Xiao HUANG
Assistant Professor, Department of Computing
The Hong Kong Polytechnic University
Research: data mining, machine learning, agentic AI. Specific topics include graph retrieval-augmented generation, text-to-SQL, knowledge graphs, collaborative filtering. I am actively recruiting Ph.D. students. Feel free to email me your CV.
[2026/4] I'm General Co-Chair of WSDM 2027 (in Hong Kong).
[2026/4] We have five papers accepted by ACL 2026.
[2026/4] We released three Surveys: Agent Memory, Graph RAG, Self-evolution Agents
[2026/1] Our Graph RAG for education project has been funded.
[2025/10] Our ITF project Graph RAG has been funded.
[2025/10] We released three Graph RAG datasets.
Selected Publications (more papers)
Retrieval-augmented generation
Luyao Zhuang, Shengyuan Chen, Yilin Xiao, Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Xiao Huang, LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora, ICLR, 2026 (Code).
Chuang Zhou, Junnan Dong, Yilin Xiao, Shengyuan Chen, Su Dong, di yin, Xing Sun, Zhaozhuo Xu, Xiao Huang, Query-Aware Knowledge Retrieval via Hyperbolic Structuring, ACL, 2026.
Chuang Zhou, Zheng Yuan, Linhao Luo, Zhaozhuo Xu, Yilin Xiao, Junnan Dong, Siyu An, Di Yin, Xing Sun, Xiao Huang, Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG, ACL, 2026.
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 preprint arXiv:2501.13958, 2025. (GitHub)
LLM-based text-to-SQL
Zijin Hong, Hao Chen, Zheng Yuan, Qinggang Zhang, Luyao Zhuang, Qing Liao, Feiran Huang, Yangqiu Song, Xiao Huang, ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement, KDD, 2026.
Zheng Yuan, Hao Chen, Zijin Hong, Qinggang Zhang, Feiran Huang, Qing Li, Xiao Huang, Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation, ICDE, 2026.
Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang, Structure-Guided Large Language Model for Text-to-SQL Generation, ICML, 2025 (Slides).
Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang, Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL, IEEE Transactions on Knowledge and Data Engineering, 2025.
Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Qijie Shen, Feiran Huang, Xiao Huang, LLM Collaborative Filtering: User-Item Graph as New Language, AAAI, 2026.
Services
Organization committee member: ADMA 2026 (Short Paper Track Co-Chair), ICDE 2025 (PhD Symposium Co-Chair), PAKDD 2026 (Doctoral Consortium Co-Chair)
SPC member/Area Chair: EMNLP 2026, NeurIPS 2026, KDD 2026, ICLR 2026, PAKDD 2026, EACL 2026, AAAI 2026
PC member: ICML 2021-2026, SIGIR 2026, ICLR 2022-2026, NeurIPS 2021-2025, IJCAI 2020-2025, AAAI 2021-2023, KDD 2019-2023, TheWebConf 2022-2023, CIKM 2019-2022, WSDM 2021-2023, SDM 2022, ICKG 2020-2021
Reviewer: TPAMI, IEEE TKDE, ACM TKDD, ACM Computing Surveys, ACM TOIS, IEEE Transactions on Cybernetics, IEEE Transactions on Big Data, IEEE TCSS, ACM TIST
Session Chair: PAKDD 2026, AAAI 2026, IJCAI 2023, WSDM 2023
Editorial board member: Computers & Education: X Reality
Awards and Patents
ICML 2026 Silver Reviewer
Best Paper Award Honorable Mention at SIGIR 2023
Best Poster Presentation Award at PolyU Academy for Interdisciplinary Research Conference 2023
BEST PAPER at the International Conference On Web-Based Learning 2022, Tenerife, Spain
US Patent, KNOWLEDGE-GRAPH-EMBEDDING-BASED QUESTION ANSWERING, US 2020/0242444 A1
Media Coverage
Biography
Dr. Xiao Huang is an Assistant Professor in the Department of Computing at The Hong Kong Polytechnic University. He received his Ph.D. in Computer Engineering from Texas A&M University in 2020, his M.S. in Electrical Engineering from the Illinois Institute of Technology in 2015, and his B.S. in Engineering from Shanghai Jiao Tong University in 2012. His research interests include LLM reasoning, retrieval-augmented generation, text-to-SQL, graph learning, knowledge graphs, and recommender systems. His work has earned over 7,000 citations and has been recognized with a Best Paper Award Honorable Mention at SIGIR 2023. He has led nine research projects as Principal Investigator, securing total funding in excess of HKD 7.5 million. He serves as General Co-Chair of WSDM 2027, Short Paper Track Co-Chair of ADMA 2026, Doctoral Consortium Co-Chair for PAKDD 2026, and PhD Symposium Co-Chair for ICDE 2025. He has been ranked among the World's Top 2% Scientists (Stanford List) for three consecutive years (2023–2025). Prior to joining PolyU, he gained industry research experience as an intern at Microsoft Research and Baidu USA.