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Institut for Elektro- og Computerteknologi

Publications

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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

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2024). Efficient High-Resolution Deep Learning: A Survey. ACM Computing Surveys, 56(7), Artikel 181. https://doi.org/10.1145/3645107

Hudson, N., Khamfroush, H., Baughman, M., Lucani Rötter, D. E., Chard, K. & Foster, I. (2024). QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing. Future Generation Computer Systems, 157, 250-263. https://doi.org/10.1016/j.future.2024.03.035

Hurst, A., Lucani Rötter, D. E. & Zhang, Q. (2024). GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT. IEEE Transactions on Industrial Informatics, 20(4), 6954-6962. https://doi.org/10.1109/TII.2024.3353913

Hurst, A., Lucani Rötter, D. E. & Zhang, Q. (Accepteret/In press). PairwiseHist: Fast, Accurate, and Space-Efficient Approximate Query Processing with Data Compression. I International Conference on Very Large Databases (VLDB)

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.

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

Kontodimas, K., Soumplis, P., Kretsis, A., Kokkinos, P., Fehér, M., Lucani Rötter, D. E. & Varvarigos, M. (Accepteret/In press). Secure Distributed Storage Orchestration on Heterogeneous Cloud-Edge Infrastructures. IEEE Transactions on Cloud Computing .

Kuldeep, G. & Zhang, Q. (2023). Lightweight electrocardiogram signal compression. Biomedical Signal Processing and Control, 85, Artikel 105012. https://doi.org/10.1016/j.bspc.2023.105012

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

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2022). Single-layer vision transformers for more accurate early exits with less overhead. Neural Networks, 153, 461-473. https://doi.org/10.1016/j.neunet.2022.06.038

Dong, Z., Li, N., Iosifidis, A. & Zhang, Q. (2022). Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing. ArXiv. https://doi.org/10.48550/arXiv.2211.13778

Fehér, M., Lucani Rötter, D. E. & Chatzigeorgiou, I. (Accepteret/In press). An Adaptive Column Compression Family for Self-Driving Databases. Afhandling præsenteret på Thirteenth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures, Sydney, New South Wales, Australien.

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

Hurst, A., Lucani Rötter, D. E., Assent, I. & Zhang, Q. (2022). GLEAN: Generalized Deduplication Enabled Approximate Edge Analytics. IEEE Internet of Things Journal, 10(5), 4006-4020. https://doi.org/10.1109/JIOT.2022.3166455.

Kuldeep, G. & Zhang, Q. (2022). Multi-class privacy-preserving cloud computing based on compressive sensing for IoT. Journal of Information Security and Applications, 66, Artikel 103139. https://doi.org/10.1016/j.jisa.2022.103139

Kumar, V., Mukherjee, M., Lloret, J., Zhang, Q. & Kumari, M. (2022). Delay-optimal and Incentive-aware Computation Offloading for Reconfigurable Intelligent Surface-assisted Mobile Edge Computing. IEEE Networking Letters. Advance online publication. https://doi.org/10.1109/LNET.2022.3187720

Li, N., Iosifidis, A. & Zhang, Q. (2022). Collaborative edge computing for distributed CNN inference acceleration using receptive field-based segmentation. Computer Networks, 214, Artikel 109150. https://doi.org/10.1016/j.comnet.2022.109150

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., Zhang, Q., Mavromoustakis, C. X. & Matam, R. (2022). Optimal Pricing for Offloaded Hard- and Soft-Deadline Tasks in Edge Computing. IEEE Transactions on Intelligent Transportation Systems, 23(7), 9829-9839. https://doi.org/10.1109/TITS.2021.3117973

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.

Sehat, H., Lindskov Kloborg, A., Mørup, C., Pagnin, E. & Lucani Rötter, D. E. (2022). Bonsai: A General Look at Dual Dedupliation.

Sehat, H., Pagnin, E. & Lucani Rötter, D. E. (2022). Yose-ue: Scalable differential privacy for smart meter data.

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

Wang, X., Feng, Y., Gu, X., Long, Y., Mukherjee, M., Fizza, K., Zhang, Q. & Guo, M. (2022). Edge Intelligence for Synchronized Human-Robotic Arm Interactions over Unreliable Wireless Channels. I 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings (s. 6349-6353). IEEE. https://doi.org/10.1109/GLOBECOM48099.2022.10001583

Yazdani, N., Kouvelas, N., Lucani Rötter, D. E. & Prasad, R. V. (Accepteret/In press). Divide and Code: Efficient and Real-time Data Recovery from Corrupted LoRa Frames. I IEEE International Conference on Sensing, Communication, and Networking (SECON) IEEE.

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

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. I 2021 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN52387.2021.9533875

Bakhtiarnia, A., Zhang, Q. & Iosifidis, A. (2021). Multi-Exit Vision Transformer for Dynamic Inference. I The 32nd British Machine Vision Conference https://www.semanticscholar.org/paper/Multi-Exit-Vision-Transformer-for-Dynamic-Inference-Bakhtiarnia-Zhang/26f61039857423c0aad2c44f0e7769cbb61246c9

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Revideret 10.08.2023

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Daniel Enrique Lucani Rötter