Detecting Attacks on Web Applications using Autoencoder. - Hieu Mac; Dung Truong; Lam Nguyen; Hoa N. Nguyen; Hai Anh Tran; Duc Tran (SoICT, 2018)

Detecting Web Attacks using Stacked Denoising Autoencoder and Ensemble Learning Methods. - Dung Truong; Duc Tran; Lam Nguyen; Hieu Mac; Hai Anh Tran; Tung Bui (SoICT, 2019)

Neuroscience Gateway Enabling Large Scale Modeling and Data Processing in Neuroscience Research. - Subhashini Sivagnanam; Kenneth Yoshimoto; Ted Carnevale; Dave Nadeau; Martin Kandes; Trevor Petersen; Dung Truong; Ramón Martínez-Cancino; Arnaud Delorme; Scott Makeig; Amit Majumdar 001 (PEARC, 2020)

Assessing learned features of Deep Learning applied to EEG. - Dung Truong; Scott Makeig; Arnaud Delorme (BIBM, 2021)

Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. - Dung Truong; Michael P. Milham; Scott Makeig; Arnaud Delorme (EMBC, 2021)

Tools for Importing and Evaluating BIDS-EEG Formatted Data. - Arnaud Delorme; Dung Truong; Ramón Martínez-Cancino; Cyril R. Pernet; Subha Sivagnanam; Kenneth Yoshimoto; Russ Poldrack; Amit Majumdar 001; Scott Makeig (NER, 2021)

MC-OCR Challenge 2021: Deep Learning Approach for Vietnamese Receipts OCR. - Doanh C. Bui; Dung Truong; Nguyen D. Vo; Khang Nguyen 001 (RIVF, 2021)

The open EEGLAB portal Interface: High-Performance computing with EEGLAB. - Ramón Martínez-Cancino; Arnaud Delorme; Dung Truong; Fiorenzo Artoni; Kenneth Kreutz-Delgado; Subhashini Sivagnanam; Kenneth Yoshimoto; Amitava Majumdar 001; Scott Makeig (NeuroImage, 2021)

Capturing the nature of events and event context using hierarchical event descriptors (HED). - Kay Robbins; Dung Truong; Stefan Appelhoff; Arnaud Delorme; Scott Makeig (NeuroImage, 2021)

A streamable large-scale clinical EEG dataset for Deep Learning. - Dung Truong; Manisha Sinha; Kannan Umadevi Venkataraju; Michael P. Milham; Arnaud Delorme (EMBC, 2022)

GaDocNet: Rethinking the Anchoring Scheme and Loss Function in Vietnamese Document Images. - Thuan Trong Nguyen; Dung Truong; Nguyen D. Vo; Khang Nguyen 001 (MAPR, 2022)

NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data. - Arnaud Delorme; Dung Truong; Choonhan Youn; Subhashini Sivagnanam; Claire Stirm; Kenneth Yoshimoto; Russell A. Poldrack; Amitava Majumdar 001; Scott Makeig (Database J. Biol. Databases Curation, 2022)

Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). - Kay Robbins; Dung Truong; Alexander Jones; Ian Callanan; Scott Makeig (Neuroinformatics, 2022)

Deep learning applied to EEG data with different montages using spatial attention. - Dung Truong; Muhammad Abdullah Khalid; Arnaud Delorme (BIBM, 2023)

Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). - Kay Robbins; Dung Truong; Alexander Jones; Ian Callanan; Scott Makeig (Neuroinformatics, 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

Automatic EEG Independent Component Classification Using ICLabel in Python. - Arnaud Delorme; Dung Truong; Luca Pion-Tonachini; Scott Makeig (BIBM, 2024)

EEG-SSL: A Framework for Self-Supervised Learning on EEG. - Dung Truong; Muhammad Abdullah Khalid; Arnaud Delorme (BIBM, 2024)

An Empirical Study of a Shape-Adaptive Approach in Aerial Object Detection. - Nguyen Thanh Hiep; Toan Le; Quang Nguyen; Do Le-Huu; Huong-Giang Ngo; Dung Truong; Khang Nguyen 001 (ICCAIS, 2024)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)

From Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data. - Siwen Wang; Shitou Zhang; Wan-Lin Chen; Dung Truong; Tzyy-Ping Jung (CoRR, 2025)

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. - 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; et al. (CoRR, 2025)

Data Normalization Strategies for EEG Deep Learning. - Dung Truong; Arnaud Delorme (CoRR, 2025)