Haoyu Huang

I am a Ph.D. student of HKUST at KnowComp, advised by Prof. Yangqiu Song.

Before that, I got my master degree from CUHK, advised by Prof. James Cheng. I also got my B.E. degree from BJTU, advised by Prof. Huaiyu Wan. I also worked as a Research Assistant in the Center of Machine Learning Research of PKU, advised by Prof. Wentao Zhang.

My research interests include: Large Language Models for Knowledge Graphs and Knowledge Graphs for Large Language Models.

Open-Source Projects

• 👁 Project Logo
  HiRAG is an open-source project that introduces unsupervised hierarchical KG indexing and a novel bridging mechanism for effective knowledge integration, significantly advancing the state-of-the-art in RAG systems.
  👁 DeepWiki
  👁 GitHub Stars
  👁 GitHub Forks
  

• 👁 Project Logo
  AutoSchemaKG is a novel framework for automatic knowledge graph construction that combines schema generation via conceptualization.
  👁 DeepWiki
  👁 GitHub Stars
  👁 GitHub Forks
  

Preprints and Publications

• Towards Neural Graph Data Management

  Yufei Li*, Yisen Gao*, Jiaxin Bai, Jiaxuan Xiong, , Zhongwei Xie, Hong Ting Tsang, Yangqiu Song#

  In Submission
  [paper] [code]

• NGDB-Zoo: Towards Efficient and Scalable Neural Graph Databases Training

  Zhongwei Xie, Jiaxin Bai, Shujie Liu, , Yufei Li, Yisen Gao, Hong Ting Tsang, Yangqiu Song#

  In Submission
  [paper]

• AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction

  Hong Ting Tsang, Jiaxin Bai, , Qiao Xiao, Tianshi Zheng, Baixuan Xu, Shujie Liu, Yangqiu Song#

  In Submission
  [paper] [code] 👁 GitHub Stars
  

• AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM

  , Hong Ting Tsang, Jiaxin Bai, Xi Peng, Gong Zhang, Yangqiu Song#

  In International Conference on Learning Representations (ICLR), 2026
  [paper] [code] 👁 GitHub Stars
  

• AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora

  Jiaxin Bai*, Wei Fan*, Qi Hu*, Qing Zong, Chunyang Li, Hong Ting Tsang, Hongyu Luo, Yauwai Yim, , Xiao Zhou, .., Renhai Chen, Yangqiu Song#

  In Submission
  [paper] [code] 👁 GitHub Stars
  

• Retrieval-Augmented Generation with Hierarchical Knowledge

  , Yongfeng Huang*, Junjie Yang, Zhenyu Pan, Yongqiang Chen, Kaili Ma, Hongzhi Chen, James Cheng#

  In Empirical Methods in Natural Language Processing (EMNLP), 2025, Findings
  [paper] [code] 👁 GitHub Stars
  

• Can LLMs be Good Graph Judge for Knowledge Graph Construction?

  , Chong Chen, Zeang Sheng, Yang Li, Wentao Zhang#

  In Empirical Methods in Natural Language Processing (EMNLP), 2025, Main Conference
  [paper] [code] 👁 GitHub Stars
  

• Next-POI Recommendation via Spatial-Temporal Knowledge Graph Contrastive Learning and Trajectory Prompt

  Wei Chen*, *, Tianyi Wang, Zhiyu Zhang, Shengnan Guo, Youfang Lin, Huaiyu Wan#

  In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
  [paper] [code]

• Building and Exploiting Spatial-Temporal Knowledge Graph for Next POI Recommendation

  Wei Chen, Huaiyu Wan#, Shengnan Guo, , Shaojie Zheng, Jiamu Li, Shuohao Lin, Youfang Lin

  In Knowledge-Based Systems (KBS), 2022
  [paper] [code]

Education

• Ph.D. in CSE at HKUST, Hong Kong SAR, China 2025-2029(expected)

• M.Sc. in CSE at CUHK, Hong Kong SAR, China 2024-2025

• B.E. in CS at BJTU, Beijing, China 2019-2023

Selected Awards

• 🏆 Huawei Spark Award 2024

  🏆 Second Prize of Huawei Cup CPMCM (National) 2024

Academic Service

• Conference Reviewer: ARR Feb 2025, ARR May 2025, ICML 2026.

  Journal Reviewer: IEEE TKDE.

  Conference Volunteer: EMNLP 2025.

Teaching Assistant

• 2026 Spring:

  Natural Language Processing. CSIT5520

  Big Data Mining and Management/Advanced Data Miningfor Risk Management and Business Intelligence. COMP4332/RMBI4310