Xi Wang is a Lecturer in Natural Language Processing at the University of Sheffield with nine years of research experience spanning conversational AI, personalization, and retrieval-augmented generation. After completing a PhD at the University of Glasgow, he worked on task-oriented dialogue systems as a postdoctoral research fellow at UCL and had industry exposure during an internship at NAVER LABS Europe. His work bridges NLP and IR, focusing on making conversational systems more context-aware and personalized through retrieval and hybrid architectures. Based in Sheffield, he combines academic rigor with practical system-building, often translating research prototypes toward real-world dialogue applications. An under-the-radar strength is his sustained focus on the intersection of retrieval methods and generation, positioning him to advance scalable, user-centered conversational agents.
9 years of coding experience
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Zhengzhou University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Glasgow
BETA-Recsys: Build, Evaluate and Tune under A same framework for Recommendations
Contributions:20 PRs, 29 pushes in 8 months
nlpevaluaterecsystuneabtesting
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