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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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Ling, Y., Elling, J. & Nielsen, T. T. (1996). Capacity of Intelligent Underlay and Overlay Network. In IEEE Colloquium on Advanced TDMA Techniques and Applications (Digest No: 1996/234) IEEE Computer Society Press. https://doi.org/10.1049/ic:19961234
Lindstrøm, B. & Haider, S. (2001). Equivalent Coloured Petri Net Models of a Class of Timed Influence Nets with Logic. In K. Jensen (Ed.), Third Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools (pp. 35-55). Department of Computer Science, Aarhus University.
Lindstrøm, B. & Wells, L. M. (2002). Annotating Coloured Petri Nets. In K. Jensen (Ed.), Fourth Workshop and Tutorial on Practical Use of Coloured Petri Nets and the CPN Tools: Aarhus, Denmark, August 28-30, 2002 (pp. 39-58). Department of Computer Science, University of Aarhus.
Lindstrøm, B., Wells, L., Silva, M. (Ed.), Giva, A. (Ed.) & Colom, J. M. (Ed.) (2002). Towards a Monitoring Framework for Discrete-Event System Simulations. In Ikke angivet (pp. 127-134). IEEE Computer Society Press.
Lindlbauer , D., Lilija, K., Walter , R. & Müller, J. (2016). Influence of Display Transparency on Background Awareness and Task Performance. In CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 1705-1716). Association for Computing Machinery. https://doi.org/10.1145/2858036.2858453
Lindlbauer, D., Grønbæk, J. E., Birk, M., Halskov, K., Alexa, M. & Müller, J. (2016). Combining Shape-Changing Interfaces and Spatial Augmented Reality Enables Extended Object Appearance. In C. Lampe, D. Morris & J. P. Hourcade (Eds.), CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 791-802). Association for Computing Machinery. https://doi.org/10.1145/2858036.2858457
Lindlbauer, D., Müller, J. & Alexa, M. (2016). Changing the Appearance of Physical Interfaces Through Controlled Transparency. In UIST 2016 - Proceedings of the 29th Annual Symposium on User Interface Software and Technology (pp. 425-435). Association for Computing Machinery. https://doi.org/10.1145/2984511.2984556
Lindholm Nielsen, M., Lister, R., Adams, E. S., Fitzgerald, S., Fone, W., Hamer, J., McCartney, R., Moström, J. E., Sanders, K., Seppälä, O., Simon, B. & Thomas, L. (2004). A multi-national study of reading and tracing skills in novice programmers. S I G C S E Bulletin Inroads, 36(4), 119-150.
Lindholm, M. (2005). Development of Object-understanding Among Students in the Humanities. Poster session presented at ITiCSE 2005, Monte de Caparica, Portugal.
Lindgaard, T. & Grønbæk, K. (2005). Automatic geo-referencing of web-pages. In Proceedings of the IADIS International Conference on WWW/Internet 2005 (pp. 200-208). International Association for Development, IADIS.
Lindeskov Knudsen, J., Løfgren, M., Magnussen, B. & Madsen, O. L. (Eds.) (1994). Object-Oriented Software Development Environments: The Mjølner Approach. Prentice-Hall.
Lindell, Y., Nissim, K. & Orlandi, C. (2013). Hiding the Input-Size in Secure Two-Party Computation. In K. Sako & P. Sarkar (Eds.), Advances in Cryptology - ASIACRYPT 2013: 19th International Conference on the Theory and Application of Cryptology and Information Security, Bengaluru, India, December 1-5, 2013, Proceedings, Part II (Vol. 8197, pp. 421-440). Springer VS. https://doi.org/10.1007/978-3-642-41019-2_6
Lindahl, C., Wagner, S., Uldbjerg, N., Schlütter, J. M., Bertelsen, O. W. & Sandager, P. (2018). Patient acceptance of blood pressure self-measurement equipment using context-aware patient guidance. In N. Minsky & V. Osmani (Eds.), Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2018 (pp. 318-326). Association for Computing Machinery. https://doi.org/10.1145/3240925.3240963
Limaye, N., Srinivasan, S. & Tavenas, S. (2022). On the Partial Derivative Method Applied to Lopsided Set-Multilinear Polynomials. In S. Lovett (Ed.), 37th Computational Complexity Conference, CCC 2022 Article 32 Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.CCC.2022.32
Limaye, N., Srinivasan, S. & Tavenas, S. (2022). Superpolynomial Lower Bounds Against Low-Depth Algebraic Circuits. In Proceedings - 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science, FOCS 2021 (pp. 804-814). IEEE Computer Society. https://doi.org/10.1109/FOCS52979.2021.00083
Lieberoth, A. & Hansen, F. A. (2011). Can Autobiographical Memories Create Better Learning? The Case of a Scary Game. In D. Gouscos & M. Meimaris (Eds.), Proceedings of ECGBL 2011. The 5th European Conference on Games Based Learning (pp. 350-357)
Liboriussen, P., Pedersen, B. P., Ifrim, G., Nissen, P. & Pedersen, C. S. (2009). Automatic classification of P-Type ATPases using SLR. Poster session presented at 17th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) & 8th European Conference on Computational Biology (ECCB), Stockholm, Sweden.
Li , X., Karras, P. & Jensen, C. S. (2012). Cooperative Scalable Moving Continuous Query Processing. In Proceedings of the 13th International Conference on Mobile Data Management, MDM (pp. 69 - 78 ). IEEE Press. https://doi.org/10.1109/MDM.2012.20
Li, X., Ceikute, V., Jensen, C. S. & Tan, K.-L. (2013). Effective Online Group Discovery in Trajectory Databases. I E E E Transactions on Knowledge & Data Engineering, 25(12), 2752 - 2766 . https://doi.org/10.1109/TKDE.2012.193
Li, X., Ceikute, V., Jensen, C. S. & Tan, K.-L. (2013). Trajectory Based Optimal Segment Computation in Road Network Databases. In C. Knoblock & M. Schneider (Eds.), Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL'13 (pp. 396-399 ). Association for Computing Machinery. https://doi.org/10.1145/2525314.2525444
Li, Y., Li, X., Sandel, B., Blank, D., Liu, Z., Liu, X. & Yan, S. (2016). Climate and topography explain range sizes of terrestrial vertebrates. Nature Climate Change, 6(5), 498-502. https://doi.org/10.1038/nclimate2895
Li, Y., Tan, T., Møller, A. & Smaragdakis, Y. (2018). Precision-Guided Context Sensitivity for Pointer Analysis. Proceedings of the ACM on Programming Languages , 2(OOPSLA), 141:1-141:29. Article 141. https://doi.org/10.1145/3276511
Li, Y., Tan, T., Møller, A. & Smaragdakis, Y. (2018). Scalability-First Pointer Analysis with Self-Tuning Context-Sensitivity. In G. T. Leavens, A. Garcia & C. S. Păsăreanu (Eds.), ESEC/FSE 2018 - Proceedings of the 2018 26th ACM Joint Meeting on European So ftware Engineering Conference and Symposium on the Foundations of So ftware Engineering (pp. 129-140). Association for Computing Machinery. https://doi.org/10.1145/3236024.3236041
Li, Y., Fan, J., Ovchinnikov, G. & Karras, P. (2019). Maximizing multifaceted network influence. In Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019 (pp. 446-457). Article 8731520 IEEE. https://doi.org/10.1109/ICDE.2019.00047
Li, Y., Tan, T. & Xue, J. (2019). Understanding and analyzing Java reflection. ACM Transactions on Software Engineering and Methodology, 28(2), Article 7. https://doi.org/10.1145/3295739
Li, Y., Tan, T., Møller, A. & Smaragdakis, Y. (2020). A Principled Approach to Selective Context Sensitivity for Pointer Analysis. ACM Transactions on Programming Languages and Systems, 42(2), Article 10. https://doi.org/10.1145/3381915
Li, K. H., Aguirre, A., Gregersen, S. O., Haselwarter, P. G., Tassarotti, J. & Birkedal, L. (2025). Modular Reasoning about Error Bounds for Concurrent Probabilistic Programs. Proceedings of the ACM on Programming Languages , 9(ICFP), 276-305. https://doi.org/10.1145/3747514
Li, G., Weidner, F., Hu, J. & Gellersen, H. (2025). Quantifying neck muscle activity during head fixation in VR. Frontiers in Virtual Reality, 6, Article 1682866. https://doi.org/10.3389/frvir.2025.1682866
Li, M., Zhang, P., Xing, W., Zheng, Y., Zaporojets, K., Chen, J., Zhang, R., Zhang, Y., Gong, S., Hu, J., Ma, X., Liu, Z., Groth, P. & Worring, M. (2026). A survey of large language models for data challenges in graphs. Expert Systems with Applications, 298, Part A, Article 129643. https://doi.org/10.1016/j.eswa.2025.129643
Lewkowicz, M., Bødker, S., Boden, A. & Fedosov, A. (2021). Technical Design and Development of Future Platforms.
Lemelson, H., Kjærgaard, M. B., Hansen, R. & King, T. (2009). Error Estimation for Indoor 802.11 Location Fingerprinting. Lecture Notes in Computer Science, 138-155. https://doi.org/10.1007/978-3-642-01721-6_9
Leiva, G., Grønbæk, J. E., Klokmose, C. N., Nguyen, C., Kazi, R. H. & Asente, P. (2021). Rapido: Prototyping Interactive AR Experiences through Programming by Demonstration. In UIST 2021 - Proceedings of the 34th Annual ACM Symposium on User Interface Software and Technology (pp. 626-637). Association for Computing Machinery. https://doi.org/10.1145/3472749.3474774
Lehmann, A. & Gross, A. (2016). Effect of GPS errors on Emission model. Paper presented at Global Wireless Summit 2016, Aarhus, Denmark.
Lehmann, A. & Gross, A. (2016). Using Crowd Sensed Data as Input to Congestion Model. In 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016: The Third International Workshop on Crowd Assisted Sensing Pervasive Systems and Communications Article 7457105 IEEE Press. https://doi.org/10.1109/PERCOMW.2016.7457105
Lehmann, A. & Gross, A. (2017). Towards vehicle emission estimation from smartphone sensors. In Proceedings - 18th IEEE International Conference on Mobile Data Management, MDM 2017 (pp. 154-163). Article 7962447 IEEE Press. https://doi.org/10.1109/MDM.2017.29
Legaard, L., Thomsen, J. R., Lorentzen, C. H. & Techen, J. P. (2016). Exploring SCI as Means of Interaction through the Design Case of Vacuum Cleaning. In M. Broekhuijsen (Ed.), TEI 2016 - Proceedings of the 10th Anniversary Conference on Tangible Embedded and Embodied Interaction (pp. 488-493). Association for Computing Machinery. https://doi.org/10.1145/2839462.2856540