Dr Xia Cui
Lecturer in Software Engineering
at Manchester Met / Hubei University JEI
My profile
Biography
Xia is a Lecturer in Software Engineering at the Manchester Metropolitan University. Previously, she completed a Knowledge Transfer Partnership (KTP) project to develop an AI-powered system to detect speaker’s vulnerability indicators in telephone conversations with the University of Manchester and VoiceIQ Ltd. She received PhD in Computer Science from the University of Liverpool in 2020, MSc in Web Science and Big Data Analytics from the University College London in 2015, and BSc (Hons.) Internet Computing from the University of Liverpool in 2013. During her MSc, she worked with BBC R&D to evaluate speech and music discrimination tools. Her research interests include Natural Language Processing, Speech Processing and Machine Learning Applications.
Interests and expertise
- Natural Language Processing (Text Processing)
- Unsupervised Domain Adaptation / Transfer Learning
- Speech Processing
- Multi-modal Learning (Speech + Text, Image + Text)
- Cyberpsychology (Text-based)
- Information Retrieval and Extraction
For MSc Prospective Students
I am happy to discuss the project with any student interested in my proposals or variations. Please email me and let me know your knowledge and ability in Python and Machine Learning/Natural Language Processing.
If you would like to explore other options within my interest, I will probably only accept a limited number of students due to limited capability.
For MPhil/PhD Prospective Students
Please email your project proposal and CV for informal discussion.
Teaching
- Databases: 22-23, 23-24 (JEI)
- Thematic Project: 23-24 (JEI)
- Industry and Community Engagement: 23-24 (JEI)
- Web Development: 23-24 (JEI)
- Full-Stack Web Development: 23-24 (JEI)
- Team Project: 23-24 (JEI)
- Software Testing and Quality Assurance: 23-24 (JEI)
- Graduate Skills: 23-24 (JEI)
Supervision
Current PhD Student:
Sakib Ahammed, working on Multimodal clinical and imaging learning algorithms for skin lesion
analysis [PhD Jan 2024-present, Principal Supervisor, shared with Dr. Wenqi Lu]
Research outputs
Invited Talks/Panels
- Panel Discussant on Artificial Intelligence and Psychotherapy Research, Society of Psychotherapy Research 54th International Annual Meeting, Jun 2023 (Dublin, Ireland).
- Work in Progress Presentation on Developing an AI-powered system for detecting indicators of mental health difficulties and negative life events using social media posts, Cyberpsychology Annual Conference, The British Psychological Society, Sep 2022 (Brighton, UK). [video]
- Guest Talk on Detecting Text Related to Mental Health using AI, Department of Psychology, The University of Manchester, Dec 2021 (Manchester, UK).
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Journal articles
Cui, X., Al-Bazzaz, N., Bollegala, D., Coenen, F. (2018) 'A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification.' The Knowledge Engineering Review, 33
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Conference papers
Cui, X., Hanley, T., Choudhury, M., Mu, T. (2024) 'Data-driven or dataless? Detecting indicators of mental health difficulties and negative life events in financial resilience using prompt-based learning.' 30/6/2024 - 5/7/2024.
Cui, X. (2023) 'xiacui at SemEval-2023 Task 11: Learning a Model in Mixed-Annotator Datasets Using Annotator Ranking Scores as Training Weights.' In The 17th International Workshop on Semantic Evaluation (SemEval-2023). Toronto, Canada, 13/7/2023 - 14/7/2023. Association for Computational Linguistics, pp. 1076-1084.
Cui, X., Gamage, A., Hanley, T., Mu, T. (2021) 'Identifying indicators of vulnerability from short speech segments using acoustic and textual features.' In Interspeech 2021. Brno, Czechia, 30/8/2021 - 3/9/2021. International Speech Communication Association (ISCA), pp. 1569-1573.
Cui, X., Bollegala, D. (2020) 'Multi-source attention for Unsupervised Domain Adaptation.' In The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP) 2020. Suzhou, China/Online, 4/12/2020 - 7/12/2020. Association for Computational Linguistics, pp. 873-883.
Cui, X., Bollegala, D. (2019) 'Self-adaptation for unsupervised domain adaptation.' In Recent Advances in Natural Language Processing (RANLP) 2019. Varna, Bulgaria, 2/9/2019 - 4/9/2019. Incoma Ltd., Shoumen, Bulgaria, pp. 213-222.
Cui, X., Kojaku, S., Masuda, N., Bollegala, D. (2018) 'Solving feature sparseness in text classification using core-periphery decomposition.' In The Seventh Joint Conference on Lexical and Computational Semantics. New Orleans, Louisiana, USA, 5/6/2018 - 6/6/2018. Association for Computational Linguistics, pp. 255-264.
Cui, X., Coenen, F., Bollegala, D. (2017) 'TSP: learning Task-Specific Pivots for Unsupervised Domain Adaptation.' In European Conference, ECML PKDD (Joint European Conference on Machine Learning and Knowledge Discovery in Databases) 2017. Skopje, Macedonia, 18/9/2017 - 22/9/2017. Ceci, M., Hollmén, J., Todorovski, L., Vens, C., Džeroski, S. (ed.) Cham: Springer, pp. 754-774.
Cui, X., Coenen, F., Bollegala, D. (2017) 'Effect of data imbalance on Unsupervised Domain Adaptation of Part-of-Speech tagging and pivot selection strategies.' In First International Workshop on Learning with Imbalanced Domains: Theory and Applications (ECML-PKDD 2017). 74. Skopje, Macedonia, 22/9/2017 - 22/9/2017. Torgo, L., Krawczyk, B., Branco, P., Moniz, N. (ed.) ML Research Press, pp. 103-115.
Oliehoek, F.A., Savani, R., Adderton, E., Cui, X., Jackson, D., Jimmieson, P., Christopher Jones, J., Kennedy, K., Mason, B., Plumbley, A., Dawson, L. (2017) 'LiftUpp: Support to Develop Learner Performance.' In 18th International Conference Artificial Intelligence in Education (AIED). 10331. Wuhan, China, 28/6/2017 - 1/7/2017. Springer, Cham, pp. 553-556.
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Theses and dissertations
Cui, X. (2020) Learning Transferable Features for Unsupervised Domain Adaptation in Natural Language Processing.
Cui, X. (2014) Evaluation of Speech/Music Discrimination Softwares for Broadcast Content.
Press and media
- Evaluation of Speech/Music Discrimination Softwares for Broadcast Content, Sep 2014. https://www.bbc.co.uk/rd/blog/2014-11-evaluating-speech-music-discriminators