Understanding Generative Recommendation with Semantic IDs from a Model-scaling View
KDD 2026 - ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Jingzhe Liu
Ph.D. Student · Michigan State University
Advised by Prof. Jiliang Tang
Previous B.S. from Shanghai Jiao Tong University
Advised by Prof. Jiliang Tang
Previous B.S. from Shanghai Jiao Tong University
My research focuses on enhancing LLMs and agents with stronger personalization capabilities, enabling machine learning systems to better understand, adapt to, and support people.
“I know that I know nothing.”
“Know thyself.” —Socrates
Education
Michigan State University
Ph.D. Student · 2023 ~ Present
Computer Science and Engineering · Advisor: Prof. Jiliang Tang
Shanghai Jiao Tong University
B.Eng. · 2019 ~ 2023
Electronic and Computer Engineering
Work Experience
Snapchat
May ~ Sep 2026
Research Intern · User Modeling and Personalization Team · Agentic Retrieval
Snapchat
May ~ Sep 2025
Research Intern · User Modeling and Personalization Team · Generative Recommendation
Selected Publications
Filter by research area.
Towards Neural Scaling Laws on Graphs
LOG 2024 - Learning on Graphs Conference.
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
NeurIPS D&B Track 2024 - Dataset and Benchmark Track.
A Pure Transformer Pretraining Framework on Text-attributed Graphs
LOG 2024 - Learning on Graphs Conference.
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
LOG 2024 - Learning on Graphs Conference.
Honors And Awards
SDM Doctor Student Travel Award
2025
Outstanding Graduate in Shanghai Jiao Tong University
2023
Silver Award in Capstone Design of Shanghai Jiao Tong University
2023
Yu Liming Scholarship
2021
Jiong Wu & Jie Sun Sunshine Scholarship
2020