Vo Nguyen Le Duy

October 2025: My students, Khoa (B4) and Nam (B3), have had their paper on FW-GAN: Frequency-Driven Handwriting Synthesis with Wave-Modulated MLP Generator accepted for publication in Expert Systems with Applications.

September 2025: My Master's students, Tung and Phuc, have had their paper on Towards Explainable Trajectory Classification: A Segment-Based Perturbation Approach accepted for publication in Neurocomputing.

September 2025: My students (B4), Tam and My, have had their paper on Post-Transfer Learning Statistical Inference in High-Dimensional Regression accepted for publication in Statistics and Computing.

July 2025: My students (B2), Phu and Loc, have had their paper on Statistical Inference for Clustering-based Anomaly Detection accepted to Stat journal.

June 2025: My students (B2), Phong and Luat, have had their paper on Controllable RANSAC-based Anomaly Detection via Hypothesis Testing accepted to Stat journal.

January 2025: My students (B2), Loi and Loc, have had their paper on Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation accepted to AISTATS 2025.

Publications

Journal Publications

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 2024 = 7.5), to appear.
Towards Explainable Trajectory Classification: A Segment-Based Perturbation Approach Paper Code
L.X. Tung, B.D. Phuc, V.N.L. Duy
Neurocomputing (IF in 2024 = 6.5), 2025.
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 2024 = 1.6), 2025.
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, 2025. Paper Code
Statistical Inference for Clustering-based Anomaly Detection Paper Code
N.T.M. Phu, D.T. Loc, V.N.L. Duy
Stat, 2025.
Controllable RANSAC-based Anomaly Detection via Hypothesis Testing Paper Code
L.H. Phong, H.N. Luat, V.N.L. Duy
Stat, 2025.
Selective Inference for Changepoint Detection by Recurrent Neural Network Paper Code
T. Shiraishi, D. Miwa, V.N.L. Duy, I. Takeuchi
Neural Computation, 2024.
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.
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.
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.
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.
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.
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

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).
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).
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).
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).
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).
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.
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).
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).
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
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).

Preprints

Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation
T.T. Kiet, N.T. Loi, V.N.L. Duy
ArXiv, 2025 Paper Code
WriteViT: Handwritten Text Generation with Vision Transformer Paper Code
D.H. Nam, H.T.D. Khoa, V.N.L. Duy
ArXiv, 2025
Multi-level Supervised Contrastive Learning Paper
N. Ghanooni, B. Pajoum, H. Rawal, S. Fellenz, V.N.L. Duy, M. Kloft
ArXiv, 2025
Statistical Inference for Sequential Feature Selection after Domain Adaptation Paper Code
D.T. Loc, N.T. Loi, V.N.L. Duy
ArXiv, 2025
Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Paper
Q.H. Trung, N.V.H. Phuc, L.T. Hoang, Q.H. Hieu, V.N.L. Duy
ArXiv, 2024
Statistical Test for Generated Hypotheses by Diffusion Model Paper Code
T. Katsuoka, T. Shiraishi, D. Miwa, V.N.L. Duy, I. Takeuchi
ArXiv, 2024
Statistical Test for Anomaly Detections by Variational Auto-Encoders Paper Code
D. Miwa, T. Shiraishi, V.N.L. Duy, T. Katsuoka, I. Takeuchi
ArXiv, 2024
Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference Paper
R. Sugiyama, H. Toda, V.N.L. Duy, Y. Inatsu, I. Takeuchi
ArXiv, 2021

Biography

Education

Job Experience

Sep 2023 - present, Lecturer, University of Information Technology, Vietnam National University - HCMC, Vietnam.
Jan 2024 - present, Visiting Scientist, RIKEN, Japan.
Sep 2024, Visiting Scholar, Machine Learning Group, University of Kaiserslautern-Landau (RPTU), Germany.
Jan 2023 - Dec 2023, Postdoctoral Researcher, RIKEN, Japan.
Apr 2023 - Dec 2023, Visiting Researcher, Nagoya University, Japan.
June 2023, Exchange Faculty, Computational Learning Lab, National Taiwan University, Taiwan.
Apr 2020 - Dec 2022, Junior Research Associate, RIKEN, Japan.

Others

Research Grants

Professional Activities

Reviewer, Advances in Neural Information Processing Systems (NeurIPS 2023, 2024, 2025)
Reviewer, International Conference on Machine Learning (ICML 2024, 2025)
Reviewer, International Conference on Learning Representations (ICLR 2025, 2026)
Reviewer, International Conference on Artificial Intelligence and Statistics (AISTATS 2024, 2026)
Reviewer, AAAI Conference on Artificial Intelligence (AAAI 2026)
Reviewer, Asian Conference on Machine Learning (ACML 2024, 2025)
Reviewer, Transactions on Machine Learning Research (TMLR 2024, 2025)
Reviewer, Statistics and Computing (2023, 2025)
Reviewer, Journal of Statistical Computation and Simulation (JSCS 2023)
Reviewer, Stat (2023)

Vo Nguyen Le Duy

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

News

Publications

Journal Publications

Conference Publications

Preprints

Biography

Education

Job Experience

Others

Research Grants

Professional Activities