Publications

Search for publications at Department of Computer Science

Below you find a complete list of publications published and edited by scientists at the Department of Computer Science

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Nan Cheng, Gupta, N., Mitrokotsa, A. & Tozawa, K. (2024). Constant-Round Private Decision Tree Evaluation for Secret Shared Data. Proceedings on Privacy Enhancing Technologies, 2024(1), 397-412. https://doi.org/10.56553/popets-2024-0023

Zottarel, A. (2013). Public key cryptography from weaker assumptions. Institut for Datalogi, Aarhus Universitet.

Zollmann, S., Gong, U. & Langlotz, T. (2025). Augmented Reality for Supporting Accessible Sports Spectating and Training. 1. Paper presented at The Third Workshop on Building an Inclusive and Accessible Metaverse for All, Yokohama, Japan.

Zlatev, Z. & Østerby, O. (1980). Absolute stability properties of the explicit linear 3-step formulae. Department of Computer Science, Aarhus University. DAIMI PB No. 124

Zizzo, A. R., Hvidman, L., Salvig, J. D., Holst, L., Kyng, M. & Petersen, O. B. (2022). Home management by remote self-monitoring in intermediate- and high-risk pregnancies: A retrospective study of 400 consecutive women. Acta Obstetricia et Gynecologica Scandinavica, 101(1), 135-144. https://doi.org/10.1111/aogs.14294

Zimmer, P. (2004). Using Ambients to Control Resources. International Journal of Information Security, 2(3-4), 126-144.

Zimmer, P. (2005). A Calculus for Context-Awareness. BRICS Report Series, (RS-05-27).

Zimek, A., Assent, I. & Vreeken , J. (2014). Frequent Pattern Mining Algorithms for Data Clustering. In C. C. Aggarwal & J. Han (Eds.), Frequent Pattern Mining (pp. 403-423). Springer. https://doi.org/10.1007/978-3-319-07821-2_16

Zhu, F., Zhang, Z. & Qu, Q. (2013). A direct mining approach to efficient constrained graph pattern discovery. Association for Computing Machinery. Special Interest Group on Management of Data. International Conference Proceedings, 821-832. https://doi.org/10.1145/2463676.2463723

Zhu, Y., Honnet, C., Kang, Y., Zhu, J., Zheng, A. J., Heinz, K., Tang, G., Musk, L., Wessely, M. & Mueller, S. (2023). Demonstration of ChromoCloth: Re-Programmable Multi-Color Textures through Flexible and Portable Light Source. In UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology Article 73 Association for Computing Machinery. https://doi.org/10.1145/3586182.3615811

Zhu, Y., Honnet, C., Kang, Y., Zhu, J., Zheng, A. J., Heinz, K., Tang, G., Musk, L., Wessely, M. & Mueller, S. (2024). PortaChrome: A Portable Contact Light Source for Integrated Re-Programmable Multi-Color Textures. In UIST 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology: Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (pp. 1-13). Article 18 Association for Computing Machinery. https://doi.org/10.1145/3654777.3676458

Zhu, Y., Honnet, C., Kang, Y., Zhu, J., Zheng, A. J., Heinz, K., Tang, G., Musk, L., Wessely, M. & Mueller, S. (2024). Demo of PortaChrome: A Portable Contact Light Source for Integrated Re-Programmable Multi-Color Textures. In UIST Adjunct 2024 - Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology Article 18 Association for Computing Machinery. https://doi.org/10.1145/3672539.3686774

Zhou, Q., Chacon, A., Pan, J. & Johal, W. (2025). Assisting MoCap-Based Teleoperation of Robot Arm Using Augmented Reality Visualisations. In HRI 2025 - Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction (pp. 1765-1769). IEEE Computer Society. https://doi.org/10.1109/HRI61500.2025.10974111

Zhong, Z. & Mottin, D. (2023). Knowledge-augmented Graph Machine Learning for Drug Discovery: From Precision to Interpretability. In KDD 2023 - Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 5841-5842). Association for Computing Machinery. https://doi.org/10.1145/3580305.3599563

Zhong, Z., Jiang, Y. & Mottin, D. (2022). On the Robustness of Post-hoc GNN Explainers to Label Noise. Paper presented at Learning on Graphs Conference 2022.

Zhong, Z., Zhou, K. & Mottin, D. (2024). Harnessing Large Language Models as Post-hoc Correctors. In L.-W. Ku, A. Martins & V. Srikumar (Eds.), Findings of the Association for Computational Linguistics: ACL 2024 (pp. 14559-14574). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2024.findings-acl.867

Zhong, Z. & Mottin, D. (2024). Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding. In A. Bifet, J. Davis, T. Krilavičius, M. Kull, E. Ntoutsi & I. Žliobaitė (Eds.), Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part VII (pp. 399-415). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-70368-3_24

Zhong, Z. & Mottin, D. (2024). Exploring Graph Structure Comprehension Ability of Multimodal Large Language Models: Case Studies.

Zhong, Z., Larsen, S. S.-Y., Guo, H., Tang, T., Zhou, K. & Mottin, D. (2025). Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language.

Zhong, Z., Barkova, A. & Mottin, D. (2025). Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey. ACM Computing Surveys, 57(12), Article 302. https://doi.org/10.1145/3744237

Zhong, Z., Larsen, S. S.-Y., Guo, H., Tang, T., Zhou, K. & Mottin, D. (2025). Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language. In L. Chiruzzo, A. Ritter & L. Wang (Eds.), Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29 - May 4, 2025 (pp. 6177-6194). Association for Computational Linguistics. https://doi.org/10.18653/V1/2025.FINDINGS-NAACL.345

Zhivotovskiy, N., Larsen, K. G. & Montasser, O. (2024). Derandomizing Multi-Distribution Learning. Abstract from NeurIPS'24: 38th Conference on Neural Information Processing Systems, Vancouver, Canada.

Zheng, S. & Zhang, W. (2005). The DW Shortest Path Algorithm and Its Application In Logic Diagram Routing. Jisuanji Gongcheng, 31(19), 192-194.

Zhao, Y., Nielsen, J. B., Deng, R. H. & Feng, D. (2005). Generic yet Practical ZK Arguments from any Public-Coin HVZK. Electronic Colloquium on Computational Complexity, (TR05-162), 1-16.

Zhang, W. & Hansen, K. M. (2007). Synergy between Software Product Line and Intelligent Mobile Middleware. In Proceedings of The 2007 International Conference on Intelligent Pervasive Computing (pp. 515-520). IEEE Computer Society Press. https://doi.org/10.1109/IPC.2007.57

Zhang, W., Han, D., Kunz, T. & Hansen, K. M. (2007). Mobile Game Development: Object-Orientation or Not. In 31st Annual International Computer Software and Applications Conference (pp. 601-608). IEEE Computer Society Press. https://doi.org/10.1109/COMPSAC.2007.151

Zhang, W., Kunz, T. & Hansen, K. M. (2007). Product Line Enabled Intelligent Mobile Middleware. In IEEE International Conference on Engineering of Complex Computer Systems (pp. 148-160). IEEE Computer Society Press. https://doi.org/10.1109/ICECCS.2007.38

Zhang, W., Han, D. & Kunz, T. (2007). Object-Orientation is Evil for Mobile Games: Experience from Industrial Mobile RPGs. In Embedded Software and Systems, Third International Conference, ICESS 2007 (pp. 1-12). Springer. https://doi.org/10.1007/978-3-540-72685-2_1

Zhang, W. & Kunz, T. (2007). Enhancing the Intelligence of Mobile Middleware Environment. In 2007 International Workshop on Context Management for Self-Managing Systems (Devices, Applications, and Networks) (CASEMANS 2007) (pp. 46-61)

Zhang, W. (2007). An Overview of Product Line Enabled Intelligent Mobile Middleware. In 31st Annual International Computer Software and Applications Conference IEEE Computer Society Press.

Zhang, W. (2008). Synergy between Software Product Line and Intelligent Pervasive Middleware-a PLIPerM Approach. International Journal of Hybrid Information Technology, 1(1), 17-30. http://www.sersc.org/journals/IJHIT/vol1_no1_2008.php

Zhang, W. & Kunz, T. (2006). Product line based ontology development for semantic web service. In C. Chi-Hung, F. B. Bastani & X. Xiangyang (Eds.), Proceedings of the IEEE International Symposium on Service-Oriented System Engineering (SOSE 2006): Session 7: Service Discovery (pp. 183-188). IEEE Computer Society Press. https://doi.org/10.1109/SOSE.2006.25

Zhang, W. & Kunz, T. (2006). Product line based ontology reuse in context-aware e-business environment. In Proceedings of the IEEE International Conference on e-Business Engineering: ICEBE 2006 (pp. 138-145). IEEE Computer Society Press.

Zhang, W. & Kunz, T. (2006). A Product Line Enhanced Unified Process. In Q. Wang, D. Pfahl, D. M. Raffo & P. Wernick (Eds.), Software Process Change: International Software Process Workshop and International Workshop on Software Process Simulation and Modeling, SPW/ProSim 2006, Shanghai, China, May 20-21, 2006. Proceedings (pp. 142-149). Springer. https://doi.org/10.1007/11754305_16

Zhang, W. (2005). Architecturally Reconfigurable Development of Mobile Games. In 2nd International Conference on Embedded Software and Systems (ICESS-2005) (pp. 66-72). IEEE Computer Society Press. https://doi.org/10.1109/ICESS.2005.32

Zhang, W. & Jarzabek, S. (2005). Reuse without Compromising Performance: Industrial Experience from RPG Software Product Line for Mobile Devices. In Software Product Lines: 9th International Software Product Line Conference (SPLC2005). Proceedings (Vol. LNCS3714, pp. 57-69). Springer. https://doi.org/10.1007/11554844_7

Zhang, W. & Li, J. (2005). Industrial Experience with the Architecture based Reengineering. In Q. Zhu (Ed.), 11^th Joint International Computer Conference (JICC2005) (e-proceedings ed., pp. 732-738). World Scientific. https://doi.org/10.1142/9789812701534_0164

Zhang, W., Jarzabek, S., Loughran, N. & Rashid, A. (2003). Reengineering a PC-based System into the Mobile Device Product Line. In Fourth International Workshop on Principles of Software Evolution (pp. 149-160). IEEE Computer Society Press. https://doi.org/10.1109/IWPSE.2003.1231222

Zhang, W., Jarzabek, S., Zhang, H., Loughran, N. & Rashid, A. (2004). Software evolution with XVCL. In H. Yang (Ed.), Software Evolution with UML and XML (Vol. Chapter VI, pp. 152-189). Idea Group Publishing.

Zhang, W. & Peng, C. (2005). A Program State Monitoring System. Journal of Tongji University, 33(10), 1385-1390.

Zhang, W. (2005). Mobile Role-Playing-Game Engine with J2ME. Computer Engineering and Applications, 41(33), 115-117.

Zhang, W. & Ding, P. (2005). Debugging Environment for a Meta-programming Language. Mini-Micro Systems, 26(4), 707-709.

Zhang, W. & Hansen, K. M. (2008). Semantic Web based Self-management for a Pervasive Service Middleware. In S. Brueckner, P. Robertson & U. Bellur (Eds.), Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems (pp. 245-254). IEEE Computer Society Press. https://doi.org/10.1109/SASO.2008.14

Zhang, W. & Hansen, K. M. (2008). An OWL/SWRL based Diagnosis Approach in a Web Service-based Middleware for Embedded and Networked System. In Proceeedings of the 20th International Conference on Software Engineering and Knowledge Engineering (pp. 893-898). Knowledge Systems Institute.

Zhang, W. & Hansen, K. M. (2008). Towards Self-managed Pervasive Middleware using OWL/SWRL ontologies. In Fifth International Workshop on Modelling and Reasoning in Context. Proceedings Telecom, Bretagne. http://www.hydramiddleware.eu/hydra_papers/Towards_Self-managed_Pervasive_Middleware.pdf

Zhang, W. (2006). Architecture Based Configuration Management. High Technology Letters, 110-116.

Zhang, W. (1999). Information System Development Based on UML. Northwestern Polytechnical University.

Zhang, W. & Hansen, K. M. (2011). Using Context Awareness for Self Management in Pervasive Service Middleware. In F. Mastrogiovanni & N.-Y. Chong (Eds.), Handbook of Research on Ambient Intelligence and Smart Environments Trends and Perspectives (pp. 248-271). Idea Group Publishing. http://www.igi-global.com/book/handbook-research-ambient-intelligence-smart/41775#table-of-contents

Zhang, W., Ingstrup, M., Hansen, K. M. & Schütte, J. (2009). A Genetic Algorithms-based Approach for Optimized Self-protection in a Pervasive Service Middleware. Lecture Notes in Computer Science, 404-419. https://doi.org/10.1007/978-3-642-10383-4_29

Zhang, W., Hansen, K. M. & Kunz, T. (2010). Enhancing Intelligence of a Product Line Enabled Pervasive Middleware. Pervasive and Mobile Computing, 6(2), 198-217. https://doi.org/10.1016/j.pmcj.2009.07.002

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Marianne Dammand Iversen

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