Antonsen, M. M., Chinello, F. & Zhang, Q. (Accepteret/In press). Design Octree-Based Method to Improve Model-Mediated Teleoperation in Tactile Internet. I International Conference on Robotics and Automation (ICRA)

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

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

Gomes, C., Lucani Rötter, D. E., Iosifidis, A., Feng, H., Ejersbo, H. & Frasheri, M. (2024). Sensing and Communication of Data from the Physical Twin. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 147-171). Springer. https://doi.org/10.1007/978-3-031-66719-0_7#citeas

Hurst, A., Lucani Rötter, D. E. & Zhang, Q. (2024). PairwiseHist: Fast, Accurate, and Space-Efficient Approximate Query Processing with Data Compression. I M. Zhang & C. Shahabi (red.), Proceedings of the VLDB Endowment (6 udg., Bind 17, s. 1432 - 1445) https://doi.org/10.14778/3648160.3648181

Kretsis, A., Kokkinos, P., Varvarigos, E., Syrivelis, D., Bakopoulos, P., Sipos, M., Fehér, M., Lucani Rötter, D. E., Bernabe, J. M., Skarmeta, A., Paez, I., Cominardi, L., Mercier, M., Velho, P., Georgiou, Y., Mainas, C., Nanos, A., Martin, J., Fernandez Gomez, A. ... Chintamani, K. (2024). EMPYREAN: Trustworthy, Cognitive and AI-driven Collaborative Associations of IoT Devices and Edge Resources for Data Processing. I HPDC 2024 - Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing (s. 385 - 388). Association for Computing Machinery. https://doi.org/10.1145/3625549.3658814

Larsen, P. G., Fitzgerald, J., Gomes, C., Woodcock, J., Basagiannis, S., Ulisse, A., Esterle, L., Lucani Rötter, D. E., Hansen, S. T. & Oakes, B. J. (2024). Future Directions and Challenges. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 363-386). Springer. https://doi.org/10.1007/978-3-031-66719-0_15

Rask, C. D. & Lucani Rötter, D. E. (Accepteret/In press). RAGE for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications. I IEEE International Conference on Image Processing (ICIP) IEEE.

Taurone, F., Fehér, M., Sipos, M. & Lucani Rötter, D. E. (2024). TREAT - Two wRongs makE A righT: Efficient distributed storage and queries of IoT datasets with erasure coding and compression. I DEBS 2024: Proceedings of the 18th ACM International Conference on Distributed and Event-Based Systems (s. 147-158). Association for Computing Machinery. https://doi.org/10.1145/3629104.3666039

Taurone, F., Dorsch, J., Lucani Rötter, D. E. & Zhang, Q. (Accepteret/In press). triaGeD: using compression for anomaly detection. I Data Compression Conference IEEE.

Taurone, F., Dorsch, J., Zhang, Q. & Lucani Rötter, D. E. (Accepteret/In press). TRIC: Triage Compressed Data at the Edge for Efficient Data Transmission in Anomaly Detection. I IEEE Globecom Workshops IEEE.

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

Cavagna, A., Li, N., Iosifidis, A. & Zhang, Q. (2023). Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications. I 2023 IEEE International Conference on Communications Workshops (ICC Workshops) (s. 1617-1622). IEEE. https://doi.org/10.1109/ICCWorkshops57953.2023.10283786

Ghassabi, K., Pahlevani, P. & Lucani Rötter, D. E. (2023). Deduplication of Textual Data by NLP Approaches. I 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring) IEEE. https://doi.org/10.1109/VTC2023-Spring57618.2023.10199538

Li, N., Iosifidis, A. & Zhang, Q. (2023). Attention-Based Feature Compression for CNN Inference Offloading in Edge Computing. I M. Zorzi, M. Tao & W. Saad (red.), ICC 2023 - IEEE International Conference on Communications (s. 967-972). IEEE. https://doi.org/10.1109/ICC45041.2023.10279110

Li, H., Zhang, Q. & Kuldeep, G. (2023). Demo: 3TierView: A Three-tier Privacy-preserving Live Video Surveillance IoT System. I MobiSys '23: Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services (s. 594–595). Association for Computing Machinery. https://doi.org/10.1145/3581791.3597289

Li, N., Bennis, M., Iosifidis, A. & Zhang, Q. (Accepteret/In press). Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. I IEEE Globecom 2023 IEEE. https://arxiv.org/pdf/2305.12796.pdf

Taurone, F., Lucani Rötter, D. E. & Zhang, Q. (Accepteret/In press). Change a Bit to save Bytes: Compression for Floating Point Time-Series Data. I IEEE International Conference on Communications (ICC) IEEE.

Taurone, F., Lucani Rötter, D. E., Fehér, M. & Zhang, Q. (Accepteret/In press). Lossless preprocessing of floating point data to enhance compression. I International Conference on Distributed Computing and Artificial Intelligence Springer.

Taurone, F., Lucani Rötter, D. E. & Zhang, Q. (Accepteret/In press). Zip to Zip-it: Compression to Achieve Local Differential Privacy. I IEEE Global Communications Conference IEEE.

Wang, X., Mukherjee, M., Kumar, V., Mavromoustakis, C. X., Shoufan, A., Guo, M. & Zhang, Q. (Accepteret/In press). Rendering Delay Minimization in RIS-assisted Edge Computing for IIoT with VR Streaming. I IEEE Globecom, 3rd Workshop on Sustainable and Resilient Industrial Networks, 2023

Fehér, M., Lucani Rötter, D. E., Hansen, M. T. & Vester, F. E. (2022). Stream Compression of DLMS Smart Meter Readings. I ICC 2022 - IEEE International Conference on Communications (s. 5517-5522). IEEE. https://doi.org/10.1109/ICC45855.2022.9838758

Gu, X., Wang, X., Feng, Y., Long, Y., Mukherjee, M., Pan, Z., Guo, M. & Zhang, Q. (2022). Demo: TINGLE: Pushing Edge Intelligence in Synchronization and Useful Data Transfer for Human-Robotic Arm Interactions. I INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops IEEE. https://doi.org/10.1109/INFOCOMWKSHPS54753.2022.9798353

Hosseinzadeh, M., Wachal, A., Khamfroush, H. & Lucani Rötter, D. E. (2022). QoS-Aware Priority-Based Task Offloading for Deep Learning Services at the Edge. I 2022 IEEE Annual Consumer Communications & Networking Conference (CCNC) (s. 319-325). IEEE. https://doi.org/10.1109/CCNC49033.2022.9700676

Li, N., Iosifidis, A. & Zhang, Q. (2022). Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. I ICC 2022 - IEEE International Conference on Communications (s. 3667-3672). IEEE. https://doi.org/10.1109/ICC45855.2022.9839083

Li, N., Iosifidis, A. & Zhang, Q. (2022). Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. I 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (s. 982-987). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001067

Li, N., Iosifidis, A. & Zhang, Q. (2022). Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. I ICC 2022 - IEEE International Conference on Communications (s. 4281-4286). IEEE. https://doi.org/10.1109/ICC45855.2022.9838547

Mørup, C., Kloborg, A. & Lucani Rötter, D. E. (Accepteret/In press). Extreme Bitmapping: Efficiently Sorting Data for Cloud Compression. I IEEE 11th International Conference on Cloud Networking (CloudNet) IEEE.

Mukherjee, M., Kumar, V., Kumar, S., Mavromoustakis, C. X., Zhang, Q. & Guo, M. (2022). RIS-assisted Task Offloading for Wireless Dead Zone to Minimize Delay in Edge Computing. I 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (s. 2554-2559). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001478

Sehat, H., Lucani Rötter, D. E. & Pagnin, E. (Accepteret/In press). Bifrost: Secure, Scalable and Efficient File Sharing System Using Dual Deduplication. I IEEE 11th International Conference on Cloud Networking (CloudNet) IEEE.

Vestergaard, R., Techel, J., Zhang, Q. & Lucani Rötter, D. E. (Accepteret/In press). Lightweight Compression for Severely Constrained IoT Devices. I European Wireless Conference 2022 IEEE.

Vestergaard, R., Pagnin, E., Kundu, R. & Lucani, D. E. (2022). Secure Cloud Storage with Joint Deduplication and Erasure Protection. I C. A. Ardagna, N. Atukorala, R. Buyya, C. K. Chang, R. N. Chang, E. Damiani, G. B. Dasgupta, F. Gagliardi, C. Hagleitner, D. Milojicic, T. M. H. Trong, R. Ward, F. Xhafa & J. Zhang (red.), 2022 IEEE 15th International Conference on Cloud Computing (CLOUD) (s. 554-563). IEEE. https://doi.org/10.1109/CLOUD55607.2022.00078