Duong Nguyen

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 35

Top Topics

Partial Observations

Variational Inference

Top Venues

Publications

Tomás Arias-Vergara, Catherine J. Madill, Duong Nguyen, John Holik, Michael Döllinger
VOAT: Voice Onset Analysis Tool. SoftwareX 27 (2024)
Duong Nguyen, Ronan Fablet
A Transformer Network With Sparse Augmented Data Representation and Cross Entropy Loss for AIS-Based Vessel Trajectory Prediction. IEEE Access 12 (2024)
Khoi Do, Duong Nguyen, Nguyen H. Tran, Viet Dung Nguyen
PAT: Pixel-wise Adaptive Training for Long-tailed Segmentation. CoRR (2024)
Huyen Ngo, Khoi Do, Duong Nguyen, Viet Dung Nguyen, Lan Dang
How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model? CoRR (2024)
Thao Hoang, Linh Nguyen, Khoi Do, Duong Nguyen, Viet Dung Nguyen
Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks. CoRR (2024)
Nhat Nguyen, Duong Nguyen, Gianluca Rizzo, Hung Nguyen
United We Stand: Decentralized Multi-Agent Planning With Attrition. CoRR (2024)
Khoi Do, Duong Nguyen, Hoa Nguyen, Long Tran-Thanh, Quoc-Viet Pham
Revisiting LARS for Large Batch Training Generalization of Neural Networks. CoRR (2023)
Duong Nguyen, Langford B. White, Hung Nguyen
Social Optimum Equilibrium Selection for Distributed Multi-Agent Optimization. CoRR (2023)
Langford B. White, Oskar Rynkiewicz, Duong Nguyen, Hung Nguyen
Bayesian Rationality in Satisfaction Games. CoRR (2023)
Nhat Nguyen, Duong Nguyen, Junae Kim, Gianluca Rizzo, Hung Nguyen
Multi-Agent Data Collection in Non-Stationary Environments. WoWMoM (2022)
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
GeoTrackNet - A Maritime Anomaly Detector Using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. IEEE Trans. Intell. Transp. Syst. 23 (6) (2022)
Duong Nguyen, Nam Cao, Son Nguyen, Son Ta, Cuong Dinh
MFinBERT: Multilingual Pretrained Language Model For Financial Domain. KSE (2022)
Aron Sarmasi, Timothy Zhang, Chu-Hung Cheng, Huyen Pham, Xuanchen Zhou, Duong Nguyen, Soumil Shekdar, Joshua McCoy
Meta-Learning a Solution to the Hanabi Ad-Hoc Challenge. FDG (2021)
Duong Nguyen, Ronan Fablet
TrAISformer-A generative transformer for AIS trajectory prediction. CoRR (2021)
Aron Sarmasi, Timothy Zhang, Chu-Hung Cheng, Huyen Pham, Xuanchen Zhou, Duong Nguyen, Soumil Shekdar, Joshua McCoy
HOAD: The Hanabi Open Agent Dataset. AAMAS (2021)
Son Nguyen, Duong Nguyen, Khai Nguyen, Nhat Ho, Khoat Than, Hung Bui
Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout. CoRR (2021)
Son Nguyen, Duong Nguyen, Khai Nguyen, Khoat Than, Hung Bui, Nhat Ho
Structured Dropout Variational Inference for Bayesian Neural Networks. NeurIPS (2021)
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data. ICASSP (2020)
Yujin Tang, Duong Nguyen, David Ha
Neuroevolution of Self-Interpretable Agents. CoRR (2020)
Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean. CoRR (2020)
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
Variational Deep Learning for the Identification and Reconstruction of Chaotic and Stochastic Dynamical Systems from Noisy and Partial Observations. CoRR (2020)
Duong Nguyen, Matthieu Simonin, Guillaume Hajduch, Rodolphe Vadaine, Cédric Tedeschi, Ronan Fablet
Detection of Abnormal Vessel Behaviours from AIS data using GeoTrackNet: from the Laboratory to the Ocean. MDM (2020)
Yujin Tang, Duong Nguyen, David Ha
Neuroevolution of self-interpretable agents. GECCO (2020)
Said Ouala, Duong Nguyen, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
Learning Latent Dynamics for Partially-Observed Chaotic Systems. CoRR (2019)
Said Ouala, Duong Nguyen, Cédric Herzet, Lucas Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets. IGARSS (2019)
Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. ICASSP (2019)
Duong Nguyen, Said Ouala, Lucas Drumetz, Ronan Fablet
EM-like Learning Chaotic Dynamics from Noisy and Partial Observations. CoRR (2019)
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection. CoRR (2019)
Duong Nguyen, Oliver S. Kirsebom, Fábio Frazão, Ronan Fablet, Stan Matwin
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection. CoRR (2019)
Duong Nguyen, Fragkiskos D. Malliaros
BiasedWalk: Biased Sampling for Representation Learning on Graphs. CoRR (2018)
Duong Nguyen, Fragkiskos D. Malliaros
BiasedWalk: Biased Sampling for Representation Learning on Graphs. IEEE BigData (2018)
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
A two-stage-pipeline CPU of SH-2 architecture implemented on FPGA and SoC for IoT, edge AI and robotic applications. COOL CHIPS (2018)
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
A Multi-Task Deep Learning Architecture for Maritime Surveillance Using AIS Data Streams. DSAA (2018)
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
Multi-task Learning for Maritime Traffic Surveillance from AIS Data Streams. CoRR (2018)
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
Experimental Test-Bed for Bumblebee-Inspired Channel Selection in an Ad-Hoc Network. VTC Fall (2018)
Paul Wong, Duong Nguyen, Ahmed Abukmail, Richard Brown, Robert Ryan, Mary Pagnutti
Low Cost Unmanned Aerial Vehicle Monitoring Using Smart Phone Technology. ITNG (2015)
Paul Wong, Vijay Varikota, Duong Nguyen, Ahmed Abukmail
Automatic Android-based Wireless Mesh Networks. Informatica (Slovenia) 38 (4) (2014)
Hieu Trung Nguyen, Duong Nguyen, Long Bao Le
Home energy management with generic thermal dynamics and user temperature preference. SmartGridComm (2013)
Duong Nguyen
Learning Automata Swarm for Adaptive Space Situational Awareness. Software Engineering Research and Practice (2010)
Cao D. Nguyen, Katheleen J. Gardiner, Duong Nguyen, Krzysztof J. Cios
Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach. PRICAI (2008)
Duong Nguyen, Simon G. Thompson, Cefn Hoile
Hubbub - An Innovative Customer Support Forum. BIS (Workshops) (2008)
Marc D. Richards, L. Darrell Whitley, J. Ross Beveridge, Todd Mytkowicz, Duong Nguyen, David Rome
Evolving cooperative strategies for UAV teams. GECCO (2005)
Duong Nguyen, J. Griffith-Jones, R. Jarrot
Beamforming in an Array with Failed Elements. ISSPA (1996)