Thin Nguyen

According to our database, Thin Nguyen authored at least 86 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Constraining acyclicity of differentiable Bayesian structure learning with topological ordering.

Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen

Knowl. Inf. Syst., September, 2024

Normalizing flows for conditional independence testing.

Bao Duong, Thin Nguyen

Knowl. Inf. Syst., January, 2024

Class-incremental learning with causal relational replay.

Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le

Expert Syst. Appl., 2024

Generating Realistic Tabular Data with Large Language Models.

Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh

CoRR, 2024

ALIAS: DAG Learning with Efficient Unconstrained Policies.

Bao Duong, Hung Le, Thin Nguyen

CoRR, 2024

Variational Flow Models: Flowing in Your Style.

Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen

CoRR, 2024

Domain Generalisation via Risk Distribution Matching.

Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Robust Estimation of Causal Heteroscedastic Noise Models.

Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Scalable Variational Causal Discovery Unconstrained by Acyclicity.

Nu Hoang, Bao Duong, Thin Nguyen

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows.

Nu Hoang, Bao Duong, Thin Nguyen

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Root Cause Explanation of Outliers under Noisy Mechanisms.

Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning to discover medicines.

Tri Minh Nguyen, Thin Nguyen, Truyen Tran

Int. J. Data Sci. Anal., September, 2023

Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples.

Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Causal Inference via Style Transfer for Out-of-distribution Generalisation.

Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Differentiable Bayesian Structure Learning with Acyclicity Assurance.

Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen

Proceedings of the IEEE International Conference on Data Mining, 2023

Heteroscedastic Causal Structure Learning.

Bao Duong, Thin Nguyen

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Diffeomorphic Information Neural Estimation.

Bao Duong, Thin Nguyen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

IEEE Trans. Multim., 2022

Graph Convolutional Networks for Drug Response Prediction.

Tuan Nguyen, Giang T. T. Nguyen, Thin Nguyen, Duc-Hau Le

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

GEFA: Early Fusion Approach in Drug-Target Affinity Prediction.

Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Prescriptive analytics with differential privacy.

Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh

Int. J. Data Sci. Anal., 2022

Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation.

Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen

CoRR, 2022

Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring.

Tri Minh Nguyen, Thin Nguyen, Truyen Tran

Briefings Bioinform., 2022

Causality-aided Recommendation Systems.

Tri Minh Nguyen, Azhar Mohammed, Bao Duong, Thin Nguyen

Proceedings of the International Joint Conference on Neural Networks, 2022

Conditional Independence Testing via Latent Representation Learning.

Bao Duong, Thin Nguyen

Proceedings of the IEEE International Conference on Data Mining, 2022

Bivariate Causal Discovery via Conditional Divergence.

Bao Duong, Thin Nguyen

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Handling Missing Data with Markov Boundary.

Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Efficient Classification with Counterfactual Reasoning and Active Learning.

Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse.

Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A graph-based approach for population health analysis using Geo-tagged tweets.

Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen

Multim. Tools Appl., 2021

Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction.

Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran

CoRR, 2021

pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers.

Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le

Bioinform., 2021

GraphDTA: predicting drug-target binding affinity with graph neural networks.

Thin Nguyen, Hang Le, Thomas P. Quinn, Tri Nguyen, Thuc Duy Le, Svetha Venkatesh

Bioinform., 2021

The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge.

Vu Viet Hoang Pham, Xiaomei Li, Buu Minh Thanh Truong, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc Duy Le

Briefings Bioinform., 2021

2020

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 Quoc Phung, Svetha Venkatesh, Helen Christensen

Future Gener. Comput. Syst., 2020

MrPC: Causal Structure Learning in Distributed Systems.

Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data.

Junpeng Zhang, Thin Nguyen, Buu Minh Thanh Truong, Lin Liu, Jiuyong Li, Thuc Duy Le

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019

Attentional multilabel learning over graphs: a message passing approach.

Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh

Mach. Learn., 2019

An empirical study on prediction of population health through social media.

Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen

J. Biomed. Informatics, 2019

Estimating County Health Indices Using Graph Neural Networks.

Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen

Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media.

Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen

Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

2018

The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content.

Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen

Dataset, November, 2018

Improving the classification of neuropsychiatric conditions using gene ontology terms as features: Figure Data.

Thomas P. Quinn, Samuel C. Lee, Svetha Venkatesh, Thin Nguyen

Dataset, August, 2018

Improving the classification of neuropsychiatric conditions using gene ontology terms as features: Figure Data.

Thomas P. Quinn, Samuel C. Lee, Svetha Venkatesh, Thin Nguyen

Dataset, August, 2018

Improving Chamfer Template Matching Using Image Segmentation.

Duc Thanh Nguyen, Ngoc-Son Vu, Thanh-Toan Do, Thin Nguyen, John Yearwood

IEEE Signal Process. Lett., 2018

Academia versus social media: A psycho-linguistic analysis.

Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung

J. Comput. Sci., 2018

The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content.

Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen

CoRR, 2018

Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web.

Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen

Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Prescriptive Analytics Through Constrained Bayesian Optimization.

Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Variational Memory Encoder-Decoder.

Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Differentially Private Prescriptive Analytics.

Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Using linguistic and topic analysis to classify sub-groups of online depression communities.

Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen

Multim. Tools Appl., 2017

Estimation of the prevalence of adverse drug reactions from social media.

Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen

Int. J. Medical Informatics, 2017

Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities.

Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung

Int. J. Data Sci. Anal., 2017

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 Q. Phung, Svetha Venkatesh, Helen Christensen

Decis. Support Syst., 2017

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 Q. Phung, Svetha Venkatesh, Helen Christensen

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems.

Thin Nguyen, Nguyen Hung, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

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 Q. Phung

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016

A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression.

Budhaditya Saha, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh

IEEE J. Biomed. Health Informatics, 2016

Large-Scale Stylistic Analysis of Formality in Academia and Social Media.

Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Discriminative Cues for Different Stages of Smoking Cessation in Online Community.

Thin Nguyen, Ron Borland, John Yearwood, Hua-Hie Yong, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Effect of social capital on emotion, language style and latent topics in online depression community.

Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016

Discovering latent affective dynamics among individuals in online mental health-related communities.

Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Textual Cues for Online Depression in Community and Personal Settings.

Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning.

Haripriya Harikumar, Thin Nguyen, Santu Rana, Sunil Gupta, Ramachandra Kaimal, Svetha Venkatesh

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

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

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015

Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings.

Thin Nguyen, Thi V. Duong, Svetha Venkatesh, Dinh Q. Phung

IEEE Trans. Affect. Comput., 2015

Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues.

Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Nonparametric discovery of online mental health-related communities.

Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Affective and Content Analysis of Online Depression Communities.

Thin Nguyen, Dinh Q. Phung, Bo Dao, Svetha Venkatesh, Michael Berk

IEEE Trans. Affect. Comput., 2014

Mood sensing from social media texts and its applications.

Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh

Knowl. Inf. Syst., 2014

iPoll: Automatic Polling Using Online Search.

Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh

Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Affective, Linguistic and Topic Patterns in Online Autism Communities.

Thin Nguyen, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis.

Bo Dao, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Analysis of circadian rhythms from online communities of individuals with affective disorders.

Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013

Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis.

Dinh Q. Phung, Sunil Kumar Gupta, Thin Nguyen, Svetha Venkatesh

IEEE Trans. Multim., 2013

Event extraction using behaviors of sentiment signals and burst structure in social media.

Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh

Knowl. Inf. Syst., 2013

Online Social Capital: Mood, Topical and Psycholinguistic Analysis.

Thin Nguyen, Bo Dao, Dinh Quoc Phung, Svetha Venkatesh, Michael Berk

Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Analysis of psycholinguistic processes and topics in online autism communities.

Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

2012

A Sentiment-Aware Approach to Community Formation in Social Media.

Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh

Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

2011

Prediction of Age, Sentiment, and Connectivity from Social Media Text.

Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh

Proceedings of the Web Information System Engineering - WISE 2011, 2011

Emotional Reactions to Real-World Events in Social Networks.

Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh

Proceedings of the New Frontiers in Applied Data Mining, 2011

Towards Discovery of Influence and Personality Traits through Social Link Prediction.

Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

2010

Classification and Pattern Discovery of Mood in Weblogs.

Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Hyper-community detection in the blogosphere.

Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh

Proceedings of second ACM SIGMM workshop on Social media, 2010

Mood Patterns and Affective Lexicon Access in Weblogs.

Thin Nguyen

Proceedings of the ACL 2010, 2010