| 2026 | AAAI | Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning. | Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran |
| 2026 | AAAI | Robust SDE Parameter Estimation Under Missing Time Information Setting. | Long Van Tran, Truyen Tran, Phuoc Nguyen |
| 2026 | ACL | Continual Safety Alignment via Gradient-Based Sample Selection. | Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran |
| 2026 | ACL | Do Domain-specific Experts exist in MoE-based LLMs? | Giang Do, Hung Le, Truyen Tran |
| 2025 | AAAI | Learning Structural Causal Models from Ordering: Identifiable Flow Models. | Minh Khoa Le, Kien Do, Truyen Tran |
| 2025 | AAAI | Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models. | Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le, Truyen Tran, Thao Minh Le |
| 2025 | ECAI | Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos. | Tuyen Tran, Thao Minh Le, Quang-Hung Le, Truyen Tran |
| 2025 | ICDM | Score-Based Integrated Gradient for Root Cause Explanations of Outliers. | Phuoc Nguyen, Truyen Tran, Sunil Gupta, Svetha Venkatesh |
| 2025 | ICLR | Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering. | Kha Pham, Hung Le, Man Ngo, Truyen Tran |
| 2025 | IJCAI | Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. | Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2025 | NAACL | SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse. | Giang Do, Hung Le, Truyen Tran |
| 2024 | AAAI | Root Cause Explanation of Outliers under Noisy Mechanisms. | Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh |
| 2024 | AusDM | MP-PINN: A Multi-phase Physics-Informed Neural Network for Epidemic Forecasting. | Thang Nguyen, Dung Nguyen, Kha Pham, Truyen Tran |
| 2024 | BMVC | Unified Compositional Query Machine with Multimodal Consistency for Video-based Human Activity Recognition. | Tuyen Tran, Thao Minh Le, Duy Hung Tran, Truyen Tran |
| 2024 | ECAI | Revisiting the Dataset Bias Problem from a Statistical Perspective. | Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh |
| 2024 | IJCAI | Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. | Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2023 | AAAI | Memory-Augmented Theory of Mind Network. | Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | ICCV | Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. | Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2023 | ICLR | Improving Out-of-distribution Generalization with Indirection Representations. | Kha Pham, Hung Le, Man Ngo, Truyen Tran |
| 2023 | IJCAI | Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. | Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran |
| 2023 | RE | Vision: Requirements Engineering for Software Development in Aged Care. | John C. Grundy, Anuradha Madugalla, Jennifer McIntosh, Truyen Tran |
| 2023 | WACV | Guiding Visual Question Answering with Attention Priors. | Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran |
| 2022 | CVPR | Persistent-Transient Duality in Human Behavior Modeling. | Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2022 | ECCV | Towards Effective and Robust Neural Trojan Defenses via Input Filtering. | Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh |
| 2022 | ECCV | Video Dialog as Conversation About Objects Living in Space-Time. | Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran |
| 2022 | ICLR | Generative Pseudo-Inverse Memory. | Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh |
| 2021 | AAAI | Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2021 | CVPR | Learning Asynchronous and Sparse Human-Object Interaction in Videos. | Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2021 | ICCV | Clustering by Maximizing Mutual Information Across Views. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2021 | IJCAI | Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. | Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran |
| 2021 | IJCNN | Object-Centric Representation Learning for Video Question Answering. | Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran |
| 2021 | ICSOC | DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. | Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta |
| 2021 | KDD | From Deep Learning to Deep Reasoning. | Truyen Tran, Vuong Le, Hung Le, Thao Minh Le |
| 2021 | WACV | Goal-driven Long-Term Trajectory Prediction. | Hung Tran, Vuong Le, Truyen Tran |
| 2020 | ACML | Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. | Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran |
| 2020 | BMVC | Learning to Abstract and Predict Human Actions. | Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh |
| 2020 | CVPR | Hierarchical Conditional Relation Networks for Video Question Answering. | Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2020 | ICLR | Theory and Evaluation Metrics for Learning Disentangled Representations. | Kien Do, Truyen Tran |
| 2020 | ICLR | Neural Stored-program Memory. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2020 | ICML | Self-Attentive Associative Memory. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2020 | IJCAI | Dynamic Language Binding in Relational Visual Reasoning. | Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2020 | IJCNN | Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. | Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh |
| 2020 | IJCNN | Neural Reasoning, Fast and Slow, for Video Question Answering. | Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2020 | IJCNN | Catastrophic forgetting and mode collapse in GANs. | Hoang Thanh-Tung, Truyen Tran |
| 2019 | CVPR | Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. | Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh |
| 2019 | ICLR | Learning to Remember More with Less Memorization. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2019 | ICLR | Improving Generalization and Stability of Generative Adversarial Networks. | Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh |
| 2019 | ICSE | Towards effective AI-powered agile project management. | Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei |
| 2019 | KDD | Graph Transformation Policy Network for Chemical Reaction Prediction. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2019 | MSR | Lessons learned from using a deep tree-based model for software defect prediction in practice. | Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John C. Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim |
| 2019 | SDM | Incomplete Conditional Density Estimation for Fast Materials Discovery. | Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Matthew Barnett, Svetha Venkatesh |
| 2018 | ICPR | Knowledge Graph Embedding with Multiple Relation Projections. | Kien Do, Truyen Tran, Svetha Venkatesh |
| 2018 | ICPR | Graph Memory Networks for Molecular Activity Prediction. | Trang Pham, Truyen Tran, Svetha Venkatesh |
| 2018 | IJCNN | Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. | Phuoc Nguyen, Truyen Tran, Svetha Venkatesh |
| 2018 | ICSE | Predicting components for issue reports using deep learning with information retrieval. | Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose |
| 2018 | ICSE | Explainable software analytics. | Hoa Khanh Dam, Truyen Tran, Aditya Ghose |
| 2018 | KDD | Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2018 | PAKDD | Dual Control Memory Augmented Neural Networks for Treatment Recommendations. | Hung Le, Truyen Tran, Svetha Venkatesh |
| 2017 | AAAI | Column Networks for Collective Classification. | Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2017 | IJCAI | Deep Learning to Attend to Risk in ICU. | Phuoc Nguyen, Truyen Tran, Svetha Venkatesh |
| 2016 | ADMA | Outlier Detection on Mixed-Type Data: An Energy-Based Approach. | Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2016 | ADMA | Stabilizing Linear Prediction Models Using Autoencoder. | Shivapratap Gopakumar, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2016 | ICPR | Faster training of very deep networks via p-norm gates. | Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2016 | PAKDD | DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. | Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2016 | PAKDD | Neural Choice by Elimination via Highway Networks. | Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2015 | AAAI | Tensor-Variate Restricted Boltzmann Machines. | Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2015 | ACML | Preference Relation-based Markov Random Fields for Recommender Systems. | Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang |
| 2015 | MSR | Characterization and Prediction of Issue-Related Risks in Software Projects. | Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose |
| 2015 | PAKDD | Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records. | Shivapratap Gopakumar, Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2014 | ACML | Ordinal Random Fields for Recommender Systems. | Shaowu Liu, Truyen Tran, Gang Li |
| 2014 | WISE | iPoll: Automatic Polling Using Online Search. | Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh |
| 2013 | ACML | Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine. | Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2013 | ICML | Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. | Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2013 | KDD | An integrated framework for suicide risk prediction. | Truyen Tran, Dinh Q. Phung, Wei Luo, Richard Harvey, Michael Berk, Svetha Venkatesh |
| 2013 | PAKDD | Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine. | Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2012 | AAAI | A Sequential Decision Approach to Ordinal Preferences in Recommender Systems. | Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2012 | FUSION | Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis. | Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2011 | SDM | Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering. | Truyen Tran, Dinh Q. Phung, Svetha Venkatesh |
| 2010 | KDD | Nonnegative shared subspace learning and its application to social media retrieval. | Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh |
| 2010 | PAKDD | Classification and Pattern Discovery of Mood in Weblogs. | Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh |