• EMNLP 2025 Tutorial, Continual Learning for Large Language Models, 2025.

• 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.

• Lecturer, FIT5217 - Natural language processing, 2026.
• 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.

Conference Organization

• Special Session Chair: Integrating Large Language Models and Knowledge Graphs, IJCNN 2026.

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

• ICLR, PC Member (2024, 2025, 2026)
• ICML, PC Member (2025, 2026)
• NeurIPS, PC Member (2023, 2024, 2025)
• AAAI, PC Member (2022, 2024, 2025, 2026)
• IJCAI, PC Member (2024, 2025, 2026)
• KDD, PC Member (2023, 2024, 2025, 2026)
• TheWebConf, PC Member (2023, 2024, 2026)
• ICDE, PC Member (2021, 2023)
• CIKM, PC Member (2021, 2022, 2024, 2025)

• 2025 Mollie Holman Award, Monash’s highest academic honor for outstanding PhD researchers. (Mar., 2026)
• 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)

• [Award]: I am honored to receive the 2025 Mollie Holman Award, Monash’s highest academic honor for outstanding PhD researchers. (Mar., 2026)
• [Progress]: I have officially been awarded the degree of Doctor of Philosophy! 🎉 (Jan., 2025)
• [Paper]: 3 papers (2 GraphRAG and 1 Multi-agent) have been accepted by ICLR 2026! (Jan., 2026)

Full Publications Lists

• G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge
  Linhao Luo, Zicheng Zhao, Junnan Liu, Zhangchi Qiu, Junnan Dong, Serge Panev, Chen Gong, Thuy-Trang Vu, Gholamreza Haffari, Dinh Phung, Alan Wee-Chung Liew, Shirui Pan
  ICLR 2026 (Core A*).
  [Code]

• 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]

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 obtained my PhD degree 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.Luo1@monash.edu