dr. S. Wang (Shenghui)

Engineering & Materials Science

# Labels
# Ontology
# Semantics

Mathematics

# Cultural Heritage
# Libraries
# Ontology
# Ontology Alignment
# Semantics

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Human Media Interaction (HMI)

Wei, N., Zhao, S., Liu, J. , & Wang, S. (2022). A novel textual data augmentation method for identifying comparative text from user-generated content. Electronic commerce research and applications, 53, [101143]. https://doi.org/10.1016/j.elerap.2022.101143

Liu, D., Zhu, T., Schlötterer, J. , Seifert, C. , & Wang, S. (2021). Rewriting Fictional Texts Using Pivot Paraphrase Generation and Character Modification. In K. Ekštein, F. Pártl, & M. Konopík (Eds.), Text, Speech, and Dialogue: 24th International Conference, TSD 2021, Olomouc, Czech Republic, September 6-9, 2021 Proceedings (pp. 73-85). (Lecture Notes in Computer Science; Vol. 12848). Springer. https://doi.org/10.1007/978-3-030-83527-9_6

Bhowmick, A., Singhal, A. , & Wang, S. (2021). Augmenting context-aware citation recommendations with citation and co-authorship history. In W. Glänzel, S. Heeffer, P-S. Chi, & R. Rousseau (Eds.), 18th International Conference on Scientometrics & Informetrics, ISSI 2021: Proceedings (pp. 115-120). International Society for Scientometrics and Informetrics.

Li, R., Tian, P. , & Wang, S. (2021). Study concept drift in 150-year english literature. CEUR workshop proceedings, 2871, 153-163.

Deichmann, D., Moser, C., Birkholz, J. M., Nerghes, A., Groenewegen, P. , & Wang, S. (2020). Ideas with impact: How connectivity shapes idea diffusion. Research policy, 49(1), [103881]. https://doi.org/10.1016/j.respol.2019.103881

Koopman, R. , Wang, S. , & Englebienne, G. (2019). Fast and discriminative semantic embedding. In S. Dobnik, S. Chatzikyriakidis, & V. Demberg (Eds.), IWCS 2019 - Proceedings of the 13th International Conference on Computational Semantics - Long Papers (pp. 235-246). Association for Computational Linguistics (ACL).

Koopman, R. , & Wang, S. (2019). A two-step approach toward subject prediction. In G. Catalano, C. Daraio, M. Gregori, H. F. Moed, & G. Ruocco (Eds.), 17th International Conference on Scientometrics and Informetrics, ISSI 2019 - Proceedings: 2-5 September 2019 Sapienza University of Rome, Italy (Vol. I, pp. 1038-1043). International Society for Scientometrics and Informetrics.

Wang, S., & Koopman, R. (2019). Embed First, Then Predict. Knowledge Organization, 46(5), 364-370. https://doi.org/10.5771/0943-7444-2019-5-364

Wang, S., Koopman, R. , & Englebienne, G. (2019). Non-Parametric Subject Prediction. In A. Doucet, A. Isaac, K. Golub, T. Aalberg, & A. Jatowt (Eds.), Digital Libraries for Open Knowledge: 23rd International Conference on Theory and Practice of Digital Libraries, TPDL 2019, Oslo, Norway, September 9-12, 2019, Proceedings (pp. 312-326). (Lecture Notes in Computer Science; Vol. 11799). Springer. https://doi.org/10.1007/978-3-030-30760-8_27

Castermans, T., Verbeek, K., Speckmann, B., Westenberg, M. A. , Koopman, R. , Wang, S., van den Berg, H., & Betti, A. (2018). SolarView: Low Distortion Radial Embeddings with a Focus. IEEE transactions on visualization and computer graphics, 25(10), 2969-2982. https://doi.org/10.1109/TVCG.2018.2865361

Naar mijn profiel

Bachelor

Technical Computer Science

Master

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.