Dung Truong

30 papers B 1Journal 16Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data Normalization Strategies for EEG Deep Learning.
CoRR
Dung Truong, Arnaud Delorme
2025 J jnl
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding.
CoRR
Bruno Aristimunha, Dung Truong, Pierre Guetschel, Seyed Yahya Shirazi, Isabelle Guyon, Alexandre R. Franco, Michael P. Milham, Aviv Dotan, Scott Makeig, Alexandre Gramfort, Jean-Remi King, Marie-Constance Corsi, Pedro A. Valdés-Sosa, Amitava Majumdar, Alan Evans, Terrence J. Sejnowski, Oren Shriki, Sylvain Chevallier, Arnaud Delorme
2025 J jnl
From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data.
CoRR
Siwen Wang, Shitou Zhang, Wan-Lin Chen, Dung Truong, Tzyy-Ping Jung
2025 B conf
RobustFSM: Submodular Maximization in Federated Setting with Malicious Clients.
IEEE Big Data
Duc A. Tran, Dung Truong, Duy Le
2025 J jnl
RobustFSM: Submodular Maximization in Federated Setting with Malicious Clients.
CoRR
Duc A. Tran, Dung Truong, Duy Le
2025 J jnl
Small object detection in aerial traffic imagery: A benchmark for motorbike-dominated road scenes.
J. Vis. Commun. Image Represent.
Dung Truong, Quang Nguyen, Khanh-Duy Nguyen, Tam V. Nguyen, Khang Nguyen
2025 J jnl
Strategic Server Deployment under Uncertainty in Mobile Edge Computing.
CoRR
Duc A. Tran, Dung Truong, Duy Le
2024 — conf
An Empirical Study of a Shape-Adaptive Approach in Aerial Object Detection.
ICCAIS
Nguyen Thanh Hiep, Toan Le, Quang Nguyen, Do Le-Huu, Huong-Giang Ngo, Dung Truong, Khang Nguyen
2024 — conf
Automatic EEG Independent Component Classification Using ICLabel in Python.
BIBM
Arnaud Delorme, Dung Truong, Luca Pion-Tonachini, Scott Makeig
2024 J jnl
Automatic EEG Independent Component Classification Using ICLabel in Python.
CoRR
Arnaud Delorme, Dung Truong, Luca Pion-Tonachini, Scott Makeig
2024 — conf
EEG-SSL: A Framework for Self-Supervised Learning on EEG.
BIBM
Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
2023 J jnl
Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED).
Neuroinformatics
Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig
2023 — conf
Deep learning applied to EEG data with different montages using spatial attention.
BIBM
Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
2023 J jnl
Deep learning applied to EEG data with different montages using spatial attention.
CoRR
Dung Truong, Muhammad Abdullah Khalid, Arnaud Delorme
2022 — conf
A streamable large-scale clinical EEG dataset for Deep Learning.
EMBC
Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme
2022 J jnl
A streamable large-scale clinical EEG dataset for Deep Learning.
CoRR
Dung Truong, Manisha Sinha, Kannan Umadevi Venkataraju, Michael P. Milham, Arnaud Delorme
2022 J jnl
Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED).
Neuroinformatics
Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig
2022 — conf
GaDocNet: Rethinking the Anchoring Scheme and Loss Function in Vietnamese Document Images.
MAPR
Thuan Trong Nguyen, Dung Truong, Nguyen D. Vo, Khang Nguyen
2022 J jnl
NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data.
Database J. Biol. Databases Curation
Arnaud Delorme, Dung Truong, Choonhan Youn, Subhashini Sivagnanam, Claire Stirm, Kenneth Yoshimoto, Russell A. Poldrack, Amitava Majumdar, Scott Makeig
2021 — conf
Assessing learned features of Deep Learning applied to EEG.
BIBM
Dung Truong, Scott Makeig, Arnaud Delorme
2021 J jnl
Assessing learned features of Deep Learning applied to EEG.
CoRR
Dung Truong, Scott Makeig, Arnaud Delorme
2021 J jnl
Capturing the nature of events and event context using hierarchical event descriptors (HED).
NeuroImage
Kay Robbins, Dung Truong, Stefan Appelhoff, Arnaud Delorme, Scott Makeig
2021 — conf
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features.
EMBC
Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme
2021 J jnl
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features.
CoRR
Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme
2021 — conf
MC-OCR Challenge 2021: Deep Learning Approach for Vietnamese Receipts OCR.
RIVF
Doanh C. Bui, Dung Truong, Nguyen D. Vo, Khang Nguyen
2021 J jnl
The open EEGLAB portal Interface: High-Performance computing with EEGLAB.
NeuroImage
Ramón Martínez-Cancino, Arnaud Delorme, Dung Truong, Fiorenzo Artoni, Kenneth Kreutz-Delgado, Subhashini Sivagnanam, Kenneth Yoshimoto, Amitava Majumdar, Scott Makeig
2021 — conf
Tools for Importing and Evaluating BIDS-EEG Formatted Data.
NER
Arnaud Delorme, Dung Truong, Ramón Martínez-Cancino, Cyril R. Pernet, Subha Sivagnanam, Kenneth Yoshimoto, Russ Poldrack, Amit Majumdar, Scott Makeig
2020 — conf
Neuroscience Gateway Enabling Large Scale Modeling and Data Processing in Neuroscience Research.
PEARC
Subhashini Sivagnanam, Kenneth Yoshimoto, Ted Carnevale, Dave Nadeau, Martin Kandes, Trevor Petersen, Dung Truong, Ramón Martínez-Cancino, Arnaud Delorme, Scott Makeig, Amit Majumdar
2019 — conf
Detecting Web Attacks using Stacked Denoising Autoencoder and Ensemble Learning Methods.
SoICT
Dung Truong, Duc Tran, Lam Nguyen, Hieu Mac, Hai Anh Tran, Tung Bui
2018 — conf
Detecting Attacks on Web Applications using Autoencoder.
SoICT
Hieu Mac, Dung Truong, Lam Nguyen, Hoa N. Nguyen, Hai Anh Tran, Duc Tran