Duong Nguyen

57 papers A* 1A 7B 4C 3Misc 2Journal 30Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models.
CoRR
Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen, Siwei Xie, Trung Q. Nguyen, Mai T. N. Truong, Daniel Palenicek, An T. Le, Michael Barz, TrungTin Nguyen, Tuan Dam, Ngan Le, Minh Vu, Khoa D. Doan, Ngo Anh Vien, Pengtao Xie, James Zou, Daniel Sonntag, Jan Peters, Mathias Niepert
2025 A conf
Domain Generalization via Pareto Optimal Gradient Matching.
ECAI
Khoi Do, Nam-Khanh Le, Quoc-Viet Pham, Binh-Son Hua, Won-Joo Hwang, Duong Nguyen
2025 J jnl
Domain Generalization via Pareto Optimal Gradient Matching.
CoRR
Khoi Do, Duong Nguyen, Nam-Khanh Le, Quoc-Viet Pham, Binh-Son Hua, Won-Joo Hwang
2025 J jnl
Foundation models for time series forecasting: Application in conformal prediction.
CoRR
Sami Achour, Yassine Bouher, Duong Nguyen, Nicolas Chesneau
2025 A conf
Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction.
ICSME
Duong Nguyen, Thanh Le-Cong, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh
2025 J jnl
Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction.
CoRR
Duong Nguyen, Thanh Le-Cong, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh
2025 A conf
VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models.
ICSME
Duong Nguyen, Manh Tran-Duc, Thanh Le-Cong, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh
2025 J jnl
VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models.
CoRR
Duong Nguyen, Manh Tran-Duc, Thanh Le-Cong, Triet Huynh Minh Le, M. Ali Babar, Quyet-Thang Huynh
2024 J jnl
A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction.
IEEE Access
Duong Nguyen, Ronan Fablet
2024 J jnl
Decentralized Coordination for Multi-Agent Data Collection in Dynamic Environments.
IEEE Trans. Mob. Comput.
Nhat Nguyen, Duong Nguyen, Junae Kim, Gianluca Rizzo, Hung X. Nguyen
2024 J jnl
How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model?
CoRR
Huyen Ngo, Hoang Khoi Do, Duong Nguyen, Viet Dung Nguyen, Lan Dang
2024 B conf
Magazine Supply Optimization: A Case-Study.
DSAA
Duong Nguyen, Ana Ulianovici, Sami Achour, Soline Aubry, Nicolas Chesneau
2024 J jnl
Magazine Supply Optimization: a Case-study.
CoRR
Duong Nguyen, Ana Ulianovici, Sami Achour, Soline Aubry, Nicolas Chesneau
2024 J jnl
PAT: Pixel-wise Adaptive Training for Long-tailed Segmentation.
CoRR
Hoang Khoi Do, Duong Nguyen, Nguyen H. Tran, Viet Dung Nguyen
2024 J jnl
Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks.
CoRR
Thao Hoang, Linh Nguyen, Hoang Khoi Do, Duong Nguyen, Viet Dung Nguyen
2024 J jnl
Satisfaction and Regret in Stackelberg Games.
CoRR
Langford B. White, Duong Nguyen, Hung Nguyen
2024 J jnl
United We Stand: Decentralized Multi-Agent Planning With Attrition.
CoRR
Nhat Nguyen, Duong Nguyen, Gianluca Rizzo, Hung Nguyen
2024 A conf
United We Stand: Decentralized Multi-Agent Planning with Attrition.
ECAI
Nhat Nguyen, Duong Nguyen, Gianluca Rizzo, Hung Nguyen
2024 J jnl
VOAT: Voice Onset Analysis Tool.
SoftwareX
Tomás Arias-Vergara, Catherine J. Madill, Duong Nguyen, John Holik, Michael Döllinger
2023 J jnl
Bayesian Rationality in Satisfaction Games.
CoRR
Langford B. White, Oskar Rynkiewicz, Duong Nguyen, Hung Nguyen
2023 J jnl
Revisiting LARS for Large Batch Training Generalization of Neural Networks.
CoRR
Hoang Khoi Do, Duong Nguyen, Hoa Nguyen, Long Tran-Thanh, Quoc-Viet Pham
2023 J jnl
Social Optimum Equilibrium Selection for Distributed Multi-Agent Optimization.
CoRR
Duong Nguyen, Langford B. White, Hung Nguyen
2022 J jnl
GeoTrackNet - A Maritime Anomaly Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection.
IEEE Trans. Intell. Transp. Syst.
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
2022 — conf
MFinBERT: Multilingual Pretrained Language Model For Financial Domain.
KSE
Duong Nguyen, Nam Cao, Son Nguyen, Son Ta, Cuong Dinh
2022 C conf
Multi-Agent Data Collection in Non-Stationary Environments.
WoWMoM
Nhat Nguyen, Duong Nguyen, Junae Kim, Gianluca Rizzo, Hung Nguyen
2021 A conf
HOAD: The Hanabi Open Agent Dataset.
AAMAS
Aron Sarmasi, Timothy Zhang, Chu-Hung Cheng, Huyen Pham, Xuanchen Zhou, Duong Nguyen, Soumil Shekdar, Joshua McCoy
2021 J jnl
Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout.
CoRR
Son Nguyen, Duong Nguyen, Khai Nguyen, Nhat Ho, Khoat Than, Hung Bui
2021 C conf
Meta-Learning a Solution to the Hanabi Ad-Hoc Challenge.
FDG
Aron Sarmasi, Timothy Zhang, Chu-Hung Cheng, Huyen Pham, Xuanchen Zhou, Duong Nguyen, Soumil Shekdar, Joshua McCoy
2021 A* conf
Structured Dropout Variational Inference for Bayesian Neural Networks.
NeurIPS
Son Nguyen, Duong Nguyen, Khai Nguyen, Khoat Than, Hung Bui, Nhat Ho
2021 J jnl
TrAISformer-A generative transformer for AIS trajectory prediction.
CoRR
Duong Nguyen, Ronan Fablet
2020 Misc conf
Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data.
ICASSP
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2020 B conf
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean.
MDM
Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet
2020 J jnl
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean.
CoRR
Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet
2020 J jnl
Neuroevolution of Self-Interpretable Agents.
CoRR
Yujin Tang, Duong Nguyen, David Ha
2020 A conf
Neuroevolution of self-interpretable agents.
GECCO
Yujin Tang, Duong Nguyen, David Ha
2020 J jnl
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations.
CoRR
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2020 — —
Variational deep learning for time series modelling and analysis : applications to dynamical system identification and maritime traffic anomaly detection. (Apprentissage variationnel profond pour la modélisation et l'analyse de séries temporelles : applications à l'identification de systèmes dynamiques et à la détection d'anomalies de trafic maritime).
Duong Nguyen
2019 J jnl
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations.
CoRR
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
2019 J jnl
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection.
CoRR
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
2019 J jnl
Learning Latent Dynamics for Partially-Observed Chaotic Systems.
CoRR
Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2019 C conf
Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets.
IGARSS
Said Ouala, Duong Nguyen, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
2019 Misc conf
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection.
ICASSP
Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin
2019 J jnl
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection.
CoRR
Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin
2018 B conf
A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data Streams.
DSAA
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
2018 — conf
A two-stage-pipeline CPU of SH-2 architecture implemented on FPGA and SoC for IoT, edge AI and robotic applications.
COOL CHIPS
Kesami Hagiwara, Tomoichi Hayashi, Shumpei Kawasaki, Fumio Arakawa, Oleg Endo, Hayato Nomura, Akira Tsukamoto, Duong Nguyen, Binh Nguyen, Anh Tran, Hoan Hyunh, Ikuo Kudoh, Cong-Kha Pham
2018 — conf
BiasedWalk: Biased Sampling for Representation Learning on Graphs.
IEEE BigData
Duong Nguyen, Fragkiskos D. Malliaros
2018 J jnl
BiasedWalk: Biased Sampling for Representation Learning on Graphs.
CoRR
Duong Nguyen, Fragkiskos D. Malliaros
2018 — conf
Experimental Test-Bed for Bumblebee-Inspired Channel Selection in an Ad-Hoc Network.
VTC Fall
Kuldeep S. Gill, Kyle W. McClintick, Nivetha Kanthasamy, Jefferey Tolbert, Duong Nguyen, Son Nguyen, Galahad Wernsing, Valerie Moore, Ian Gelman, Alexander O'Neil, Nicholas Schubert, Corey Coogan, Krysta Murdy, Brian Mahan, Sylvester Halama, Kevin N. Heath, Elizabeth F. Ryder, Robert J. Gegear, Alexander M. Wyglinski
2018 J jnl
Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams.
CoRR
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
2015 — conf
Low Cost Unmanned Aerial Vehicle Monitoring Using Smart Phone Technology.
ITNG
Paul Wong, Duong Nguyen, Ahmed Abukmail, Richard Brown, Robert Ryan, Mary Pagnutti
2014 J jnl
Automatic Android-based Wireless Mesh Networks.
Informatica (Slovenia)
Paul Wong, Vijay Varikota, Duong Nguyen, Ahmed Abukmail
2013 — conf
Home energy management with generic thermal dynamics and user temperature preference.
SmartGridComm
Hieu Trung Nguyen, Duong Nguyen, Long Bao Le
2010 — conf
Learning Automata Swarm for Adaptive Space Situational Awareness.
Software Engineering Research and Practice
Duong Nguyen
2008 — conf
Hubbub - An Innovative Customer Support Forum.
BIS (Workshops)
Duong Nguyen, Simon G. Thompson, Cefn Hoile
2008 B conf
Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach.
PRICAI
Cao D. Nguyen, Katheleen J. Gardiner, Duong Nguyen, Krzysztof J. Cios
2005 A conf
Evolving cooperative strategies for UAV teams.
GECCO
Marc D. Richards, L. Darrell Whitley, J. Ross Beveridge, Todd Mytkowicz, Duong Nguyen, David Rome
1996 — conf
Beamforming in an Array with Failed Elements.
ISSPA
Duong Nguyen, J. Griffith-Jones, R. Jarrot