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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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Chen, X., Bao, J., Zhou, P. & Liao, Y. (2023). Hierarchical Privacy-Preserved Knowledge Graph. I Proceedings - 2023 IEEE 43rd International Conference on Distributed Computing Systems, ICDCS 2023 (s. 977-978). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDCS57875.2023.00097
Zhou, P. Y., Fu, S., Finley, B., Li, X., Tarkoma, S., Kangasharju, J., Ammar, M. & Hui, P. (2024). 5G MEC Computation Handoff for Mobile Augmented Reality. I Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024 (s. 129-136). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MetaCom62920.2024.00032
Li, H., Shi, H., Zhang, W., Wu, W., Liao, Y., Wang, L., Lee, L. H. & Zhou, P. Y. (2025). DreamScene: 3D Gaussian-Based Text-to-3D Scene Generation via Formation Pattern Sampling. I A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler & G. Varol (red.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (s. 214-230). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-72904-1_13
Marinoudi, V., Benos, L., Villa, C. C., Kateris, D., Berruto, R., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Large language models impact on agricultural workforce dynamics: Opportunity or risk? Smart Agricultural Technology, 9, Artikel 100677. https://doi.org/10.1016/j.atech.2024.100677
Ding, Y., Zhang, S., Fan, B., Sun, W., Liao, Y. & Zhou, P. Y. (2024). FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations. I RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems (s. 690-700). Association for Computing Machinery. https://doi.org/10.1145/3640457.3688112
Kristensen, M. H., Bonizzi, A., Gomes, C., Hansen, S. T., Isasa Martin, C. I., Iven, H., Kamburjan, E., Larsen, P. G., Leucker, M., Talasila, P., Evans, V. T., Tonetta, S., Vosteen, L. B. & Wright, T. D. (2024). Runtime Verification of Autonomous Systems Utilizing Digital Twins as a Service. I 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) (s. 121-127). IEEE. https://doi.org/10.1109/ACSOS-C63493.2024.00042
Zheng, X., Zhou, P., Vasilakos, A. V. & Wang, L. (2024). Semantics, Distortion, and Style Matter: Towards Source-Free UDA for Panoramic Segmentation. I 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 (s. 27885-27895). IEEE Computer Society. https://doi.org/10.1109/CVPR52733.2024.02634
Li, H., Ma, L., Shi, H., Hao, Y., Liao, Y., Cheng, L. & Zhou, P. Y. (2025). 3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing. I A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler & G. Varol (red.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (s. 390-406). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-73033-7_22
Zheng, X., Zhou, P. Y., Vasilakos, A. V. & Wang, L. (2024). 360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(2), 1190-1204. https://doi.org/10.1109/TPAMI.2024.3490619
Mohan, N., Zhou, P., Govindaraj, K. & Kangasharju, J. (2017). Grouping computational data in resource caches of Edge-Fog cloud. I CrossCloud 2017 - 4th Workshop on CrossCloud Infrastructures and Platforms, Colocated with EuroSys 2017 Artikel 3069391 Association for Computing Machinery. https://doi.org/10.1145/3069383.3069391
Sun, M., Zhou, P., Tian, H., Liao, Y. & Xie, H. (2022). Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning. I E. Pimenidis, M. Aydin, P. Angelov, C. Jayne & A. Papaleonidas (red.), Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings (s. 656-669). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-15931-2_54
Nørremark, M., (2024). Muligheder for miljøeffektberegning af teknologier for pesticidreduktion i relation til økologisk jordbrug, Nr. 2024-0751020, 4 s., nov. 29, 2024. Rådgivningsnotat fra DCA - Nationalt Center for Fødevarer og Jordbrug
Jiang, X., Ma, Z., Fu, Y., Liao, Y. & Zhou, P. (2024). Heterogeneity-Aware Federated Deep Multi-View Clustering towards Diverse Feature Representations. I MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia (s. 9184-9193). Association for Computing Machinery. https://doi.org/10.1145/3664647.3681302
Lee, L. H., Braud, T., Zhou, P. Y., Wang, L., Xu, D., Lin, Z., Kumar, A., Bermejo, C. & Hui, P. (2024). All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda. Foundations and Trends in Human-Computer Interaction, 18(2-3), 100-337. https://doi.org/10.1561/1100000095
Hadi Mogavi, R., Son, J., Yang, S., Wang, D. M., Choong, L., Alhilal, A., Zhou, P. Y., Hui, P. & Nacke, L. E. (2024). The Jade Gateway to Exergaming: How Socio-Cultural Factors Shape Exergaming Among East Asian Older Adults. Proceedings of the ACM on Human-Computer Interaction, 8, Artikel 341. https://doi.org/10.1145/3677106
Foldager, L., Thodberg, K., Chen, G., Kristensen, J. K., Jensen, L. D., Kaiser, M., Kobek-Kjeldager, C., Rong, L. & Herskin, M. S. (2024). Effects of deck height during transport of weaners: in-vehicle conditions and clinical indicators. I Book of Abstracts of the 75th Annual Meeting of the European Federation of Animal Science (s. 487-487). Artikel Session 38, Poster 12 Wageningen Academic Publishers.
Dideriksen, A. K., Andersen, M. F., Priest, J., Eriksen, N. F., Frandsen, M. T., Melvad, C., Rasmussen, T. F., Nielsen, N. H. K., Strømsnes, C. T., Ahlebæk, M. J., Samsing, S., Larsen, T. B., Don, J., Pedersen, L. A. N., Jacobsen, R. H., Rysgaard, S., Kim, J. M., Bayer, R., Christensen, C. ... Karoff, C. (2024). DISCO-2 – an ambitious earth observing student CubeSat for arctic climate research. Frontiers in Remote Sensing, 5, Artikel 1474560. https://doi.org/10.3389/frsen.2024.1474560
He, B., Yang, Y., Wu, Q., Liu, H., Yang, R., Peng, H., Wang, X., Liao, Y. & Zhou, P. (2024). Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. I K. Larson (red.), Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (s. 5844-5852). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/646
Huang, Q., Li, H., Liao, Y., Hao, Y. & Zhou, P. (2024). Noise-NeRF: Hide Information in Neural Radiance Field Using Trainable Noise. I M. Wand, K. Malinovská, J. Schmidhuber & I. V. Tetko (red.), Artificial Neural Networks and Machine Learning – ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Proceedings (s. 320-334). Springer. https://doi.org/10.1007/978-3-031-72335-3_22
Cai, X. & Cheng, H. V. (2024). Array Pattern Synthesis with Discrete Phases for Reconfigurable Intelligent Surfaces. I 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (s. 741 - 745). IEEE. https://doi.org/10.1109/SPAWC60668.2024.10694155
Lin, Y., Liao, Y., Wu, Z. & Zhou, P. (2024). Mitigating Backdoors in Federated Learning with FLD. I 2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology, AINIT 2024 (s. 530-535). IEEE. https://doi.org/10.1109/AINIT61980.2024.10581839
Liu, H., Yang, Y., Wu, Q., He, B., Liao, Y. & Zhou, P. (2024). FacGNN: Multi-faceted Fairness Enhancement for GNN through Adversarial and Contrastive Learning. I 2024 International Joint Conference on Neural Networks (IJCNN) IEEE. https://doi.org/10.1109/IJCNN60899.2024.10649939
Tang, W., Cao, Y., Ying, J., Wang, B., Zhao, Y., Liao, Y. & Zhou, P. (2024). A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential. I L.-W. Ku, A. Martins & V. Srikumar (red.), The 62nd Annual Meeting of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics, ACL 2024 (s. 3670-3685). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2024.findings-acl.219
Frasheri, M., Katsaros, P., Iosifidis, A., Hansen, S. T., Gomes, C., Evans, V. T. & Larsen, P. G. (2024). System Monitoring through a Digital Twin. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.), The Engineering of Digital Twins (s. 189-207). Springer. https://doi.org/10.1007/978-3-031-66719-0_9
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
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
Marinoudi, V., Benos, L., Camacho Villa, C., Lampridi, M., Kateris, D., Berruto, R., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Adapting to the Agricultural Labor Market Shaped by Robotization. Sustainability, 16(16), Artikel 7061. https://doi.org/10.3390/su16167061
Nørremark, M. (2024). Muligheder for mere sikker håndtering af kvæg ved teknologisk innovation. DCA - Nationalt Center for Fødevarer og Jordbrug.
Shen, K., Zhao, Z., Chen, Y., Zhang, Z. & Cheng, H. V. (2024). Accelerating Quadratic Transform and WMMSE. IEEE Journal on Selected Areas in Communications, 42(11), 1. https://doi.org/10.1109/JSAC.2024.3431523
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
Rask, C. D. & Lucani Rötter, D. E. (2024). RAGE for the Machine: Image Compression with Low-Cost Random Access for Embedded Applications. I 2024 IEEE International Conference on Image Processing, ICIP 2024: Proceedings (s. 1987-1993). IEEE. https://doi.org/10.1109/ICIP51287.2024.10647293
Tagarakis, A. C., Benos, L., Kyriakarakos, G., Pearson, S., Sørensen, C. G. & Bochtis, D. (2024). Digital Twins in Agriculture and Forestry: A Review. Sensors, 24(10), Artikel 3117. https://doi.org/10.3390/s24103117
Lee, L.-H., Hosio, S., Braud, T. & Zhou, P. (2024). A Roadmap Toward Metaversity: Recent Developments and Perspectives in Education. I D. Liu, R. Huang, A. H. S. Metwally, A. Tlili & E. Fan Lin (red.), Application of the Metaverse in Education (s. 73-95). Springer Nature. https://doi.org/10.1007/978-981-97-1298-4_5
Zhou, P. & Kangasharju, J. (2016). Profiling and grouping users to edge resources according to user interest similarity. I CAN 2016 - Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking, co-located with CoNEXT 2016 (s. 43-48). Association for Computing Machinery. https://doi.org/10.1145/3010079.3010081
Mohan, N., Zhou, P., Govindaraj, K. & Kangasharju, J. (2017). Managing data in computational edge clouds. I MECOMM 2017 - Proceedings of the 2017 Workshop on Mobile Edge Communications, Part of SIGCOMM 2017 (s. 19-24). Association for Computing Machinery. https://doi.org/10.1145/3098208.3098212
Mohan, N., Zavodovski, A., Zhou, P. & Kangasharju, J. (2018). Anveshak: Placing edge servers in the wild. I MECOMM 2018 - Proceedings of the 2018 Workshop on Mobile Edge Communications, Part of SIGCOMM 2018 (s. 7-12). Association for Computing Machinery. https://doi.org/10.1145/3229556.3229560
Zhou, P., Zhang, W., Braud, T., Hui, P. & Kangasharju, J. (2018). ARVE: Augmented reality applications in vehicle to edge networks. I MECOMM 2018 - Proceedings of the 2018 Workshop on Mobile Edge Communications, Part of SIGCOMM 2018 (s. 25-30). Association for Computing Machinery. https://doi.org/10.1145/3229556.3229564
Zhou, P., Zhang, W., Braud, T., Hui, P. & Kangasharju, J. (2019). Enhanced augmented reality applications in vehicle-to-edge networks. I A. Galis, R. Noldus, F. Idzikowski, F. Guillemin, S. Secci & M. F. Sayit (red.), Proceedings of the 2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops, ICIN 2019 (s. 167-174). Artikel 8685872 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIN.2019.8685872
Zhou, P., Braud, T., Alhilal, A., Hui, P. & Kangasharju, J. (2019). ERL: Edge Based Reinforcement Learning for Optimized Urban Traffic Light Control. I 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 (s. 849-854). Artikel 8730706 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2019.8730706
Wong, W., Zavodovski, A., Zhou, P. & Kangasharju, J. (2019). Container deployment strategy for edge networking. I MECC 2019 - Proceedings of the 2019 4th Workshop on Middleware for Edge Clouds and Cloudlets, Part of Middleware 2019 (s. 1-6). Association for Computing Machinery. https://doi.org/10.1145/3366614.3368101