Yifei Sun

Yifei Sun

Ph.D. Student @ ZJU|NUS

Yifei Sun

I am a final-year CS Ph.D. student at Zhejiang University, fortunately advised by Prof. Yang Yang. Previously, I visited National University of Singapore (NUS) from Nov 2023 to Jun 2024. (working with Prof. Bingsheng He, Prof. Bryan Hooi and Prof. Zemin Liu).

My current research interests lie primarily in the area of Machine Learning and Data Mining on Graphs, including but not limited to graph neural networks, graph pre-training, and real-world applications on graphs. Moreover, in this era of LLMs, I am dedicated to building Graph Foundation Models (GFMs) and developing specialized graph LLMs.

⭐️ The main goal of my Ph.D. research is to build generalizable graph models and frameworks, capable of learning from rich and complex graph data and enhancing their utility across diverse downstream tasks and datasets.

Ongoing Work

  • [🌏Generalization at the Graph Principle Level] Towards Graph Foundation Model across Domains.
  • [💡Generalization at the Graph Task Level] Graph LLM for Zero-Shot Node Classification.

If interested, please drop me a message by email.

News

Selected Publications (Full version see Google Scholar)

[🌏Generalization at the Graph Principle Level]

TL;DR: Generalized graph model that tackles feature heterogeneity to achieve cross-domain transferability.

[🎈Generalization at the Graph Data Level]

TL;DR: Narrow the Gap between Graph Pre-training and Fine-tuning to enhance the generalization of graph models.

[🎈Generalization at the Graph Data Level]

TL;DR: Break the limitations of GNNs by creating new message passing paradigm.

Academic Activities

  • [2024.10] Gave a talk on “Exploring the Generalization of Graph Models” at the Doctoral Forum of SMP 2024.
  • [2024.5] Co-organized the full-day workshop on Graph Foundation Models at the WebConf 2024.