About

I am currently pursuing a Master of Science in Applied Mathematics at the University of Science, Vietnam National University, HCMC under the supervison of Dr. Vo Si Trong Long.

Previously, I completed a Master’s Degree in Computer Science at the same institution. I was privileged to work under the guidance of Prof. PhD. Le Hoai Bac on the topic of Temporal Knowledge Graph Reasoning Based on Reinforcement Learning.

Prior to my graduate studies, I earned a Bachelor’s Degree in Computer Science, where I conducted research on Knowledge Graph Completion Based on Convolutional Neural Networks under the supervision of Dr. Le Ngoc Thanh.

My primary research focus is on graph mining, particularly in the area of knowledge graphs, including challenges related to completion and reasoning. In addition to this, I possess a deep interest in theoretical computer science—covering areas such as graph theory and its applications—as well as in mathematics, where my passions lie in mathematical programming, numerical methods, and topics related to probability.

For more contact information:

• Curriculum Vitae (English)
• Dblp;
• Google Scholar;
• OpenReview;
• Github lnhutnam;
• Google gmail: nam [dot] lnhut [at] gmail [dot] com
• Social networks: Mastodon, Twitter

Some internal-links:

1. Miscellanea: External links, Resources.
2. Mathematics: Mathemtics resources.

Journal Publications

[1] Le, Thanh, Nam Le, and Bac Le. “Knowledge graph embedding by relational rotation and complex convolution for link prediction.” Expert Systems with Applications 214 (2023): 119122. (ISI, Q1, IF: 8.6 2023)

International Conference Publications

[1] Thanh Le, Nam Le, and Bac Le. “Embedding Model with Attention over Convolution Kernels and Dynamic Mapping Matrix for Link Prediction.” In Asian Conference on Intelligent Information and Database Systems, pp. 234-246. Springer, Cham, 2022. (Rank B, CORERANK 2021)

[2] Tung Luu*, Nam Le, Duc Le, and Bac Le. (2025, February). From Visual Explanations to Counterfactual Explanations with Latent Diffusion. Proceedings of the Winter Conference on Applications of Computer Vision (WACV), 420–429. (Rank A, CORE 2023, * means first author)

[3] Nam Le, Thanh Le, and Bac Le (2025). Improving Temporal Knowledge Graph Completion via Tensor Decomposition with Relation-Time Context and Multi-Time Perspective. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3, ISBN 978-989-758-737-5, ISSN 2184-433X, pages 326-333. (Rank B, CORE 2023) [Slide]

[4] Nam Le, Thanh Le, and Bac Le (2025). Improving Temporal Knowledge Graph Forecasting via Multi-Rewards Mechanism and Confidence-Guided Tensor Decomposition Reinforcement Learning. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1, ISBN 978-989-758-737-5, ISSN 2184-433X, pages 68-79. (Rank B, CORE 2023) [Slide]

Domestic Conference Publications

[1] Nam Le, Thanh Le, and Bac Le (2025). Improving Temporal Knowledge Graph Forecasting via Multi-reward mechanism and Confidence-Augmented Reinforcement Learning. The 14th Scientific Conference (VNUHCM-US Conf 2024)