Yang Liu
Dr. Yang Liu is an assistant professor in the Department of Computer Information Systems at North Carolina Central University (NCCU) and the associate director of the Laboratory for Artificial Intelligence and Equity Research (LAIER). His research interests include natural language processing (NLP), machine learning, social media mining, public health monitoring and pandemic surveillance, human-centered AI, and quantum computing.
As an IBM-HBCU Quantum Center faculty fellow, he explores the potential applications of quantum computing and actively contributes to workforce development in quantum information science and engineering (QISE). He has actively served on multiple Institute of Electrical and Electronics Engineers (IEEE) conference program committees and has been a reviewer for over 20 distinguished journals and conferences.
Education
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Ph.D |
Computer Science, North Carolina A&T State University |
2024 |
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M.S. |
Computer Science, North Carolina A&T State University |
2020 |
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B.S. |
Electrical Engineering, North Carolina A&T State University |
2018 |
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B.E. |
Electrical Engineering and Automation, Henan Polytechnic University |
2018 |
Courses
Publications
Zhang, T., Liu, Y., et al. (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).
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.
Liu, Y., & Anwar, M. (2024). Analyzing Twitter Data for Insights into Public Sentiment During COVID-19 Pandemic. Frontiers in Artificial Intelligence and Applications. https://doi.org/10.3233/faia240388
Whitfield, C.*, Liu, Y.*, & Anwar, M. (2024). 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. Journal of Racial and Ethnic Health Disparities, 1-16. *Equal Contribution
Luitel, S.*, Liu, Y.*, & Anwar, M. (2024). Investigating fairness in machine learning-based audio sentiment analysis. AI and Ethics, 1-10. *Equal Contribution
Aldrich, B., Liu, Y., Almousa, M., & Anwar, M. (2023, September). Translating Keystroke and Mouse Dynamics Data to Classify Human Mood. In 2023 Fifth International Conference on Transdisciplinary AI (TransAI) (pp. 79-86). IEEE.
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. IEEE Access.
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.
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., 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), 1-16.
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).
Almousa, M.*, Liu, Y.*, Zhang, T.*, & Anwar, M. (2021, July). A Study on Online Businesses’ Commitment to Consumer Privacy. In International Conference on Human-Computer Interaction (pp. 391- 402). Cham: Springer International Publishing. *Equal Contribution
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.