Research

Preprints

• Wang, H. (2023) & Clark J. Simplifying Scholarly Abstracts for Accessible Digital Libraries. arXiv preprint arXiv:2408.03899. https://arxiv.org/pdf/2408.03899.

• 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.

• Xie X., Li J., Wang, H.* (2023). The Many Voices of Duying: Revisiting the Disputed Essays Between Lu Xun and Zhou Zuoren. arXiv preprint arXiv:2310.01440. https://arxiv.org/pdf/2310.01440.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.

Publication

• Wang, H. (2024). A Content-Based Novelty Measure for Scholarly Publications: A Proof of Concept. In: Sserwanga, I., et al. Wisdom, Well-Being, Win-Win. iConference 2024. Lecture Notes in Computer Science, vol 14598. Springer, Cham. https://doi.org/10.1007/978-3-031-57867-0_31

• Tian, Z., Dong, X., Gao, F., Wang, H., & Lin, C. (2022). Mandarin Tone Sandhi Realization: Evidence from Large Speech Corpora. In Proc. Interspeech 2022, 5273-5277. https://www.isca-speech.org/archive/pdfs/interspeech_2022/tian22e_interspeech.pdf.

• Wang, H. & Riddell A. (2022, Jun.). CCTAA: A Reproducible Corpus for Chinese Authorship Attribution Research. In Proceedings of the Language Resources and Evaluation Conference 2022 (pp. 5889-5893). http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.633.pdf.

• Wang, H., Xie X., & Riddell A. (2021, Nov.). The Challenge of Vernacular and Classical Chinese Cross-Register Authorship Attribution. In Proceedings of the Conference on Computational Humanities Research 2021 (pp. 299-309). http://ceur-ws.org/Vol-2989/long_paper41.pdf.

• Riddell, A., Wang, H., & Juola, P. (2021, Sep.). A Call for Clarity in Contemporary Authorship Attribution Evaluation. In Proceedings of the International Conferences Recent Advances in Natural Language Processing (RANLP 2021): Deep Learning for Natural Language Processing Methods and Applications (pp. 1178-1183). https://10.26615/978-954-452-072-4_133.

• Wang, H., Riddell, A., & Juola, P. (2021, Apr.). Mode Effects’ Challenge to Authorship Attribution. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2021): Main Volume (pp. 1146-1155). https://aclanthology.org/2021.eacl-main.97.pdf.