💡 About Me

Hi! This is Jujia Zhao, a second year PhD candidate in the Leiden Institute of Advanced Computer Science (LIACS) from Leiden University, supervised by Zhaochun Ren and Suzan Verberne. My research focuses on LLM-based recommendation, unifying search and recommendation, LLM evaluation.

🔥 News

• 2026.08:  🎉🎉 Our paper ‘‘Unifying Search and Recommendation with Dual-View Representation Learning in a Generative Paradigm’’ is accepted by Transactions on Information Systems (TOIS 2026).
• 2026.04:  🎉🎉 Our paper ‘‘ReportLogic: Evaluating Logical Quality in Deep Research Reports’’ is accepted by The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026).
• 2026.04:  🎉🎉 Our paper ‘‘Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning’’ is accepted by ACM SIGIR Conference on Research and Development in Information (SIGIR 2026).
• 2025.07:  🎉🎉 Our paper ‘‘Model Meets Knowledge: Analyzing Knowledge Types for Conversational Recommender Systems’’ is accepted by 19th ACM Conference on Recommender Systems (RecSys 2025).
• 2025.01:  🎉🎉 Our paper ‘‘LLM-based federated recommendation’’ is accepted by Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025 Findings).

📝 Selected Publications

• ReportLogic: Evaluating Logical Quality in Deep Research Reports

  Jujia Zhao, Zhaoxin Huan, Zihan Wang, Xiaolu Zhang, Jun Zhou, Suzan Verberne, and Zhaochun Ren

  ACL 2026 | Paper | Code

• Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning

  Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, and Zhaochun Ren

  SIGIR 2026 | Paper | Code

• Unifying Search and Recommendation with Dual-View Representation Learning in a Generative Paradigm

  Jujia Zhao, Wenjie Wang, Chen Xu, Xiuying Chen, Zhaochun Ren and Suzan Verberne

  TOIS 2026 | Paper | Code

• Model Meets Knowledge: Analyzing Knowledge Types for Conversational Recommender Systems

  Jujia Zhao, Yumeng Wang, Zhaochun Ren and Suzan Verberne

  RecSys 2025 | Paper | Code

• A Federated Framework for LLM-based Recommendation

  Jujia Zhao, Wenjie Wang, Chen Xu, See-Kiong Ng and Tat-Seng Chua

  NAACL 2025 findings | Paper | Code

• Denoising Diffusion Recommender Model

  Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng and Tat-Seng Chua

  SIGIR 2024 | Paper | Code

• Popularity-aware Distributionally Robust Optimization for Recommendation System

  Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang and Tat-Seng Chua

  CIKM 2023 | Paper | Code

💻 Internships

• 2025.07 - 2025.12, Research Intern, Ant Group (Mentor: Zhaoxin Huan and Dr. Xiaolu Zhang), Hangzhou, China.
• 2022.08 - 2024.06, Research Intern, NExT++ Research Center (Supervisor: Prof. Wenjie Wang and Prof. Tat-Seng Chua), Singapore.

📖 Educations

2024.07 - Present

PhD Candidate

Leiden University, The Netherlands

2022.08 - 2024.06

Master of Science

National University of Singapore, Singapore

2018.08 - 2022.06

Bachelor of Automation

Beijing Institute of Technology, Beijing

🔭 Professional Services

• Invited Journal Reviewer for TOIS, TKDE, TIST
• Program Committee Member of KDD’24, SIGIR’25, SIGIR’26
• Area Chair of ACL ARR 2026