| 2026 | EACL | Causal Activation Steering via Sparse Mediation. | Toan Doan, Uyen Le, Thin Nguyen |
| 2026 | EACL | Causal Direct Preference Optimization for Language Model Alignment. | Uyen Le, Thin Nguyen, Toan Nguyen, Toan Doan, Trung Le, Bac Le |
| 2025 | CVPR | h-Edit: Effective and Flexible Diffusion-Based Editing via Doob's h-Transform. | Toan Nguyen, Kien Do, Duc Kieu, Thin Nguyen |
| 2025 | ICDM | Neural Autoregressive Flows for Markov Boundary Learning. | Khoa Nguyen, Bao Duong, Viet Huynh, Thin Nguyen |
| 2025 | ICLR | Causal Discovery via Bayesian Optimization. | Bao Duong, Sunil Gupta, Thin Nguyen |
| 2025 | ICML | Identifying Causal Direction via Variational Bayesian Compression. | Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen |
| 2025 | KDD | Bidirectional Diffusion Bridge Models. | Duc Kieu, Kien Do, Toan Nguyen, Dang Nguyen, Thin Nguyen |
| 2025 | PAKDD | Amortized Conditional Independence Testing. | Bao Duong, Nu Hoang, Thin Nguyen |
| 2025 | PAKDD | Clustering-Based Meta Bayesian Optimization with Theoretical Guarantee. | Khoa Nguyen, Viet Huynh, Binh Tran, Tri Pham, Tin Huynh, Thin Nguyen |
| 2024 | AAAI | Root Cause Explanation of Outliers under Noisy Mechanisms. | Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh |
| 2024 | ECAI | Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows. | Nu Hoang, Bao Duong, Thin Nguyen |
| 2024 | ECAI | Scalable Variational Causal Discovery Unconstrained by Acyclicity. | Nu Hoang, Bao Duong, Thin Nguyen |
| 2024 | ICDM | Generating Realistic Tabular Data with Large Language Models. | Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh |
| 2024 | WACV | Domain Generalisation via Risk Distribution Matching. | Toan Nguyen, Kien Do, Bao Duong, Thin Nguyen |
| 2024 | SDM | Robust Estimation of Causal Heteroscedastic Noise Models. | Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen |
| 2023 | AAAI | Diffeomorphic Information Neural Estimation. | Bao Duong, Thin Nguyen |
| 2023 | ECAI | Heteroscedastic Causal Structure Learning. | Bao Duong, Thin Nguyen |
| 2023 | ICDM | Differentiable Bayesian Structure Learning with Acyclicity Assurance. | Quang-Duy Tran, Phuoc Nguyen, Bao Duong, Thin Nguyen |
| 2023 | KDD | Causal Inference via Style Transfer for Out-of-distribution Generalisation. | Toan Nguyen, Kien Do, Duc Thanh Nguyen, Bao Duong, Thin Nguyen |
| 2022 | ACIIDS | Efficient Classification with Counterfactual Reasoning and Active Learning. | Azhar Mohammed, Dang Nguyen, Bao Duong, Thin Nguyen |
| 2022 | ADMA | Handling Missing Data with Markov Boundary. | Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen |
| 2022 | ICDM | Conditional Independence Testing via Latent Representation Learning. | Bao Duong, Thin Nguyen |
| 2022 | IJCNN | Causality-aided Recommendation Systems. | Tri Minh Nguyen, Azhar Mohammed, Bao Duong, Thin Nguyen |
| 2020 | ADMA | 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 |
| 2020 | ICONIP | MrPC: Causal Structure Learning in Distributed Systems. | Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh |
| 2019 | AusDM | SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media. | Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen |
| 2019 | AusDM | Estimating County Health Indices Using Graph Neural Networks. | Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen |
| 2018 | ICDM | Differentially Private Prescriptive Analytics. | Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh |
| 2018 | PAKDD | Prescriptive Analytics Through Constrained Bayesian Optimization. | Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh |
| 2018 | WISE | 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 |
| 2017 | DSAA | 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 |
| 2017 | WWW | 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 |
| 2017 | WISE | Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems. | Thin Nguyen, Nguyen Hung, Svetha Venkatesh, Dinh Q. Phung |
| 2016 | ADMA | 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 |
| 2016 | ADMA | Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning. | Haripriya Harikumar, Thin Nguyen, Santu Rana, Sunil Gupta, Ramachandra Kaimal, Svetha Venkatesh |
| 2016 | ADMA | Textual Cues for Online Depression in Community and Personal Settings. | Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2016 | WISE | 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 |
| 2016 | WISE | Large-Scale Stylistic Analysis of Formality in Academia and Social Media. | Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2015 | DSAA | Nonparametric discovery of online mental health-related communities. | Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2015 | WISE | 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 |
| 2014 | DSAA | Analysis of circadian rhythms from online communities of individuals with affective disorders. | Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung |
| 2014 | WISE | 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 |
| 2014 | WISE | Affective, Linguistic and Topic Patterns in Online Autism Communities. | Thin Nguyen, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh |
| 2014 | WISE | iPoll: Automatic Polling Using Online Search. | Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh |
| 2013 | ICWSM | Online Social Capital: Mood, Topical and Psycholinguistic Analysis. | Thin Nguyen, Bo Dao, Dinh Quoc Phung, Svetha Venkatesh, Michael Berk |
| 2012 | ICWSM | A Sentiment-Aware Approach to Community Formation in Social Media. | Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2011 | ICWSM | Towards Discovery of Influence and Personality Traits through Social Link Prediction. | Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2011 | PAKDD | Emotional Reactions to Real-World Events in Social Networks. | Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2011 | WISE | Prediction of Age, Sentiment, and Connectivity from Social Media Text. | Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh |
| 2010 | ACL | Mood Patterns and Affective Lexicon Access in Weblogs. | Thin Nguyen |
| 2010 | PAKDD | Classification and Pattern Discovery of Mood in Weblogs. | Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh |