Vaughn, A., Biocco, P., Liu, Y., & Anwar, M. (2018, July). Activity detection and analysis using smartphone sensors. In 2018 IEEE International Conference on Information Reuse and Integration (IRI) (pp. 102-107). IEEE.
Liu, Y. (2020). A comparative study of vector space language models for sentiment analysis using reddit data (Doctoral dissertation, North Carolina Agricultural and Technical State University).
Whitfield, C., Liu, Y., & Anwar, M. (2021, August). Surveillance of COVID-19 pandemic using social media: a reddit study in North Carolina. In Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 1-8).
Liu, Y., Whitfield, C., Zhang, T., Hauser, A., Reynolds, T., & Anwar, M. (2021). Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning. Health Information Science and Systems, 9(1), 25.
Almousa, M., Liu, Y., Zhang, T., & Anwar, M. (2021, July). A Study on Online Businesses’ Commitment to Consumer Privacy. In HCI for Cybersecurity, Privacy and Trust: Third International Conference, HCI-CPT 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings (pp. 391-402). Cham: Springer International Publishing.
Liu, Y., & Anwar, M. (2022, September). Learning Programming in Social Media: An NLP-powered Reddit Study. In 2022 Fourth International Conference on Transdisciplinary AI (TransAI) (pp. 55-58). IEEE.
Liu, Y., Yue, Z., & Anwar, M. (2022, November). Monkeypox At-a-glance from Google Trends and Reddit. In 2022 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) (pp. 166-167). IEEE.
Luitel, S., Liu, Y., & Anwar, M. (2023). Investigating Fairness in Machine Learning-based Audio Sentiment Analysis using Spectrograms and Bag-of-visual-words.
Liu, Z., Hu, J., Liu, Y., Roy, K., Yuan, X., & Xu, J. (2023). Anomaly-based Intrusion on IoT networks using AIGAN - a Generative Adversarial Network.
Aldrich, B., Liu, Y., Almousa, M., & Anwar, M. (2023). Translating Keystroke and Mouse Dynamics Data to Classify Human Mood.
Luitel, S., Liu, Y. & Anwar, M. Investigating fairness in machine learning-based audio sentiment analysis. AI Ethics (2024). https://doi.org/10.1007/s43681-024-00453-2
Whitfield, C., Liu, Y. & Anwar, M. Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing. J. Racial and Ethnic Health Disparities (2024). https://doi.org/10.1007/s40615-024-01996-0
Liu, Y. (2024). Pandemic Surveillance Using Social Media Data, Natural Language Processing, and Machine Learning (Order No. 31145664). Available from ProQuest Dissertations & Theses Global. (3067802553). https://proxyhu.wrlc.org/login?url=https://www.proquest.com/dissertations-theses/pandemic-surveillance-using-social-media-data/docview/3067802553/se-2
Liu, Y. & Anwar, M. Analyzing Twitter Data for Insights into Public Sentiment during COVID-19 Pandemic
Davis, B. D., Liu, Y., & Anwar, M. (2024, September). Repository of Metadata-Related Threats and Mitigation Strategies to Enhance Security in Smart Homes. In 2024 Conference on AI, Science, Engineering, and Technology (AIxSET) (pp. 189-193). IEEE.
Luitel, S., Liu, Y., & Anwar, M. (2024, September). Audio Sentiment Analysis with Spectrogram Representations and Transformer Models. In 2024 Conference on AI, Science, Engineering, and Technology (AIxSET) (pp. 149-153). IEEE.
Zhang, T., Jiang, Z., Bai, S., Zhang, T., Lin, L., Liu, Y., & Ren, J. (2024, November). RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track (pp. 738-754).
Speaker at The IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), WASHINGTON D.C., USA
Award at IEEE SoutheastCon, Atlanta, GA, USA
Speaker at IBM HBCU Quantum Center Symposium, Howard University, WASHINGTON D.C., USA
Award at North Carolina Central University, School of Business, Durham, NC, USA