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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Zhang, W. & Hansen, K. M. (2009). An Evaluation of the NSGA-II and MOCell Genetic Algorithms for Self-management Planning in a Pervasive Service Middleware. In Proceedings of the 14th IEEE International Conference on Enginerring of Complex Computer Systems (ICECCS 2009) (pp. 192-201). IEEE Press. https://doi.org/10.1109/ICECCS.2009.17

Zhang, Y., Chong, M. K., Müller, J., Bulling, A. & Gellersen, H. (2015). Eye tracking for public displays in the wild. Personal and Ubiquitous Computing, 19(5-6), 967-981. https://doi.org/10.1007/s00779-015-0866-8

Zhang, Y., Li, Y., Tan, T. & Xue, J. (2018). Ripple: Reflection analysis for Android apps in incomplete information environments. Software - Practice and Experience, 48(8), 1419-1437. https://doi.org/10.1002/spe.2577

Zhang, K., Zhou, J., Tao, D., Karras, P., Li, Q. & Xiong, H. (2020). Geodemographic Influence Maximization. In KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 2764-2774). Association for Computing Machinery. https://doi.org/10.1145/3394486.3403327

Zhang, P., Cao, C., Zaporojets, K. & Groth, P. (2024). CYCLE: Cross-Year Contrastive Learning in Entity-Linking. In CIKM 2024 - Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (pp. 3197-3206). Association for Computing Machinery. https://doi.org/10.1145/3627673.3679702

Zhang, W. (2001). Reusability of Information System with UML. Northwestern Polytechnical University.

Zhang, Z., Sun, B. & An, P. (2025). Breaking Barriers or Building Dependency? Exploring Team-LLM Collaboration in AI-infused Classroom Debate. In CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems Article 137 Association for Computing Machinery. https://doi.org/10.1145/3706598.3713853

Zhang, C., Zhang, Z., Zhang, W., Zeng, T., Sun, B. & An, P. (2025). Anger Speaks Louder? Exploring the Effects of AI Nonverbal Emotional Cues on Human Decision Certainty in Moral Dilemmas. In M. Beigl, G. Jacucci, S. Sigg, Y. Xiao, J. E. Bardram, E. E. Tsiropoulou & C. Xu (Eds.), UbiComp Companion 2025 - Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 40-44). Association for Computing Machinery. https://doi.org/10.1145/3714394.3754387

Zerny, I. (2009). On Graph Rewriting, Reduction and Evaluation. In Z. Horváth, V. Zsók, P. Achten & P. Koopman (Eds.), Tenth Symposium on Trends in Functional Programming, TFP. Proceedings (2009 ed., pp. 164-178). Selye János University.

Zerny, I. (2010). On Graph Rewriting, Reduction and Evaluation. In Z. Horváth, V. Zsók, P. Achten & P. Koopman (Eds.), Trends in Functional Programming 10: Selected Papers from the Tenth Symposium on Trends in Functional Programming, TFP 2009, Komárno, Slovakia, 2-4 June 2009 (pp. 1-16). Intellect Books. http://www.zerny.dk/zerny-tfp09.pdf

Zerny, I. (2013). On Graph Rewriting, Reduction, and Evaluation in the Presence of Cycles. Higher-Order and Symbolic Computation, 26(1), 63–84. https://doi.org/10.1007/s10990-014-9103-9

Zerny, I. & Danvy, O. (2013). A synthetic operational account of call-by-need evaluation. In R. Peña & T. Schrijvers (Eds.), Proceedings of the 15th Symposium on Principles and Practice of Declarative Programming, PPDP '13 (pp. 97-108). Association for Computing Machinery. https://doi.org/10.1145/2505879.2505898

Zerny, I. (2014). The interpretation and inter-derivation of small-step and big-step specifications. Department of Computer Science, University of Aarhus.

Zengfeng, H., Ke, Y. & Zhang, Q. (2012). Randomized algorithms for tracking distributed count, frequencies, and ranks. In K. Markus , B. Michael & L. Maurizio (Eds.), PODS '12 Proceedings of the 31st symposium on Principles of Database Systems (pp. 295-306 ). Association for Computing Machinery. https://doi.org/10.1145/2213556.2213596

Zellweger, P. T., Bouvin, N. O., Jehøj, H. & Mackinlay, J. D. (2001). Fluid Annotations in a Open World. In K. Grønbæk, H. Davis & Y. Douglas (Eds.), Proceedings of the twelfth ACM conference on Hypertext and Hypermedia (pp. 9-18). Association for Computing Machinery. https://doi.org/10.1145/504216.504224

Zardbani, F., Afshani, P. & Karras, P. (2020). Revisiting the theory and practice of database cracking. In A. Bonifati, Y. Zhou, M. A. Vaz Salles, A. Bohm, D. Olteanu, G. Fletcher, A. Khan & B. Yang (Eds.), Advances in Database Technology - EDBT 2020: 23rd International Conference on Extending Database Technology, Proceedings (pp. 415-418). openproceedings.org. https://doi.org/10.5441/002/edbt.2020.46

Zardbani, F., Mamoulis, N., Idreos, S. & Karras, P. (2023). Adaptive Indexing of Objects with Spatial Extent. Proceedings of the VLDB Endowment, 16(9), 2248-2260. https://doi.org/10.14778/3598581.3598596

Zardbani, F. (2025). Incremental Management of Multi-dimensional Data’. [PhD thesis, Aarhus University].

Zander, P.-O., Bødker, S. & Borchorst, N. G. (2009). Executive Summary - Barselsorlov.

Zander, P.-O. & Bohøj, M. (2009). Experiencing Democracy: a Research Proposal. D A I M I P B, (591), 63-66.

Zander, P.-O. (2009). Verksamhetsteori. In S. Hrastinski (Ed.), Nätbaserad utbildning: en introduktion Studentlitteratur.

Zander, P.-O. (2008). Collaborative Process Change by Inscription: A Contested Terrain for Interaction Designers. KFS i Lund AB.

Zakarias, R. W. & Damgård, I. B. (2015). Fast Oblivious AES A Dedicated application of the MiniMac protocol. https://eprint.iacr.org/2015/989.pdf

Zakarias, S. N. H. (2014). Secure Computation in the Preprocessing Model. Department of Computer Science, Aarhus University.

Zakarias, R. W. (2016). Practical Secure Computation with Pre-Processing. Department of Computer Science, Aarhus University.

Zagermann, J., Pfeil, U., Rädle, R., Jetter, H.-C., Klokmose, C. N. & Reiterer, H. (2016). When Tablets meet Tabletops: The Effect of Tabletop Size on Around-the-Table Collaboration with Personal Tablets. In CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (pp. 5470-5481). Association for Computing Machinery. https://doi.org/10.1145/2858036.2858224

Yu, H., Larsen, K. G. & Christiansen, O. (2025). Optimization methods for tensor decomposition: A comparison of new algorithms for fitting the CP(CANDECOMP/PARAFAC) model. Chemometrics and Intelligent Laboratory Systems, 257, Article 105290. https://doi.org/10.1016/j.chemolab.2024.105290

Yon, J., Won, S. B., Cheng, S. W., Cheong, O. & Wilkinson, B. T. (2016). Approximating convex shapes with respect to symmetric difference under homotheties. In S. Fekete & A. Lubiw (Eds.), 32nd International Symposium on Computational Geometry, SoCG 2016 (Vol. 51, pp. 63.1-63.15). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.SoCG.2016.63

Yiu, M. L., Assent, I. & Jensen, C. S. (2012). Outsourced Similarity Search on Metric Data Assets. I E E E Transactions on Knowledge & Data Engineering, 24(2), 338-352. https://doi.org/10.1109/TKDE.2010.222

Yiu, M. L., Jensen, C. S., Møller, J. & Lu, H. (2011). Design and analysis of a ranking approach to private location-based services. A C M Transactions on Database Systems, 36(2), Article 10, p.1 - 42. https://doi.org/10.1145/1966385.1966388

Yi, K. & Zhang, Q. (2013). Optimal Tracking of Distributed Heavy Hitters and Quantiles. Algorithmica, 65(1), 206-223 . https://doi.org/10.1007/s00453-011-9584-4

Yi, K., Wang, L. & Wei, Z. (2014). Indexing for summary queries: Theory and practice. A C M Transactions on Database Systems, 39(1), Article 2. https://doi.org/10.1145/2508702

Yang, B., Fantini, E. N. & Jensen, C. S. (2013). iPark: Identifying Parking Spaces from Trajectories. In G. Guerrini & N. W. Paton (Eds.), Proceedings of The 16th International Conference on Extending Database Technology: EDBT 2013 (pp. 705-708 ). Association for Computing Machinery. https://doi.org/10.1145/2452376.2452459

Yang, B., Kaul, M. & Jensen, C. S. (2014). Using Incomplete Information for Complete Weight Annotation of Road Networks. I E E E Transactions on Knowledge & Data Engineering, 26(5), 1267-1279. https://doi.org/10.1109/TKDE.2013.89

Yang, B., Guo, C., Jensen, C. S., Kaul, M. & Shang, S. (2014). Stochastic skyline route planning under time-varying uncertainty. In 2014 IEEE 30th International Conference on Data Engineering (ICDE), (pp. 136-147). IEEE. https://doi.org/10.1109/ICDE.2014.6816646

Yang, B., Guo, C., Ma, Y. & Jensen, C. S. (2015). Toward personalized, context-aware routing. V L D B Journal, 24(2), 297-318. https://doi.org/10.1007/s00778-015-0378-1

Yang, B., Guo, C. & Jensen, C. S. (2013). Travel cost inference from sparse, spatio-temporally correlated time series using markov models. Proceedings of the VLDB Endowment, 6(9), 769-780. http://dl.acm.org/citation.cfm?id=2536360.2536375&coll=DL&dl=ACM&CFID=383343957&CFTOKEN=67321284

Yang, Y., Li, Y., Karras, P. & Tung, A. K. H. (2021). Context-aware Outstanding Fact Mining from Knowledge Graphs. In KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 2006-2016). Association for Computing Machinery. https://doi.org/10.1145/3447548.3467272

Yang, J. (2015). Efficient Algorithms for HandlingMassive Terrains. Department of Computer Science, University of Aarhus.

Yamasaki, S., Sasaki, Y., Karras, P. & Onizuka, M. (2023). Holistic Prediction on a Time-Evolving Attributed Graph. Proceedings of the Annual Meeting of the Association for Computational Linguistics, 61(1), 13676-13694. https://doi.org/10.18653/v1/2023.acl-long.765

Yakoubov, S., Pagnin, E. & Kolby, S. (2024). Multi Designated Verifier Ring Signatures. IACR Communications in Cryptology, 1(3). https://doi.org/10.62056/a33zivrzn

Yakoubov, S., Damgård, I. B., Siniscalchi, L., Ravi, D. & Ciampi, M. (2025). Information-Theoretic Broadcast-Optimal MPC. In Theory of Cryptography Conference (TCC 2025) https://doi.org/10.1007/978-3-032-12287-2_6

Xue, H., Kelmann, P., Inati, S., Sørensen, T. S. & Hansen, M. (2014). 3D High Resolution l1-SPIRiT Reconstruction on Gadgetron based Cloud: no. 1882. Abstract from Joint Annual Meeting ISMRM-ESMRMB, Milan, Italy. http://www.ismrm.org/14/

Xue, H., Kelmann, P., Inati, S., Sørensen, T. S. & Hansen, M. (2014). Distributed Computing on Gadgetron: A new paradigm for MRI reconstruction: no. 1579. Poster session presented at Joint Annual Meeting ISMRM-ESMRMB, Milan, Italy. http://www.ismrm.org/14/program_files/TP05.htm

Xue, H., Inati, S., Sangild, T., Kellman, P. & Hansen, M. (2015). Distributed MRI Reconstruction using Gadgetron based Cloud Computing. Magnetic Resonance in Medicine, 73(3), 1015–1025. https://doi.org/10.1002/mrm.25213

Xu, Y., Johnson, P. M., Moore, C. A., Brewer, R. S. & Takayama, J. (2013). SGSEAM: Assessing serious game frameworks from a stakeholder experience perspective. In Gamification 2013: Proceedings of the First International Conference on Gameful Design, Research, and Applications Enterprice Gamification Consultancy. http://csdl.ics.hawaii.edu/techreports/2013/13-03/13-03.pdf

Xu, Y., Johnson, P. M., Lee, G. E., Moore, C. A. & Brewer, R. S. (2014). Makahiki: An open source serious game framework for sustainability education and conservation. In P. Kommers, T. Issa, T. Issa, D.-F. Chang & P. Isaías (Eds.), International Conference on Sustainability, Technology, and Education, STE 2014: proceedings (pp. 131-138). International Association for Development, IADIS. http://www.iadisportal.org/digital-library/makahiki-an-open-source-serious-game-framework-for-sustainability-education-and-conservation

Xu, Z., Anderson, K., Lawson, R., Brooks, D. J. & Pavese, N. (2018). Progression of sleep disorders spectrum in Parkinson's Disease: A 5 year clinical longitudinal study. Movement Disorders, 33(5), S761-S762. https://doi.org/10.1002/mds.27399

Xia, Y., de Araujo, P. H. L., Zaporojets, K. & Roth, B. (2025). Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles. In W. Che, J. Nabende, E. Shutova & M. T. Pilehvar (Eds.), Long Papers (pp. 3740-3761). Association for Computational Linguistics (ACL).

Wüstenberg, M., Blunck, H., Grønbæk, K. & Kjærgaard, M. B. (2014). Distinguishing Electric Vehicles from Fossil-Fueled Vehicles with Mobile Sensing. In M. Gabor & R. Zhang (Eds.), 15th IEEE International Conference on Mobile Data Management (MDM): Proceedings (pp. 211 - 220 (vol.1)). IEEE. https://doi.org/10.1109/MDM.2014.32

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Marianne Dammand Iversen

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