Yu Song

PhD student, Computer Science and Engineering, Michigan State University

Joined

July 2023

Names

Yu Song (Preferred)

Emails

****@msu.edu (Confirmed)

Personal Links

Career & Education History

PhD student

Computer Science and Engineering, Michigan State University (msu.edu)

2023 – Present

Advisors, Relations & Conflicts

PhD Advisor

Hui Liu

2023 – 2028

PhD Advisor

Jiliang Tang

2023 – 2028

Expertise

Machine Learning

Present

Publications

Can Graph Quantization Tokenizer Capture Transferrable Patterns?
Jingzhe Liu, Zhigang Hua, Yan Xie, Yu Song, Jiliang Tang
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Understanding Graph Self-Supervised Pre-training under Distribution Shifts: A Scaling Law Perspective
Bingheng Li, Shikun Liu, Yu Song, Jay Revolinsky, Haoyu Han, Subhabrata Mukherjee, Jiayuan Ding, Jiliang Tang
- Submitted to ICLR 2026
- Readers: Everyone
Learning Invariant Link Formation Mechanisms via Pretraining and Adaptation
Yu Song, Hui Liu
- IJCAI2025 workshop Causal Learning for Recommendation Systems
- Readers: Everyone
A Pure Transformer Pretraining Framework on Text-attributed Graphs
Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
- LoG 2024 Poster
- Readers: Everyone
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma
- LoG 2024 Poster
- Readers: Everyone
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights
Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan
- WSDM 2024
- Readers: Everyone
Where to Go Next for Recommender Systems? ID- vs. Modality-based recommender models revisited
Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni
- Published: 01 Jan 2023, Last Modified: 08 May 2023
- CoRR 2023
- Readers: Everyone
Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited
Zheng Yuan, Fajie Yuan, Yu Song, Youhua Li, Junchen Fu, Fei Yang, Yunzhu Pan, Yongxin Ni
- Published: 01 Jan 2023, Last Modified: 13 Nov 2023
- SIGIR 2023
- Readers: Everyone
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights
Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan
- Published: 01 Jan 2023, Last Modified: 13 Nov 2023
- CoRR 2023
- Readers: Everyone

Co-Authors

View all 35 co-authors