Linhao Luo
Scholar

Linhao Luo

Google Scholar ID: RO46HpcAAAAJ
Monash University
Large Language ModelKnowledge GraphGraph Data MiningMachine LearningDeep Learning
Citations & Impact
All-time
Citations
2,450
 
H-index
18
 
i10-index
22
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Received the Monash FIT 2025 Dean’s Award for Excellence by A Graduate Research Student; multiple papers accepted by top conferences and journals such as NeurIPS 2025, ICML 2025, Nature Communications; released the first GFM-RAG pipeline; won the Third Place Award of ICDM 2023 TuGraph Competition; received the SIGIR 2023 Student Travel Award.
Research Experience
  • Currently a Research Fellow at Monash University.
Education
  • PhD in Computer Science from Monash University, advised by Prof. Shirui Pan, Prof. Reza Haffari, and Prof. Dinh Phung, with previous supervision from A/Prof. Yuan-Fang Li. Bachelor's degree in Computer Science from Harbin Institute of Technology, Shenzhen. Interned at Tencent and Alibaba.
Background
  • Main research interests are in the areas of artificial intelligence and data mining, particularly knowledge graphs, large language models, and graph neural networks.