Graph-based Machine Learning for Wireless Communications

May 05, 2024

Conference tutorial, IEEE ICMLCN 2024, Stockholm, Sweden

• Slides
• Update: appendices on related publications, open source repositories, and python libraries are added (May 10, 2024).
• https://icmlcn2024.ieee-icmlcn.org/

Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks

April 18, 2024

Conference tutorial, IEEE ICASSP 2024, Seoul, Korea

Delay-aware Backpressure Routing Using Graph Neural Networks

June 08, 2023

Conference proceedings presentation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece

Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems

May 01, 2023

Conference proceedings presentation, ICLR 2023, Virtual Conference

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).

Ratings for Spectrum: Impacts of TV Viewership on TV Whitespace

December 10, 2014

Conference proceedings presentation, IEEE Global Communications Conference (GlobeCom'14), Austin, Texas

This is a presentation of paper at IEEE Global Communications Conference (GlobeCom’14) at Austin, Texas in Dec. 2014.

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.

Healthcare Reform: It Is All About Cost & Accountability

November 15, 2018

Course Project, UNL FINA 812: Life Insurance, Lincoln, Nebraska

This is the presentation of my group course project in CBA course FINA 812: Life Insurance lectured by Prof. Heather Clemens.

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.

High Frequency Trading: Explanation, Status, And Implication

May 07, 2017

Course Project, UNL FINA 855: Capital Markets and Financial Institutions, Lincoln, Nebraska

This is my group final essay in CBA course FINA 855: Capital Markets and Financial Institutions lectured by Dr. Emre Unlu.