Publications
Comprehensive and updated articles can be found on my Google Scholar profile.
Conference Proceedings
Wang, Q., et al. (2026) Benchmarking Human and LLM Annotation on Social Media: A Multi-Label Election-Related Misinformation Study. WWW (In Review).
Wang, Q., et al. (2026) “The explanation makes sense”: An empirical study on LLM performance in news classification and its influence on judgment in human-AI collaborative annotation. CHI (In Revision).
Wang, Q., Erqsous, M., Khatiwada, P., Karwankar, A., Alhassan, F. M., Chandrasekaran, A., … Mauriello, M. L. (2025). Leveraging Large Language Models for Review Classification and Rating Estimation of Mental Health Applications. In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM) (Vol. 19, pp. 2017–2029). DOI: https://doi.org/10.1609/icwsm.v19i1.35916
Barmaki, R. L., Kim, K., Guo, Z., Wang, Q., Yu, K., Pearlman, R., & Navab, N. (2024) A Large-Scale Feasibility and Ethnography Study of Screen-based AR and 3D Visualization Tools for Anatomy Education: Exploring Gender Perspectives in Learning Experience. IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AiXRVR) (pp. 205–214). DOI: https://doi.org/10.1109/AiXRVR59861.2024.00033
Baron, L., Wang, Q., Segear, S., Cohn, B. A., Kim, K., & Barmaki, R. (2021). Enjoyable Physical Therapy Experience with Interactive Drawing Games in Immersive Virtual Reality. In Proceedings of the 2021 ACM Symposium on Spatial User Interaction (SUI) (pp. 1–8). DOI: https://doi.org/10.1145/3485279.3485285
Journal Articles
Wang, Q., Erqsous, M., Barner, K. E., & Mauriello, M. L. (2025) LATA: A Pilot Study on LLM-Assisted Thematic Analysis of Online Social Network Data Generation Experiences. Proceedings of the ACM on Human-Computer Interaction, 9(2), 1–28. Presented at CSCW. DOI: https://doi.org/10.1145/3711022
Kiafar, B., Kullu, P., Lokesh, R., Chaudhari, A., Wang, Q., Sharmin, S., … Barmaki, R. L. (2025). Feasibility of Immersive Virtual Reality and Customized Robotics with Wearable Sensors for Upper Extremity Training. Proceedings of Machine Learning Research, 287, 1–14. Presented at CHIL.
Wang, Q., Zhang, Q., Sun, V., Boulay, C., Kim, K., & Barmaki, R. L. (2023) A Scoping Review of the Use of Lab Streaming Layer Framework in Virtual and Augmented Reality Research. Springer Virtual Reality (VIRE). DOI: https://doi.org/10.1007/s10055-023-00799-8
Kejriwal, M., Wang, Q., Li, H., & Wang, L. (2021). An Empirical Study of Emoji Usage on Twitter in Linguistic and National Contexts. Online Social Networks and Media (OSNEM), 24, 100149. DOI: https://doi.org/10.1016/j.osnem.2021.100149
Workshop Papers
Albwil, A., Wang, Q., Zolek, N., Mauriello, M. L., & Barner, K. (2025) Reliable or Risky? Assessing Diffusion Models for Biomedical Data Generation. In The Second Workshop on GenAI for Health: Potential, Trust, and Policy Compliance. GenAI for Health at NeurIPS. https://openreview.net/forum?id=2UtEuPkG5c
Khatiwada, P., Wang, Q., M., Barner, K. E., & Mauriello, M. L. (2025). Towards a Multi-modal Multi-Label Election-Context Repository for Classifying Misinformation. Proceedings of the ICWSM Workshops - Misinformation Detection in the Era of LLMs (MisD). DOI: https://doi.org/10.36190/2025.26
Posters
- Wang, Q., Beardsley, V. J., Zhang, Q., Kim, K., & Barmaki, R. (2021). An LSL-middleware prototype for VR/AR data collection. In Proceedings of the 2021 ACM Symposium on Spatial User Interaction (SUI) (pp. 1–2). DOI: https://doi.org/10.1145/3485279.3485331