Research

Journal

• Xie, X., Li, J., & Wang, H. (2024). The many voices of Duying: Revisiting the disputed essays between Lu Xun and Zhou Zuoren. Digital Scholarship in the Humanities, fqae084. https://doi.org/10.1093/llc/fqae084

Conference

• Wang, H., & Clark, J. (2024). Simplifying scholarly abstracts for accessible digital libraries using language models. In The 2024 ACM/IEEE Joint Conference on Digital Libraries (JCDL '24). https://arxiv.org/pdf/2408.03899.pdf

• Wang, H. (2024). A content-based novelty measure for scholarly publications: A proof of concept. In International Conference on Information (pp. 409-420). https://link.springer.com/chapter/10.1007/978-3-031-57867-0_31

• Wang, H., & Riddell, A. (2022). CCTAA: A reproducible corpus for Chinese authorship attribution research. In Proceedings of the 13th Conference on Language Resources and Evaluation (pp. 5889-5893). http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.633.pdf

• Tian, Z., Dong, X., Gao, F., Wang, H., & Lin, C. (2022). Mandarin tone sandhi realization: Evidence from large speech corpora. In INTERSPEECH 2022 (pp. 5273-5277). https://www.isca-speech.org/archive/pdfs/interspeech_2022/tian22e_interspeech.pdf

• Wang, H., Xie, X., & Riddell, A. (2021). The challenge of vernacular and classical Chinese cross-register authorship attribution. In Proceedings of the 2021 edition of the Computational Humanities Research Conference (pp. 299-309). http://ceur-ws.org/Vol-2989/long_paper41.pdf

• Riddell, A., Wang, H., & Juola, P. (2021). A call for clarity in contemporary authorship attribution evaluation. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (pp. 1178-1183). https://10.26615/978-954-452-072-4_133

• Wang, H., Riddell, A., & Juola, P. (2021). Mode effects' challenge to authorship attribution. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (pp. 1146-1155). https://aclanthology.org/2021.eacl-main.97.pdf

Preprint

• Wang, H., Clark, J., McKelvey, H., Sterman, L., Gao, Z., Tian, Z., Kübler, S., & Liu, X. (2024). Science Out of Its Ivory Tower: Improving Accessibility with Reinforcement Learning. arXiv preprint arXiv:2410.17088. https://arxiv.org/pdf/2410.17088.pdf

• Ren, R., Yao, X., Cole, S., & Wang, H. (2024). Are Large Language Models Ready for Travel Planning?. arXiv preprint arXiv:2410.17333. https://arxiv.org/abs/2410.17333

• Wang, H. (2023). Defending against authorship identification attacks. arXiv preprint arXiv:2310.01568. https://arxiv.org/pdf/2310.01568.pdf

• Wang, H. (2023). Enhancing representation generalization in authorship identification. arXiv preprint arXiv:2310.00436. https://arxiv.org/pdf/2310.00436.pdf

• Wang, H., Juola, P., & Riddell, A. (2022). Reproduction and replication of an adversarial stylometry experiment. arXiv preprint arXiv:2208.07395. https://arxiv.org/pdf/2208.07395.pdf