Minh Nguyen

35 papers A* 2A 1Journal 25Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Deep Survival Model for Predicting Alzheimer's Diagnosis Based on Multi-Modal Longitudinal Data.
Big Data Min. Anal.
Batuhan K. Karaman, Minh Nguyen, Heejong Kim, Mert R. Sabuncu
2025 J jnl
Knockout: A simple way to handle missing inputs.
Trans. Mach. Learn. Res.
Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu
2024 — conf
Adapting to Shifting Correlations with Unlabeled Data Calibration.
ECCV (87)
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2024 J jnl
Adapting to Shifting Correlations with Unlabeled Data Calibration.
CoRR
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2024 J jnl
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models.
CoRR
Heejong Kim, Léo Milecki, Mina C. Moghadam, Fengbei Liu, Minh Nguyen, Eric Qiu, Abhishek Thanki, Mert R. Sabuncu
2024 J jnl
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing.
CoRR
Minh Nguyen, Mert R. Sabuncu
2024 J jnl
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing.
Trans. Mach. Learn. Res.
Minh Nguyen, Mert R. Sabuncu
2024 J jnl
Knockout: A simple way to handle missing inputs.
CoRR
Minh Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu
2024 A conf
Robust Learning via Conditional Prevalence Adjustment.
WACV
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2023 J jnl
Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input.
CoRR
Minh Nguyen, Nancy F. Chen
2023 A* conf
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head.
NeurIPS
Alan Q. Wang, Minh Nguyen, Mert R. Sabuncu
2023 J jnl
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head.
CoRR
Alan Q. Wang, Minh Nguyen, Mert R. Sabuncu
2023 J jnl
Robust Learning via Conditional Prevalence Adjustment.
CoRR
Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
2023 — conf
Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes.
DALI@MICCAI
Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
2023 J jnl
Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes.
CoRR
Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
2022 J jnl
A Transformer-based Neural Language Model that Synthesizes Brain Activation Maps from Free-Form Text Queries.
CoRR
Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
2022 J jnl
A transformer-Based neural language model that synthesizes brain activation maps from free-form text queries.
Medical Image Anal.
Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
2022 J jnl
GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies.
CoRR
Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
2021 J jnl
Domain-Shift Conditioning Using Adaptable Filtering Via Hierarchical Embeddings for Robust Chinese Spell Check.
IEEE ACM Trans. Audio Speech Lang. Process.
Minh Nguyen, Gia H. Ngo, Nancy F. Chen
2021 — conf
Text2Brain: Synthesis of Brain Activation Maps from Free-Form Text Query.
MICCAI (7)
Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
2021 J jnl
Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query.
CoRR
Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
2020 J jnl
Adaptable Filtering using Hierarchical Embeddings for Chinese Spell Check.
CoRR
Minh Nguyen, Gia H. Ngo, Nancy F. Chen
2020 J jnl
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.
NeuroImage
Tong He, Ru Kong, Avram J. Holmes, Minh Nguyen, Mert R. Sabuncu, Simon B. Eickhoff, Danilo Bzdok, Jiashi Feng, B. T. Thomas Yeo
2020 — ch.
Explanations in Predictive Analytics: Case Studies.
Knowledge Graphs for eXplainable Artificial Intelligence
Jiewen Wu, Minh Nguyen, Gia H. Ngo, Nancy F. Chen
2020 J jnl
Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin Using Recursive Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process.
Minh Nguyen, Gia H. Ngo, Nancy F. Chen
2020 J jnl
Predicting Alzheimer's disease progression using deep recurrent neural networks.
NeuroImage
Minh Nguyen, Tong He, Lijun An, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo
2019 J jnl
Beyond consensus: Embracing heterogeneity in curated neuroimaging meta-analysis.
NeuroImage
Hoang Gia Ngo, Simon B. Eickhoff, Minh Nguyen, Gunes Sevinc, Peter T. Fox, R. Nathan Spreng, B. T. Thomas Yeo
2019 J jnl
Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks.
CoRR
Minh Nguyen, Gia H. Ngo, Nancy F. Chen
2019 — conf
Isolating the Effects of Modeling Recursive Structures: A Case Study in Pronunciation Prediction of Chinese Characters.
WNLP@ACL
Minh Nguyen, Gia H. Ngo, Nancy F. Chen
2019 J jnl
Phonology-Augmented Statistical Framework for Machine Transliteration Using Limited Linguistic Resources.
IEEE ACM Trans. Audio Speech Lang. Process.
Hoang Gia Ngo, Minh Nguyen, Nancy F. Chen
2018 — conf
Modeling Alzheimer's disease progression using deep recurrent neural networks.
PRNI
Minh Nguyen, Nanbo Sun, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo
2018 A* conf
Multimodal neural pronunciation modeling for spoken languages with logographic origin.
EMNLP
Minh Nguyen, Hoang Gia Ngo, Nancy F. Chen
2018 J jnl
Multimodal neural pronunciation modeling for spoken languages with logographic origin.
CoRR
Minh Nguyen, Hoang Gia Ngo, Nancy F. Chen
2018 J jnl
Phonology-Augmented Statistical Framework for Machine Transliteration using Limited Linguistic Resources.
CoRR
Hoang Gia Ngo, Minh Nguyen, Nancy F. Chen
2018 — conf
Statistical Machine Transliteration Baselines for NEWS 2018.
NEWS@ACL
Snigdha Singhania, Minh Nguyen, Hoang Gia Ngo, Nancy F. Chen