dr. S. Wang (Shenghui)

Universitair docent


Engineering & Materials Science
Cultural Heritage
Ontology Alignment


Malnatsky, E. , Wang, S., Hindriks, K., & Ligthart, M. (2024). Shaping Relatable Robots: A Child-Centered Approach to Social Personalization. In HRI'24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (pp. 127-129). Association for Computing Machinery. https://doi.org/10.1145/3610978.3638374
Wang, S., Kulyk, D., Rikhtehgar, D. J. , Heylen, D., & Rieffe, C. J. (2023). Correlating Eye Gaze with Object to Enrich Cultural Heritage Knowledge Graph. CEUR workshop proceedings, 3632.
Javdani Rikhtehgar, D. , Wang, S. , Heylen, D. K. J., & Rieffe, C. (2023). diVRsity: exploring diversity in VR. Abstract from ICT Open 2023, Utrecht, Netherlands.
Javdani Rikhtehgar, D. , Wang, S., Schlobach, S. , & Heylen, D. K. J. (2023). Ontology-Based Modeling of User-Environment Interaction in a Virtual Reality Exhibition. In Proceedings 17th International Conference on Metadata and Semantics Research, MTSR 2023 University of Milano-Bicocca.
Wang, S., Li, Q., & Koopman, R. (2023). Co-attention-Based Pairwise Learning for Author Name Disambiguation. In D. H. Goh, S.-J. Chen, & S. Tuarob (Eds.), Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration - 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, Proceedings (pp. 240-249). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14458). Springer. https://doi.org/10.1007/978-981-99-8088-8_21
Javdani Rikhtehgar, D. , Wang, S., Huitema, H., Alvares, J., Schlobach, S., Rieffe, C. , & Heylen, D. (2023). Personalizing Cultural Heritage Access in a Virtual Reality Exhibition: A User Study on Viewing Behavior and Content Preferences. In UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (pp. 379-387). Association for Computing Machinery. https://doi.org/10.1145/3563359.3596666
Chiang, W.-H., Ahmad, U. , Wang, S. , & Bukhsh, F. A. (2023). Investigating Aha Moment Through Process Mining. In J. Filipe, M. Smialek, A. Brodsky, & S. Hammoudi (Eds.), Proceedings of the 25th International Conference on Enterprise Information Systems (Vol. 1, pp. 164-172) https://doi.org/10.5220/0011848800003467
Wei, N., Zhao, S., Liu, J. , & Wang, S. (2023). A review for comparative text mining: From data acquisition to practical application. Journal of information science, 1-13. Advance online publication. https://doi.org/10.1177/01655515231165228
Nasri, M., Fang, Z. , Baratchi, M. , Englebienne, G. , Wang, S., Koutamanis, A., & Rieffe, C. (2023). A GNN-based Architecture for Group Detection from spatio-temporal Trajectory Data. In B. Crémilleux, S. Hess, & S. Nijssen (Eds.), Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings (pp. 327-339). (Lecture Notes in Computer Science; Vol. 13876). https://doi.org/10.1007/978-3-031-30047-9_26
Kazi, R., Amato, A. , Wang, S. , & Bucur, D. (2022). Visualization Methods for Diachronic Semantic Shift. In Proceedings of the Third Workshop on Scholarly Document Processing (pp. 89-94). (Proceedings - International Conference on Computational Linguistics, COLING). Association for Computational Linguistics (ACL). https://aclanthology.org/2022.sdp-1.10

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Citadel (gebouwnr. 09), kamer H237
Hallenweg 15
7522NH  Enschede

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Citadel  H237
Postbus 217
7500 AE Enschede


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