Portrait of Xiao Huang

Xiao HUANG

Assistant Professor, Department of Computing
The Hong Kong Polytechnic University
Research interests: graph representation learning, knowledge graphs, large language models, retrieval-augmented generation, recommender systems, text-to-SQL, anomaly detection. I am actively recruiting Ph.D. students and postdocs. Feel free to drop me emails with your CV.


Selected Publications (more papers)

Graph representation learning

  1. RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computation, Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu, ICML 2023.

  2. Dirichlet Energy Constrained Learning for Deep Graph Neural Networks, Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu, NeurIPS, 2021.

Knowledge graphs

  1. Cost-efficient Knowledge-based Question Answering with Large Language Models, Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang, NeurIPS 2024.

  2. Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering, Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang, ACL, 2024.

  3. Entity Alignment with Noisy Annotations from Large Language Models, Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang, NeurIPS, 2024.

  4. Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs, Shengyuan Chen, Yunfeng Cai, Huang Fang, Xiao Huang, Mingming Sun, NeurIPS, 2023.

  5. Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs, Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang, TheWebConf, 2023 (ACM version).

  6. Active Ensemble Learning for Knowledge Graph Error Detection, Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao, WSDM, 2023 (ACM version).

  7. Knowledge Graph Embedding Based Question Answering, Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li, WSDM 2019 (ACM version, Slides, Code).

Graph-based retrieval-augmented generation

  1. KnowGPT: Knowledge Graph based PrompTing for Large Language Models, Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang, NeurIPS 2024.

  2. CLR-Bench: Evaluating Large Language Models in College-level Reasoning, Junnan Dong, Zijin Hong, Yuanchen Bei, Feiran Huang, Xinrun Wang, Xiao Huang, arXiv preprint arXiv:2410.17558, 2024.

Graph-based recommender systems

  1. Macro Graph Neural Networks for Online Billion-Scale Recommender Systems, Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang, TheWebConf, 2024 (ACM version).

  2. Graph Cross-Correlated Network for Recommendation, Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang, IEEE Transactions on Knowledge and Data Engineering, 2024.

  3. Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering, Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang, SIGIR, 2023 (ACM version).

LLM-based text-to-SQL

  1. Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM, Zijin Hong, Zheng Yuan, Hao Chen, Qinggang Zhang, Feiran Huang, Xiao Huang, ACL (Findings), 2024.

  2. Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL, Zijin Hong, Zheng Yuan, Qinggang Zhang, Hao Chen, Junnan Dong, Feiran Huang, Xiao Huang, arXiv preprint arXiv.2406.08426, 2024.

  3. Structure Guided Large Language Model for SQL Generation, Qinggang Zhang, Junnan Dong, Hao Chen, Wentao Li, Feiran Huang, Xiao Huang, arXiv preprint arXiv:2402.13284, 2024.

Services

  • Organization committee member: ICDE 2025 (PhD Symposium Chair)

  • PC member: NeurIPS 2021-2025, ICML 2021-2025, ICLR 2022-2024, 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: WSDM 2023, IJCAI 2023

  • Editorial board member: Computers & Education: X Reality

Awards and Patents

Media Coverage

Biography

Dr. Xiao Huang is an Assistant Professor in the Department of Computing at The Hong Kong Polytechnic University. He earned his Ph.D. in Computer Engineering from Texas A&M University in 2020, an M.S. in Electrical Engineering from the Illinois Institute of Technology in 2015, and a B.S. in Engineering from Shanghai Jiao Tong University in 2012. His research interests encompass graph representation learning, LLMs, knowledge graphs, retrieval-augmented generation, recommender systems, and text-to-SQL. His scholarly contributions are highly regarded within the academic community, amassing over 4,000 citations. Notably, he received the Best Paper Award Honorable Mention at SIGIR 2023. He has successfully led or completed seven research projects as Principal Investigator, securing total funding exceeding 5 million HKD. He serves as a PhD Symposium Chair for ICDE 2025. He is a program committee member of ICLR (2022-2024), IJCAI (2020-2024), NeurIPS (2021-2024), AAAI (2021-2023), KDD (2019-2023), TheWebConf (2022-2023), ICML (2021-2023), CIKM (2019-2022), and WSDM (2021-2023). Before his appointment at PolyU, he gained valuable experience as a research intern at Microsoft Research and Baidu USA.