Biography

Hello! I am Linhao Luo (罗林浩), a PhD student of computer science at Monash University advised by Prof. Shirui Pan, A/Prof. Yuan-Fang Li., and Prof. Reza Haffari.
My research interests mainly focus on the areas of artificial intelligence and data mining, especially for the knowledge graph, large language model, and graph neural network.
Previously, I received my bachelor degree of 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

• [Paper]: Our paper “Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning“ has been accepted by ICLR 2024. (Jan., 2024)
• [Award]: I am honor to receive the Third Place Award of ICDM 2023 TuGraph Competition. (Dec., 2023)
• [Service]: I will serve as a PC member of AAAI 2024. (Jul., 2023)
• [Paper]: Our paper “Unifying Large Language Models and Knowledge Graphs: A Roadmap.“ is now public. (Jun. 2023)
• [Paper]: Our paper “Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach” has been accepted by ECML PKDD 2023. (Jun. 2023)
• [Award]: I am honor to receive the SIGIR 2023 Student Travel Award. (May., 2023)
• [Paper]: Our paper “GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs“ has been accepted by TKDE. (Apr., 2023)
• [Service]: I will serve as a PC member of IEEE BigData 2023. (Apr., 2023)
• [Paper]: Two papers have been accepted by SIGIR 2023. (Apr., 2023)
• [Service]: I will serve as a TPC member of IJCNN 2023. (Feb., 2023)
• [Paper]: Our paper “MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation“ has been accepted by ICDE 2023, Industry and Applications Track. (Feb., 2023)
• [Progress]: I have passed my MPhil confirmation milestone and will transfer to the PhD candidate. (Nov., 2022)
• [Paper]: Our paper “Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs“ has been accepted by WSDM 2023. (Oct., 2022)

Selected Publications

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

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

• 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
  Arxiv 2023.
  [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]

• Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach.
  Zicheng Zhao, Linhao Luo (Equal contribution), Shirui Pan,Quoc Viet Hung Nguyen, Chen Gong.
  ECML PKDD 2023 (CCF-B, 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]

• RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on.
  Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang and Yuan He.
  IJCAI 2022 (CCF-A, Core A*).
  [Code&data]

• Why do Semantically Unrelated Categories Appear in the Same Session? A Demand-aware Method.
  Liqi Yang, Linhao Luo, Xiaofeng Zhang, Fengxin Li, Xinni Zhang, Zelin Jiang and Shuai Tang.
  Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, short paper (SIGIR 2022, CCF-A, Core A*).

• 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]

• A Motif-based Graph Neural Network to Reciprocal Recommendation for Online Dating.
  Linhao Luo, Kai Liu, Dan Peng, Yaolin Ying, and Xiaofeng Zhang.
  27th International Conference on Neural Information Processing (ICONIP 2020, CCF-C)
  [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)

Awards

• 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)