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ORCIDVu Nguyen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Vu Nguyen 0001
![[0000-0002-0294-4561]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0294-4561")
(aka: Tien-Vu Nguyen) — University of Oxford, UK (and 1 more) - Vu Nguyen 0002 — Griffith University, School of Information and Communication Technology, Australia
- Vu Nguyen 0003 — Vietnam National University - Ho Chi Minh City, Faculty of Information Technology, Vietnam (and 1 more)
- Vu Nguyen 0004 — Stony Brook University, Department of Computer Science, NY, USA
- Vu Nguyen 0005 — TU Dresden, Deutsche Telekom Chair of Communication Networks, Germany
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2020 – today
- 2024
[j9]Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang:
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. Trans. Mach. Learn. Res. 2024 (2024)- [c28]Masaki Adachi, Satoshi Hayakawa, Martin Jørgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne:
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach. AISTATS 2024: 496-504 - [c27]Huy Phan, Byeonggeun Kim, Vu Nguyen, Andrew Bydlon, Qingming Tang, Chieh-Chi Kao, Chao Wang:
Cross-Triggering Issue in Audio Event Detection and Mitigation. ICASSP 2024: 881-885 - [c26]Tri Le, Thien Tran, Duy Cao, Vy Le, Tien N. Nguyen, Vu Nguyen:
KAT: Dependency-Aware Automated API Testing with Large Language Models. ICST 2024: 82-92 - [c25]Diep Tran, Quyen Tran, Quy Tran, Vu Nguyen, Minh-Triet Tran:
Enhancing Financial Market Prediction with Reinforcement Learning and Ensemble Learning. AIAI (2) 2024: 32-46 - [c24]Vu Nguyen, Thomas Johansson, Qian Guo:
A Key-Recovery Attack on the LCMQ Authentication Protocol. ISIT 2024: 1824-1829 - [i28]Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang:
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy. CoRR abs/2402.03104 (2024) - [i27]Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen:
Rejection via Learning Density Ratios. CoRR abs/2405.18686 (2024) - [i26]Samuel Kessler, Tam Le, Vu Nguyen:
SAVA: Scalable Learning-Agnostic Data Valuation. CoRR abs/2406.01130 (2024) - [i25]Tri Le, Thien Tran, Duy Cao, Vy Le, Tien Nguyen, Vu Nguyen:
KAT: Dependency-aware Automated API Testing with Large Language Models. CoRR abs/2407.10227 (2024) - [i24]Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen:
Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CoRR abs/2407.18013 (2024) - 2023
- [j8]Thong Bach, Anh Tong, Truong Son Hy, Vu Nguyen, Thanh Nguyen-Tang:
Global Contrastive Learning for Long-Tailed Classification. Trans. Mach. Learn. Res. 2023 (2023) - [c23]Yan Zuo, Vu Nguyen, Amir Dezfouli, David Alexander, Benjamin Ward Muir, Iadine Chades:
Mixed-Variable Black-Box Optimisation Using Value Proposal Trees. AAAI 2023: 11506-11514 - [c22]Philip Jales, Jessica Cartwright, Matthieu Talpe, Jake Mashburn, Takayuki Yuasa, Oleguer Nogués-Correig, Vu Nguyen, Vahid Freeman:
Spire Global's Operational GNSS-Reflectometry Constellation for Earth Surface Observations. IGARSS 2023: 884-887 - [c21]Thomas Johansson, Willi Meier, Vu Nguyen:
Differential cryptanalysis of Mod-2/Mod-3 constructions of binary weak PRFs. ISIT 2023: 477-482 - [c20]Hisham Husain, Vu Nguyen, Anton van den Hengel:
Distributionally Robust Bayesian Optimization with φ-divergences. NeurIPS 2023 - [c19]Minh-Hieu Huynh, Quoc-Tri Le, Vu Nguyen, Tien Nguyen:
Web Page Segmentation: A DOM-Structural Cohesion Analysis Approach. WISE 2023: 319-333 - [i23]Vu Nguyen, Olatunji Olayiwola, Boyun Guo, Ning Liu:
Well Cement Degradation and Wellbore Integrity in Geological 2 CO2 Storages: A Literature Review. CoRR abs/2301.02357 (2023) - [i22]Olatunji Olayiwola, Vu Nguyen, Randy Andres, Ning Liu:
The application of Nano-silica gel in sealing well micro-annuli and cement channeling. CoRR abs/2301.08288 (2023) - [i21]Huong Ha, Vu Nguyen, Hongyu Zhang, Anton van den Hengel:
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation. CoRR abs/2306.06844 (2023) - [i20]Vu Nguyen:
Using a Catenary Trajectory to Reduce Wellbore Friction in Horizontal Extended Reach Drilling. CoRR abs/2309.12317 (2023) - [i19]Qian Guo, Thomas Johansson, Vu Nguyen:
A New Sieving-Style Information-Set Decoding Algorithm. IACR Cryptol. ePrint Arch. 2023: 247 (2023) - 2022
- [j7]Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer:
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. J. Artif. Intell. Res. 74: 517-568 (2022) - [j6]Thomas Johansson, Willi Meier, Vu Nguyen:
Attacks on the Firekite Cipher. IACR Trans. Symmetric Cryptol. 2022(3): 191-216 (2022) - [c18]Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne:
Bayesian Generational Population-Based Training. AutoML 2022: 14/1-27 - [c17]Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CVPR 2022: 6949-6959 - [c16]Tri Cao, Tuan Vu, Huyen Le, Vu Nguyen:
Ensemble approaches for Test Case Prioritization in UI testing. SEKE 2022: 231-236 - [i18]Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer:
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems. CoRR abs/2201.03916 (2022) - [i17]Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel:
Retrieval Augmented Classification for Long-Tail Visual Recognition. CoRR abs/2202.11233 (2022) - [i16]Hisham Husain, Vu Nguyen, Anton van den Hengel:
Distributionally Robust Bayesian Optimization with φ-divergences. CoRR abs/2203.02128 (2022) - [i15]Vu Nguyen, Sachin Farfade, Anton van den Hengel:
Confident Sinkhorn Allocation for Pseudo-Labeling. CoRR abs/2206.05880 (2022) - [i14]Xingchen Wan, Cong Lu, Jack Parker-Holder, Philip J. Ball, Vu Nguyen, Binxin Ru, Michael A. Osborne:
Bayesian Generational Population-Based Training. CoRR abs/2207.09405 (2022) - [i13]Thu Le, Dinh-Liem Nguyen, Vu Nguyen, Trung Truong:
Sampling type method combined with deep learning for inverse scattering with one incident wave. CoRR abs/2207.10011 (2022) - [i12]Thomas Johansson, Willi Meier, Vu Nguyen:
Attacks on the Firekite cipher. IACR Cryptol. ePrint Arch. 2022: 148 (2022) - 2021
- [c15]Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess, Vu Nguyen:
Bayesian Topic Regression for Causal Inference. EMNLP (1) 2021: 8162-8188 - [c14]Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne:
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. ICML 2021: 8084-8095 - [c13]Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne:
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. ICML 2021: 10663-10674 - [c12]Jack Parker-Holder, Vu Nguyen, Shaan Desai, Stephen J. Roberts:
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL. NeurIPS 2021: 15513-15528 - [c11]Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen J. Roberts:
Hierarchical Indian buffet neural networks for Bayesian continual learning. UAI 2021: 749-759 - [i11]Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne:
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. CoRR abs/2102.07188 (2021) - [i10]Jack Parker-Holder, Vu Nguyen, Shaan Desai, Stephen J. Roberts:
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL. CoRR abs/2106.15883 (2021) - [i9]Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess, Vu Nguyen:
Bayesian Topic Regression for Causal Inference. CoRR abs/2109.05317 (2021) - [i8]Vu Nguyen, Marc Peter Deisenroth, Michael A. Osborne:
Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds. CoRR abs/2110.12087 (2021) - 2020
- [c10]Vu Nguyen, Michael A. Osborne:
Knowing The What But Not The Where in Bayesian Optimization. ICML 2020: 7317-7326 - [c9]Bin Xin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J. Roberts:
Bayesian Optimisation over Multiple Continuous and Categorical Inputs. ICML 2020: 8276-8285 - [c8]Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood:
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective. NeurIPS 2020 - [c7]Vu Nguyen, Sebastian Schulze, Michael A. Osborne:
Bayesian Optimization for Iterative Learning. NeurIPS 2020 - [c6]Jack Parker-Holder, Vu Nguyen, Stephen J. Roberts:
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits. NeurIPS 2020 - [i7]Jack Parker-Holder, Vu Nguyen, Stephen Roberts:
One-Shot Bayes Opt with Probabilistic Population Based Training. CoRR abs/2002.02518 (2020) - [i6]Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne:
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. CoRR abs/2006.07593 (2020) - [i5]Vu Nguyen, Vaden Masrani, Rob Brekelmans, Michael A. Osborne, Frank Wood:
Gaussian Process Bandit Optimization of theThermodynamic Variational Objective. CoRR abs/2010.15750 (2020)
2010 – 2019
- 2019
- [j5]Thanh-Hoang Nguyen-Vo, Tri Le, Duy Pham, Tri Nguyen, Phuc Le, An Nguyen, Thanh Nguyen, Thien-Ngan Nguyen, Vu Nguyen, Hai Do, Khang Trinh, Trong Hai Duong, Ly Le:
VIETHERB: A Database for Vietnamese Herbal Species. J. Chem. Inf. Model. 59(1): 1-9 (2019) - [c5]Quang Nguyen, Vu Nguyen, Doi Tran, Trung Mai, Tho Quan:
Star2vec: From Subspace Embedding to Whole-Space Embedding for Intelligent Recommendation System (Extended Abstract). CSoNet 2019: 70-71 - [c4]Xuan-Vinh Nguyen, Phu-Khoa Nguyen, Vu Nguyen:
Clustering Automation Test Faults. KSE 2019: 1-7 - [i4]Vu Nguyen, Michael A. Osborne:
Knowing The What But Not The Where in Bayesian Optimization. CoRR abs/1905.02685 (2019) - [i3]Bin Xin Ru, Ahsan S. Alvi, Vu Nguyen, Michael A. Osborne, Stephen J. Roberts:
Bayesian Optimisation over Multiple Continuous and Categorical Inputs. CoRR abs/1906.08878 (2019) - [i2]Vu Nguyen, Sebastian Schulze, Michael A. Osborne:
Bayesian Optimization for Iterative Learning. CoRR abs/1909.09593 (2019) - [i1]Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen Roberts:
Indian Buffet Neural Networks for Continual Learning. CoRR abs/1912.02290 (2019) - 2016
- [c3]Vu Nguyen, Eric-Oluf Svee, Jelena Zdravkovic:
A Semi-automated Method for Capturing Consumer Preferences for System Requirements. PoEM 2016: 117-132 - 2015
- [j4]Kory Jenkins, Vu Nguyen, Ren Zhu, Rusen Yang:
Piezotronic Effect: An Emerging Mechanism for Sensing Applications. Sensors 15(9): 22914-22940 (2015) - 2014
- [c2]Vu Nguyen, Mina Guirguis, George K. Atia:
A unifying approach for the identification of application-driven stealthy attacks on mobile CPS. Allerton 2014: 1093-1101
2000 – 2009
- 2008
- [j3]Ronald M. Lee, Vu Nguyen, Anastasia Pagnoni:
Securing Uniqueness of Rights e-Documents: A Deontic Process Perspective. J. Theor. Appl. Electron. Commer. Res. 3(3): 83-102 (2008) - [j2]Vu Nguyen, Hoang Duong Tuan, Ha H. Nguyen, Nam Tran Nguyen:
Optimal Superimposed Training Design for Spatially Correlated Fading MIMO Channels. IEEE Trans. Wirel. Commun. 7(8): 3206-3217 (2008) - 2007
- [j1]Guillermo Francia III, Brian Estes, Rahjima R. Francia, Vu Nguyen, Alex Scroggins:
The Design and Implementation of an Automated Security Compliance Toolkit: A Pedagogical Exercise. J. Digit. Forensics Secur. Law 2(4): 59-76 (2007) - [c1]Guillermo Francia III, Brian Estes, Rahjima R. Francia, Vu Nguyen, Alex Scroggins:
The design and implementation of an automated security compliance toolkit: a pedagogical exercise. InfoSecCD 2007: 4:1
Coauthor Index
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