Research Focus

The effective modeling of graph data is crucial for advancing AI, as it underpins systems from social networks to recommendation engines. My research portfolio addresses this need through the development of innovative graph learning algorithms and tools, which have demonstrated state-of-the-art performance in practical tasks such as classification, anomaly detection, and recommendations. A key focus has been applying graph learning to enhance the reasoning capabilities of large language models (LLMs) for applications such as question answering and SQL generation.

1. Retrieval-Augmented Generation

• More details

2. LLM-based Text-to-SQL

• Survey

• Structure-Guided LLM for Text-to-SQL Generation (Code, Slides)

• Enhancing SQL Generation with Data Expert LLM (Code)

3. Graph Learning

• Each Graph is a New Language: Graph Learning with LLMs, Huachi Zhou, Jiahe Du, Chuang Zhou, Chang Yang, Yilin Xiao, Yuxuan Xie, Xiao Huang, ACL (Findings), 2025. (Code)

• 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.

• Towards Deeper Graph Neural Networks with Differentiable Group Normalization, Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu, NeurIPS, 2020.

4. Collaborative Filtering

• Graph Cross-Correlated Network for Recommendation (Code)

• Macro GNNs for Online Billion-Scale Recommender Systems (Code)

• Adaptive Popularity Debiasing Aggregator (Code)

5. Knowledge Graphs

• Cost-efficient Knowledge-based QA with LLMs (Code)

• Modality-Aware Integration with LLMs for Knowledge-based Visual QA (Code)

• Hierarchy-Aware Multi-Hop QA over KGs (Code)

• KG Embedding Based QA (Code)

Ongoing Research Projects

1. Cross-Correlated Graph Neural Networks with Applications in Large-Scale Recommender Systems, Innovation and Technology Fund, Mar 2025 - Mar 2027, HK$1,516,999.4, PI

2. Intelligent Virtual Assistant for Operation and Maintenance based on Large Language Models, Donation from the Industry, Jul 2024 - Dec 2026, HK$660,000, PI

3. DataChat: Chatting with Database based on Knowledge-Graph-Enhanced Large Language Models, Departmental Entrepreneurship Fund, Nov 2023 - Nov 2026, HK$500,000, PI

4. Error-Aware and Contrastive Knowledge Graph Learning, Early Career Scheme (RGC), Jan 2023 - Dec 2025, HK$908,800, PI

5. Develop a Vision-Language Model-based Smart Driving Assistant for Enhancing Safety and Convenience of Motorists, Smart Traffic Fund, Mar 2025 - Feb 2027, HK$5,012,789.42, Co-I

6. Parking Garage Vacancy Prediction Services in Hong Kong: AI-enabled Solutions for Enhanced Reliability and Extensibility, Smart Traffic Fund, Mar 2025 - Aug 2026, HK$2,897,745.06, Co-I

7. Course Content Knowledge Graph Construction and Reasoning Powered by LLMs, Departmental Research, Sep 2024 - Aug 2027, HK$1,614,620, Co-I

8. Image-based Unsupervised 3D Scene Understanding and Editing, NSFC General Program, Jan 2023 - Dec 2026, CNY592,000, Co-I

9. Cognition-aware 3D Content Design for User-centered Metaverses, SD/COMP Joint Research Scheme, Sep 2022 - Aug 2025, HK$500,000, Co-I

Completed Research Projects

1. Integrating Contrastive Error Detection and Accelerated Completion for Large-Scale Knowledge Graph Refinement, Departmental General Research Fund, Jul 2021 - Jul 2023, HK$300,000, PI

2. Human-Centric Attributed Network Learning, Start-up Fund for New Recruits, Aug 2020 - Aug 2023, HK$1,000,000, PI

3. Design and formulation of behavioural user profile of teenage sports player with AI model and analysis methods from basketball training, SD/COMP Joint Research Scheme, Sep 2022 - Aug 2024, HK$500,000, co-PI

4. Development and Deployment of an AI-enabled Parking Vacancy Prediction Framework using Multi-source Data, Smart Traffic Fund, May 2022 - Jul 2023, HK$985,034, Co-I

5. Development of an Augmented Reality-Assisted Head-up Display (AR-HUD) mechanism for recommending driving strategy, Smart Traffic Fund, Jan 2023 - Dec 2024, HK$1,315,127, Co-I

Workshops

1. Large Language Models for Graph Learning, theWebConf 2024

2. International Workshop on Learning with Knowledge Graphs: Construction, Embedding, and Reasoning, WSDM 2023

3. International Workshop on Learning with Knowledge Graphs: Opportunities and Challenges with ChatGPT, ICDM 2023