Vo Nguyen Le Duy

47 papers A* 6A 3Misc 1Journal 36Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FW-GAN: Frequency-driven handwriting synthesis with wave-modulated MLP generator. Expert Syst. Appl. Huynh Tong Dang Khoa, Dang Hoai Nam, Vo Nguyen Le Duy
2025	J	`jnl`	FW-GAN: Frequency-Driven Handwriting Synthesis with Wave-Modulated MLP Generator. CoRR Huynh Tong Dang Khoa, Dang Hoai Nam, Vo Nguyen Le Duy
2025	J	`jnl`	HTR-ConvText: Leveraging Convolution and Textual Information for Handwritten Text Recognition. CoRR Pham Thach Thanh Truc, Dang Hoai Nam, Huynh Tong Dang Khoa, Vo Nguyen Le Duy
2025	J	`jnl`	Multi-level Supervised Contrastive Learning. CoRR Naghmeh Ghanooni, Barbod Pajoum, Harshit Rawal, Sophie Fellenz, Vo Nguyen Le Duy, Marius Kloft
2025	J	`jnl`	Post-Transfer Learning Statistical Inference in High-Dimensional Regression. CoRR Nguyen Vu Khai Tam, Cao Huyen My, Vo Nguyen Le Duy
2025	J	`jnl`	Post-transfer learning statistical inference in high-dimensional regression. Stat. Comput. Nguyen Vu Khai Tam, Cao Huyen My, Vo Nguyen Le Duy
2025	J	`jnl`	Statistical Inference for Autoencoder-based Anomaly Detection after Representation Learning-based Domain Adaptation. CoRR Tran Tuan Kiet, Nguyen Thang Loi, Vo Nguyen Le Duy
2025	J	`jnl`	Statistical Inference for Clustering-based Anomaly Detection. CoRR Nguyen Thi Minh Phu, Duong Tan Loc, Vo Nguyen Le Duy
2025	A	`conf`	Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation. AISTATS Nguyen Thang Loi, Duong Tan Loc, Vo Nguyen Le Duy
2025	J	`jnl`	Statistical Inference for Sequential Feature Selection after Domain Adaptation. CoRR Duong Tan Loc, Nguyen Thang Loi, Vo Nguyen Le Duy
2025	J	`jnl`	Towards explainable trajectory classification: A segment-based perturbation approach. Neurocomputing Le Xuan Tung, Bui Dang Phuc, Vo Nguyen Le Duy
2025	J	`jnl`	WriteViT: Handwritten Text Generation with Vision Transformer. CoRR Dang Hoai Nam, Huynh Tong Dang Khoa, Vo Nguyen Le Duy
2024	J	`jnl`	Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval. CoRR Quang Hoang Trung, Nguyen Van Hoang Phuc, Le Trung Hoang, Quang Huu Hieu, Vo Nguyen Le Duy
2024	A	`conf`	CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. AISTATS Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi
2024	Misc	`conf`	CloudResilienceML: Ensuring Robustness of Machine Learning Models in Dynamic Cloud Systems. UCC Chanh Nguyen, Lidia Kidane, Vo Nguyen Le Duy, Erik Elmroth
2024	J	`jnl`	Controllable RANSAC-based Anomaly Detection via Hypothesis Testing. CoRR Le Hong Phong, Ho Ngoc Luat, Vo Nguyen Le Duy
2024	J	`jnl`	Selective Inference for Change Point Detection by Recurrent Neural Network. Neural Comput. Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2024	J	`jnl`	Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation. CoRR Nguyen Thang Loi, Duong Tan Loc, Vo Nguyen Le Duy
2024	J	`jnl`	Statistical Test for Anomaly Detections by Variational Auto-Encoders. CoRR Daiki Miwa, Tomohiro Shiraishi, Vo Nguyen Le Duy, Teruyuki Katsuoka, Ichiro Takeuchi
2024	J	`jnl`	Statistical Test for Attention Map in Vision Transformer. CoRR Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi
2024	A*	`conf`	Statistical Test for Attention Maps in Vision Transformers. ICML Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi
2024	J	`jnl`	Statistical Test for Generated Hypotheses by Diffusion Models. CoRR Teruyuki Katsuoka, Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2023	J	`jnl`	Bounded P-values in Parametric Programming-based Selective Inference. CoRR Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2023	J	`jnl`	CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. CoRR Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi
2023	J	`jnl`	Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball. CoRR Rory P. Bunker, Vo Nguyen Le Duy, Yasuo Tabei, Ichiro Takeuchi, Keisuke Fujii
2023	J	`jnl`	Selective Inference for Changepoint detection by Recurrent Neural Network. CoRR Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2023	J	`jnl`	Valid P-Value for Deep Learning-Driven Salient Region. CoRR Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2023	A*	`conf`	Valid P-Value for Deep Learning-driven Salient Region. ICLR Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2022	J	`jnl`	Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference. CoRR Vo Nguyen Le Duy, Ichiro Takeuchi
2022	A*	`conf`	Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. AAAI Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
2022	J	`jnl`	More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. J. Mach. Learn. Res. Vo Nguyen Le Duy, Ichiro Takeuchi
2022	A*	`conf`	Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference. NeurIPS Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
2022	J	`jnl`	Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction. IEEE Trans. Knowl. Data Eng. Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Hiroyuki Hanada, Yasuo Tabei, Ichiro Takeuchi
2021	J	`jnl`	Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation. CoRR Toshiaki Tsukurimichi, Yu Inatsu, Vo Nguyen Le Duy, Ichiro Takeuchi
2021	J	`jnl`	Exact Statistical Inference for the Wasserstein Distance by Selective Inference. CoRR Vo Nguyen Le Duy, Ichiro Takeuchi
2021	J	`jnl`	Fast and More Powerful Selective Inference for Sparse High-order Interaction Model. CoRR Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
2021	J	`jnl`	More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. CoRR Vo Nguyen Le Duy, Ichiro Takeuchi
2021	A*	`conf`	More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method. ICML Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi
2021	A	`conf`	Parametric Programming Approach for More Powerful and General Lasso Selective Inference. AISTATS Vo Nguyen Le Duy, Ichiro Takeuchi
2021	J	`jnl`	Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference. CoRR Ryota Sugiyama, Hiroki Toda, Vo Nguyen Le Duy, Yu Inatsu, Ichiro Takeuchi
2020	A*	`conf`	Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. NeurIPS Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi
2020	J	`jnl`	Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. CoRR Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi
2020	J	`jnl`	More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach. CoRR Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi
2020	J	`jnl`	Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs. CoRR Vo Nguyen Le Duy, Ichiro Takeuchi
2020	J	`jnl`	Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference. CoRR Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
2019	—	`conf`	Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction. SIGSPATIAL/GIS Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi
2019	J	`jnl`	Statistically Discriminative Sub-trajectory Mining. CoRR Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Nishi, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi