| 2025 | AISTATS | High Dimensional Bayesian Optimization using Lasso Variable Selection. | Vu Viet Hoang, Hung The Tran, Sunil Gupta, Vu Nguyen |
| 2025 | ICLR | SAVA: Scalable Learning-Agnostic Data Valuation. | Samuel Kessler, Tam Le, Vu Nguyen |
| 2025 | RecSys | In-context Learning for Addressing User Cold-start in Sequential Movie Recommenders. | Xurong Liang, Vu Nguyen, Vuong Le, Paul Albert, Julien Monteil |
| 2024 | AISTATS | Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach. | Masaki Adachi, Satoshi Hayakawa, Martin Jrgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne |
| 2024 | CIKM | Self-Supervision Improves Diffusion Models for Tabular Data Imputation. | Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen |
| 2024 | ICASSP | Cross-Triggering Issue in Audio Event Detection and Mitigation. | Huy Phan, Byeonggeun Kim, Vu Nguyen, Andrew Bydlon, Qingming Tang, Chieh-Chi Kao, Chao Wang |
| 2024 | ICST | KAT: Dependency-Aware Automated API Testing with Large Language Models. | Tri Le, Thien Tran, Duy Cao, Vy Le, Tien N. Nguyen, Vu Nguyen |
| 2024 | ISIT | A Key-Recovery Attack on the LCMQ Authentication Protocol. | Vu Nguyen, Thomas Johansson, Qian Guo |
| 2024 | ISSTA | Segment-Based Test Case Prioritization: A Multi-objective Approach. | Hieu Huynh, Nhu Pham, Tien N. Nguyen, Vu Nguyen |
| 2024 | PRICAI | VisiDroid: An Approach for Generating Test Scripts from Task Descriptions for Mobile Testing. | Hai Phung, Hao Pham, Tien N. Nguyen, Vu Nguyen |
| 2024 | SMC | Try-Then-Eval: Equipping an LLM-based Agent with a Two-Phase Mechanism to Solve Computer Tasks. | Duy Cao, Phu Nguyen, Vy Le, Long Nguyen, Vu Nguyen |
| 2023 | AAAI | Mixed-Variable Black-Box Optimisation Using Value Proposal Trees. | Yan Zuo, Vu Nguyen, Amir Dezfouli, David Alexander, Benjamin Ward Muir, Iadine Chades |
| 2023 | CVPR | Zero-Shot Object Counting. | Jingyi Xu, Hieu Le, Vu Nguyen, Viresh Ranjan, Dimitris Samaras |
| 2023 | IGARSS | Spire Global's Operational GNSS-Reflectometry Constellation for Earth Surface Observations. | Philip Jales, Jessica Cartwright, Matthieu Talpe, Jake Mashburn, Takayuki Yuasa, Oleguer Nogus-Correig, Vu Nguyen, Vahid Freeman |
| 2023 | ISIT | Differential cryptanalysis of Mod-2/Mod-3 constructions of binary weak PRFs. | Thomas Johansson, Willi Meier, Vu Nguyen |
| 2023 | PERCOM | On the Advantages of Hand Gesture Recognition with Data Gloves for Gaming Applications. | Achim Schade, Jonas Schulz, Vu Nguyen, Christian Scheunert, Sebastian Bodenstedt, Giang T. Nguyen, Stefanie Speidel, Frank H. P. Fitzek |
| 2023 | WISE | Web Page Segmentation: A DOM-Structural Cohesion Analysis Approach. | Minh-Hieu Huynh, Quoc-Tri Le, Vu Nguyen, Tien Nguyen |
| 2022 | CVPR | Retrieval Augmented Classification for Long-Tail Visual Recognition. | Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel |
| 2022 | SEKE | Ensemble approaches for Test Case Prioritization in UI testing. | Tri Cao, Tuan Vu, Huyen Le, Vu Nguyen |
| 2021 | EMNLP | Bayesian Topic Regression for Causal Inference. | Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess, Vu Nguyen |
| 2021 | ICML | Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. | Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne |
| 2021 | ICML | Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. | Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne |
| 2021 | UAI | Hierarchical Indian buffet neural networks for Bayesian continual learning. | Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts |
| 2020 | GLOBECOM | Exploring the Benefits of Memory-Limited Fulcrum Recoding for Heterogeneous Nodes. | Vu Nguyen, Juan A. Cabrera, Sreekrishna Pandi, Giang T. Nguyen, Frank H. P. Fitzek |
| 2020 | ICML | Knowing The What But Not The Where in Bayesian Optimization. | Vu Nguyen, Michael A. Osborne |
| 2020 | ICML | Bayesian Optimisation over Multiple Continuous and Categorical Inputs. | Bin Xin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J. Roberts |
| 2019 | ICDM | Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations. | Vu Nguyen, Sunil Gupta, Santu Rana, My T. Thai, Cheng Li, Svetha Venkatesh |
| 2018 | ECCV | A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation. | Hieu Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras |
| 2018 | ICDM | Accelerating Experimental Design by Incorporating Experimenter Hunches. | Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson |
| 2018 | IJCAI | Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. | Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu |
| 2017 | ACML | Regret for Expected Improvement over the Best-Observed Value and Stopping Condition. | Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh |
| 2017 | ICCV | Shadow Detection with Conditional Generative Adversarial Networks. | Vu Nguyen, Tomas F. Yago Vicente, Maozheng Zhao, Minh Hoai, Dimitris Samaras |
| 2017 | ICDM | GoGP: Fast Online Regression with Gaussian Processes. | Trung Le, Khanh Nguyen, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung |
| 2017 | ICDM | Bayesian Optimization in Weakly Specified Search Space. | Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh |
| 2017 | ICML | High Dimensional Bayesian Optimization with Elastic Gaussian Process. | Santu Rana, Cheng Li, Sunil Gupta, Vu Nguyen, Svetha Venkatesh |
| 2017 | IJCAI | High Dimensional Bayesian Optimization using Dropout. | Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton |
| 2017 | IJCAI | Discriminative Bayesian Nonparametric Clustering. | Vu Nguyen, Dinh Q. Phung, Trung Le, Hung Bui |
| 2016 | ACCV | Geodesic Distance Histogram Feature for Video Segmentation. | Hieu Le, Vu Nguyen, Chen-Ping Yu, Dimitris Samaras |
| 2016 | ACML | A Bayesian Nonparametric Approach for Multi-label Classification. | Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh |
| 2016 | ACML | Multiple Kernel Learning with Data Augmentation. | Khanh Nguyen, Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung |
| 2016 | AISTATS | Nonparametric Budgeted Stochastic Gradient Descent. | Trung Le, Vu Nguyen, Tu Dinh Nguyen, Dinh Q. Phung |
| 2016 | DSAA | Learning Multifaceted Latent Activities from Heterogeneous Mobile Data. | Nguyen Thanh Binh, Vu Nguyen, Nguyen Cong Thuong, Svetha Venkatesh, Mohan Kumar, Dinh Q. Phung |
| 2016 | ICDM | One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems. | Vu Nguyen, Tu Dinh Nguyen, Trung Le, Svetha Venkatesh, Dinh Q. Phung |
| 2016 | ICDM | Budgeted Batch Bayesian Optimization. | Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh |
| 2016 | ICPR | Multiple adverse effects prediction in longitudinal cancer treatment. | Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, David Ashely, Trish Livingston |
| 2016 | ICPR | Distributed data augmented support vector machine on Spark. | Tu Dinh Nguyen, Vu Nguyen, Trung Le, Dinh Q. Phung |
| 2016 | ICPR | MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data. | Nguyen Thanh Binh, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2016 | PAKDD | Sparse Adaptive Multi-hyperplane Machine. | Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Q. Phung |
| 2016 | PAKDD | Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes. | Nguyen Thanh Binh, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2016 | PERCOM | SECC: Simultaneous extraction of context and community from pervasive signals. | Nguyen Cong Thuong, Vu Nguyen, Flora D. Salim, Dinh Q. Phung |
| 2016 | UAI | Budgeted Semi-supervised Support Vector Machine . | Trung Le, Phuong Duong, Mi Dinh, Tu Dinh Nguyen, Vu Nguyen, Dinh Q. Phung |
| 2015 | PAKDD | A Bayesian Nonparametric Approach to Multilevel Regression. | Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui |
| 2014 | FIE | Learning and practicing object-oriented programming using a collaborative web-based IDE. | Vu Nguyen, Hai H. Dang, Kha N. Do, Thu D. Tran |
| 2014 | ICFHR | Off-Line Handwritten Bilingual Name Recognition for Student Identification in an Automated Assessment System. | Hemmaphan Suwanwiwat, Vu Nguyen, Michael Blumenstein, Umapada Pal |
| 2014 | IIWAS | EduCo: An Integrated Social Environment for Teaching and Learning Software Engineering Courses. | Hai H. Dang, Vu Nguyen, Kha N. Do, Thu D. Tran |
| 2014 | IJCNN | Off-line handwritten Thai name recognition for student identification in an automated assessment system. | Hemmaphan Suwanwiwat, Vu Nguyen, Michael Blumenstein, Umapada Pal |
| 2012 | DAS | A Compact Size Feature Set for the Off-Line Signature Verification Problem. | Vu Nguyen, Michael Blumenstein |
| 2012 | DAS | Off-Line Bangla Signature Verification. | Srikanta Pal, Vu Nguyen, Michael Blumenstein, Umapada Pal |
| 2012 | HIS | Off-line restricted-set handwritten word recognition for student identification in a short answer question automated assessment system. | Hemmaphan Suwanwiwat, Vu Nguyen, Michael Blumenstein |
| 2011 | ICDAR | An Application of the 2D Gaussian Filter for Enhancing Feature Extraction in Off-line Signature Verification. | Vu Nguyen, Michael Blumenstein |
| 2010 | DAS | Techniques for static handwriting trajectory recovery: a survey. | Vu Nguyen, Michael Blumenstein |
| 2010 | ICFHR | Performance Analysis of the Gradient Feature and the Modified Direction Feature for Off-line Signature Verification. | Vu Nguyen, Yumiko Kawazoe, Tetsushi Wakabayashi, Umapada Pal, Michael Blumenstein |
| 2009 | APSEC | Assessing and Estimating Corrective, Enhancive, and Reductive Maintenance Tasks: A Controlled Experiment. | Vu Nguyen, Barry W. Boehm, Phongphan Danphitsanuphan |
| 2009 | ICDAR | Global Features for the Off-Line Signature Verification Problem. | Vu Nguyen, Michael Blumenstein, Graham Leedham |
| 2008 | ESEM | A constrained regression technique for cocomo calibration. | Vu Nguyen, Bert Steece, Barry W. Boehm |
| 2007 | ICDAR | Off-line Signature Verification Using Enhanced Modified Direction Features in Conjunction with Neural Classifiers and Support Vector Machines. | Vu Nguyen, Michael Blumenstein, Vallipuram Muthukkumarasamy, Graham Leedham |