Mood Patterns and Affective Lexicon Access in Weblogs. - Thin Nguyen (ACL (Student Research Workshop), 2010)

Hyper-community detection in the blogosphere. - Thin Nguyen; Dinh Q. Phung; Brett Adams; Truyen Tran 001; Svetha Venkatesh (WSM@MM, 2010)

Classification and Pattern Discovery of Mood in Weblogs. - Thin Nguyen; Dinh Q. Phung; Brett Adams; Truyen Tran 001; Svetha Venkatesh (PAKDD (2), 2010)

Towards Discovery of Influence and Personality Traits through Social Link Prediction. - Thin Nguyen; Dinh Q. Phung; Brett Adams; Svetha Venkatesh (ICWSM, 2011)

Emotional Reactions to Real-World Events in Social Networks. - Thin Nguyen; Dinh Q. Phung; Brett Adams; Svetha Venkatesh (PAKDD Workshops, 2011)

Prediction of Age, Sentiment, and Connectivity from Social Media Text. - Thin Nguyen; Dinh Q. Phung; Brett Adams; Svetha Venkatesh (WISE, 2011)

A Sentiment-Aware Approach to Community Formation in Social Media. - Thin Nguyen; Dinh Q. Phung; Brett Adams; Svetha Venkatesh (ICWSM, 2012)

Analysis of psycholinguistic processes and topics in online autism communities. - Thin Nguyen; Dinh Q. Phung; Svetha Venkatesh (ICME, 2013)

Online Social Capital: Mood, Topical and Psycholinguistic Analysis. - Thin Nguyen; Bo Dao; Dinh Quoc Phung; Svetha Venkatesh; Michael Berk (ICWSM, 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)

Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis. - Dinh Q. Phung; Sunil Kumar Gupta 001; Thin Nguyen; Svetha Venkatesh (IEEE Trans. Multim., 2013)

Analysis of circadian rhythms from online communities of individuals with affective disorders. - Bo Dao; Thin Nguyen; Svetha Venkatesh; Dinh Q. Phung (DSAA, 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 (WISE (1), 2014)

Affective, Linguistic and Topic Patterns in Online Autism Communities. - Thin Nguyen; Thi V. Duong; Dinh Q. Phung; Svetha Venkatesh (WISE (2), 2014)

iPoll: Automatic Polling Using Online Search. - Thin Nguyen; Dinh Q. Phung; Wei Luo 001; Truyen Tran 001; Svetha Venkatesh (WISE (1), 2014)

Mood sensing from social media texts and its applications. - Thin Nguyen; Dinh Q. Phung; Brett Adams; Svetha Venkatesh (Knowl. Inf. Syst., 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)

Nonparametric discovery of online mental health-related communities. - Bo Dao; Thin Nguyen; Svetha Venkatesh; Dinh Q. Phung (DSAA, 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 (WISE (2), 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)

Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media. - Haripriya Harikumar; Thin Nguyen; Sunil Gupta 001; Santu Rana; Ramachandra Kaimal; Svetha Venkatesh (ADMA, 2016)

Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning. - Haripriya Harikumar; Thin Nguyen; Santu Rana; Sunil Gupta 001; Ramachandra Kaimal; Svetha Venkatesh (ADMA, 2016)

Textual Cues for Online Depression in Community and Personal Settings. - Thin Nguyen; Svetha Venkatesh; Dinh Q. Phung (ADMA, 2016)

Discovering latent affective dynamics among individuals in online mental health-related communities. - Bo Dao; Thin Nguyen; Svetha Venkatesh; Dinh Q. Phung (ICME, 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 (RIVF, 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 (WISE (2), 2016)

Large-Scale Stylistic Analysis of Formality in Academia and Social Media. - Thin Nguyen; Svetha Venkatesh; Dinh Q. Phung (WISE (2), 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)

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 (DSAA, 2017)

Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems. - Thin Nguyen; Nguyen Hung; Svetha Venkatesh; Dinh Q. Phung (WISE (1), 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 (WWW (Companion Volume), 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)

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)

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)

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)

Differentially Private Prescriptive Analytics. - Haripriya Harikumar; Santu Rana; Sunil Gupta 001; Thin Nguyen; Ramachandra Kaimal; Svetha Venkatesh (ICDM, 2018)

Variational Memory Encoder-Decoder. - Hung Le 002; Truyen Tran 001; Thin Nguyen; Svetha Venkatesh (NeurIPS, 2018)

Prescriptive Analytics Through Constrained Bayesian Optimization. - Haripriya Harikumar; Santu Rana; Sunil Gupta 001; Thin Nguyen; Ramachandra Kaimal; Svetha Venkatesh (PAKDD (1), 2018)

Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web. - Hung Nguyen; Van Nguyen 002; Thin Nguyen; Mark E. Larsen; Bridianne O'Dea; Duc Thanh Nguyen; Trung Le 001; Dinh Q. Phung; Svetha Venkatesh; Helen Christensen (WISE (2), 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)

Academia versus social media: A psycho-linguistic analysis. - Thin Nguyen; Svetha Venkatesh; Dinh Q. Phung (J. Comput. Sci., 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)

Improving the classification of neuropsychiatric conditions using gene ontology terms as features: Figure Data. - Thomas P. Quinn; Samuel C. Lee; Svetha Venkatesh; Thin Nguyen (Zenodo, 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 (Zenodo, 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 (Zenodo, 2018)

SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media. - Hung Nguyen; Duc Thanh Nguyen; Thin Nguyen (AusDM, 2019)

Estimating County Health Indices Using Graph Neural Networks. - Hung Nguyen; Duc Thanh Nguyen; Thin Nguyen (AusDM, 2019)

An empirical study on prediction of population health through social media. - Hung Nguyen; Thin Nguyen; Duc Thanh Nguyen (J. Biomed. Informatics, 2019)

Attentional multilabel learning over graphs: a message passing approach. - Kien Do; Truyen Tran 001; Thin Nguyen; Svetha Venkatesh (Mach. Learn., 2019)

Computational Methods for Predicting Autism Spectrum Disorder from Gene Expression Data. - Junpeng Zhang 001; Thin Nguyen; Buu Minh Thanh Truong; Lin Liu 003; Jiuyong Li; Thuc Duy Le (ADMA, 2020)

MrPC: Causal Structure Learning in Distributed Systems. - Thin Nguyen; Duc Thanh Nguyen; Thuc Duy Le; Svetha Venkatesh (ICONIP (4), 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)

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 003; Jiuyong Li; Thuc Duy Le (Briefings Bioinform., 2021)

GraphDTA: predicting drug-target binding affinity with graph neural networks. - Thin Nguyen; Hang Le 003; Thomas P. Quinn; Tri Nguyen; Thuc Duy Le; Svetha Venkatesh (Bioinform., 2021)

pDriver: a novel method for unravelling personalized coding and miRNA cancer drivers. - Vu Viet Hoang Pham; Lin Liu 003; Cameron Bracken; Thin Nguyen; Gregory J. Goodall; Jiuyong Li; Thuc Duy Le (Bioinform., 2021)

Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction. - Tri Minh Nguyen 005; Thomas P. Quinn; Thin Nguyen; Truyen Tran 001 (CoRR, 2021)

A graph-based approach for population health analysis using Geo-tagged tweets. - Hung Nguyen; Thin Nguyen; Duc Thanh Nguyen (Multim. Tools Appl., 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 001; Svetha Venkatesh; Thuc Duy Le (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Efficient Classification with Counterfactual Reasoning and Active Learning. - Azhar Mohammed; Dang Nguyen 002; Bao Duong; Thin Nguyen (ACIIDS (1), 2022)

Handling Missing Data with Markov Boundary. - Azhar Mohammed; Dang Nguyen 002; Bao Duong; Melanie Nichols; Thin Nguyen (ADMA (1), 2022)

Bivariate Causal Discovery via Conditional Divergence. - Bao Duong; Thin Nguyen (CLeaR, 2022)

Conditional Independence Testing via Latent Representation Learning. - Bao Duong; Thin Nguyen (ICDM, 2022)

Causality-aided Recommendation Systems. - Tri Minh Nguyen 005; Azhar Mohammed; Bao Duong; Thin Nguyen (IJCNN, 2022)

Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring. - Tri Minh Nguyen 005; Thin Nguyen; Truyen Tran 001 (Briefings Bioinform., 2022)

Front-door Adjustment via Style Transfer for Out-of-distribution Generalisation. - Toan Nguyen 004; Kien Do; Duc Thanh Nguyen; Bao Duong; Thin Nguyen (CoRR, 2022)

Prescriptive analytics with differential privacy. - Haripriya Harikumar; Santu Rana; Sunil Gupta 001; Thin Nguyen; Ramachandra Kaimal; Svetha Venkatesh (Int. J. Data Sci. Anal., 2022)

GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. - Tri Minh Nguyen 005; Thin Nguyen; Thao Minh Le; Truyen Tran 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 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)

Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition. - Dung Nguyen 001; Duc Thanh Nguyen; Rui Zeng; Thanh Thi Nguyen 001; Son N. Tran; Thin Nguyen; Sridha Sridharan; Clinton Fookes (IEEE Trans. Multim., 2022)

Diffeomorphic Information Neural Estimation. - Bao Duong; Thin Nguyen (AAAI, 2023)

Heteroscedastic Causal Structure Learning. - Bao Duong; Thin Nguyen (ECAI, 2023)

Differentiable Bayesian Structure Learning with Acyclicity Assurance. - Quang-Duy Tran; Phuoc Nguyen; Bao Duong; Thin Nguyen (ICDM, 2023)

Causal Inference via Style Transfer for Out-of-distribution Generalisation. - Toan Nguyen 004; Kien Do; Duc Thanh Nguyen; Bao Duong; Thin Nguyen (KDD, 2023)

Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples. - Tri Minh Nguyen 005; Thomas P. Quinn; Thin Nguyen; Truyen Tran 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Learning to discover medicines. - Tri Minh Nguyen 005; Thin Nguyen; Truyen Tran 001 (Int. J. Data Sci. Anal., 2023)

Root Cause Explanation of Outliers under Noisy Mechanisms. - Phuoc Nguyen; Truyen Tran 001; Sunil Gupta 001; Thin Nguyen; Svetha Venkatesh (AAAI, 2024)

Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows. - Nu Hoang; Bao Duong; Thin Nguyen (ECAI, 2024)

Scalable Variational Causal Discovery Unconstrained by Acyclicity. - Nu Hoang; Bao Duong; Thin Nguyen (ECAI, 2024)

Generating Realistic Tabular Data with Large Language Models. - Dang Nguyen 002; Sunil Gupta 001; Kien Do; Thin Nguyen; Svetha Venkatesh (ICDM, 2024)

Robust Estimation of Causal Heteroscedastic Noise Models. - Quang-Duy Tran; Bao Duong; Phuoc Nguyen; Thin Nguyen (SDM, 2024)

Domain Generalisation via Risk Distribution Matching. - Toan Nguyen 004; Kien Do; Bao Duong; Thin Nguyen (WACV, 2024)

Variational Flow Models: Flowing in Your Style. - Kien Do; Duc Kieu; Toan Nguyen 004; Dang Nguyen 002; Hung Le 002; Dung Nguyen 001; Thin Nguyen (CoRR, 2024)

ALIAS: DAG Learning with Efficient Unconstrained Policies. - Bao Duong; Hung Le 002; Thin Nguyen (CoRR, 2024)

Class-incremental learning with causal relational replay. - Toan Nguyen 004; Duc Kieu; Bao Duong; Tung Kieu; Kien Do; Thin Nguyen; Bac Le (Expert Syst. Appl., 2024)

Normalizing flows for conditional independence testing. - Bao Duong; Thin Nguyen (Knowl. Inf. Syst., 2024)

Constraining acyclicity of differentiable Bayesian structure learning with topological ordering. - Quang-Duy Tran; Phuoc Nguyen; Bao Duong; Thin Nguyen (Knowl. Inf. Syst., 2024)

h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform. - Toan Nguyen 004; Kien Do; Duc Kieu; Thin Nguyen (CVPR, 2025)

Causal Discovery via Bayesian Optimization. - Bao Duong; Sunil Gupta 001; Thin Nguyen (ICLR, 2025)

Amortized Conditional Independence Testing. - Bao Duong; Nu Hoang; Thin Nguyen (PAKDD (1), 2025)

Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee. - Khoa Nguyen; Viet Huynh; Binh Tran; Tri Pham; Tin Huynh; Thin Nguyen (PAKDD (3), 2025)

Reinforcement Learning for Causal Discovery without Acyclicity Constraints. - Bao Duong; Hung Le 002; Biwei Huang; Thin Nguyen (Trans. Mach. Learn. Res., 2025)

Bidirectional Diffusion Bridge Models. - Duc Kieu; Kien Do; Nguyen Thanh Binh 001; Dang Nguyen 002; Thin Nguyen (CoRR, 2025)

Identifying Causal Direction via Variational Bayesian Compression. - Quang-Duy Tran; Bao Duong; Phuoc Nguyen; Thin Nguyen (CoRR, 2025)

Leveraging Novel Ensemble Learning Techniques and Landsat Multispectral Data for Estimating Olive Yields in Tunisia. - Mohamed Kefi; Tien Dat Pham 004; Thin Nguyen; Mark G. Tjoelker; Viola Devasirvatham; Kenichi Kashiwagi (CoRR, 2025)

CausalPlan: Empowering Efficient LLM Multi-Agent Collaboration Through Causality-Driven Planning. - Minh Hoang Nguyen; Van Dai Do; Dung Nguyen 001; Thin Nguyen; Hung Le 002 (CoRR, 2025)