A phase retrieval method for signals in modulation-invariant spaces. - Volker Pohl; Çagkan Yapar; Holger Boche; Fanny Yang (ICASSP, 2014)

Fast compressive phase retrieval from Fourier measurements. - Çagkan Yapar; Volker Pohl; Holger Boche (ICASSP, 2015)

Compressive phase retrieval of sparse bandlimited signals. - Çagkan Yapar; Volker Pohl; Holger Boche (CoRR, 2015)

Spatially Scalable Lossy Coded Caching. - Mozhgan Bayat; Çagkan Yapar; Giuseppe Caire (ISWCS, 2018)

On D2D Caching with Uncoded Cache Placement. - Çagkan Yapar; Kai Wan; Rafael F. Schaefer; Giuseppe Caire (ISIT, 2019)

On the Optimality of D2D Coded Caching With Uncoded Cache Placement and One-Shot Delivery. - Çagkan Yapar; Kai Wan; Rafael F. Schaefer; Giuseppe Caire (IEEE Trans. Commun., 2019)

Pathloss Prediction using Deep Learning with Applications to Cellular Optimization and Efficient D2D Link Scheduling. - Ron Levie; Çagkan Yapar; Gitta Kutyniok; Giuseppe Caire (ICASSP, 2020)

Real-time Localization Using Radio Maps. - Çagkan Yapar; Ron Levie; Gitta Kutyniok; Giuseppe Caire (CoRR, 2020)

RadioUNet: Fast Radio Map Estimation With Convolutional Neural Networks. - Ron Levie; Çagkan Yapar; Gitta Kutyniok; Giuseppe Caire (IEEE Trans. Wirel. Commun., 2021)

LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning. - Çagkan Yapar; Ron Levie; Gitta Kutyniok; Giuseppe Caire (ICASSP, 2022)

On the Effective Usage of Priors in RSS-based Localization. - Çagkan Yapar; Fabian Jaensch; Ron Levie; Giuseppe Caire (CoRR, 2022)

Dataset of Pathloss and ToA Radio Maps With Localization Application. - Çagkan Yapar; Ron Levie; Gitta Kutyniok; Giuseppe Caire (CoRR, 2022)

Dataset of Pathloss and ToA Radio Maps with Localization Application. - Çagkan Yapar; Ron Levie; Gitta Kutyniok; Giuseppe Caire (IEEE DataPort, 2022)

The First Pathloss Radio Map Prediction Challenge. - Çagkan Yapar; Fabian Jaensch; Ron Levie; Gitta Kutyniok; Giuseppe Caire (ICASSP, 2023)

Overview of the Urban Wireless Localization Competition. - Çagkan Yapar; Fabian Jaensch; Ron Levie; Gitta Kutyniok; Giuseppe Caire (MLSP, 2023)

Deep learning-based pathloss radio map estimation and its application to RSS fingerprint-based localization (Tiefes-Lernen-basierte Pfadverlust-Radio-Map-Schätzung und ihre Anwendung auf die RSS-Fingerabdruck-basierte Lokalisierung) - Çagkan Yapar (2023)

Real-Time Outdoor Localization Using Radio Maps: A Deep Learning Approach. - Çagkan Yapar; Ron Levie; Gitta Kutyniok; Giuseppe Caire (IEEE Trans. Wirel. Commun., 2023)

Demucs for Data-Driven RF Signal Denoising. - Çagkan Yapar; Fabian Jaensch; Jan Christian Hauffen; Francesco Pezone; Peter Jung 001; Saeid K. Dehkordi; Giuseppe Caire (ICASSP Workshops, 2024)

Indoor Radio Map Dataset. - Stefanos Bakirtzis; Çagkan Yapar; Kehai Qui; Ian J. Wassell; Jie Zhang 003 (IEEE DataPort, 2024)

The First Indoor Pathloss Radio Map Prediction Challenge. - Stefanos Bakirtzis; Çagkan Yapar; Kehai Qiu; Ian J. Wassell; Jie Zhang 003 (ICASSP, 2025)

Empowering Wireless Network Applications with Deep Learning-Based Radio Propagation Models. - Stefanos Bakirtzis; Çagkan Yapar; Marco Fiore 001; Jie Zhang 003; Ian J. Wassell (IEEE Wirel. Commun., 2025)