Introduction

📢 I am currently seeking researcher/scientist positions in industry or academia.

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:

  1. Large Language Model driven Policy Exploration for Recommender Systems
    Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon Jose
    WSDM 2025 (Full Paper)

  2. 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)

  3. 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)

  4. 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:

  1. 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)

→ Full publication list

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. Jose

  • M.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