Scholar
Weizhi Zhang
Google Scholar ID: TazcjBIAAAAJ
University of Illinois Chicago
Citations & Impact
Citations
375
H-index
9
i10-index
8
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted at conferences including EMNLP 2025, RecSys 2025, ACL, The Web Conference (WWW) 2025; one paper accepted at CIKM 2024; collaborative work 'RAG-Reasoning Survey' featured as Hugging Face Daily Paper with the highest endorsement; workshop proposal 'Personalization in the Era of Large Foundation Models' (PerFM) accepted at AAAI 2026.
Research Experience
- Working as a Research Scientist Intern at Meta; was an Applied Scientist Intern at Amazon; gave talks at Cohere Labs' Retrieval and Search Team; involved in multiple research projects such as 'Talk-to-Video: User Preference Alignment via Explicit Feedback' and 'Towards Efficient and Scalable Graph Recommendation'.
Education
- Pursuing a Ph.D. in Computer Science at the University of Illinois Chicago, supervised by Prof. Philip S. Yu; previously an Applied Scientist Intern at Amazon; completed bachelor's degree at the University of Glasgow and the University of Electronic Science and Technology of China.
Background
- Research interests include personalization, recommendation systems, large language models, and agents. Currently pursuing a Ph.D. in Computer Science at the University of Illinois Chicago under the supervision of Prof. Philip S. Yu.
Miscellany
- Outdoor enthusiast who enjoys hiking, road trips, and skiing; currently learning tennis; ENFJ personality type, enjoys connecting with people.
