🎓 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, ACL, CIKM, etc.. Currently, I am working on Graph-based Retrieval-Augmented Generation for LLMs (graphRAG).

🎉 News

• [2025.07] 🔥🔥🔥 Our NeurIPS’24 paper LLM4EA ranks #1st in Google Scholar search results for “entity alignment” papers in the past two years (2024-2025)!
• [2025.06] Released a GraphRAG benchmark: [Homepage|Paper|Code|Slides]
• [2025.05] Our work SKETCH is accepted to ACL (main track).
• [2025.05] Our work SGU-SQL is accepted to ICML. [Paper|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 (Full List)

[†]: Corresponding Author, [‡]: Co-first Author

Preprint:

• [Arxiv’25] Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang, Zeyang Cui, Hao Chen, Yilin Xiao, Jiannong Cao, Xiao Huang, You Don’t Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures.
• [Arxiv’25] 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.
• [Arxiv’25] Shengyuan Chen, Qinggang Zhang, Zheng Yuan, Wen Hua, Jiannong Cao, Xiao Huang, Neuro-symbolic Entity Alignment via Variational Inference.

Published:

• [ACL’25] Chuang Zhou, Zhu Wang, Shengyuan Chen†, Jiahe Du, Qiyuan Zheng, Zhaozhuo Xu, Xiao Huang, Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation.
• [ICML’25] Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen†, Feiran Huang, Xiao Huang, Structure-Guided Large Language Models for Text-to-SQL Generation.
• [NeurIPS’24] Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang, Entity Alignment with Noisy Annotations from Large Language Models.
• [NeurIPS’23] Shengyuan Chen, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun, Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs.
• [ICML’23] Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu, RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computation.

🏆 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

💼 Academic Service

• Program Committee: NeurIPS (2024-2025); ICML (2025); AISTATS (2025); ICLR (2025-2026); AAAI (2026)

• Reviewer: TNNLS; TKDD