[18] LLMA4ITOps: A Lightweight LLM-based Multi-Agent Framework for IT Operations and Maintenance
Published in The 14th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2025)
Publications
[17] RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance
Published in 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track
Recommended citation: 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).
[16] Audio Sentiment Analysis with Spectrogram Representations and Transformer Models
Published in In 2024 Conference on AI, Science, Engineering, and Technology (AIxSET)
Recommended citation: 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.
[15] A Repository of Metadata-related Threats and Mitigation Strategies to Enhance Security in Smart Homes
Published in In 2024 Conference on AI, Science, Engineering, and Technology (AIxSET)
Recommended citation: 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.
[14] Analyzing Twitter Data for Insights into Public Sentiment during COVID-19 Pandemic
Published in The 23th International Conference on Intelligent Software Methodologies, Tools, and Techniques
Recommended citation: Liu, Y. & Anwar, M. Analyzing Twitter Data for Insights into Public Sentiment during COVID-19 Pandemic
[13] Pandemic Surveillance Using Social Media Data, Natural Language Processing, and Machine Learning
Published in ProQuest
Recommended citation: Liu, Y. (2024). Pandemic Surveillance Using Social Media Data, Natural Language Processing, and Machine Learning (Doctoral dissertation, North Carolina Agricultural and Technical State University).
[12] 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
Published in Journal of Racial and Ethnic Health Disparities
Recommended citation: 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
[11] Investigating Fairness in Machine Learning-based Audio Sentiment Analysis
Published in AI and Ethics
Recommended citation: 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
[10] Translating Keystroke and Mouse Dynamics Data to Classify Human Mood
Published in IEEE Transdisciplinary Artificial Intelligence Conference
Recommended citation: Aldrich, B., Liu, Y., Almousa, M., & Anwar, M. (2023). Translating Keystroke and Mouse Dynamics Data to Classify Human Mood.
[9] Anomaly-based Intrusion on IoT networks using AIGAN - a Generative Adversarial Network
Published in IEEE Access
Recommended citation: 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.
[8] Investigating Fairness in Machine Learning-based Audio Sentiment Analysis using Spectrograms and Bag-of-visual-words
Published in Under Review
Recommended citation: Luitel, S., Liu, Y., & Anwar, M. (2023). Investigating Fairness in Machine Learning-based Audio Sentiment Analysis using Spectrograms and Bag-of-visual-words.
[7] Monkeypox At-a-glance from Google Trends and Reddit
Published in 2022 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
Recommended citation: 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.
[6] Learning Programming in Social Media: An NLP-powered Reddit Study
Published in 2022 Fourth International Conference on Transdisciplinary AI (TransAI)
Recommended citation: 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.
[5] A Study on Online Businesses’ Commitment to Consumer Privacy
Published in HCI for Cybersecurity, Privacy and Trust
Recommended citation: 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.
[4] Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning
Published in Health Information Science and Systems
Recommended citation: 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.
[3] Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina
Published in 12th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB'21)
Recommended citation: 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).
[2] A Comparative Study of Vector Space Language Models for Sentiment Analysis Using Reddit Data
Published in ProQuest
Recommended citation: 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).
[1] Activity detection and analysis using smartphone sensors
Published in 2018 IEEE International Conference on Information Reuse and Integration (IRI)
Recommended citation: 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.