Vo Nguyen Le Duy

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Vo Nguyen Le Duy (Ph.D.)   [ GitHub | Google Scholar | LinkedIn ]

Lecturer (a.k.a. Assistant Professor)
University of Information Technology, Vietnam National University - HCM

Visiting Scientist
RIKEN Center for Advanced Intelligence Project

University Ambassador / Certified Instructor (AI for Anomaly Detection)
NVIDIA

Email: vo.nl.duy[at]gmail.com   or   duyvnl[at]uit.edu.vn

Research interests: statistical machine learning, hypothesis testing, data mining.

I'm looking for motivated students interested in conducting research on machine learning and data mining. If you're interested, please reach out via email.

News

Publications

Journal Publications

  1. Post-Anomaly Detection Inference for Deep SVDD   Paper  Code
    C.L.C. Thanh, D.Q. Vinh, V.N.L. Duy
    Transactions on Machine Learning Research (TMLR), to appear.

  2. Statistical Test for Diffusion-Based Anomaly Localization via Selective Inference   Paper  Code
    T. Katsuoka, T. Shiraishi, D. Miwa, V.N.L. Duy I. Takeuchi
    Transactions on Machine Learning Research (TMLR), to appear.

  3. Post-Pretrained Lasso Statistical Inference   Paper  Code
    C.H. My, N.V.K. Tam, V.N.L. Duy
    Statistics and Computing (IF in 2025 = 1.8), 2026.

  4. WriteViT: Handwritten Text Generation with Vision Transformer   Paper  Code
    D.H. Nam, H.T.D. Khoa, V.N.L. Duy
    Expert Systems with Applications (IF in 2025 = 9.4), 2026.

  5. Statistical Inference for Sequential Feature Selection after Domain Adaptation   Paper  Code
    D.T. Loc, N.T. Loi, V.N.L. Duy
    Statistics & Probability Letters (IF in 2025 = 0.7), 2026.

  6. Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation
    T.T. Kiet, N.T. Loi, V.N.L. Duy
    Statistics and Computing (IF in 2025 = 1.8), 2026.   Paper  Code

  7. Statistical Test for Attention in Transformers for Images and Time Series   Paper  Code
    T. Shiraishi, D. Miwa, T. Katsuoka, V.N.L. Duy, S. Nishino, K. Taji, I. Takeuchi
    Journal of Machine Learning Research (JMLR) (IF in 2025 = 6.8), 2026.

  8. FW-GAN: Frequency-Driven Handwriting Synthesis with Wave-Modulated MLP Generator   Paper  Code
    H.T.D. Khoa, D.H. Nam, V.N.L. Duy
    Expert Systems with Applications (IF in 2025 = 9.4), 2025.

  9. Towards Explainable Trajectory Classification: A Segment-Based Perturbation Approach   Paper  Code
    L.X. Tung, B.D. Phuc, V.N.L. Duy
    Neurocomputing (IF in 2025 = 6.7), 2025.

  10. Post-Transfer Learning Statistical Inference in High-Dimensional Regression   Paper  Code
    N.V.K. Tam, C.H. My, V.N.L. Duy
    Statistics and Computing (IF in 2025 = 1.8), 2025.

  11. Statistical Inference for the Dynamic Time Warping Distance, with Application to Abnormal Time-Series Detection
    V.N.L. Duy, I. Takeuchi
    Annals of the Institute of Statistical Mathematics (IF in 2025 = 1.4), 2025.   Paper  Code

  12. Statistical Inference for Clustering-based Anomaly Detection   Paper  Code
    N.T.M. Phu, D.T. Loc, V.N.L. Duy
    Stat (IF in 2025 = 1.1), 2025.

  13. Controllable RANSAC-based Anomaly Detection via Hypothesis Testing   Paper  Code
    L.H. Phong, H.N. Luat, V.N.L. Duy
    Stat (IF in 2025 = 1.1), 2025.

  14. Selective Inference for Changepoint Detection by Recurrent Neural Network   Paper  Code
    T. Shiraishi, D. Miwa, V.N.L. Duy, I. Takeuchi
    Neural Computation, 2024.

  15. Multi-agent Statistical Discriminative Sub-trajectory Mining and an Application to NBA Basketball   Paper  Code
    R. Bunker, V.N.L. Duy, Y. Tabei, I. Takeuchi, K. Fujii
    Journal of Quantitative Analysis in Sports, 2024.

  16. Bounded P-values in Parametric Programming-based Selective Inference   Paper  Code
    T. Shiraishi, D. Miwa, V.N.L. Duy, I. Takeuchi
    Japanese Journal of Statistics and Data Science, 2024.

  17. More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming   Paper  Code
    V.N.L. Duy, I. Takeuchi
    Journal of Machine Learning Research (JMLR), 2022.

  18. Exact Statistical Inference for the Wasserstein Distance by Selective Inference   Paper  Code
    V.N.L. Duy, I. Takeuchi
    Annals of the Institute of Statistical Mathematics (AISM), 2022.

  19. Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation   Paper 
    T. Tsukurimichi, Y. Inatsu, V.N.L. Duy, I. Takeuchi
    Annals of the Institute of Statistical Mathematics (AISM), 2022.

  20. Stat-DSM: Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction   Paper  Code
    V.N.L. Duy, T. Sakuma, T. Ishiyama, H. Toda, K. Arai, M. Karasuyama, Y. Okubo, M. Sunaga, H. Hanada, Y. Tabei, I. Takeuchi
    IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE).

Conference Publications

  1. Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation   Paper  Code
    N.T. Loi, D.T. Loc, V.N.L. Duy
    International Conference on Artificial Intelligence and Statistics (AISTATS 2025).

  2. CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference   Paper 
    V.N.L. Duy, H.-T. Lin, I. Takeuchi
    International Conference on Artificial Intelligence and Statistics (AISTATS 2024).

  3. Statistical Test for Attention Map in Vision Transformer   Paper  Code
    T. Shiraishi, D. Miwa, T. Katsuoka, V.N.L. Duy, K. Taji, I. Takeuchi
    International Conference on Machine Learning (ICML 2024).

  4. Valid P-Value for Deep Learning-Driven Salient Region   Paper  Code
    D. Miwa, V.N.L. Duy (co-first), I. Takeuchi
    International Conference on Learning Representations (ICLR 2023).

  5. Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference   Paper  Code
    V.N.L. Duy, S. Iwazaki, I. Takeuchi
    Neural Information Processing Systems (NeurIPS 2022).

  6. Fast and More Powerful Selective Inference for Sparse High-order Interaction Model   Paper 
    D. Das, V.N.L. Duy, H. Hanada, K. Tsuda, I. Takeuchi
    AAAI Conference on Artificial Intelligence (AAAI 2022). Selected for Oral presentation.

  7. More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method   Paper  Code
    K. Sugiyama, V.N.L. Duy (co-first), I. Takeuchi
    International Conference on Machine Learning (ICML 2021).

  8. Parametric Programming Approach for More Powerful and General Lasso Selective Inference   Paper  Code
    V.N.L. Duy, I. Takeuchi
    International Conference on Artificial Intelligence and Statistics (AISTATS 2021).

  9. Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
    V.N.L. Duy, H. Toda (co-first), R. Sugiyama, I. Takeuchi
    Neural Information Processing Systems (NeurIPS 2020). Accepted as Spotlight, top 4.0% = (105+280)/9454.
    Paper  Code  Spotlight Talk  Poster 

  10. Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction   Paper  Code
    V.N.L. Duy, T. Sakuma, T. Ishiyama, H. Toda, K. Arai, M. Karasuyama, Y. Okubo, M. Sunaga, H. Hanada, Y. Tabei, I. Takeuchi
    International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2019).

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