Journal publications

  • Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, Bartlomiej Swiatczak, Geir Kjetil Sandve, Victor Greiff, and Dag Trygve Truslew Haug. Linguistically inspired roadmap for building biologically reliable protein language models. Nature Machine Intelligence, ISSN 2522-5839. [doi] [arXiv] [preprint pdf]
  • Philippe A. Robert, Rahmad Akbar, Robert Frank, Milena Pavlović, Michael Widrich, Igor Snapkov, Andrei Slabodkin, Maria Chernigovskaya, Lonneke Scheffer, Eva Smorodina, Puneet Rawat, Brij Bhushan Mehta, Mai Ha Vu, Ingvild Frøberg Mathisen, Aurél Prósz, Krzysztof Abram, Alex Olar, Enkelejda Miho, Dag Trygve Tryslew Haug, Fridtjof Lund-Johansen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, and Victor Greiff. Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction. Nature Computational Science, 2(12):845- 865. ISSN 2662-8457. [doi]
  • Rahmad Akbar, Habib Bashour, Puneet Rawat, Philippe A. Robert, Eva Smorodina, Tudor-Stefan Cotet, Karine Flem-Karlsen, Robert Frank, Brij Bhushan Mehta, Mai Ha Vu, Talip Zengin, Jose Gutierrez-Marcos, Fridtjof Lund-Johansen, Jan Terje Andersen, and Victor Greiff (2022). Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies., mAbs, 14:1 [doi] [pdf]
  • Mai Ha Vu, Ashkan Zehfroosh, Kristina Strother-Garcia, Michael Sebok, Jeffrey Heinz, and Herbert G. Tanner (2018). Statistical relational learning with unconventional string models. Frontiers in Robotics and AI, 5:76 [doi] [pdf]

Preprints

  • Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, Bartlomiej Swiatczak, Geir Kjetil Sandve, Dag Trygve Truslew Haug, and Victor Greiff. 2022. Immunolingo: Linguistics-based formalization of the antibody language. ArXiv preprint [doi] [pdf]

Conference proceedings

  • Mai Ha Vu, Aniello De Santo, and Hossep Dolatian (2022). Logical Transductions for the Typology of Ditransitive Prosody. In Proceedings of the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 29-38, Seattle, Washington. Association for Computational Linguistics. [html] [pdf]
  • Mai Ha Vu, Nazila Shafiei, and Thomas Graf (2019). Case assignment in TSL syntax: a case study. Proceedings of the Society for Computation in Linguistics 2(28) [doi] [pdf]
  • Mai Ha Vu and Karoliina Lohiniva (2019). In situ wh-hell: The view from Hungarian. In M. Baird and J. Pesetsky (Eds.), NELS 49: Proceedings of the Forty-Ninth Annual Meeting of the North East Linguistic Society: Volume 3, Amherst, MA, pp. 275 – 284. GLSA [pdf]
  • Mai Ha Vu (2018). Towards a formal description of NPI-licensing patterns. Proceedings of the Society for Computation in Linguistics 1(17) [doi] [pdf]
  • Jinwoo Jo and Mai Ha Vu (2018). A syntactic account of morphological causatives in Japanese and Korean. In M. S. K. Shin Fukuda and M.-J. Park (Eds.), Proceedings of the 25th Japanese/Korean Linguistics Conference, Poster Papers. CSLI Publications [pdf]
  • Amanda Payne, Mai Ha Vu, and Jeffrey Heinz (2017). A formal analysis of correspondence theory. In Proceedings of the Annual Meetings on Phonology, Volume 4. LSA [doi] [pdf]

Conference presentations

  • Mai Ha Vu, Aniello De Santo, and Hossep Dolatian (2022). Logical Transductions for the Typology of Ditransitive Prosody. Presentation at the 19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, Seattle, Washington. Association for Computational Linguistics. [slides]
  • Mai Ha Vu and So Young Lee (2022). Comparing neural-network based language models to human sentence processing: choice of task matters. Poster presentation at Human Sentence Processing, San Diego, CA [abstract] [slides]
  • Mai Ha Vu, Nazila Shafiei, and Thomas Graf (2019). Case assignment in TSL syntax: a case study. Poster presentation at the Society of Computation in Linguistics, New York City, NY [poster]
  • Mai Ha Vu (2019). Quantificational force of Hungarian NPIs: evidence from adverbial scope. Poster presentation at the Linguistic Society of America Annual Meeting, New York City, NY [abstract] [poster]
  • Mai Ha Vu (2018). Towards a formal description of NPI-licensing patterns. Poster presentation at the Society of Computation in Linguistics, Salt Lake City, UT [poster]
  • Mai Ha Vu and Karoliina Lohiniva (2018). In situ wh-hell: The view from Hungarian. Poster presentation at the 49th Annual Meeting of the Northeast Linguistic Society, Ithaca, NY [abstract] [poster]
  • Mai Ha Vu and Karoliina Lohiniva (2018). In-situ Hungarian wh-hell: evidence against an intervention account. Poster presentation at the 28th Colloquium of Generative Grammar, Tarragona, Spain [abstract] [poster]
  • Jinwoo Jo and Mai Ha Vu (2017). A syntactic account of morphological causatives in Japanese and Korean. Poster presentation at the 25th Japanese/Korean Linguistics Conference, Honolulu, HI [abstract] [poster]
  • Jinwoo Jo and Mai Ha Vu (2017). Typology of morphological causatives: A syntactic account. Poster presentation at the 19th Seoul International Conference on Generative Grammar, Seoul, Korea [abstract] [poster]
  • Mai Ha Vu (2017). Focus negation is constituent negation in Hungarian. Poster presentation at Linguistic Society of America Annual Meeting, Austin, TX [abstract] [poster]
  • Amanda Payne, Mai Ha Vu, and Jeffrey Heinz (2016). A formal analysis of Correspondence Theory. Poster presentation at the Annual Meeting of Phonology, Los Angeles, CA [abstract] [poster]
  • Justin Rill and Mai Ha Vu (2015). Extreme locality in Balinese complex sentences. Poster presentation at the Linguistic Society of America Annual Meeting, Portland, OR [poster]

Other

  • Mai Ha Vu (2022). Immunolingo: Leveraging linguistic insights to answer immunological questions. Presentation at CPS Lunch at University of Oslo. [slides]
  • Mai Ha Vu (2021). Immunolinguistics: Applying linguistics to biological sequences. Presentation at the Linguistics Seminar at University of Oslo. [slides]
  • Mai Ha Vu (2019). A quantifier-based approach to NPI-licensing typology: Empirical and computational investigations. PhD defense presentation. [slides]
  • Mai Ha Vu (2019). A quantifier-based approach to NPI-licensing typology: Empirical and computational investigations. University of Delaware PhD thesis. [pdf]