The research group focuses on building intelligent systems, analyzing, and mining big data based on AI, Machine Learning, and Graph techniques. Currently, our core research areas include: Explainable Artificial Intelligence (XAI), Interpretable Learning Models, Knowledge Graph Analytics, Modern Learning Methods, and Privacy-Preserving Data Analysis.

Research Topics

  • Artificial Intelligence, XAI
  • Machine Learning
  • Big Data Analytics
  • Data Mining (KDD)
  • Soft Computing

Personnel

Members

  • Prof. Dr. Le Hoai Bac
  • Dr. Nguyen Ngoc Thao
  • Dr. Bui Tien Len
  • Dr. Le Ngoc Thanh
  • M.Sc. Pham Trong Nghia
  • M.Sc. Nguyen Ngoc Duc (Ph.D. Candidate)
  • M.Sc. Ho Thi Thanh Tuyen (Ph.D. Candidate)
  • M.Sc. Nguyen Thanh An (Ph.D. Candidate)
  • M.Sc. Duong Huu Phuc (Ph.D. Candidate)
  • M.Sc. Tuan Nguyen Hoai Duc (Ph.D. Candidate)
  • M.Sc. Phan Hien (Ph.D. Candidate)
  • M.Sc. Tran Thong (Ph.D. Candidate)
  • M.Sc. Hoang Van Tien (Ph.D. Candidate)
  • M.Sc. Vuong Trong Nhan (Ph.D. Candidate)
  • M.Sc. Le Vo Minh Thu (Ph.D. Candidate)

Affiliated Members

  • Prof. Dr. Nam Huynh – Japan
  • Prof. Dr. Duong Van Hai – Dalat University
  • Dr. Anh Nguyen – University of Liverpool, UK
  • Dr. Truong Chi Tin – Dalat University

Selected Research Projects

  1. An Integrated Approach to Explainable Machine Learning – Code: ONR award N62909-23-1-2058 (Office of Naval Research. 06/2023 – 06/2026)
  2. Several Interpretable Machine Learning Models – Code: 102.05-2023.44 (NAFOSTED. 08/2024 – 08/2027)
  3. Representation and Reasoning Methods on Multimodal Knowledge Graphs for Context Understanding and Information Retrieval – Code: 102.05-2025.75 (NAFOSTED. 12/2025 – 12/2028)
  4. Counterfactual Explanations in XAI – Code: CB2025-18-04 (VNU-HCM. 2025–2026)
  5. Novel Perturbation Methods in Privacy Preservation for Image Classification Models (University of Science. 2025–2026)
  6. Integrating Graph Attention Networks with Complex Embeddings for Relation Prediction in Knowledge Graphs (University of Science. 2024–2025)
  7. Mining Knowledge Graphs for Efficient Vision-Language Data Retrieval (University of Science. 2025–2026)
  8. Video Enhancement Using Deep Learning Methods (University of Science. 2023–2024)
  9. Developing Multi-Scale Image Super-Resolution Models Based on Deep Network Architectures (University of Science. 2025–2026)
  10. Real-World Scene Analysis Using Semantic Segmentation (University of Science. 2024–2025)
  11. Research and Development of a Printed Drug and Prescription Name Recognition System Based on Convolutional Neural Networks (VNU-HCM. 2023–2024)
  12. Meta-Learning and Personalization in Federated Learning (University of Science. 2021–2022)
  13. Subject Identification and Emotion Recognition Using Facial Features (VNU-HCM. 2021–2022) [Note: Corrected typo 2001 to 2021 based on context]
  14. Privacy Preservation in High-Utility Pattern Mining (University of Science. 2022–2023)
  15. Link Prediction on Knowledge Graphs Based on Graph Convolutional Networks Combined with Geometric Methods (University of Science. 2022–2023)
  16. Developing Association Rule Hiding Methods in Privacy-Preserving Data Mining – Code: 102.05-2018.307 (NAFOSTED. 2019–2022)

Selected Publications

  1. Hung Bui, Bac Le. "Fusing global attention and self-attention for better performance and interpretability on tabular data". Expert Syst. Appl. 299: 130220 (2026)
  2. Minh-Van Nguyen, Duy-Thinh Nguyen, Bac Le. "EGNet: explainable graph neural network with similarity explanation for medication recommendation". Appl. Intell. 55(13): 922 (2025)
  3. Dinh Dinh, Thanh-An Nguyen, Ngoc-Thao Nguyen, Nghia Le, Bac Le. "Enhancing counterfactual explanations with causal inference: integrating DirectLiNGAM and variational autoencoders for constraint-aware generation". Appl. Intell. 55(16): 1074 (2025)
  4. Hai V. Duong, Tin Truong-Chi, Tien Hoang, Bac Le. "U-HPAUSM: Mining high probability average utility sequences in uncertain quantitative sequential databases". Eng. Appl. Artif. Intell. 141: 109742 (2025)
  5. Luong Pham, Tuyen Ho Thi Thanh, Duy-Minh Nguyen-Tran, Bac Le. "Graph data augmentation using multi-label mixup". Knowl. Inf. Syst. 67(10): 8751-8766 (2025)
  6. Duy Nguyen, Ngoc-Thanh Le, Bac Le. "Explainability graph neural networks with nearest neighbor estimate interpretations". Neural Comput. Appl. 37(20): 15891-15922 (2025)
  7. Hoai-Duc Tuan-Nguyen, Bac Le. "FRIC: a framework for feature importance explanations and evaluation in span-level NLP". Neural Comput. Appl. 37(35): 28989-29020 (2025)
  8. Thanh Le, Trong-Nghia Pham. "Temporal-Aware bicomplex embeddings with implicit attention for knowledge graph link prediction". Data Min. Knowl. Discov. 39(6): 92 (2025)
  9. Ngoc-Trung Nguyen, Thuc Ngo, Nguyen Hoang, Thanh Le. "FTPComplEx: A flexible time perspective approach to temporal knowledge graph completion". Eng. Appl. Artif. Intell. 139: 109717 (2025)
  10. Hoa Dao, Nguyen Phan, Ngoc-Thanh Le, Ngoc-Trung Nguyen. "HGCT: Enhancing temporal knowledge graph reasoning through extrapolated historical fact extraction". Knowl. Based Syst. 316: 113358 (2025)
  11. Ban Tran, Thanh Le. "MESN: A multimodal knowledge graph embedding framework with expert fusion and relational attention". Knowl. Based Syst. 318: 113541 (2025)
  12. Ngoc-Trung Nguyen, Chi Tran, Ngoc-Thanh Le. "TBicomR: Event Prediction in Temporal Knowledge Graphs with Bicomplex Rotation". Knowl. Based Syst. 306: 112711 (2024)
  13. Duc Nguyen, Bac Le. "Novel stochastic algorithms for privacy-preserving utility mining". Appl. Intell. 54(24): 12725-12741 (2024)
  14. Tuyen-Thanh-Thi Ho, Bac Le. "Unified node, edge and motif learning networks for graphs". Eng. Appl. Artif. Intell. 138: 109354 (2024)
  15. Song-Nguyen Vo, Tien-Thinh Vo, Bac Le. "Interpretable extractive text summarization with meta-learning and BI-LSTM: A study of meta learning and explainability techniques". Expert Syst. Appl. 245: 123045 (2024)
  16. Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le. "Class-incremental learning with causal relational replay". Expert Syst. Appl. 250: 123901 (2024)
  17. Hai Van Duong, Tin Chi Truong, Bac Le, Philippe Fournier-Viger. "CG-FHAUI: an efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets". Knowl. Inf. Syst. 66(9): 5239-5280 (2024)
  18. Hai Van Duong, Tin Chi Truong, Bac Le, Philippe Fournier-Viger. "CG-FHAUI: an efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets". Knowl. Inf. Syst. 66(9): 5239-5280 (2024)
  19. Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger. "Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure". Knowl. Based Syst. 294: 111796 (2024)
  20. Tuyen-Thanh-Thi Ho, Tu Huynh, Hung Vu, Bac Le. "Shapley-based graph explanation in embedding space". Knowl. Based Syst. 300: 112244 (2024)
  21. Toan Doan, Bac Le. "Curriculum meta-learning for zero-shot cross-lingual transfer". Knowl. Based Syst. 301: 112238 (2024)
  22. Duc Kieu, Tung Kieu, Peng Han, Bin Yang, Christian S. Jensen, Bac Le. "TEAM: Topological Evolution-aware Framework for Traffic Forecasting". VLDB Endow. 18(2): 265-278 (2024)
  23. Thanh Le, Nam Le, Bac Le. "Knowledge graph embedding by relational rotation and complex convolution for link prediction". Expert Systems with Applications. 214: 119122 (2023)
  24. Le, Thanh, Huy Tran, and Bac Le. "Knowledge graph embedding with the special orthogonal group in quaternion space for link prediction." Knowledge-Based Systems 266 (2023): 110400
  25. Duc Nguyen, Minh-Thai Tran, Bac Le. "A new algorithm using integer programming relaxation for privacy-preserving in utility mining". Appl. Intell. 53(21): 25106-25118 (2023)
  26. Thanh Le, Ngoc Huynh, Bac Le. "Knowledge graph embedding by projection and rotation on hyperplanes for link prediction". Appl. Intell. 53(9): 10340-10364 (2023)
  27. Thong Tran, Hai V. Duong, Tin C. Truong, Bac Le. "Efficient mining of concise and informative representations of frequent high utility itemsets". Eng. Appl. Artif. Intell. 126(Part D): 107111 (2023)
  28. Tung Luu, Nam Le, Duc Le, Bac Le. "From Visual Explanations to Counterfactual Explanations with Latent Diffusion". WACV 2025: 420-429
  29. Toan Nguyen, Minh Nhat Vu, Baoru Huang, Tuan Van Vo, Vy Truong, Ngan Le, Thieu Vo, Bac Le, Anh Nguyen. "Language-Conditioned Affordance-Pose Detection in 3D Point Clouds". ICRA 2024: 3071-3078
  30. Trang T. Vo, Bac Le. "Black-Box Two-Phase Adversarial Attack: Finding Important Regions and Reducing L2-Loss". ICCCI (2) 2025: 184-199