🎓 About Me

I am a Postdoc with Prof. Jiannong CAO (since 2024) at the Department of Computing, Hong Kong Polytechnic University. I earned my Ph.D. from the same department under the supervision of Prof. Xiao HUANG (2021–2024). Prior to that, I obtained my B.E. from Fudan University.

My research interests include graph learning, reasoning, and Large Language Models, with latest research presented at NeurIPS, ICML, TKDE, CIKM, etc.. Currently, I am working on Graph-based Retrieval-Augmented Generation for LLMs (graphRAG).

🎉 News

[2025.04] Released Agentic-RAG, a new open-source project for RAG: [code]
[2025.01] Our survey on graphRAG is released! [Paper|Github awesome-list]
[2024.12] One paper accepted to TKDE.
[2024.09] Our work LLM4EA is accepted to NeurIPS. [Paper|Code]
[2023.09] Our work DiffLogic is accepted to NeurIPS.

📔 Selected Publications

[Green]: Corresponding Author, [Blue]: Co-first Author

Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, Zheng Yuan, Huachi Zhou, Zijin Hong, Junnan Dong, Hao Chen, Yi Chang, Xiao Huang, A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models, preprint, 2025
Zhaoqing Li, Maiqi Jiang, Shengyuan Chen, Bo Li, Guorong Chen, Xiao Huang, Automated Heterogeneous Network learning with Non-Recursive Message Passing, preprint, 2025
Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang, Graph Cross-Correlated Network for Recommendation, TKDE, 2024
Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Jiannong Cao, Xiao Huang, Neuro-symbolic Entity Alignment via Variational Inference, preprint, 2024
Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang, Entity Alignment with Noisy Annotations from Large Language Models, NeurIPS, 2024
Shengyuan Chen, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun, Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs, NeurIPS, 2023
Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang, Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction, CIKM, 2023
Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu, RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computation, ICML, 2023

💼 Academic Service

PC Member: NeurIPS (2024-2025); ICML (2025); AISTATS (2025); ICLR (2025)
Reviewer: TNNLS (2024-2025); TKDD

🏆 Honors and Awards

[2025] Postdoc Matching Fund ~ Two Years
[2023] Departmental Top Conference Grant
[2022] Winner of “Most Appreciated Teaching Assistant” (~$30,000HKD)
[2018] Shanghai ‘TI Cup’ Undergraduate Electronic Design Contest ~ Second Price
[2015-2018] Fudan University Scholarship for Outstanding Students ~ Three Times
[2018] SCSK Corporation Scholarship
[2015-2017] National Scholarship of Encouragement and Support ~ Twice

🎨 Miscellaneous