Strategies for Vietnamese keyword search. - Nancy F. Chen; Sunil Sivadas; Boon Pang Lim; Hoang Gia Ngo; Haihua Xu 001; Van Tung Pham; Bin Ma 001; Haizhou Li 001 (ICASSP, 2014)

A minimal-resource transliteration framework for vietnamese. - Hoang Gia Ngo; Nancy F. Chen; Sunil Sivadas; Bin Ma 001; Haizhou Li 001 (INTERSPEECH, 2014)

Phonology-augmented statistical transliteration for low-resource languages. - Hoang Gia Ngo; Nancy F. Chen; Binh Minh Nguyen; Bin Ma 001; Haizhou Li 001 (INTERSPEECH, 2015)

Regulating Orthography-Phonology Relationship for English to Thai Transliteration. - Binh Minh Nguyen; Hoang Gia Ngo; Nancy F. Chen (NEWS@ACM, 2016)

Collapsed variational bayesian inference of the author-topic model: application to large-scale coordinate-based meta-analysis. - Hoang Gia Ngo; Simon B. Eickhoff; Peter T. Fox; B. T. Thomas Yeo (PRNI, 2016)

Statistical Machine Transliteration Baselines for NEWS 2018. - Snigdha Singhania; Minh Nguyen 002; Hoang Gia Ngo; Nancy F. Chen (NEWS@ACL, 2018)

Multimodal neural pronunciation modeling for spoken languages with logographic origin. - Minh Nguyen 002; Hoang Gia Ngo; Nancy F. Chen (EMNLP, 2018)

Machine learning in resting-state fMRI analysis. - Meenakshi Khosla; Keith Jamison; Gia H. Ngo; Amy Kuceyeski; Mert R. Sabuncu (CoRR, 2018)

Isolating the Effects of Modeling Recursive Structures: A Case Study in Pronunciation Prediction of Chinese Characters. - Minh Nguyen 002; Gia H. Ngo; Nancy F. Chen (WNLP@ACL, 2019)

Beyond consensus: Embracing heterogeneity in curated neuroimaging meta-analysis. - Hoang Gia Ngo; Simon B. Eickhoff; Minh Nguyen 002; Gunes Sevinc; Peter T. Fox; R. Nathan Spreng; B. T. Thomas Yeo (NeuroImage, 2019)

Phonology-Augmented Statistical Framework for Machine Transliteration Using Limited Linguistic Resources. - Hoang Gia Ngo; Minh Nguyen 002; Nancy F. Chen (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response. - Meenakshi Khosla; Gia H. Ngo; Keith Jamison; Amy Kuceyeski; Mert R. Sabuncu (MICCAI (7), 2020)

From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity. - Gia H. Ngo; Meenakshi Khosla; Keith Jamison; Amy Kuceyeski; Mert R. Sabuncu (MICCAI (7), 2020)

Neural encoding with visual attention. - Meenakshi Khosla; Gia H. Ngo; Keith Jamison; Amy Kuceyeski; Mert R. Sabuncu (NeurIPS, 2020)

Adaptable Filtering using Hierarchical Embeddings for Chinese Spell Check. - Minh Nguyen 002; Gia H. Ngo; Nancy F. Chen (CoRR, 2020)

Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin Using Recursive Neural Networks. - Minh Nguyen 002; Gia H. Ngo; Nancy F. Chen (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Explanations in Predictive Analytics: Case Studies. - Jiewen Wu; Minh Nguyen 002; Gia H. Ngo; Nancy F. Chen (Knowledge Graphs for eXplainable Artificial Intelligence, 2020)

Text2Brain: Synthesis of Brain Activation Maps from Free-Form Text Query. - Gia H. Ngo; Minh Nguyen 002; Nancy F. Chen; Mert R. Sabuncu (MICCAI (7), 2021)

Domain-Shift Conditioning Using Adaptable Filtering Via Hierarchical Embeddings for Robust Chinese Spell Check. - Minh Nguyen 002; Gia H. Ngo; Nancy F. Chen (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies. - Minh Nguyen 002; Gia H. Ngo; Mert R. Sabuncu (CoRR, 2022)

A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries. - Gia H. Ngo; Minh Nguyen 002; Nancy F. Chen; Mert R. Sabuncu (Medical Image Anal., 2022)

Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network. - Gia H. Ngo; Meenakshi Khosla; Keith Jamison; Amy Kuceyeski; Mert R. Sabuncu (NeuroImage, 2022)

Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes. - Minh Nguyen 002; Gia H. Ngo; Mert R. Sabuncu (DALI@MICCAI, 2023)

Consumer-friendly EEG-based Emotion Recognition System: A Multi-scale Convolutional Neural Network Approach. - Tri Duc Ly; Gia H. Ngo (CoRR, 2025)