Second-year Ph.D. student · Emory University
Shengbo Gong
Data-efficient learning for language models and graphs.
I am a second-year Ph.D. student in Computer Science and Informatics at Emory University, co-advised by Prof. Wei Jin and Prof. Carl Yang. Before joining Emory, I worked with Prof. Yifei Yao at Shanghai Jiao Tong University and Prof. Qi Xuan at Zhejiang University of Technology.
- Data-Efficient LLMs
- Graph Learning
- Data-Centric AI
Outside research, I enjoy swimming, hiking, climbing, tabletop games, strategy games, films, and books.
01 / Latest
News
- Our work on efficient RAG was accepted to ACL Findings 2026.
- Our work on efficient graph condensation was accepted to KDD 2026.
- Received NeurIPS travel funding.
- GC4NC was accepted to NeurIPS 2025.
- Presented graph reduction research at the SDM Doctoral Forum and received NSF travel funding.
- Our co-first-author work on graph heterophily was accepted to TPAMI.
- Received a Google Cloud Research Credits Award.
- Our graph reduction survey was accepted to IJCAI 2024.
02 / Research
Selected Publications
Representative work spanning data-efficient LLMs, graph learning, and data-centric AI.
* Equal contribution.
03 / Experience
Internships
Applied Scientist Intern Amazon
Worked on foundation models for event streams and causal inference.
04 / Speaking
Public Presentations
ICDM Workshop on Blockchain: Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum.