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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Hubenschmid, S., Zagermann, J., Leicht, D., Reiterer, H. & Feuchtner, T. (2023). ARound the Smartphone: Investigating the Effects of Virtually-Extended Display Size on Spatial Memory. In CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-15). Article 527 Association for Computing Machinery. https://doi.org/10.1145/3544548.3581438

Hubacek, P., Nielsen, J. B. & Rosen, A. (2013). Limits on the Power of Cryptographic Cheap Talk. In R. Canetti & J. A. Garay (Eds.), Advances in Cryptology – CRYPTO 2013: 33rd Annual Cryptology Conference, Santa Barbara, CA, USA, August 18-22, 2013. Proceedings, Part I (pp. 277-297 ). Springer VS. https://doi.org/10.1007/978-3-642-40041-4_16

Hubacek, P. & Park, S. (2014). Cryptographically Blinded Games: Leveraging Players' Limitations for Equilibria and Profit. In M. Babaioff (Ed.), 15th ACM Conference on Economics and Computation, EC '14 (pp. 207-208). Association for Computing Machinery. https://doi.org/10.1145/2600057.2602903

Hubacek, P. & Wichs, D. (2015). On the Communication Complexity of Secure Function Evaluation with Long Output. In T. Roughgarden (Ed.), Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, ITCS '15 (pp. 163-172 ). Association for Computing Machinery. https://doi.org/10.1145/2688073.2688105

Hubacek, P. (2014). Rationality in the Cryptographic Model. Department of Computer Science, Aarhus University.

Huang, Z., Yi, K. & Zhang, Q. (2011). Randomized Algorithms for Tracking Distributed Count, Frequencies, and Ranks. http://arxiv.org/abs/1108.3413

Huang, Z. & Yi, K. (2014). The communication complexity of distributed epsilon-approximations. In D. Shmoys (Ed.), 2014 IEEE 55th Annual Symposium on Foundations of Computer Science (FOCS) Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS (pp. 591-600). IEEE Computer Society Press. https://doi.org/10.1109/FOCS.2014.69

Huang, Z., Radunović, B., Vojnović, M. & Zhang, Q. (2014). Communication Complexity of Approximate Matching in Distributed Graphs. Paper presented at Symposium on Theoretical Aspects of Computer Science, München, Germany. http://www.cse.ust.hk/~huangzf/stacs15-matching.pdf

Huang, Z., Radunović, B., Vojnović, M. & Zhang, Q. (2015). Communication complexity of approximate matching in distributed graphs. In 32nd International Symposium on Theoretical Aspects of Computer Science: STACS’15, March 4–7, 2015, Garching, Germany (pp. 460-473). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.STACS.2015.460

Huang, D., Morrisett, G. & Spitters, B. (2018, Jun 20). An Application of Computable Distributions to the Semantics of Probabilistic Programs. Cornell University.

Huang, D., Morrisett, G. & Spitters, B. (2020). Application of Computable Distributions to the Semantics of Probabilistic Programs. In G. Barthe, J.-P. Katoen & A. Silva (Eds.), Foundations of Probabilistic Programming (pp. 75-120). Cambridge University Press. https://doi.org/10.1017/9781108770750

Huang, W., Wakefield, M., Rasmussen, T. A., Kim, S. & Billinghurst, M. (2022). A review on communication cues for augmented reality based remote guidance. Journal on Multimodal User Interfaces, 16(2), 239-256. https://doi.org/10.1007/s12193-022-00387-1

Huang, D., Morrisett, G. & Spitters, B. (2020). Application ofComputable Distributions to the Semantics of Probabilistic Programs. In Foundations of Probabilistic Programming (pp. 75-120). Cambridge University Press. https://doi.org/10.1017/9781108770750.004

Huang, C., Mathiasen, A., Dean, J., Mottin, D. & Assent, I. (2024). HUNIPU: Efficient Hungarian Algorithm on IPUs. In Proceedings - 2024 IEEE 40th International Conference on Data Engineering Workshops, ICDEW 2024 (pp. 388-394). IEEE. https://doi.org/10.1109/ICDEW61823.2024.00062

Huang, W., Billinghurst, M., Alem, L., Xiao, C. & Rasmussen, T. (2024). Computer-Supported Collaboration: Theory and Practice. Wiley-IEEE press.

Huang, C., Mathiasen, A., Dean, J., Langguth, J., Mottin, D. & Assent, I. (2025). Linear Assignment on Tile-Centric Accelerators: Redesigning Hungarian Algorithm on IPUs. In SIAM Symposium on Algorithm Engineering and Experiments, ALENEX 2025 (pp. 107-119). Society for Industrial and Applied Mathematics Publications.

Huang, P., Li, Y., Gong, H. & Koara, H. (2025). Robust and Interpretable Machine Learning for Network Quality Prediction with Noisy and Incomplete Data. Photonics, 12(10), Article 965. https://doi.org/10.3390/photonics12100965

Hu, J., Yang, B., Jensen, C. S. & Ma, Y. (2017). Enabling time-dependent uncertain eco-weights for road networks. Geoinformatica, 21(1), 57-88. https://doi.org/10.1007/s10707-016-0272-z

Hu, E., Grønbæk, J. E., Houck, A. & Heo, S. (2023). OpenMic: Utilizing Proxemic Metaphors for Conversational Floor Transitions in Multiparty Video Meetings. In A. Schmidt, K. Väänänen, T. Goyal, P. O. Kristensson, A. Peters, S. Mueller, J. R. Williamson & M. L. Wilson (Eds.), CHI'23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Article 793 Association for Computing Machinery. https://doi.org/10.1145/3544548.3581013

Hu, E., Grønbæk, J. E., Ying, W., Du, R. & Heo, S. (2023). ThingShare: Ad-Hoc Digital Copies of Physical Objects for Sharing Things in Video Meetings. In A. Schmidt, K. Väänänen, T. Goyal, P. O. Kristensson, A. Peters, S. Mueller, J. R. Williamson & M. L. Wilson (Eds.), CHI'23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Article 365 Association for Computing Machinery. https://doi.org/10.1145/3544548.3581148

Hu, H. (Ed.), Jensen, C. S. & Dingming , D. (Ed.) (2013). Message from the LBS n.0 Workshop Organizers. In IEEE 14th International Conference on Mobile Data Management (MDM), 2013 (Volume:2 ) (pp. xiii). IEEE. http://mdm2013.dico.unimi.it/

Hsieh, Y. T., Jylhä, A., Orso, V., Andolina, S., Hoggan, E., Gamberini, L. & Jacucci, G. (2019). Developing hand-worn input and haptic support for real-world target finding. Personal and Ubiquitous Computing, 23(1), 117-132. https://doi.org/10.1007/s00779-018-1180-z

Houston, B., Nielsen, M. B., Batty, C., Nilsson, O. & Museth, K. (2006). Hierarchical RLE Level Set: A Compact and Versatile Deformable Surface Representation. A C M Transactions on Graphics, 25(1), 151-175.

Houston, B., Nielsen, M. B., Nilsson, O., Museth, K. & Batty, C. (2005). Gigantic Deformable Surfaces. In Ikke angivet Society for Industrial and Applied Mathematics.

Houben, S., Marquardt, N., Vermeulen, J., Schöning, J., Klokmose, C. N., Reiterer, H., Korsgaard, H. & Schreiner, M. (2016). Cross-Surface: Challenges and Opportunities for 'bring your own device' in the wild. In CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 3366-3372). Association for Computing Machinery. https://doi.org/10.1145/2851581.2856490

Houben, S., Marquardt, N., Vermeulen, J. K., Klokmose, C. N., Schöning, J., Reiterer, H. & Holz, C. (2017). Opportunities and challenges for cross-device interactions in the wild. interactions, 24(5), 58-63. https://doi.org/10.1145/3121348

Hóu, Z., Clouston, R., Goré, R. & Tiu, A. (2018). Modular Labelled Sequent Calculi for Abstract Separation Logics. ACM Transactions on Computational Logic, 19(2), 1-35. Article 13. https://doi.org/10.1145/3197383

Hou, B. J., Newn, J., Sidenmark, L., Khan, A. A., Bækgaard, P. & Gellersen, H. (2023). Classifying Head Movements to Separate Head-Gaze and Head Gestures as Distinct Modes of Input. In CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems Article 253 Association for Computing Machinery. https://doi.org/10.1145/3544548.3581201

Hou, B. J., Newn, J., Sidenmark, L., Khan, A. A. & Gellersen, H. (2024). GazeSwitch: Automatic Eye-Head Mode Switching for Optimised Hands-Free Pointing. Proceedings of the ACM on Human-Computer Interaction, 8(ETRA), Article 227. https://doi.org/10.1145/3655601

Hou, B. J., Abdrabou, Y., Weidner, F. & Gellersen, H. (2024). Unveiling Variations: A Comparative Study of VR Headsets Regarding Eye Tracking Volume, Gaze Accuracy, and Precision. In 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 650-655). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VRW62533.2024.00127

Hou, B. J., Abramyan, L., Gurumurthy, P., Adams, H., Tosic Rodgers, I., Gonzalez, E. J., Patel, K., Colaço, A., Pfeuffer, K., Gellersen, H., Ahuja, K. & Gonzalez-Franco, M. (2025). Online-EYE: Multimodal Implicit Eye Tracking Calibration for XR. In N. Yamashita, V. Evers & K. Yatani (Eds.), CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-16). Article 550 Association for Computing Machinery. https://doi.org/10.1145/3706598.3713461

Horst, M., Iversen, O. S. & Petersen, M. G. (2023). Forskere: Mens vi diskuterer skærme i skolen, sætter resten af Europa digital teknologi på skemaet. Altinget.

Hornbæk, K., Oulasvirta, A., Reeves, S. & Bødker, S. (2015). What to Study in HCI? In B. Begole & J. Kim (Eds.), Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (pp. 2385-2388). Association for Computing Machinery. https://doi.org/10.1145/2702613.2702648

Horelli, L., Saad-Sulonen, J., Wallin, S. & Botero, A. (2015). When Self-Organization intersects with Urban Planning: Two Cases from Helsinki. Planning Practice and Research, 30(3), 286. https://doi.org/10.1080/02697459.2015.1052941

Horak, T., Mathisen, A., Klokmose, C. N., Dachselt, R. & Elmqvist, N. (2019). Vistribute: Distributing Interactive Visualizations in Dynamic Multi-Device Setups. In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Article 616 Association for Computing Machinery. https://doi.org/10.1145/3290605.3300846

Hoque, M. N., Mashiat, T., Ghai, B., Shelton, C., Chevalier, F., Kraus, K. & Elmqvist, N. (2024). The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing with Interactive Visualization. In CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems Article 1045 Association for Computing Machinery. https://doi.org/10.1145/3613904.3641895

Hoque, M. N. & Elmqvist, N. (2024). Dataopsy: Scalable and Fluid Visual Exploration using Aggregate Query Sculpting. IEEE Transactions on Visualization and Computer Graphics, 30(1), 186-196. https://doi.org/10.1109/TVCG.2023.3326594

Höök, K., Hummels, C., Isbister, K., Marti, P., Márquez Segura, E., Jonsson, M., Mueller, F. F., Sanches, P. A. N., Schiphorst, T., Ståhl, A., Svanaes, D., Trotto, A., Petersen, M. G. & Lim, Y. (2017). Soma-Based Design Theory. In CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire (pp. 550-557). Association for Computing Machinery. https://doi.org/10.1145/3027063.3027082

Höök, K., Caramiaux, B., Erkut, C., Forlizzi, J., Hajinejad, N., Haller, M., Hummels, C., Isbister, K., Jonsson, M., Khut, G., Loke, L., Lottridge, D., Marti, P., Melcer, E., Müller, F., Petersen, M. G., Schiphorst, T., Segura, E. M., Ståhl, A. ... Tobiasson, H. (2018). Embracing First-Person Perspectives in Soma-Based Design. Informatics, 5/1(8), 1-26. Article 2018,5,8. https://doi.org/10.3390/informatics5010008

Höök, K. H., Jonsson, M., Ståhl, A., Tholander, J., Robertson, T., Marti, P., Svanæs, D., Petersen, M. G., Forlizzi, J., Schiphorst, T., Isbister, K., Hummels, C., Klooster, S., Loke, L. & Khut, G. P. (2016). Move to Be Moved. In CHI EA 2016: #chi4good - Extended Abstracts, 34th Annual CHI Conference on Human Factors in Computing Systems (pp. 3301-3308). Association for Computing Machinery. https://doi.org/10.1145/2851581.2856470

Holt, M. K., Johansen, J. & Brodal, G. S. (2014). On the Scalability of Computing Triplet and Quartet Distances. In C. C. McGeoch & U. Meyer (Eds.), 2014 Proceedings of the Sixteenth Workshop on Algorithm Engineering and Experiments (ALENEX) (pp. 9-19). Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611973198.2

Hohma Ellen.Hohma@Tum.De, E., Frey, C. M. M., Beer, A. & Seidl, T. (2022). SCAR - Spectral Clustering Accelerated and Robustified. Proceedings of the VLDB Endowment, 15(11), 3031-3044. https://doi.org/10.14778/3551793.3551850

Høgsgaard, M. M., Larsen, K. G. & Ritzert, M. (2023). AdaBoost is not an Optimal Weak to Strong Learner. In A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato & J. Scarlett (Eds.), Proceedings of ICML 2023 (pp. 13118-13140). MLResearch Press.

Høgsgaard, M. M., Larsen, K. G. & Mathiasen, M. E. (2024). The Many Faces of Optimal Weak-to-Strong Learning. https://arxiv.org/pdf/2408.17148

Høgsgaard, M. M. & Larsen, K. G. (2025). Improved Margin Generalization Bounds for Voting Classifiers. In Proceedings of Thirty Eighth Conference on Learning Theory (Vol. 291, pp. 2822-2855). PMLR. https://proceedings.mlr.press/v291/hogsgaard-moller25a.html

Høgsgaard, M. M., Kamma, L., Larsen, K. G., Nelson, J. & Schwiegelshohn, C. (2024). Sparse Dimensionality Reduction Revisited. In International Conference on Machine Learning (pp. 18454-18469). PMLR.

Høgsgaard, M. M. (2025). Efficient Optimal PAC Learning. In Proceedings of The 36th International Conference on Algorithmic Learning Theory (pp. 578-580). PMLR.

Hogräfer, M. & Schulz, H.-J. (2019). ReVize: A Library for Visualization Toolchaining with Vega-Lite. In Italian Chapter Conference 2019 - Smart Tools and Apps in computer Graphics, STAG 2019 (pp. 129-139). Eurographics Association. https://doi.org/10.2312/stag.20191375

Hogräfer, M., Heitzler, M. & Schulz, H.-J. (2020). The State of the Art in Map‐Like Visualization. Computer Graphics Forum, 39(3), 647-674. https://doi.org/10.1111/cgf.14031

Hogräfer, M., Angelini, M., Santucci, G. & Schulz, H.-J. (2022). Steering-by-Example for Progressive Visual Analytics. ACM Transactions on Intelligent Systems and Technology, 13(6), 1–26. Article 96. https://doi.org/10.1145/3531229

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Marianne Dammand Iversen

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