Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks. - Kevin Potter; Steven Sleder; Matthew Smith; Shehan Perera; Alper Yilmaz; John Tencer (ICCVW, 2021)

Building representative and balanced datasets of OpenMP parallel regions. - Jordi Alcaraz; Steven Sleder; Ali Tehrani Jamsaz; Anna Sikora; Ali Jannesari; Joan Sorribes; Eduardo César (PDP, 2021)

Towards a Meta-Learning Assisted Universal Neural Receiver: An Empirical Study. - Yufan Wei; Wei Ye 009; Steven Sleder; Zhi-Li Zhang (6GNet, 2024)

Dissecting Carrier Aggregation in 5G Networks: Measurement, QoE Implications and Prediction. - Wei Ye 009; Xinyue Hu; Steven Sleder; Anlan Zhang; Udhaya Kumar Dayalan; Ahmad Hassan; Rostand A. K. Fezeu; Akshay Jajoo; Myungjin Lee; Eman Ramadan; Feng Qian 001; Zhi-Li Zhang (SIGCOMM, 2024)

Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation. - Kevin M. Potter; Carianne Martinez; Reina Pradhan; Samantha J. Brozak; Steven Sleder; Lauren Wheeler (CoRR, 2024)

Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction. - Konstantinos D. Polyzos; Alireza Sadeghi; Wei Ye 009; Steven Sleder; Kodjo Houssou; Jeff Calder; Zhi-Li Zhang; Georgios B. Giannakis (IEEE Trans. Wirel. Commun., 2024)

Teleoperating Autonomous Vehicles over Commercial 5G Networks: Are We There Yet? - Rostand A. K. Fezeu; Jason Carpenter; Rushikesh Zende; Sree Ganesh Lalitaditya Divakarla; Nitin Varyani; Faaiq Bilal; Steven Sleder; Nanditha Naik; Duncan Joly; Eman Ramadan; Ajay Kumar Gurumadaiah; Zhi-Li Zhang (CoRR, 2025)