Email: tahoangthang@gmail.com
Other names: Hoang-Thang Ta, Hoang Thang Ta, Thang Hoang Ta, Tạ Hoàng Thắng
Google Scholar: Hoang Thang Ta
ORCID: https://orcid.org/0000-0003-0321-5106
GitHub: https://github.com/hoangthangta
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Hi, I'm Thang, a scientist and lecturer from Vietnam. My interests include neural networks, applied mathematics, natural language generation, data-to-text generation, knowledge bases, sentiment analysis, and image processing.
EDUCATION
2003 – 2008: I graduated from Dalat University with a Bachelor in Information Technology Engineering.
2012 – 2015: I graduated from Shinawatra University with a Master of Science in Information Technology under the guidance of Professor Chutiporn Anutariya.
2019 – 2023: I was awarded a full CONACYT scholarship for the Computer Science Doctoral program at Instituto Politécnico Nacional. Professor Alexander Gelbukh is my advisor.
2021 – July, 2023: I completed my internship at the Singapore University of Technology and Design (SUTD) under the guidance of Professor Soujanya Poria.
PUBLICATION
Ta, H. T., & Tran, A. (2025). AF-KAN: Activation Function-Based Kolmogorov-Arnold Networks for Efficient Representation Learning. arXiv preprint arXiv:2503.06112.
Ta, H. T., Thai, D. Q., Tran, A., Sidorov, G., & Gelbukh, A. (2025). PRKAN: Parameter-Reduced Kolmogorov-Arnold Networks. arXiv preprint arXiv:2501.07032.
Ta, H. T., Thai, D. Q., Rahman, A. B. S., Sidorov, G., & Gelbukh, A. (2024). FC-KAN: Function Combinations in Kolmogorov-Arnold Networks. arXiv preprint arXiv:2409.01763.
Ta, H. T. (2024). BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks. arXiv preprint arXiv:2406.11173.
Accepted in SoICT 2024 (https://soict.org/)
Ta, H. T., & La, Q. T. (2024). Utilize Transformers for translating Wikipedia category names. arXiv preprint arXiv:2408.06124.
ICT 2024 - BLU University
Ta, H. T. (2024). Self-training from Self-memory in Data-to-text Generation. arXiv preprint arXiv:2401.10567.
Rahman, A. B. S., Ta, H. T., Najjar, L., Azadmanesh, A., & Gönul, A. S. (2024). DepressionEmo: A novel dataset for multilabel classification of depression emotions. Journal of Affective Disorders, 366, 445-458.
Q1 journal, Journal of Affective Disorders, Impact Factor 2023: 4.9
Ta, H. T., Rahman, A. B. S., Majumder, N., Hussain, A., Najjar, L., Howard, N., ... & Gelbukh, A. (2023). WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs. Information Fusion, 90, 265-282.
Q1 journal, Information Fusion, Impact Factor 2021: 17.5
Ta, H. T., Gelbukha, A., & Sidorov, G. (2022). Mapping Process for the Task: Wikidata Statements to Text as Wikipedia Sentences. arXiv preprint arXiv:2210.12659.
Ta, T.H., Rahman, A.B.S., Sidorov, G., Gelbukh, A. (2020). Mining Hidden Topics from Newspaper Quotations: The COVID-19 Pandemic. In: Martínez-Villaseñor, L., Herrera-Alcántara, O., Ponce, H., Castro-Espinoza, F.A. (eds) Advances in Computational Intelligence. MICAI 2020. Lecture Notes in Computer Science(), vol 12469. Springer, Cham. https://doi.org/10.1007/978-3-030-60887-3_5
Ta, T. H., & Anutariya, C. (2015). A model for enriching multilingual Wikipedias using infobox and Wikidata property alignment. In Semantic Technology: 4th Joint International Conference, JIST 2014, Chiang Mai, Thailand, November 9-11, 2014. Revised Selected Papers 4 (pp. 335-350). Springer International Publishing.
WORKSHOP
Thang Ta, Abu Rahman, Lotfollah Najjar, and Alexander Gelbukh. 2024. ThangDLU at #SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents. In Proceedings of The 9th Social Media Mining for Health Research and Applications (SMM4H 2024) Workshop and Shared Tasks, pages 1–4, Bangkok, Thailand. Association for Computational Linguistics.
Ta, H. T., Rahman, A. B. S., Najjar, L., & Gelbukh, A. (2022). Transfer Learning from Multilingual DeBERTa for Sexism Identification. In CEUR Workshop Proceedings (Vol. 3202). CEUR-WS.
Ta, H. T., Rahman, A. B. S., Najjar, L., & Gelbukh, A. (2022). GAN-BERT: Adversarial Learning for Detection of Aggressive and Violent Incidents from Social Media. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022), CEUR Workshop Proceedings. CEUR-WS. org.
Ta, H. T., Rahman, A. B. S., Najjar, L., & Gelbukh, A. (2022). Multi-Task Learning for Detection of Aggressive and Violent Incidents from Social Media. In Proceedings of the 2022 Iberian Languages Evaluation Forum, IberLEF.
Ta, H. T., Rahman, A. B. S., Najjar, L., & Gelbukh, A. (2022). Multi-Task Learning for Detection of Aggressive and Violent Incidents from Social Media. In Proceedings of the 2022 Iberian Languages Evaluation Forum, IberLEF.
Rahman, A. B. S., Ta, H. T., Najjar, L., & Gelbukh, A. (2022). Paraphrase identification: Lightweight effective methods based features from pre-trained models. In Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022).
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