, Maryland

This is a demonstration at 2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN’17) at Baltimore, Maryland.

Small Projects

On the Information Bottleneck Theory of Deep Learning

October 05, 2018

Course Project, UNL CSCE 990: Deep Learning Seminar, Lincoln, Nebraska

This is a presentation of other peoples’ papers in course UNL CSCE 990: Deep Learning Seminar lectured by Prof. Stepthen Scott and Prof. Vinodchandran N. Variyam in Fall 2018.