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

Sortér efter: Dato | Forfatter | Titel

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

Evans, V. T., Gomes, C. & Lucani Rötter, D. E. (2025). Precision on Demand: Propositional Logic for Event-Trigger Threshold Regulation. IEEE Internet of Things Journal, 12(3), 2674-2689. https://doi.org/10.1109/JIOT.2024.3476922

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

Cai, X. & Cheng, H. V. (2023). Direct Channel Estimation Between MIMO Transmitter and Reconfigurable Intelligent Surface. I IEEE Conference on Global Communications (GLOBECOM) (s. 4217-4222). IEEE. https://doi.org/10.1109/GLOBECOM54140.2023.10437250

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

Zheng, X., Luo, Y., Zhou, P. & Wang, L. (2025). Distilling efficient Vision Transformers from CNNs for semantic segmentation. Pattern Recognition, 158, Artikel 111029. https://doi.org/10.1016/j.patcog.2024.111029

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

Chen, G., Kobek-Kjeldager, C., Jensen, L. D., Kristensen, J. K., Kaiser, M., Thodberg, K., Zhang, G., Rong, L., Herskin, M. S. & Foldager, L. (2024). Experimental study on temperature difference between the interior and exterior of the vehicle transporting weaner pigs. Biosystems Engineering, 247, 119-131. https://doi.org/10.1016/j.biosystemseng.2024.09.001

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. & Grøn Sørensen, C. (2023). Report from the regional workshops: Deliverable 3.3 AgroFossilFree. Final Report on AFF regional workshops outcome.

Nørremark, M. (2024). Muligheder for mere sikker håndtering af kvæg ved teknologisk innovation. DCA - Nationalt Center for Fødevarer og Jordbrug.

Ferro, M. V., Sørensen, C. G. & Catania, P. (2024). Comparison of different computer vision methods for vineyard canopy detection using UAV multispectral images. Computers and Electronics in Agriculture, 225, Artikel 109277. https://doi.org/10.1016/j.compag.2024.109277

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), 3110-3124. 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). IEEE. https://doi.org/10.1109/ICASSP48485.2024.10446065

Hageman, K. & Hylsberg Jacobsen, R. (2024). On the Scheduling of Spatio-Temporal Charging Windows for Autonomous Drone Fleets. IEEE Access, 12, 74291-74304. https://doi.org/10.1109/ACCESS.2024.3405796

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

Nørremark, M., Kristensen, E. F., Jensen, M., Ottosen, C.-O., Petridis, A., Mendanha dos Santos, T., Melander, B. & Jensen, P. K. (2024). Miljøpositivliste for producentorganisationers driftsfonde til støtteberettigede teknologier til frugt- og grøntsagssektoren 2024. DCA - Nationalt Center for Fødevarer og Jordbrug. Rådgivningsrapport fra DCA - Nationalt Center for Fødevarer og Jordbrug

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 IEEE. 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 IEEE. 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

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 IEEE. 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 IEEE. 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

Viser resultater 101 til 150 ud af 1472

Forrige

Næste

Back to the main page

Revideret 07.07.2026

AU Engineering