Thin Nguyen

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 75

Top Topics

Smoking Cessation

Causal Discovery

Conditional Independence

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
Domain Generalisation via Risk Distribution Matching. WACV (2024)
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
Root Cause Explanation of Outliers under Noisy Mechanisms. AAAI (2024)
Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
Robust Estimation of Causal Heteroscedastic Noise Models. SDM (2024)
Nu Hoang, Bao Duong, Thin Nguyen
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows. CoRR (2024)
Kien Do, Duc Kieu, Toan Nguyen, Dang Nguyen, Hung Le, Dung Nguyen, Thin Nguyen
Variational Flow Models: Flowing in Your Style. CoRR (2024)
Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
Constraining acyclicity of differentiable Bayesian structure learning with topological ordering. Knowl. Inf. Syst. 66 (9) (2024)
Bao Duong, Thin Nguyen
Normalizing flows for conditional independence testing. Knowl. Inf. Syst. 66 (1) (2024)
Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le
Class-incremental learning with causal relational replay. Expert Syst. Appl. 250 (2024)
Nu Hoang, Bao Duong, Thin Nguyen
Scalable Variational Causal Discovery Unconstrained by Acyclicity. CoRR (2024)
Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran
Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen
Robust Estimation of Causal Heteroscedastic Noise Models. CoRR (2023)
Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
Differentiable Bayesian Structure Learning with Acyclicity Assurance. CoRR (2023)
Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
Causal Inference via Style Transfer for Out-of-distribution Generalisation. KDD (2023)
Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen
Differentiable Bayesian Structure Learning with Acyclicity Assurance. ICDM (2023)
Bao Duong, Thin Nguyen
Diffeomorphic Information Neural Estimation. AAAI (2023)
Bao Duong, Thin Nguyen
Heteroscedastic Causal Structure Learning. ECAI (2023)
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
Root Cause Explanation of Outliers under Noisy Mechanisms. CoRR (2023)
Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen
Domain Generalisation via Risk Distribution Matching. CoRR (2023)
Bao Duong, Thin Nguyen
Heteroscedastic Causal Structure Learning. CoRR (2023)
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Learning to discover medicines. Int. J. Data Sci. Anal. 16 (3) (2023)
Bao Duong, Thin Nguyen
Conditional Independence Testing via Latent Representation Learning. ICDM (2022)
Bao Duong, Thin Nguyen
Diffeomorphic Information Neural Estimation. CoRR (2022)
Tuan Nguyen, Giang T. T. Nguyen, Thin Nguyen, Duc-Hau Le
Graph Convolutional Networks for Drug Response Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Bao Duong, Thin Nguyen
Bivariate Causal Discovery via Conditional Divergence. CLeaR (2022)
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring. CoRR (2022)
Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
Prescriptive analytics with differential privacy. Int. J. Data Sci. Anal. 13 (2) (2022)
Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen
Handling Missing Data with Markov Boundary. ADMA (1) (2022)
Tri Nguyen, Azhar Mohammed, Bao Duong, Thin Nguyen
Causality-aided Recommendation Systems. IJCNN (2022)
Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
Efficient Classification with Counterfactual Reasoning and Active Learning. CoRR (2022)
Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen
Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation. CoRR (2022)
Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen
Efficient Classification with Counterfactual Reasoning and Active Learning. ACIIDS (1) (2022)
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition. IEEE Trans. Multim. 24 (2022)
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring. Briefings Bioinform. 23 (4) (2022)
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Learning to Discover Medicines. CoRR (2022)
Bao Duong, Thin Nguyen
Conditional Independence Testing via Latent Representation Learning. CoRR (2022)
Thin Nguyen, Hang Le, Thomas P. Quinn, Tri Nguyen, Thuc Duy Le, Svetha Venkatesh
GraphDTA: predicting drug-target binding affinity with graph neural networks. Bioinform. 37 (8) (2021)
Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Vu Viet Hoang Pham, Xiaomei Li, Buu Minh Thanh Truong, Thin Nguyen, Lin Liu, Jiuyong Li, Thuc Duy Le
The winning methods for predicting cellular position in the DREAM single-cell transcriptomics challenge. Briefings Bioinform. 22 (3) (2021)
Vu Viet Hoang Pham, Lin Liu, Cameron Bracken, Thin Nguyen, Gregory J. Goodall, Jiuyong Li, Thuc Duy Le
pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers. Bioinform. 37 (19) (2021)
Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen
A graph-based approach for population health analysis using Geo-tagged tweets. Multim. Tools Appl. 80 (5) (2021)
Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction. CoRR (2021)
Junpeng Zhang, Thin Nguyen, Buu Minh Thanh Truong, Lin Liu, Jiuyong Li, Thuc Duy Le
Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data. ADMA (2020)
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng, Thanh Thi Nguyen, Son N. Tran, Thin Nguyen, Sridha Sridharan, Clinton Fookes
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition. CoRR (2020)
Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh
MrPC: Causal Structure Learning in Distributed Systems. ICONIP (4) (2020)
Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Hung Nguyen, Duc Thanh Nguyen, John Yearwood, Dinh Quoc Phung, Svetha Venkatesh, Helen Christensen
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices. Future Gener. Comput. Syst. 110 (2020)
Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. CoRR (2020)
Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen
An empirical study on prediction of population health through social media. J. Biomed. Informatics 99 (2019)
Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media. AusDM (2019)
Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
Estimating County Health Indices Using Graph Neural Networks. AusDM (2019)
Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
Attentional multilabel learning over graphs: a message passing approach. Mach. Learn. 108 (10) (2019)
Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
Differentially Private Prescriptive Analytics. ICDM (2018)
Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
Academia versus social media: A psycho-linguistic analysis. J. Comput. Sci. 25 (2018)
Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
Variational Memory Encoder-Decoder. CoRR (2018)
Duc Thanh Nguyen, Ngoc-Son Vu, Thanh-Toan Do, Thin Nguyen, John Yearwood
Improving Chamfer Template Matching Using Image Segmentation. IEEE Signal Process. Lett. 25 (11) (2018)
Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen
The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content. CoRR (2018)
Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
Attentional Multilabel Learning over Graphs: A Message Passing Approach. CoRR (2018)
Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
Prescriptive Analytics Through Constrained Bayesian Optimization. PAKDD (1) (2018)
Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web. WISE (2) (2018)
Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
Variational Memory Encoder-Decoder. NeurIPS (2018)
Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities. Int. J. Data Sci. Anal. 4 (3) (2017)
Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
Estimation of the prevalence of adverse drug reactions from social media. Int. J. Medical Informatics 102 (2017)
Hung Nguyen, Sarah J. Maclagan, Tu Dinh Nguyen, Thin Nguyen, Paul Flemons, Kylie Andrews, Euan G. Ritchie, Dinh Q. Phung
Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring. DSAA (2017)
Thin Nguyen, Duc Thanh Nguyen, Mark E. Larsen, Bridianne O'Dea, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features. WWW (Companion Volume) (2017)
Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
Using linguistic and topic analysis to classify sub-groups of online depression communities. Multim. Tools Appl. 76 (8) (2017)
Thin Nguyen, Nguyen Hung, Svetha Venkatesh, Dinh Q. Phung
Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems. WISE (1) (2017)
Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
Kernel-based features for predicting population health indices from geocoded social media data. Decis. Support Syst. 102 (2017)
Thin Nguyen, Ron Borland, John Yearwood, Hua-Hie Yong, Svetha Venkatesh, Dinh Q. Phung
Discriminative Cues for Different Stages of Smoking Cessation in Online Community. WISE (2) (2016)
Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
Textual Cues for Online Depression in Community and Personal Settings. ADMA (2016)
Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
Large-Scale Stylistic Analysis of Formality in Academia and Social Media. WISE (2) (2016)
Budhaditya Saha, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh
A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression. IEEE J. Biomed. Health Informatics 20 (4) (2016)
Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
Discovering latent affective dynamics among individuals in online mental health-related communities. ICME (2016)
Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
Effect of social capital on emotion, language style and latent topics in online depression community. RIVF (2016)
Haripriya Harikumar, Thin Nguyen, Santu Rana, Sunil Gupta, Ramachandra Kaimal, Svetha Venkatesh
Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning. ADMA (2016)
Haripriya Harikumar, Thin Nguyen, Sunil Gupta, Santu Rana, Ramachandra Kaimal, Svetha Venkatesh
Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media. ADMA (2016)
Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen
Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues. WISE (2) (2015)
Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
Nonparametric discovery of online mental health-related communities. DSAA (2015)
Thin Nguyen, Thi V. Duong, Svetha Venkatesh, Dinh Q. Phung
Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings. IEEE Trans. Affect. Comput. 6 (3) (2015)
Thin Nguyen, Dinh Q. Phung, Bo Dao, Svetha Venkatesh, Michael Berk
Affective and Content Analysis of Online Depression Communities. IEEE Trans. Affect. Comput. 5 (3) (2014)
Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh
iPoll: Automatic Polling Using Online Search. WISE (1) (2014)
Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung
Analysis of circadian rhythms from online communities of individuals with affective disorders. DSAA (2014)
Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
Mood sensing from social media texts and its applications. Knowl. Inf. Syst. 39 (3) (2014)
Thin Nguyen, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh
Affective, Linguistic and Topic Patterns in Online Autism Communities. WISE (2) (2014)
Bo Dao, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh
Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis. WISE (1) (2014)
Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
Event extraction using behaviors of sentiment signals and burst structure in social media. Knowl. Inf. Syst. 37 (2) (2013)
Dinh Q. Phung, Sunil Kumar Gupta, Thin Nguyen, Svetha Venkatesh
Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis. IEEE Trans. Multim. 15 (6) (2013)
Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh
Analysis of psycholinguistic processes and topics in online autism communities. ICME (2013)
Thin Nguyen, Bo Dao, Dinh Quoc Phung, Svetha Venkatesh, Michael Berk
Online Social Capital: Mood, Topical and Psycholinguistic Analysis. ICWSM (2013)
Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
A Sentiment-Aware Approach to Community Formation in Social Media. ICWSM (2012)
Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
Towards Discovery of Influence and Personality Traits through Social Link Prediction. ICWSM (2011)
Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
Emotional Reactions to Real-World Events in Social Networks. PAKDD Workshops (2011)
Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh
Prediction of Age, Sentiment, and Connectivity from Social Media Text. WISE (2011)
Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
Classification and Pattern Discovery of Mood in Weblogs. PAKDD (2) (2010)
Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
Hyper-community detection in the blogosphere. WSM@MM (2010)
Thin Nguyen
Mood Patterns and Affective Lexicon Access in Weblogs. ACL (Student Research Workshop) (2010)