Graph-based Machine Learning for Wireless Communications
Conference tutorial, IEEE MILCOM 2024, Washington DC, USA
Talks and presentations
Conferences
Graph-based Machine Learning for Wireless Communications
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
Conference tutorial, IEEE ICASSP 2024, Seoul, Korea
Delay-aware Backpressure Routing Using Graph Neural Networks
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
Conference proceedings presentation, ICLR 2023, Virtual Conference
Distributed Link Sparsification for Scalable Scheduling using Graph Neural Networks
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
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
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
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.
Demo Presentation
A Cognitive Radio TV Prototype For Effective TV Spectrum Sharing
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
Healthcare Reform: It Is All About Cost & Accountability
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
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
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.