Biography

Hello! I am Linhao Luo (罗林浩), a Research Fellow at Monash University. My research interests mainly focus on the areas of artificial intelligence and data mining, especially for the knowledge graphs, large language models, and graph neural networks.
Previously, I conducted my PhD study in computer science at Monash University advised by Prof. Shirui Pan, Prof. Reza Haffari, and Prof. Dinh Phung, with previous supervision from A/Prof. Yuan-Fang Li. I received my bachelor’s degree in computer science from Harbin Institute of Technology, Shenzhen. I have also worked at Tencent and Alibaba as an intern.

Contact: Linhao.Luo@monash.edu

News

• [Award]: I am honor to receive Monash FIT 2025 Dean’s Award for Excellence by A Graduate Research Student. (Oct., 2025)
• [Paper]: Our latest work on Graph Foundation Model for RAG: GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation has been accepted by NeurIPS 2025. (Sep., 2025)
• [Progress]: I am happy to start my new position as a Research Fellow at Monash University 🎉 (Sep., 2025)
• [Paper]: Our paper about foundation model on Large lithium-ion battery model for secure shared electric bike battery in smart cities has been accepted by Nature Communications.
• [Paper]: Our latest work on KG + LLM reasoning: Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models has been accepted by ICML 2025. (May, 2025)
• [Paper]: We are happy to release the first graph foundation model-powered RAG pipeline (GFM-RAG) that combines the power of GNNs with LLMs to enhance reasoning. Code (Feb., 2025)
• [Progress]: I have passed my PhD final review! 🎉 (Feb., 2025)
• [Paper]: Our tutorial on Integrating Large Language Models and Knowledge Graphs for Next-level AGI and one paper of GraphRAG for explainable recommendation has been accepted by WWW 2025. See you in Sydney! (Jan., 2025)

Selected Publications

Full Publications Lists

• GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
  Linhao Luo, Zicheng Zhao, Gholamreza Haffari, Dinh Phung, Chen Gong, Shirui Pan
  NeurIPS 2025 (CCF-A, Core A*).
  [Code]

• Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
  Linhao Luo, Zicheng Zhao, Gholamreza Haffari, Yuan-Fang Li, Chen Gong, Shirui Pan
  ICML 2025 (CCF-A, Core A*).
  [Code]

• Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning
  Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin
  NeurIPS 2024 (CCF-A, Core A*).

• Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs
  Nguyen Minh-Vuong, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari
  ACL 2024 (CCF-A, Core A*).

• Systematic Assessment of Factual Knowledge in Large Language Models
  Linhao Luo, Thuy-Trang Vu, Dinh Phung, Gholamreza Haffari
  EMNLP 2023 (CCF-B, Core A*).
  [Code&data]

• Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
  Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan
  ICLR 2024 (Core A*).
  [Code&data] [Slides] [Poster]

• ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning
  Linhao Luo, Jiaxin Ju, Bo Xiong, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan
  PAKDD 2025.
  [Code&data]

• Unifying Large Language Models and Knowledge Graphs: A Roadmap.
  Shirui Pan, Linhao Luo (Equal contribution), Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu.
  IEEE Transactions on Knowledge and Data Engineering, (TKDE, CCF-A, Core A).
  [Code&data]

• GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs.
  Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, and Wenjie Zhang.
  IEEE Transactions on Knowledge and Data Engineering, (TKDE, CCF-A, Core A).
  [Code&data]

• Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion.
  Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, and Shirui Pan.
  SIGIR 2023 (CCF-A, Core A*).
  [Code&data]

• MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation.
  Linhao Luo, Yumeng Li, Buyu Gao, Shuai Tang, Sinan Wang, Jiancheng Li, Tanchao Zhu, Jiancai Liu, Zhao Li, and Shirui Pan.
  ICDE 2023, Industry and Applications Track (CCF-A, Core A*).
  [Code&data] [Slides]

• Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  Linhao Luo, Reza Haffari, Shirui Pan.
  WSDM 2023 (CCF-B, Core A*).
  [Code&data] [Slides] [Poster]

• Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model.
  Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang.
  In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM 2021, CCF-B, Core A), pp. 1170-1180.
  [Code&data]

Services

Journal Reviewer

• IEEE Transactions on Cybernetics (IF: 19.11)
• IEEE Transactions on Knowledge and Data Engineering (TKDE, IF: 9.235)
• Information Sciences (IF: 8.233)
• Information Processing & Management (IF: 7.466)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF: 14.255)
• The International Journal on Very Large Data Bases (VLDB, IF: 4.243)
• Knowledge and Information Systems (KAIS, IF: 2.531)
• The Journal of Supercomputing (IF: 2.557)
• ACM Transactions on Knowledge Discovery from Data (IF: 4.711)

Conference Reviewer

• PC Member, The 38th AAAI Conference on Artificial Intelligence (AAAI 2024)
• PC Member, The 17th China Conference on Knowledge Graph and Semantic Computing (CCKS 2023)
• PC Member, 2023 IEEE International Conference on Big Data (IEEE BigData 2023) (IEEE BigData 2023)
• The 29th SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD 2023)
• PC Member, The 2023 International Joint Conference on Neural Networks (IJCNN 2023)
• The ACM Web Conference (WWW 2023)
• Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)
• 31st ACM International Conference on Information and Knowledge Management (CIKM 2022)
• The 28th SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD 2022)
• The 37th IEEE International Conference on Data Engineering (ICDE 2021)
• 30st ACM International Conference on Information and Knowledge Management (CIKM 2021)

Teaching

• Teaching Assistant, FIT5217 - Natural language processing, 2025.
• Teaching Assistant, FIT5212 - Data analysis for semi-structured data, 2025.
• Teaching Assistant, FIT9136 - Algorithms and programming foundations in Python, 2024.

Talks

• KDD 2025 Tutorial, Unifying Large Language Models and Knowledge Graphs for Medicine and Healthcare, 2025.

• The WebConf 2025 Tutorial, Integrating Large Language Models and Knowledge Graphs for Next-level AGI, 2025.
  [Slides].

• AJCAI Tutorial, Continual Learning for Large Language Models., 2024.

Awards

• Monash FIT 2025 Dean’s Award for Excellence by A Graduate Research Student. (Oct., 2025)
• ICDM 2023 TuGraph Competition: Pretrained Model-based Community Detection and Fraudulent Group Mining, Third Place Award (Dec., 2023)
• SIGIR 2023 Student Travel Award. (May., 2023)