Search Results for author: Minh Nguyen

Found 34 papers, 15 papers with code

Event Causality Identification via Generation of Important Context Words

1 code implementation *SEM (NAACL) 2022 Hieu Man, Minh Nguyen, Thien Nguyen

To facilitate the multi-task learning, we cast ECI into a generation problem that aims to generate both causal relation and dependency path words from input sentence.

Event Causality Identification Multi-Task Learning +3

Improving Named Entity Recognition in Spoken Dialog Systems by Context and Speech Pattern Modeling

no code implementations SIGDIAL (ACL) 2021 Minh Nguyen, Zhou Yu

Deployed spoken dialog systems receive user input in the form of automatic speech recognition (ASR) transcripts, and simply applying NER model trained on written text to ASR transcripts often leads to low accuracy because compared to written text, ASR transcripts lack important cues such as punctuation and capitalization.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

DPO: Differential reinforcement learning with application to optimal configuration search

no code implementations24 Apr 2024 Chandrajit Bajaj, Minh Nguyen

Reinforcement learning (RL) with continuous state and action spaces remains one of the most challenging problems within the field.

Benchmarking reinforcement-learning +1

Motion Code: Robust Time series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning

1 code implementation21 Feb 2024 Chandrajit Bajaj, Minh Nguyen

Instead of treating time series as a static vector or a data sequence as often seen in previous methods, we introduce a novel framework that considers each time series, not necessarily of fixed length, as a sample realization of a continuous-time stochastic process.

Gaussian Processes Time Series +1

Robust Learning via Conditional Prevalence Adjustment

1 code implementation24 Oct 2023 Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu

CoPA assumes that (1) generation mechanism is stable, i. e. label Y and confounding variable(s) Z generate X, and (2) the unstable conditional prevalence in each site E fully accounts for the unstable correlations between X and Y .

Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes

no code implementations21 Oct 2023 Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu

Given sufficient pairs of resting-state and task-evoked fMRI scans from subjects, it is possible to train ML models to predict subject-specific task-evoked activity using resting-state functional MRI (rsfMRI) scans.

Zero-Shot Learning

Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input

1 code implementation21 Oct 2023 Minh Nguyen, Nancy F. Chen

NLP models excel on tasks with clean inputs, but are less accurate with noisy inputs.

Solving the Side-Chain Packing Arrangement of Proteins from Reinforcement Learned Stochastic Decision Making

no code implementations6 Dec 2022 Chandrajit Bajaj, Conrad Li, Minh Nguyen

In this paper, we develop a reinforcement learning (RL) framework in a continuous setting and based on a stochastic parametrized Hamiltonian version of the Pontryagin maximum principle (PMP) to solve the side-chain packing and protein-folding problem.

Decision Making Protein Folding +3

A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography

1 code implementation30 Oct 2022 Rey Mendoza, Minh Nguyen, Judith Weng Zhu, Vincent Dumont, Talita Perciano, Juliane Mueller, Vidya Ganapati

However, obtaining high-quality object reconstructions for the training dataset requires high x-ray dose measurements that can destroy or alter the specimen before imaging is complete.

Object Probabilistic Deep Learning

GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Studies

no code implementations13 Oct 2022 Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu

We call our approach GLACIAL, which stands for "Granger and LeArning-based CausalIty Analysis for Longitudinal studies."

MTet: Multi-domain Translation for English and Vietnamese

2 code implementations11 Oct 2022 Chinh Ngo, Trieu H. Trinh, Long Phan, Hieu Tran, Tai Dang, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong

We introduce MTet, the largest publicly available parallel corpus for English-Vietnamese translation.

 Ranked #1 on Machine Translation on IWSLT2015 English-Vietnamese (using extra training data)

Machine Translation +2

A Transformer-based Neural Language Model that Synthesizes Brain Activation Maps from Free-Form Text Queries

no code implementations24 Jul 2022 Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu

In this paper, we present Text2Brain, an easy to use tool for synthesizing brain activation maps from open-ended text queries.

Language Modelling

Folding over Neural Networks

no code implementations3 Jul 2022 Minh Nguyen, Nicolas Wu

Neural networks are typically represented as data structures that are traversed either through iteration or by manual chaining of method calls.

MTet: Multi-domain Translation for English-Vietnamese

1 code implementation Blog 2022 Chinh Ngo, Hieu Tran, Long Phan, Trieu H. Trinh, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong

We are excited to introduce a new larger and better quality Machine Translation dataset, MTet, which stands for Multi-domain Translation for English and VieTnamese.

Machine Translation Sentence +1

MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks

1 code implementation12 Jan 2022 Ekrem Çetinkaya, Minh Nguyen, Christian Timmerer

In this paper, we propose an open-source mobile platform, namely MoViDNN, to evaluate DNN based video quality enhancement methods, such as super-resolution, denoising, and deblocking.

Denoising SSIM +1

Physics-informed neural networks via stochastic Hamiltonian dynamics learning

1 code implementation15 Nov 2021 Chandrajit Bajaj, Minh Nguyen

In this paper, we propose novel learning frameworks to tackle optimal control problems by applying the Pontryagin maximum principle and then solving for a Hamiltonian dynamical system.


Text2Brain: Synthesis of Brain Activation Maps from Free-form Text Query

2 code implementations28 Sep 2021 Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu

In this work, we propose Text2Brain, a neural network approach for coordinate-based meta-analysis of neuroimaging studies to synthesize brain activation maps from open-ended text queries.

CovRelex: A COVID-19 Retrieval System with Relation Extraction

no code implementations EACL 2021 Vu Tran, Van-Hien Tran, Phuong Nguyen, Chau Nguyen, Ken Satoh, Yuji Matsumoto, Minh Nguyen

This paper presents CovRelex, a scientific paper retrieval system targeting entities and relations via relation extraction on COVID-19 scientific papers.

Relation Relation Extraction +1

A Pipeline to Understand Emerging Illness via Social Media Data Analysis: A Case Study on Breast Implant Illness

no code implementations25 Aug 2020 Vishal Dey, Peter Krasniak, Minh Nguyen, Clara Lee, Xia Ning

Our study provides the first analysis and derived knowledge of BII from social media using NLP techniques, and demonstrates the potential of using social media information to better understand similar emerging illnesses.

Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking

no code implementations3 Jul 2020 Quang Truong, Hy Dang, Zhankai Ye, Minh Nguyen, Bo Mei

Vehicle Re-identification is a challenging task due to intra-class variability and inter-class similarity across non-overlapping cameras.

Re-Ranking Vehicle Re-Identification

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

4 code implementations9 Feb 2020 Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Arman Eshaghi, Tina Toni, Marcin Salaterski, Veronika Lunina, Manon Ansart, Stanley Durrleman, Pascal Lu, Samuel Iddi, Dan Li, Wesley K. Thompson, Michael C. Donohue, Aviv Nahon, Yarden Levy, Dan Halbersberg, Mariya Cohen, Huiling Liao, Tengfei Li, Kaixian Yu, Hongtu Zhu, Jose G. Tamez-Pena, Aya Ismail, Timothy Wood, Hector Corrada Bravo, Minh Nguyen, Nanbo Sun, Jiashi Feng, B. T. Thomas Yeo, Gang Chen, Ke Qi, Shiyang Chen, Deqiang Qiu, Ionut Buciuman, Alex Kelner, Raluca Pop, Denisa Rimocea, Mostafa M. Ghazi, Mads Nielsen, Sebastien Ourselin, Lauge Sorensen, Vikram Venkatraghavan, Keli Liu, Christina Rabe, Paul Manser, Steven M. Hill, James Howlett, Zhiyue Huang, Steven Kiddle, Sach Mukherjee, Anais Rouanet, Bernd Taschler, Brian D. M. Tom, Simon R. White, Noel Faux, Suman Sedai, Javier de Velasco Oriol, Edgar E. V. Clemente, Karol Estrada, Leon Aksman, Andre Altmann, Cynthia M. Stonnington, Yalin Wang, Jianfeng Wu, Vivek Devadas, Clementine Fourrier, Lars Lau Raket, Aristeidis Sotiras, Guray Erus, Jimit Doshi, Christos Davatzikos, Jacob Vogel, Andrew Doyle, Angela Tam, Alex Diaz-Papkovich, Emmanuel Jammeh, Igor Koval, Paul Moore, Terry J. Lyons, John Gallacher, Jussi Tohka, Robert Ciszek, Bruno Jedynak, Kruti Pandya, Murat Bilgel, William Engels, Joseph Cole, Polina Golland, Stefan Klein, Daniel C. Alexander

TADPOLE's unique results suggest that current prediction algorithms provide sufficient accuracy to exploit biomarkers related to clinical diagnosis and ventricle volume, for cohort refinement in clinical trials for Alzheimer's disease.

Alzheimer's Disease Detection Disease Prediction

Hierarchical Character Embeddings: Learning Phonological and Semantic Representations in Languages of Logographic Origin using Recursive Neural Networks

1 code implementation20 Dec 2019 Minh Nguyen, Gia H. Ngo, Nancy F. Chen

Using recursive neural network imposes a prior on the mapping from logographs to embeddings since the network must read in the sub-units in logographs according to the order specified by the recursive structures.

Language Modelling

Isolating the Effects of Modeling Recursive Structures: A Case Study in Pronunciation Prediction of Chinese Characters

no code implementations WS 2019 Minh Nguyen, Gia H. Ngo, Nancy Chen

Finding that explicitly modeling structures leads to better generalization, we consider the task of predicting Cantonese pronunciations of logographs (Chinese characters) using logographs{'} recursive structures.

Phonology-Augmented Statistical Framework for Machine Transliteration using Limited Linguistic Resources

no code implementations7 Oct 2018 Gia H. Ngo, Minh Nguyen, Nancy F. Chen

The problem is compounded by the limited linguistic resources available when converting foreign words to transliterated words in the target language.


Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs

no code implementations COLING 2018 Minh Nguyen, Thien Huu Nguyen

The early work in this field \cite{keith2017identifying} proposed a distant supervision framework based on Expectation Maximization (EM) to deal with the multiple appearances of the names in documents.

m-TSNE: A Framework for Visualizing High-Dimensional Multivariate Time Series

no code implementations26 Aug 2017 Minh Nguyen, Sanjay Purushotham, Hien To, Cyrus Shahabi

Multivariate time series (MTS) have become increasingly common in healthcare domains where human vital signs and laboratory results are collected for predictive diagnosis.

Time Series Time Series Analysis +1

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