| Wireless image retrieval at the edge M Jankowski, D Gündüz, K Mikolajczyk IEEE Journal on Selected Areas in Communications 39 (1), 89-100, 2020 | 190 | 2020 |
| Joint device-edge inference over wireless links with pruning M Jankowski, D Gündüz, K Mikolajczyk 2020 IEEE 21st international workshop on signal processing advances in …, 2020 | 87 | 2020 |
| Communicate to learn at the edge D Gündüz, DB Kurka, M Jankowski, MM Amiri, E Ozfatura, S Sreekumar IEEE Communications Magazine 58 (12), 14-19, 2020 | 70 | 2020 |
| Deep joint source-channel coding for wireless image retrieval M Jankowski, D Gündüz, K Mikolajczyk ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 58 | 2020 |
| DeepJSCC-Q: Constellation constrained deep joint source-channel coding TY Tung, DB Kurka, M Jankowski, D Gündüz IEEE Journal on Selected Areas in Information Theory 3 (4), 720-731, 2022 | 57 | 2022 |
| Federated mmWave beam selection utilizing LIDAR data MB Mashhadi, M Jankowski, TY Tung, S Kobus, D Gündüz IEEE Wireless Communications Letters 10 (10), 2269-2273, 2021 | 54 | 2021 |
| LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and Curriculum Training M Zecchin, M Boloursaz Mashhadi, M Jankowski, D Gunduz, ... IEEE Transactions on Vehicular Technology, 12, 2022 | 50 | 2022 |
| Deepjscc-q: Channel input constrained deep joint source-channel coding TY Tung, DB Kurka, M Jankowski, D Gündüz ICC 2022-IEEE International Conference on Communications, 3880-3885, 2022 | 25 | 2022 |
| Airnet: Neural network transmission over the air M Jankowski, D Gündüz, K Mikolajczyk IEEE Transactions on Wireless Communications, 2024 | 20 | 2024 |
| Deep joint transmission-recognition for power-constrained Iot devices M Jankowski, D Gündüz, K Mikolajczyk arXiv preprint arXiv:2003.02027, 2020 | 7 | 2020 |
| Proposition of the methodology of the robotised part replication implemented in industry 4.0 paradigm M Nazarczuk, M Cader, M Kowalik, M Jankowski Conference on Automation, 457-472, 2019 | 4 | 2019 |
| Deep joint transmission-recognition for multi-view cameras E Ozyilkan, M Jankowski arXiv preprint arXiv:2011.01902, 2020 | 2 | 2020 |
| Adaptive Early Exiting for Collaborative Inference over Noisy Wireless Channels M Jankowski, D Gündüz, K Mikolajczyk 2024 IEEE International Conference on Machine Learning for Communication and …, 2024 | 1 | 2024 |
| COMMUNICATION TECHNOLOGIES FOR EFFICIENT EDGE LEARNING D Gündüz, DB Kurka, M Jankowski, MM Amiri, E Ozfatura, S Sreekumar, ... IEEE Communications Magazine, 2, 2020 | | 2020 |
| Proposition of the Methodology of the Robotised Part Replication Implemented in Industry 4.0 Paradigm M Jankowski Automation 2019: Progress in Automation, Robotics and Measurement Techniques …, 2019 | | 2019 |
| Isocyanic acid: methodologies for generation, sampling and measurement in workroom air MJ Jankowski Norwegian University of Life Sciences, Ås, 2018 | | 2018 |
Deniz GunduzProfessor of Information Processing, Imperial College LondonE-mail confirmado em imperial.ac.uk