Dr Thin NguyenMy research outputs
Journal articles, conference papers and other peer-reviewed research outputs, grouped by year (most recent first). DOI links resolve to the publisher's record of each work.
2026
Causal Machine Learning for Understanding Heterogeneous Effects of Childhood Obesity Prevention
Nu Hoang, Khanh Toan Nguyen, Bao Duong, Melanie Nichols, Vicki Brown, Kathryn Backholer, Steven Allender, Thin Nguyen
Improving Heavy Metal Prediction Using Hybrid Feature Selection and Ensemble Learning with Multi-Source Remote Sensing in Red River Delta Mangroves, Vietnam
Nga Nhu Le, Tien Dat Pham, Neil Saintilan, Thin Nguyen, Thi Minh Hanh Pham, Thi Hong Van Le, Thi Viet Lien Nguyen, Thi Diu Dinh, Tien Duc Pham
TACO: TabPFN Augmented Causal Outcomes for Early Detection of Long COVID
Sindy Pinero, Xiaomei Li, Lin Liu, Jiuyong Li, Sang Hong Lee, Marnie Winter, Thin Nguyen, Junpeng Zhang, Thuc Duy Le
$f$-Divergence Self-Play for Tabular Anomaly Detection via Large Language Models
Hoang Tran Vuong, Linh Ngo Van, Dang Nguyen, Thin Nguyen, Phuoc Nguyen, Mehrtash Harandi, Trung Le
A Geometric Information Bottleneck for Activation Steering
Toan Doan, Thin Nguyen, Sunil Gupta
Causal Activation Steering via Sparse Mediation
Toan Doan, Uyen Le, Thin Nguyen
Causal Direct Preference Optimization for Language Model Alignment
Uyen Le, Thin Nguyen, Toan Nguyen, Toan Doan, Trung Le, Bac Le
Enhancing Model Explainability and Performance via Attention-guided Gradient Restriction
Chan Nguyen, Hung Le, Thin Nguyen
Universal Multi-Domain Translation via Diffusion Routers
Duc Kieu, Kien Do, Tuan Hoang, Thao Minh Le, Tung Kieu, Dang Nguyen, Thin Nguyen
2025
Improving Olive Yield Prediction Using Landsat Multispectral Data and Advanced Ensemble Learning in Tunisia
Mohamed Kefi, Tien Dat Pham, Thin Nguyen, Mark G Tjoelker, Viola Devasirvatham, Kenichi Kashiwagi
Integrative multi-omics framework for causal gene discovery in long COVID
Sindy Pinero, Xiaomei Li, Lin Liu, Jiuyong Li, Sang Hong Lee, Marnie Winter, Thin Nguyen, Junpeng Zhang, Thuc Duy Le
Omics-based computational approaches for biomarker identification, prediction, and treatment of Long COVID
Sindy Pinero, Xiaomei Li, Junpeng Zhang, Marnie Winter, Sang Hong Lee, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc Duy Le
Reinforcement Learning for Causal Discovery without Acyclicity Constraints
Bao Duong, Hung Le, Biwei Huang, Thin Nguyen
Amortized Conditional Independence Testing
Bao Duong, Nu Hoang, Thin Nguyen
Bidirectional Diffusion Bridge Models
Duc Kieu, Kien Do, Khanh Toan Nguyen, Dang Nguyen, Thin Nguyen
Causal Discovery via Bayesian Optimization
Bao Duong, Sunil Gupta, Thin Nguyen
Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee
Khoa Nguyen, Viet Huynh, Binh Tran, Tri Pham, Tin Huynh, Thin Nguyen
Identifying Causal Direction via Variational Bayesian Compression
Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
Neural Autoregressive Flows for Markov Boundary Learning
Khoa Nguyen, Bao Duong, Viet Huynh, Thin Nguyen
h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform
Khanh Toan Nguyen, Kien Do, Kieu Duc, Thin Nguyen
2024
Class-incremental learning with causal relational replay
Khanh Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le
Constraining Acyclicity of Differentiable Bayesian Structure Learning with Topological Ordering
Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
Normalizing Flows for Conditional Independence Testing
Bao Duong, Thin Nguyen
Utilising causal inference methods to estimate effects and strategise interventions in observational health data
Bao Duong, Manisha Senadeera, Khanh Toan Nguyen, Melanie Nichols, Kathryn Backholer, Steven Allender, Thin Nguyen
Domain Generalisation via Risk Distribution Matching
Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows
Nu Hoang, Bao Duong, Thin Nguyen
Generating Realistic Tabular Data with Large Language Model
Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh
Robust Estimation of Causal Heteroscedastic Noise Models
Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
Root Cause Explanation of Outliers under Noisy Mechanisms
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
Scalable Variational Causal Discovery Unconstrained by Acyclicity
Nu Hoang, Bao Duong, Thin Nguyen
2023
Explaining black box drug target prediction through model agnostic counterfactual samples
Minh-Tri Nguyen, Thomas P Quinn, Thin Nguyen, Truyen Tran
Learning to discover medicines
Minh-Tri Nguyen, Thin Nguyen, Truyen Tran
Causal Inference via Style Transfer for Out-of-distribution Generalisation
Khanh Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
Diffeomorphic information neural estimation
Bao Duong, Thin Nguyen
Differentiable Bayesian Structure Learning with Acyclicity Assurance
Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
Heteroscedastic Causal Structure Learning
Bao Duong, Thin Nguyen
2022
Deep auto-encoders with sequential learning for multimodal dimensional emotion recognition
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
GEFA: early fusion approach in drug-target affinity prediction
Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran
Graph convolutional networks for drug response prediction
Thanh-Tuan Nguyen, Giang Nguyen, Thin Nguyen, Duc-Hau Le
Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Prescriptive analytics with differential privacy
Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
Bivariate causal discovery via conditional divergence
Bao Duong, Thin Nguyen
Causality-aided recommendation systems
Tri Nguyen, Azhar Mohammed, Bao Duong, Thin Nguyen
Conditional independence testing via latent representation learning
Bao Duong, Thin Nguyen
Efficient classification with counterfactual reasoning and active learning
Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
Handling missing data with Markov boundary
Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen
2021
A graph-based approach for population health analysis using geo-tagged tweets
Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen
Crowdsourced mapping of unexplored target space of kinase inhibitors
Anna Cicho\'nska, Balaguru Ravikumar, Robert J. Allaway, Fangping Wan, Sungjoon Park, Olexandr Isayev, Shuya Li, Michael Mason, Andrew Lamb, Ziaurrehman Tanoli, others
Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
Adi L. Tarca, B\'alint \'Armin Pataki, Roberto Romero, Marina Sirota, Yuanfang Guan, Rintu Kutum, Nardhy Gomez-Lopez, Bogdan Done, Gaurav Bhatti, Thomas Yu, Gaia Andreoletti, Tinnakorn Chaiworapongsa, Sonia S. Hassan, Chaur-Dong Hsu, Nima Aghaeepour, Gustavo Stolovitzky, Istvan Csabai, James C. Costello
Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19 virus)
Thanh Thi Nguyen, Pubudu N Pathirana, Thin Nguyen, Henry Nguyen, Asim Bhatti, Dinh C Nguyen, Dung Tien Nguyen, Ngoc Duy Nguyen, Douglas Creighton, Mohamed Abdelrazek
GraphDTA: Predicting drug--target binding affinity with graph neural networks
Thin Nguyen, Hang Le, Thomas P Quinn, Tri Minh Nguyen, Thuc Duy Le, Svetha Venkatesh
PAN: Personalized Annotation-based Networks for the prediction of breast cancer relapse
Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le
The relationship between linguistic expression in blog content and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study
Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen
The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge
Vu V H Pham, Xiaomei Li, Buu Truong, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc D Le
pDriver: A novel method for unravelling personalized coding and miRNA cancer drivers
Vu V H Pham, Lin Liu, Cameron P Bracken, Thin Nguyen, Gregory J Goodall, Jiuyong Li, Thuc D Le
Counterfactual explanation with multi-agent reinforcement learning for drug target prediction
Tri Minh Nguyen, Thomas P Quinn, Thin Nguyen, Truyen Tran
2020
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
Jovan Tanevski, Thin Nguyen, Buu Truong, Nikos Karaiskos, Mehmet Eren Ahsen, Xinyu Zhang, Chang Shu, Ke Xu, Xiaoyu Liang, Ying Hu, Hoang VV Pham, Li Xiaomei, Thuc D Le, Adi L Tarca, Gaurav Bhatti, Roberto Romero, Nestoras Karathanasis, Phillipe Loher, Yang Chen, Zhengqing Ouyang, Disheng Mao, Yuping Zhang, Maryam Zand, Jianhua Ruan, Christoph Hafemeister, Peng Qiu, Duc Tran, Tin Nguyen, Attila Gabor, Thomas Yu, Justin Guinney, Enrico Glaab, Roland Krause, Peter Banda, DREAM SCTC Consortium, Gustavo Stolovitzky, Nikolaus Rajewsky, Julio Saez-Rodriguez, Pablo Meyer
Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions
Thin Nguyen, Sunil Gupta, Jaishankar Raman, Rinaldo Bellomo, Svetha Venkatesh
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices
Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Hung Nguyen, Duc Thanh Nguyen, John Yearwood, Dinh Phung, Svetha Venkatesh, Helen Christensen
Computational methods for predicting Autism Spectrum Disorder from gene expression data
Junpeng Zhang, Thin Nguyen, Buu Truong, Lin Liu, Jiuyong Li, Thuc D. Le
MrPC: Causal structure learning in distributed systems
Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh
2019
A cross-cancer metastasis signature in the microRNA--mRNA axis of paired tissue samples
Samuel C. Lee, Alistair Quinn, Thin Nguyen, Svetha Venkatesh, Thomas P. Quinn
An empirical study on prediction of population health through social media
Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen
Attentional multilabel learning over graphs: a message passing approach
Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
Cancer as a tissue anomaly: classifying tumor transcriptomes based only on healthy data
Thomas P. Quinn, Thin Nguyen, Samuel C. Lee, Svetha Venkatesh
Improving the classification of neuropsychiatric conditions using gene ontology terms as features
Thomas P. Quinn, Samuel C. Lee, Svetha Venkatesh, Thin Nguyen
Solving for X: Evidence for sex-specific autism biomarkers across multiple transcriptomic studies
Samuel C. Lee, Thomas P. Quinn, Jerry Lai, Sek Won Kong, Irva Hertz-Picciotto, Stephen J. Glatt, Tamsyn M. Crowley, Svetha Venkatesh, Thin Nguyen
Estimating county health indices using graph neural networks
Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
SPDF: Set probabilistic distance features for prediction of population health outcomes via social media
Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
2018
Academia versus social media: A psycho-linguistic analysis
Thin Nguyen, Svetha Venkatesh, Dinh Phung
Improving Chamfer template matching using image segmentation
Duc Thanh Nguyen, Ngoc-Son Vu, Thanh-Toan Do, Thin Nguyen, John Yearwood
Differentially private prescriptive analytics
Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
Jointly predicting affective and mental health scores using deep neural networks of visual cues on the Web
Hung Nguyen, Van Nguyen, Thin Nguyen, Mark Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Phung, Svetha Venkatesh, Helen Christensen
Prescriptive analytics through constrained Bayesian optimization
Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
Variational memory encoder-decoder
Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2017
Estimation of the prevalence of adverse drug reactions from social media
Thin Nguyen, Mark Larsen, Bridianne O'Dea, Dinh Phung, Svetha Venkatesh, Helen Christensen
Kernel-based features for predicting population health indices from geocoded social media data
Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, John Yearwood, Dinh Phung, Svetha Venkatesh, Helen Christensen
Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities
Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Phung
Using linguistic and topic analysis to classify sub-groups of online depression communities
Thin Nguyen, Bridianne O'Dea, Mark Larsen, Dinh Phung, Svetha Venkatesh, Helen Christensen
Animal recognition and identification with deep convolutional neural networks for automated wildlife monitoring
Hung Nguyen, Sarah J. Maclagan, Tu Dinh Nguyen, Thin Nguyen, Paul Flemons, Kylie Andrews, Euan G. Ritchie, Dinh Phung
Estimating support scores of autism communities in large-scale Web information systems
Thin Nguyen, Hung Nguyen, Svetha Venkatesh, Dinh Phung
Prediction of population health indices from social media using kernel-based textual and temporal features
Thin Nguyen, Duc Thanh Nguyen, Mark E. Larsen, Bridianne O'Dea, John Yearwood, Dinh Phung, Svetha Venkatesh, Helen Christensen
2016
A framework for classifying online mental health-related communities with an interest in depression
Budhaditya Saha, Thin Nguyen, Dinh Phung, Svetha Venkatesh
Discovering latent affective dynamics among individuals in online mental health-related communities
Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Phung
Discriminative cues for different stages of smoking cessation in online community
Thin Nguyen, Ron Borland, John Yearwood, Hua Yong, Svetha Venkatesh, Dinh Phung
Effect of social capital on emotion, language style and latent topics in online depression community
Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Phung
Extracting key challenges in achieving sobriety through shared subspace learning
Haripriya Harikumar, Thin Nguyen, Santu Rana, Sunil Gupta, Ramachandra Kaimal, Svetha Venkatesh
Large-scale stylistic analysis of formality in academia and social media
Thin Nguyen, Svetha Venkatesh, Dinh Phung
Textual cues for online depression in community and personal settings
Thin Nguyen, Svetha Venkatesh, Dinh Phung
Understanding behavioral differences between short and long-term drinking abstainers from social media
Haripriya Harikumar, Thin Nguyen, Sunil Gupta, Santu Rana, Ramachandra Kaimal, Svetha Venkatesh
2015
Autism blogs: Expressed emotion, language styles and concerns in personal and community settings
Thin Nguyen, Thi Duong, Svetha Venkatesh, Dinh Phung
Is demography destiny? Application of machine learning techniques to accurately predict population health outcomes from a minimal demographic dataset
Wei Luo, Thin Nguyen, Melanie Nichols, Truyen Tran, Santu Rana, Sunil Gupta, Dinh Phung, Svetha Venkatesh, Steve Allender
Web search activity data accurately predict population chronic disease risk in the USA
Thin Nguyen, Truyen Tran, Wei Luo, Sunil Gupta, Santu Rana, Dinh Phung, Melanie Nichols, Lynne Millar, Svetha Venkatesh, Steve Allender
Differentiating sub-groups of online depression-related communities using textual cues
Thin Nguyen, Bridianne O'Dea, Mark Larsen, Dinh Phung, Svetha Venkatesh, Helen Christensen
Nonparametric discovery of online mental health-related communities
Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Phung
2014
Affective and content analysis of online depression communities
Thin Nguyen, Dinh Phung, Bo Dao, Svetha Venkatesh, Michael Berk
Mood sensing from social media texts and its applications
Thin Nguyen, Dinh Phung, Brett Adams, Svetha Venkatesh
Affective, linguistic and topic patterns in online autism communities
Thin Nguyen, Thi Duong, Dinh Phung, Svetha Venkatesh
Analysis of circadian rhythms from online communities of individuals with affective disorders
Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Phung
Effect of mood, social connectivity and age in online depression community via topic and linguistic analysis
Bo Dao, Thin Nguyen, Dinh Phung, Svetha Venkatesh
iPoll: Automatic polling using online search
Thin Nguyen, Dinh Phung, Wei Luo, Truyen Tran, Svetha Venkatesh
2013
Connectivity, online social capital, and mood: A Bayesian nonparametric analysis
Dinh Phung, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
Event extraction using behaviors of sentiment signals and burst structure in social media
Thin Nguyen, Dinh Phung, Brett Adams, Svetha Venkatesh
Analysis of psycholinguistic processes and topics in online autism communities
Thin Nguyen, Dinh Phung, Svetha Venkatesh
Online social capital: Mood, topical and psycholinguistic analysis
Thin Nguyen, Bo Dao, Dinh Phung, Svetha Venkatesh, Michael Berk
2012
A sentiment-aware approach to community formation in social media
Thin Nguyen, Dinh Phung, Brett Adams, Svetha Venkatesh
Emotional reactions to real-world events in social networks
Thin Nguyen, Dinh Phung, Brett Adams, Svetha Venkatesh
2011
Prediction of age, sentiment, and connectivity from social media text
Thin Nguyen, Dinh Phung, Brett Adams, Svetha Venkatesh
Towards discovery of influence and personality traits through social link prediction
Thin Nguyen, Dinh Phung, Brett Adams, Svetha Venkatesh
2010
Classification and pattern discovery of mood in weblogs
Thin Nguyen, Dinh Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
Hyper-community detection in the blogosphere
Thin Nguyen, Dinh Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
Mood patterns and affective lexicon access in weblogs
Thin Nguyen