Dr Xi Wang
School of Computer Science
Lecturer
Full contact details
School of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Profile
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Xi Wang is a Lecturer of Natural Language Processing at the University of Sheffield. Previously, he obtained his PhD from the University of Glasgow, supervised by Prof. Iadh Ounis and Prof. Craig Macdonald and focused on the research topic of developing review text-based recommender systems. After that, he joined the web intelligence group of University College London (UCL) as a postdoctoral researcher, supervised by Prof. Emine Yilmaz and worked on knowledge-augmented task-oriented dialogue systems. His current research interests are conversational AI, personalisation, and retrieval augmented generation, fairness, as well as relevant topics in the domain of natural language processing (NLP).
- Research interests
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- Natural Language Processing
- Conversational AI
- Retrieval-Augmented Generation
- Personalisation
- Fairness
- Machine Learning
- Publications
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Journal articles
- A Social-aware Gaussian Pre-trained model for effective cold-start recommendation. Information Processing & Management, 61(2), 103601-103601.
- BanditProp: Bandit Selection of Review Properties for Effective Recommendation. ACM Transactions on the Web, 16(4), 1-19.
- Task2KB: A Public Task-Oriented Knowledge Base. Proceedings of the AAAI Conference on Artificial Intelligence, 37(13), 16482-16484.
- University of Glasgow Terrier Team at the TREC 2020 Deep Learning Track.
- University of Glasgow Terrier Team at the TREC 2019 Deep Learning Track.
Chapters
- Evaluating Similarity Metrics for Latent Twitter Topics, Lecture Notes in Computer Science (pp. 787-794). Springer International Publishing
- Comparison of Sentiment Analysis and User Ratings in Venue Recommendation, Lecture Notes in Computer Science (pp. 215-228). Springer International Publishing
Conference proceedings papers
- Self Contrastive Learning for Session-Based Recommendation (pp 3-20)
- Simulated Task Oriented Dialogues for Developing Versatile Conversational Agents (pp 157-172)
- Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation. Findings of the Association for Computational Linguistics: EMNLP 2023, December 2023 - December 2023.
- A Survey on Asking Clarification Questions Datasets in Conversational Systems. PROCEEDINGS OF THE 61ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL 2023, VOL 1 (pp 2698-2716)
- Multi-modal Graph Contrastive Learning for Micro-video Recommendation. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
- MetaASSIST: Robust Dialogue State Tracking with Meta Learning. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, December 2022 - December 2022.
- Leveraging Review Properties for Effective Recommendation. Proceedings of the Web Conference 2021
- Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. Proceedings of the 29th ACM International Conference on Information & Knowledge Management
- BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. Fourteenth ACM Conference on Recommender Systems
- A Social-aware Gaussian Pre-trained model for effective cold-start recommendation. Information Processing & Management, 61(2), 103601-103601.
- Research group
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Natural Language Processing