Past Publications and Program Outcomes

  1. Hossain, K. Newman*, A. Bao*, M. Mann*, C. Kurumada, W. Hall, and Z. Bai, “Supporting ASL Communication Between Hearing Parents and Deaf Children,” presented at the 25th International ACM SIGACCESS Conference on Computers and Accessibility, 2023.
  2. Hossain, M. L. Cahoon*, Y. Liu, C. Kurumada, and Z. Bai, “Context-responsive ASL Recommendation for Parent-Child Interaction,” in Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility, 2022, pp. 1–5.
  3. Cahoon*, E. Hossain, Y. Liu, Z. Bai, and C. Kurumada, “Out of Sight, Out of Mind: Comparing Deaf and Hard of Hearing Child’s Response to ASL Recommendation Systems,” in 2022 IEEE MIT Undergraduate Research Technology Conference (URTC), 2022, pp. 1–6.
  4. Tenesaca*, J. Y. Oh*, C. Lee*, W. Hu*, and Z. Bai, “Augmenting Communication Between Hearing Parents and Deaf Children,” in 2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2019, pp. 431–434.
  5. R. Zeng, D. Lilienthal*, M. C. Iordan, and E. A. Piazza, “Using a Language Transformer Model to Capture Creativity in Improvised Narratives,” in Proceedings of the Annual Meeting of the Cognitive Science Society, vol. 44, no. 44, 2022.
  6. H. Liu, J. Hootman, D. Li, and Z. Xie, “Public Perceptions of Synthetic Cooling Agents in Electronic Cigarettes on Twitter,” PLOS ONE, vol. 19, no. 3, p. e0292412, 2024. doi: 10.1371/journal.pone.0292412.
  7. Bao*, K. Newman*, M. Mann, E. Hossain, C. Kurumada, and Z. Bai, “Building User-Centered ASL Communication Technologies for Parent-Child Interactions,” presented at the MIT Undergraduate Research Technology Conference, Cambridge, MA, 2023.
  8. Liu*, J. Hootman*, Z. Xie, and D. Li, “Public Perceptions of Synthetic Cooling Agents in E-Cigarettes on Twitter,” presented at the MIT Undergraduate Research Technology Conference, Cambridge, MA, 2023.
  9. Luo* and M.-L. Lee, “Binaural Audio Quality Evaluation Using a Binaural Dummy Head and a Spherical Microphone Array,” presented at the Research Experiences for Undergraduates (REU) Symposium, Council on Undergraduate Research, Alexandria, VA, 2021.
  10. Li, E. Hossain, H. Wang, M. Mann, J. Yu, A. Bao, K. S. Newman, C. Kurumada, W. Hall, and Z. Bai, “Bridging Barriers: An AI-Mediated Communication Technology for Hearing Parents and Deaf Children,” presented at the ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) [under review], 2024.
  11. Sigel, M. Zhou, and J. Luo, “Music Sentiment Transfer,” arXiv preprint arXiv:2110.05765, 2021.
  12. Barlow*, J. Kipper, and Ma, “Conceptual Complexity, Conceptual Analysis, and Machine Learning,” Synthese(Revise and Resubmit), 2022.
  13. Truong*, C. Useda*, L. Dongmei, and Z. Xie, “Perceptions and Discussion of IQOS on Twitter within the United States versus the United Kingdom,” in preparation.
  14. Kautz, S. Field*, L. Fowler*, C. Holtz, B. King, S. Srivastava, G. Heyworth, K. Huskin, B. King, A. J. Zawacki, and A. Starynsk, “Machine Reading of Ancient Manuscripts,” in 53rd International Congress on Medieval Studies, Western Michigan University, 2018.
  15. Singhal, M. R. Ali, R. A. Baten, C. Kurumada, E. W. Marvin, and M. E. Hoque, “Analyzing the Impact of Gender on the Automation of Feedback for Public Speaking,” in 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018, pp. 607–613.
  16. Tian, C. Guan, J. Goodman*, M. Moore*, and C. Xu, “Audio-Visual Interpretable and Controllable Video Captioning,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019, pp. 9–12.
  17. Lam*, M.-L. Lee, and S. Philbert, “Measuring Speech Intelligibility Using Head-Oriented Binaural Room Impulse Responses,” in Audio Engineering Society Convention 147, 2019.
  18. Segerstrom*, M.-L. Lee, and S. Philbert, “Evaluating Four Variants of Sine Sweep Techniques for Their Resilience to Noise in Room Acoustic Measurements,” in Audio Engineering Society Convention 147, 2019.
  19. Cribb* and S. Pai, “Recurrent Variational Autoencoders for Musical Style Transfer,” presented at the Research Experiences for Undergraduates (REU) Symposium, Council on Undergraduate Research, Alexandria, VA, 2018.
  20. Singhal*, E. Cole, and M. Hoque, “Analyzing the Impact of Gender on the Automation of Feedback for Job Interviews,” presented at the Research Experiences for Undergraduates (REU) Symposium, Council on Undergraduate Research, Alexandria, VA, 2017.
  21. Wan, X. Zhou, Z. Ye, C. K. Mortensen*, and Z. Bai, “SmileyCluster: Supporting Accessible Machine Learning in K–12 Scientific Discovery,” in Proceedings of the Interaction Design and Children Conference, 2020, pp. 23–35.
  22. Cassano, E. Cole*, K. Jakubowski, and E. A. Piazza, “Quantifying the Influence of Musical Features on Perceptual Similarity of Popular Songs,” in Proceedings of the Annual Meeting of the Cognitive Science Society, vol. 45, no. 45, 2023.
  23. Tao*, D. Diaz, Z. Xie, L. Chen*, D. Li, and R. O’Connor, “Potential Impact of a Paper About COVID-19 and Smoking on Twitter Users’ Attitudes Toward Smoking: Observational Study,” JMIR Formative Research, vol. 5, no. 6, p. e25010, 2021.