Publications

[21] Agents’ Last Exam

Published in

Our paper and code are now online!

Recommended citation: Sun, Yiyou, et al. "Agents' Last Exam." arXiv preprint arXiv:2606.05405 (2026).

[19] 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)

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Recommended citation: Jiang, Z. et al. (2026). LLMA4ITOps: A Lightweight LLM-Based Multi-Agent Framework for IT Operations and Maintenance. In: Mao, XL., Ren, Z., Yang, M. (eds) Natural Language Processing and Chinese Computing. NLPCC 2025. Lecture Notes in Computer Science(), vol 16103. Springer, Singapore. https://doi.org/10.1007/978-981-95-3346-6_36

[18] Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects

Published in Findings of the Association for Computational Linguistics (EMNLP 2025)

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Recommended citation: ChengYan Wu, Yiqiang Cai, Yang Liu, Pengxu Zhu, Yun Xue, Ziwei Gong, Julia Hirschberg, and Bolei Ma. 2025. Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects. In Findings of the Association for Computational Linguistics: EMNLP 2025, pages 6257–6274, Suzhou, China. Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-emnlp.332

[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

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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). https://doi.org/10.18653/v1/2024.emnlp-industry.56

[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)

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Recommended citation: B. D. Davis, Y. Liu and M. Anwar, "Repository of Metadata-Related Threats and Mitigation Strategies to Enhance Security in Smart Homes," 2024 Conference on AI, Science, Engineering, and Technology (AIxSET), Laguna Hills, CA, USA, 2024, pp. 189-193, doi: 10.1109/AIxSET62544.2024.00035.

[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

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Recommended citation: Liu Y, Anwar M. Analyzing twitter data for insights into public sentiment during covid-19 pandemic. In: New Trends in Intelligent Software Methodologies, Tools and Techniques: Proceedings of the 23rd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_24). SAGE Publications; 2024:412-425. doi:10.3233/FAIA240388

[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

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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

[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)

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Recommended citation: Y. Liu, Z. Yue and M. Anwar, "Monkeypox At-a-glance from Google Trends and Reddit," 2022 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), Arlington, VA, USA, 2022, pp. 166-167.

[5] A Study on Online Businesses’ Commitment to Consumer Privacy

Published in International Conference on Human-Computer Interaction

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Recommended citation: Almousa, M., Liu, Y., Zhang, T., Anwar, M. (2021). A Study on Online Businesses’ Commitment to Consumer Privacy. In: Moallem, A. (eds) HCI for Cybersecurity, Privacy and Trust. HCII 2021. Lecture Notes in Computer Science(), vol 12788. Springer, Cham. https://doi.org/10.1007/978-3-030-77392-2_25

[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

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Recommended citation: Liu Y, Whitfield C, Zhang T, Hauser A, Reynolds T, Anwar M. Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning. Health Inf Sci Syst. 2021 Jun 25;9(1):25. doi: 10.1007/s13755-021-00158-4. PMID: 34188896; PMCID: PMC8226148.

[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)

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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 International Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 1-8). https://doi.org/10.1145/3459930.3469550

[1] Activity detection and analysis using smartphone sensors

Published in IEEE International Conference on Information Reuse and Integration (IRI) 2018

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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. https://doi.org/10.1109/IRI.2018.00022