Van Thuy Hoang

Researcher in Artificial Intelligence

I recently earned my Ph.D. degree in Artificial Intelligence from the Catholic University of Korea in early 2026, under the supervision of Prof. O-Joun Lee.

I am open to research collaboration and academic opportunities. Please feel free to Email me.

Research Interests

• My research targets AI for Science & Bioinformatics (drug discovery), analyzing and interpreting biomedical data (molecules).
• I focus on the information-theoretic foundations of machine learning: Invariant and Multi-view Representation Learning, Causal Inference, Information Bottleneck, Explainable AI, Pattern Recognition, and Fairness Learning.
• I am interested in Graph Neural Networks, Transformers, Knowledge Graphs, and LLMs for knowledge discovery.

Selected Publications (Top-tier conferences/journals)

• Van Thuy Hoang, O-Joun Lee.
  Pre-training Graph Neural Networks on Molecules by using Subgraph-conditioned Graph Information Bottleneck.
  In AAAI Conference on Artificial Intelligence 2025 (AAAI 2025). 📄PDF Ranking A*
• Van Thuy Hoang, Hyeon-Ju Jeon, O-Joun Lee.
  Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-attention.
  In IEEE Transactions on Network Science and Engineering 2025 (IEEE TNSE 2025). 📄PDF Top 1.8% JCR
• Van Thuy Hoang, O-Joun Lee.
  Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity.
  In AAAI Conference on Artificial Intelligence 2024 (AAAI 2024). 📄PDF Ranking A*

Research Philosophy

I view Wisdom —not simply Knowledge— as relational, arising from inter-dependent relationships rather than static/isolated entities. Grounded in fundamental theories from both Buddhist insight and Christian thought, all existence flows from and returns to a unifying source. These foundations align deeply with my theoretical foundations: Information Bottleneck and Causal Inference.

There is no central self —only the Original Mind, the Buddha-nature itself or Ground of Soul— emerging through a series of interdependent arisings. The nature of reality thus unfolds as an invariant causal network.

Academic Services

• Conference Reviewer: AAAI-26, ICLR-26
• Journal Reviewer: npj Computational Materials, Pattern Recognition, Journal of Big Data, Neurocomputing, Knowledge-Based Systems, Expert Systems with Applications, Information Sciences