Institut for Elektro- og Computerteknologi

Aarhus Universitets segl

Publications

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Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2023). Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. I 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (s. 559-564). IEEE. https://doi.org/10.1109/SSCI52147.2023.10371805
Bakhtiarnia, A., Milošević, N., Zhang, Q., Bajović, D. & Iosifidis, A. (2023). Dynamic Split Computing for Efficient Deep Edge Intelligence. I ICASSP 2023: 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE. https://doi.org/10.1109/ICASSP49357.2023.10096914
Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2023). PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. I 2023 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN54540.2023.10191962
Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2024). Efficient High-Resolution Deep Learning: A Survey. ACM Computing Surveys, 56(7), 1 - 35. Artikel 181. https://doi.org/10.1145/3645107
Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2024). ACCURATE GIGAPIXEL CROWD COUNTING BY ITERATIVE ZOOMING AND REFINEMENT. I ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (s. 6510-6514). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP48485.2024.10446065
Bagheri, H., Katz, M., Fitzek, F. H. P., Lucani Rötter, D. E. & Pedersen, M. V. (2014). D2D-Based Mobile Clouds for Energy- and Spectral-Efficient Content Distribution. I S. Mumtaz & J. Rodriguez (red.), Smart Device to Smart Device Communication (s. 237-280). Springer. https://doi.org/10.1007/978-3-319-04963-2
Antonsen, M. M., Liu, S., Xu, X., Steinbach, E., Chinello, F. & Zhang, Q. (2024). Digital Twin-empowered Model-Mediated Teleoperation using Multimodality Data with Signed Distance Fields. I 2024 IEEE Haptics Symposium, HAPTICS 2024 (s. 353-359). IEEE. https://doi.org/10.1109/HAPTICS59260.2024.10520841
Antonsen, M. M., Chinello, F. & Zhang, Q. (2024). Design Octree-Based Method to Improve Model-Mediated Teleoperation in Tactile Internet. I 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 (s. 15707-15713). IEEE. https://doi.org/10.1109/ICRA57147.2024.10610295
Alam, M. & Zhang, Q. (2017). Designing optimum mother constellation and codebooks for SCMA. I D. Gesbert, M. Debbah & A. Mellouk (red.), 2017 IEEE International Conference on Communications, ICC 2017: ICC Artikel 7996539 IEEE. https://doi.org/10.1109/ICC.2017.7996539
Alam, M. & Zhang, Q. (2017). Performance Study of SCMA Codebook Design. I E E E Wireless Communications and Networking Conference. Proceedings. https://doi.org/10.1109/WCNC.2017.7925767
Alam, M. & Zhang, Q. (2018). Enhanced Compressed Sensing Based Multiuser Detection for Machine Type Communication. I 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 (s. 1-6). IEEE. https://doi.org/10.1109/WCNC.2018.8377222
Alam, M. & Zhang, Q. (2018). Non-Orthogonal Multiple Access With Sequence Block Compressed Sensing Multiuser Detection for 5G. IEEE Access, 6, 63058 - 63070. Artikel 8509105. https://doi.org/10.1109/ACCESS.2018.2877477
Alam, M. & Zhang, Q. (2018). Sequence Block based Compressed Sensing Multiuser Detection for 5G. I 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings Artikel 8647750 IEEE. https://doi.org/10.1109/GLOCOM.2018.8647750
Alam, M. & Zhang, Q. (2019). Novel Codebook-based MC-CDMA with Compressive Sensing Multiuser Detection for Sporadic mMTC. I 2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings: Non-Orthogonal Multiple Access Techniques for 5G Workshop Artikel 8644174 IEEE. https://doi.org/10.1109/GLOCOMW.2018.8644174
Alam, M. & Zhang, Q. (2019). QoS-aware NOMA with Sequence Block Compressed Sensing Multiuser Detection. I 2019 IEEE Wireless Communications and Networking Conference, WCNC 2019 Artikel 8885427 IEEE. https://doi.org/10.1109/WCNC.2019.8885427
Alam, M. & Zhang, Q. (2021). A Survey: Nonorthogonal Multiple Access with Compressed Sensing Multiuser Detection for mMTC. Wireless Communications and Mobile Computing, 2021, Artikel 8840519. https://doi.org/10.1155/2021/8840519
AI, S., Kolhe, M., Jiao, L., Ullveit-Moe, N. & Zhang, Q. (2015). Domestic Demand Predictions Considering Influence of External Environmental Parameters. I Proceedings of 2015 13th IEEE International Conference on Industrial Informatics (INDIN) (s. 640-644). IEEE. https://doi.org/10.1109/INDIN.2015.7281810

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Revideret 13.11.2025
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Daniel Enrique Lucani Rötter