A highly efficient recurrent neural network architecture for data regression. - Tolga Ergen; Emir Ceyani (SIU, 2018)

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. - Chaoyang He 001; Keshav Balasubramanian; Emir Ceyani; Yu Rong 001; Peilin Zhao; Junzhou Huang; Murali Annavaram; Salman Avestimehr (CoRR, 2021)

SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks. - Chaoyang He 001; Emir Ceyani; Keshav Balasubramanian; Murali Annavaram; Salman Avestimehr (CoRR, 2021)

SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data. - Chaoyang He 001; Emir Ceyani; Keshav Balasubramanian; Murali Annavaram; Salman Avestimehr (AAAI, 2022)

One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis. - Onat Dalmaz; Muhammad Usama Mirza; Gökberk Elmas; Muzaffer Özbey; Salman Ul Hassan Dar; Emir Ceyani; Salman Avestimehr; Tolga Çukur (CoRR, 2022)

Federated Learning of Generative Image Priors for MRI Reconstruction. - Gökberk Elmas; Salman Ul Hassan Dar; Yilmaz Korkmaz; Emir Ceyani; Burak Susam; Muzaffer Özbey; Salman Avestimehr; Tolga Çukur (IEEE Trans. Medical Imaging, 2023)

One model to unite them all: Personalized federated learning of multi-contrast MRI synthesis. - Onat Dalmaz; Muhammad Usama Mirza; Gökberk Elmas; Muzaffer Özbey; Salman Ul Hassan Dar; Emir Ceyani; Kader Karli Oguz; Salman Avestimehr; Tolga Çukur (Medical Image Anal., 2024)

FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling. - Emir Ceyani; Han Xie; Baturalp Buyukates; Carl Yang 001; Salman Avestimehr (SDM, 2025)

FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design. - Asal Mehradfar; Xuzhe Zhao; Yilun Huang 006; Emir Ceyani; Yankai Yang; Shihao Han; Hamidreza Aghasi; Salman Avestimehr (CoRR, 2025)