Staff profile

ORCID profile

https://orcid.org/my-orcid?orcid=0009-0000-8369-3321

 

Zhifei is a member of the SCENE Lab under the supervision of Prof.Alexandra Cristea and is starting her PhD in 2024. She is interested in GNN, Knowledge graph, LLM, Multimodal and Recommendation System.

Research interests

• Graph Neural Networks (GNN)
• Knowledge Graph
• Large Language Models (LLMs)
• Recommender Systems
• Multimodal
• Natural Language Processing (NLP)
• Deep Learning

Conference Paper

• Toward Trustworthy LLM–GNN Fusion: A Fusion-Aware Evaluation and Reporting Framework
  
  Hu, Z., & Cristea, A. I. (in press). Toward Trustworthy LLM–GNN Fusion: A Fusion-Aware Evaluation and Reporting Framework. Presented at CTB@ICML 2026: Combining Theory and Benchmarks workshop at ICML 2026 Forty-Third International Conference on Machine Learning, Seoul, South Korea.
• Integrating GNNs and Knowledge Graph Patches in Recommendations in MOOCs
  
  Hu, Z., Cristea, A. I., & Xia, F. (2025). Integrating GNNs and Knowledge Graph Patches in Recommendations in MOOCs. In Artificial Intelligence in Education (pp. 162-176). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-98420-4_12

Journal Article

• Towards fair evaluation of digital skills training on career adaptability and outcomes
  
  Hu, Z., Cristea, A. I., & Black, S. (2026). Towards fair evaluation of digital skills training on career adaptability and outcomes. Data Mining and Knowledge Discovery, 40(4), Article 54. https://doi.org/10.1007/s10618-026-01223-w

Presentation

• Graph-of-Thought Assessment: LLM-Extracted Concept Graphs with GNN-Based Scoring
  
  Hu, Z., & Cristea, A. I. (2026, June 3 – 2026, June 5). Graph-of-Thought Assessment: LLM-Extracted Concept Graphs with GNN-Based Scoring [Poster]. Presented at ITS 2026: International Conference on Intelligent Tutoring Systems, Pafos, Cyprus. Springer.