Yuntong Hu

PhD Student in Computer Science, Emory University

✉ Email 🎓 Google Scholar in LinkedIn 📄 CV

I am a Ph.D. student at Emory University, supervised by Prof. Liang Zhao. My research interest lies at the intersection of Graph Learning and Natural Language Processing. I have research experience in LLM Post-Training, Retrieval-Augmented Language Modeling, Agentic AI, and Spatio-Temporal Modeling.

Education

Ph.D. in Computer Science

Emory University

Sep 2023 – May 2027 (expected)

B.E. in Network Engineering

Southwest University

Sep 2019 – Jun 2023

Experience

Applied Scientist Intern

AWS AI — Fundamental Research Team

Oct 2025 – Dec 2025

Software Engineering Intern

ByteDance — Applied Machine Learning

May 2025 – Aug 2025

News

Feb 2026Two papers accepted to ICML 2026 — on evolutionary multi-agent systems and continual RAG memory. 🎉
Oct 2025Started as an Applied Scientist Intern at AWS AI, Fundamental Research Team.
May 2025Joined ByteDance as a Software Engineering Intern on the Applied Machine Learning team.
Jan 2025GRAG accepted to NAACL 2025; CG-RAG accepted to SIGIR 2025.

Selected Publications

Bold = me · * = equal contribution. Full list on Google Scholar.

ICML 2026

Evolutionary Generation of Multi-Agent Systems

Yuntong Hu, Yuting Zhang, Matthew Trager, Yi Zhang, Shuo Yang, Wei Xia, Stefano Soatto

arXiv:2602.06511

Agentic AIMulti-Agent SystemsLLM

ICML 2026

RAG without Forgetting: Continual Query-Infused Key Memory

Yuntong Hu*, Sha Li*, Naren Ramakrishnan, Liang Zhao

arXiv:2602.05152

RAGContinual LearningLLM

WSDM 2026

Network Tomography with Path-Centric Graph Neural Network

Yuntong Hu, Junxiang Wang, Liang Zhao

Proc. of the 19th ACM Int'l Conf. on Web Search and Data Mining, 2026

Graph Neural Networks

SIGIR 2025

CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs

Yuntong Hu, Zhihan Lei, Zhongjie Dai, Allen Zhang, Abhinav Angirekula, Zheng Zhang, Liang Zhao

RAGGraph LearningLLM

NAACL 2025

GRAG: Graph Retrieval-Augmented Generation

Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao

arXiv:2405.16506

RAGGraph LearningLLM

KDD 2024

PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph

Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao

Proc. of the 30th ACM SIGKDD Conf., 2024

Graph LearningSpatio-Temporal

NeurIPS 2024

TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs

Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao

arXiv:2406.10310

BenchmarkGraph Learning

SIGSPATIAL 2024

Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories (Best Paper Candidate)

Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Züfle

arXiv:2410.00054

Spatio-TemporalOutlier Detection

IEEE TFS 2022

Time-Series Forecasting Based on Fuzzy Cognitive Visibility Graph and Weighted Multisubgraph Similarity

Yuntong Hu, Fuyuan Xiao

IEEE Transactions on Fuzzy Systems, 31(4): 1281–1293

Time SeriesGraph Learning

Awards & Honors

SIGSPATIAL 2024 — Best Paper Candidate.