Publications by Communication, Control & Automation

Are you looking for publications by Section of Communication, Control & Automation? On this page you can find all the publications made by the Section of Communication, Control & Automation - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and titles. The list can be sorted by date, author, and title:

List of Publications

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Wong, W., Corneo, L., Zavodovski, A., Zhou, P., Mohan, N. & Kangasharju, J. (2020). Bricklayer: Resource Composition on the Spot Market. I 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings Artikel 9149218 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC40277.2020.9149218

Zavodovski, A., Corneo, L., Johnsson, A., Mohan, N., Bayhan, S., Zhou, P., Wong, W. & Kangasharju, J. (2021). Decentralizing Computation with Edge Computing: Potential and Challenges. I IWCI 2021 - Proceedings of the 2021 ACM CoNEXT Interdisciplinary Workshop on (de)Centralization in the Internet, Part of ACM CoNEXT 2021 (s. 34-36). Association for Computing Machinery. https://doi.org/10.1145/3488663.3493689

Hao, Y., Duan, J., Zhang, H., Zhu, B., Zhou, P. & He, X. (2022). Unsupervised Video Hashing with Multi-granularity Contextualization and Multi-structure Preservation. I MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia (s. 3754-3763). Association for Computing Machinery. https://doi.org/10.1145/3503161.3547836

Hui, P., Kangasharju, J., Braud, T., Lee, L. H. & Zhou, P. (2023). Message from MetaSys '23 Chairs. I MetaSys '23: Proceedings of the First Workshop on Metaverse Systems and Applications (s. I). Association for Computing Machinery.

Fu, S., Liao, Y. & Zhou, P. (2023). Training ChatGPT-like Models with In-network Computation. I Proceedings of the 7th Asia-Pacific Workshop on Networking, APNET 2023 (s. 206-207). Association for Computing Machinery. https://doi.org/10.1145/3600061.3603136

Xiong, B., Li, N., Liao, Y. & Zhou, P. (2024). Gamified Alzheimer's Disease Diagnosis via Virtual Reality. I Proceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024 (s. 1182-1183) https://doi.org/10.1109/VRW62533.2024.00385

Ding, Y. & Zhou, P. (2023). Demo: Near Real-time ChatGPT-AR. I MobiSys 2023 - Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services (s. 608-609). Association for Computing Machinery. https://doi.org/10.1145/3581791.3597296

Braud, T., Zhou, P., Kangasharju, J. & Hui, P. (2020). Multipath Computation Offloading for Mobile Augmented Reality. I 18th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2020 Artikel 9127360 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PerCom45495.2020.9127360

Zhou, P., Kortoci, P., Yau, Y. P., Finley, B., Wang, X., Braud, T., Lee, L. H., Tarkoma, S., Kangasharju, J. & Hui, P. (2022). AICP: Augmented Informative Cooperative Perception. IEEE Transactions on Intelligent Transportation Systems, 23(11), 22505-22518. https://doi.org/10.1109/TITS.2022.3155175

Zhang, W., Lin, S., Bijarbooneh, F. H., Cheng, H. F., Braud, T., Zhou, P., Lee, L. H. & Hui, P. (2022). EdgeXAR: A 6-DoF Camera Multi-Target Interaction Framework for MAR with User-friendly Latency Compensation. Proceedings of the ACM on Human-Computer Interaction, 6(EICS), Artikel 152. https://doi.org/10.1145/3532202

Zhou, P., Xu, H., Lee, L. H., Fang, P. & Hui, P. (2022). Are You Left Out? Are you left out? an efficient and fair federated learning for personalized profiles onwearable devices of inferior networking conditions. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6(2), Artikel 91. https://doi.org/10.1145/3534585

Kortoçi, P., Liang, Y., Zhou, P., Lee, L. H., Mehrabi, A., Hui, P., Tarkoma, S. & Crowcroft, J. (2022). Federated split GANs. I FedEdge 2022 - Proceedings of the 2022 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network (s. 25-30). Association for Computing Machinery. https://doi.org/10.1145/3556557.3557953

Yang, Y., Yang, R., Peng, H., Li, Y., Li, T., Liao, Y. & Zhou, P. (2023). FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection. I WWW '23: Proceedings of the ACM Web Conference 2023 (s. 1314-1323). Association for Computing Machinery. https://doi.org/10.1145/3543507.3583500

Liang, Y., Kortoçi, P., Zhou, P., Lee, L. H., Mehrabi, A., Hui, P., Tarkoma, S. & Crowcroft, J. (2022). Federated split GANs for collaborative training with heterogeneous devices[Formula presented]. Software Impacts, 14, Artikel 100436. https://doi.org/10.1016/j.simpa.2022.100436

Shatilov, K., Alhilal, A., Braud, T., Lee, L. H., Zhou, P. & Hui, P. (2023). Players are not Ready 101: A Tutorial on Organising Mixed-mode Events in the Metaverse. I MetaSys 2023 - Proceedings of the 1st Workshop on Metaverse Systems and Applications, Part of MobiSys 2023 (s. 14-20). Association for Computing Machinery. https://doi.org/10.1145/3597063.3597360

Li, J., Wang, H., Liu, Z., Zhou, P., Chen, X., Li, Q. & Hong, R. (2023). Toward Optimal Real-Time Volumetric Video Streaming: A Rolling Optimization and Deep Reinforcement Learning Based Approach. IEEE Transactions on Circuits and Systems for Video Technology, 33(12), 7870-7883. https://doi.org/10.1109/TCSVT.2023.3277893

Lee, L. H., Chatzopoulos, D., Zhou, P. & Braud, T. (2023). Metaverse: An introduction. I Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches Wiley-Interscience. https://doi.org/10.1002/9781394160013.ch1

Xu, H., Zhou, P., Xie, H. & Liao, Y. (2023). Mercury: Fast and Optimal Device Placement for Large Deep Learning Models. I ICPP '23: Proceedings of the 52nd International Conference on Parallel Processing (s. 412-422). Association for Computing Machinery. https://doi.org/10.1145/3605573.3605603

Han, B., Braud, T., Di Francesco, M., Gorlatova, M., Liu, L., Soros, G. & Zhou, P. (2023). Guest Editorial: Networking Challenges and Opportunities for Multi-UserXR and the Metaverse. IEEE Network, 37(4), 10-11. https://doi.org/10.1109/MNET.2023.10293246

Zhou, P., Lee, L. H., Liu, Z., Qiu, H., Braud, T., Ding, A. Y., Tarkoma, S. & Hui, P. (2023). Metaverse for Connected and Automated Vehicles and Intelligent Transportation Systems [From the Guest Editors]. IEEE Vehicular Technology Magazine, 18(4), 19-21. https://doi.org/10.1109/MVT.2023.3333444

Zavodovski, A., Bayhan, S., Mohan, N., Zhou, P., Wong, W. & Kangasharju, J. (2019). DeCloud: Truthful decentralized double auction for edge clouds. I Proceedings - 2019 39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019 (s. 2157-2167). Artikel 8885067 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS.2019.00212

Zhou, P., Braud, T., Zavodovski, A., Liu, Z., Chen, X., Hui, P. & Kangasharju, J. (2020). Edge-Facilitated Augmented Vision in Vehicle-to-Everything Networks. IEEE Transactions on Vehicular Technology, 69(10), 12187-12201. Artikel 9163287. https://doi.org/10.1109/TVT.2020.3015127

Zhou, P., Chen, X., Liu, Z., Braud, T., Hui, P. & Kangasharju, J. (2021). DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV. IEEE Transactions on Intelligent Transportation Systems, 22(4), 2262-2273. Artikel 9275391. https://doi.org/10.1109/TITS.2020.3035841

Shi, Y., Tian, Y., Tong, C., Zhu, C., Li, Q., Zhang, M., Zhao, W., Liao, Y. & Zhou, P. (2024). Detect Depression from Social Networks with Sentiment Knowledge Sharing. I F. Wu, X. He, X. Huang, J. Tang, S. Zhao, D. Li & J. Zhang (red.), Social Media Processing - 11th Chinese National Conference, SMP 2023, Proceedings (s. 133-146). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-7596-9_10

Duan, J., Hao, Y., Zhu, B., Cheng, L., Zhou, P. & Wang, X. (2024). Efficient Unsupervised Video Hashing with Contextual Modeling and Structural Controlling. IEEE Transactions on Multimedia, 26, 7438-7450. https://doi.org/10.1109/TMM.2024.3368924

Ai, H., Cao, Z., Lu, H., Chen, C., Ma, J., Zhou, P., Kim, T. K., Hui, P. & Wang, L. (2024). Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360° Image Outpainting. IEEE Transactions on Visualization and Computer Graphics, 30(5), 2734-2744. https://doi.org/10.1109/TVCG.2024.3372085

Xu, J., Papangelis, K., Tigwell, G. W., LaLone, N., Zhou, P., Saker, M., Chamberlain, A., Dunham, J., Luna, S. M. & Schwartz, D. (2024). Spatial Computing: Defining the Vision for the Future. I CHI' 2024: Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems Artikel 583 Association for Computing Machinery. https://doi.org/10.1145/3613905.3643978

Rasool, S., Saleem, A., Ikram Ul Haq, M. & Jacobsen, R. H. (2024). Towards Zero Trust Security for Prosumer-Driven Verifiable Green Energy Certificates. I 2024 7th International Conference on Energy Conservation and Efficiency (ICECE) (s. 1-6). IEEE. https://doi.org/10.1109/ICECE61222.2024.10505279

Banhazi, T., Banhazi, A., Tikasz, I. E., Palotay, S., Mallimger, K., Neubauer, T., Corpaci, L., Marchaim, U., Kopler, I., Opalinski, S., Olejnik, K., Kokin, E., Gunnarsson, S., Bjerre, T. & Soerensen, C. (2024). Facilitating PLF Technology Adoption in the Pig and Poultry Industries. Studies in Agricultural Economics, 126(1), 43-49. https://doi.org/10.7896/j.2725

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

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

Asiminari, G., Moysiadis, V., Kateris, D., Busato, P., Wu, C., Achillas, C., Sørensen, C. G., Pearson, S. & Bochtis, D. (2024). Integrated Route-Planning System for Agricultural Robots. AgriEngineering, 6(1), 657-677. https://doi.org/10.3390/agriengineering6010039

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

Vahdanjoo, M., Gislum, R. & Grøn Sørensen, C. (2024). Three-dimensional area coverage planning model for robotic application. Computers and Electronics in Agriculture, 219, 1-15. Artikel 108789. https://doi.org/10.1016/j.compag.2024.108789

Vahdanjoo, M., Gislum, R. & Grøn Sørensen, C. (2024). Estimating Fuel Consumption of an Agricultural Robot by Applying Machine Learning Techniques during Seeding Operation. AgriEngineering, 6(1), 754-772. https://doi.org/10.3390/agriengineering6010043

Dong, L., Yang, W., Wen, L., Zhao, X., Claus, A. G. S., Wu, C. & Zhou, K. (2024). Continuous curvature wayline generation using quadratic optimisation for agricultural machine guidance. Biosystems Engineering, 238, 22-37. https://doi.org/10.1016/j.biosystemseng.2023.12.009

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

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

Bochtis, D. D., Sørensen, C. G., Fountas, S., Moysiadis, V. & Pardalos, P. M. (2022). Preface. Springer Optimization and its Applications, 184, v-xiii.

Nørremark, M., Hansen, M. J., Kai, P., Børsting, C. F. & Konnerup, D., (2024). Notat vedrørende besvarelse af henvendelser under Miljø- og Klimateknologi 2023, Nr. 2023-0613092, 9 s., feb. 21, 2024. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug

Wang, X., Mukherjee, M., Kumar, V., Mavromoustakis, C. X., Shoufan, A., Guo, M. & Zhang, Q. (2023). Rendering Delay Minimization in RIS-assisted Edge Computing for IIoT with VR Streaming. I 2023 IEEE Globecom Workshops, GC Wkshps 2023 (s. 1319-1324). IEEE. https://doi.org/10.1109/GCWkshps58843.2023.10465022

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

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

Lechuga, M. M. L., Nørremark, M., Jorguseski, L., D'Acunto, L., Politis, C. & Palattella, M. R. (2023). Multi-Connectivity for Livestock Transport in Rural Areas. Afhandling præsenteret på 2023 Joint EuCNC & 6G Summit, Gothenburg, Sverige.

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

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

Taurone, F., Dorsch, J., Lucani Rötter, D. E. & Zhang, Q. (2024). triaGeD: using compression for anomaly detection. I A. Bilgin, J. E. Fowler, J. Serra-Sagrista, Y. Ye & J. A. Storer (red.), Proceedings - DCC 2024: 2024 Data Compression Conference (s. 588-588). IEEE. https://doi.org/10.1109/DCC58796.2024.00105

Rafiei Foroushani, M., Tran, D. T. & Iosifidis, A. (2023). Recognition of Defective Mineral Wool Using Pruned ResNet Models. I H. Dorksen, S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek & V. Vyatkin (red.), 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) IEEE. https://doi.org/10.1109/INDIN51400.2023.10217993

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Revideret 13.11.2025

AU Engineering