Introduction
I am a Ph.D. candidate in Computing Science at the University of Glasgow, supervised by Prof. Joemon M. Jose. My research focuses on AI Agent & Large Language Models, with particular interests in Reinforcement Learning, Personalization, and Multi-modal Recommendation & Information Retrieval. I have been working closely with Dr. Alexandros Karatzoglou and Dr. Ioannis Arapakis, who are expert industrial researchers, for long-term collaboration and mentorship throughout my Ph.D. journey.
I completed research internships at Tencent and Amazon before. I have published 14+ papers in top-tier conferences and journals, including SIGIR, CIKM, WSDM, ECIR, IEEE TKDE, and IEEE TPAMI.
Research Interests
My research lies at the intersection of artificial intelligence and information retrieval, with a focus on:
- Large Language Models & AI Agents: Leveraging LLMs for recommendation and information retrieval tasks
- Reinforcement Learning: Decision transformers, multi-objective optimization, and policy exploration for recommender systems
- Personalization: User preference modeling and personalized content generation
- Multi-modal Learning: Cross-modal retrieval, video understanding, and multi-modal recommendation systems
Selected Publications
Conference Papers:
Large Language Model driven Policy Exploration for Recommender Systems
Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon Jose
WSDM 2025 (Full Paper)Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling
Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon Jose
SIGIR 2024 (Full Paper)Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers
Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Xuri Ge, Joemon Jose
CIKM 2024 (Full Paper)Empowering Legal Citation Recommendation via Efficient Instruction-Tuning of Pre-trained Language Models
Jie Wang, Kanha Bansal, Ioannis Arapakis, Xuri Ge, Joemon M. Jose
ECIR 2024 (Full Paper)
Journal Papers:
- Beyond Accuracy: Decision Transformers for Reward-driven Multi-objective Recommendations
Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon Jose, Xuri Ge
IEEE Transactions on Knowledge and Data Engineering (TKDE)
Experience
- Applied Scientist Intern, Amazon, Seattle, USA (July 2025 - Oct 2025)
- Project: Personalized Video Moment Recommendation
- Teaching Assistant, University of Glasgow, UK (Dec 2022 - Sep 2024)
- Master Thesis Supervision (2023-24)
- COMPSCI2001: Introduction to Object-Oriented Programming
- COMPSCI1018: Computing Science 1S - Computing Systems
- COMPSCI4077: Web Science (MSc Level)
- Research Intern, Tencent (Dec 2021 - May 2022)
- Project: Transferable Recommendation via Mixture-of-Modality User Feedback
Recent News
- [Jul 2025] Starting as Applied Scientist Intern at Amazon, Seattle
- [May 2025] One paper accepted to IEEE TKDE
- [Oct 2024] One paper accepted to WSDM 2025
- [2024] Two papers accepted to CIKM 2024 and SIGIR 2024
- [Dec 2023] One paper accepted to ECIR 2024
- …
Education
Ph.D. in Computing Science, University of Glasgow, UK (2021 - 2026)
Supervisor: Prof. Joemon M. JoseM.S. in Software Engineering, Xi’an Jiaotong University, China (2018 - 2021)
B.S. in Software Engineering, Dalian University of Technology, China (2014 - 2018)
Academic Service
Program Committee Member & Reviewer:
- Conferences: WWW, SIGIR, CIKM, WSDM, ICLR, AAAI, ECIR …
- Journals: IEEE TPAMI, ACM TOIS, IPM …
Teaching:
- Master Thesis Supervision, University of Glasgow (2023-24)
- Teaching Assistant for multiple undergraduate and postgraduate courses (2022-24)
Contact
Feel free to reach out if you’re interested in collaboration or have questions about my research!
- Email: j.wang.9@research.gla.ac.uk
- Google Scholar: Jie Wang