AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition. - Tran The Truyen; Dinh Q. Phung; Svetha Venkatesh; Hung Hai Bui (CVPR (2), 2006)

Preference Networks: Probabilistic Models for Recommendation Systems. - Tran The Truyen; Dinh Q. Phung; Svetha Venkatesh (AusDM, 2007)

Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data. - Tran The Truyen; Dinh Q. Phung; Hung Bui 001; Svetha Venkatesh (NIPS, 2008)

Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition. - Tran The Truyen; Hung Hai Bui; Dinh Q. Phung; Svetha Venkatesh (PRICAI, 2008)

Constrained Sequence Classification for Lexical Disambiguation. - Tran The Truyen; Dinh Q. Phung; Svetha Venkatesh (PRICAI, 2008)

Ordinal Boltzmann Machines for Collaborative Filtering. - Tran The Truyen; Dinh Q. Phung; Svetha Venkatesh (UAI, 2009)

Nonnegative shared subspace learning and its application to social media retrieval. - Sunil Kumar Gupta 001; Dinh Q. Phung; Brett Adams; Truyen Tran 001; Svetha Venkatesh (KDD, 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)

Probabilistic Models over Ordered Partitions with Application in Learning to Rank - Tran The Truyen; Dinh Q. Phung; Svetha Venkatesh (CoRR, 2010)

Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (SDM, 2011)

Mixed-Variate Restricted Boltzmann Machines. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ACML, 2011)

A Sequential Decision Approach to Ordinal Preferences in Recommender Systems. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (AAAI, 2012)

Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (FUSION, 2012)

Learning Boltzmann Distance Metric for Face Recognition. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ICME, 2012)

ConeRANK: Ranking as Learning Generalized Inequalities - Tran The Truyen; Duc Son Pham 001 (CoRR, 2012)

Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ACML, 2012)

Learning From Ordered Sets and Applications in Collaborative Ranking. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ACML, 2012)

Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine. - Tu Dinh Nguyen; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ACML, 2013)

Learning sparse latent representation and distance metric for image retrieval. - Tu Dinh Nguyen; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ICME, 2013)

Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ICML (2), 2013)

An integrated framework for suicide risk prediction. - Truyen Tran 001; Dinh Q. Phung; Wei Luo 001; Richard Harvey 002; Michael Berk; Svetha Venkatesh (KDD, 2013)

Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine. - Tu Dinh Nguyen; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (PAKDD (1), 2013)

Ordinal Random Fields for Recommender Systems. - Shaowu Liu; Truyen Tran 001; Gang Li 009 (ACML, 2014)

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

A framework for feature extraction from hospital medical data with applications in risk prediction. - Truyen Tran 001; Wei Luo 001; Dinh Q. Phung; Sunil Gupta 001; Santu Rana; Richard Kennedy; Ann Larkins; Svetha Venkatesh (BMC Bioinform., 2014)

Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records. - Shivapratap Gopakumar; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (CoRR, 2014)

Boosted Markov Networks for Activity Recognition. - Tran The Truyen; Hung Bui 001; Svetha Venkatesh (CoRR, 2014)

Human Activity Learning and Segmentation using Partially Hidden Discriminative Models. - Tran The Truyen; Hung Bui 001; Svetha Venkatesh (CoRR, 2014)

Global optimization using Lévy flights. - Truyen Tran 001; Trung Thanh Nguyen; Hoang Linh Nguyen (CoRR, 2014)

Learning Rank Functionals: An Empirical Study. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (CoRR, 2014)

Learning Structured Outputs from Partial Labels using Forest Ensemble. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (CoRR, 2014)

MCMC for Hierarchical Semi-Markov Conditional Random Fields. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh; Hung Hai Bui (CoRR, 2014)

Permutation Models for Collaborative Ranking. - Truyen Tran 001; Svetha Venkatesh (CoRR, 2014)

Tensor-Variate Restricted Boltzmann Machines. - Tu Dinh Nguyen; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (AAAI, 2015)

Who Will Answer My Question on Stack Overflow? - Morakot Choetkiertikul; Daniel Avery; Hoa Khanh Dam; Truyen Tran 001; Aditya K. Ghose (ASWEC, 2015)

Predicting Delays in Software Projects Using Networked Classification (T). - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Aditya Ghose (ASE, 2015)

Characterization and Prediction of Issue-Related Risks in Software Projects. - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Aditya Ghose (MSR, 2015)

Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records. - Shivapratap Gopakumar; Tu Dinh Nguyen; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (PAKDD (2), 2015)

Tree-based iterated local search for Markov random fields with applications in image analysis. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (J. Heuristics, 2015)

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM). - Truyen Tran 001; Tu Dinh Nguyen; Dinh Q. Phung; Svetha Venkatesh (J. Biomed. Informatics, 2015)

Stabilized sparse ordinal regression for medical risk stratification. - Truyen Tran 001; Dinh Q. Phung; Wei Luo 001; Svetha Venkatesh (Knowl. Inf. Syst., 2015)

Stabilizing High-Dimensional Prediction Models Using Feature Graphs. - Shivapratap Gopakumar; Truyen Tran 001; Tu Dinh Nguyen; Dinh Q. Phung; Svetha Venkatesh (IEEE J. Biomed. Health Informatics, 2015)

Outlier Detection on Mixed-Type Data: An Energy-Based Approach. - Kien Do; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ADMA, 2016)

Stabilizing Linear Prediction Models Using Autoencoder. - Shivapratap Gopakumar; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ADMA, 2016)

Forecasting Patient Outflow from Wards having No Real-Time Clinical Data. - Shivapratap Gopakumar; Truyen Tran 001; Wei Luo 001; Dinh Q. Phung; Svetha Venkatesh (ICHI, 2016)

Faster training of very deep networks via p-norm gates. - Trang Pham; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (ICPR, 2016)

Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data. - Truyen Tran 001; Wei Luo 001; Dinh Q. Phung; Jonathan Morris; Kristen Rickard; Svetha Venkatesh (MLHC, 2016)

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. - Trang Pham; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (PAKDD (2), 2016)

Neural Choice by Elimination via Highway Networks. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (PAKDD Workshops, 2016)

DeepSoft: a vision for a deep model of software. - Hoa Khanh Dam; Truyen Tran 001; John C. Grundy; Aditya K. Ghose (SIGSOFT FSE, 2016)

A deep language model for software code. - Hoa Khanh Dam; Truyen Tran 001; Trang Pham (CoRR, 2016)

Multilevel Anomaly Detection for Mixed Data. - Kien Do; Truyen Tran 001; Svetha Venkatesh (CoRR, 2016)

An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments. - Nguyen Cong Thuong; Truyen Tran 001; Shivapratap Gopakumar; Dinh Q. Phung; Svetha Venkatesh (CoRR, 2016)

Deepr: A Convolutional Net for Medical Records. - Phuoc Nguyen; Truyen Tran 001; Nilmini Wickramasinghe; Svetha Venkatesh (CoRR, 2016)

Choice by Elimination via Deep Neural Networks. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (CoRR, 2016)

Learning deep representation of multityped objects and tasks. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (CoRR, 2016)

Graph-induced restricted Boltzmann machines for document modeling. - Tu Dinh Nguyen; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (Inf. Sci., 2016)

Collaborative filtering via sparse Markov random fields. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (Inf. Sci., 2016)

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach. - Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (Knowl. Inf. Syst., 2016)

Column Networks for Collective Classification. - Trang Pham; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (AAAI, 2017)

Deep Learning to Attend to Risk in ICU. - Phuoc Nguyen; Truyen Tran 001; Svetha Venkatesh (KDH@IJCAI, 2017)

Hierarchical semi-Markov conditional random fields for deep recursive sequential data. - Truyen Tran 001; Dinh Quoc Phung; Hung Bui 001; Svetha Venkatesh (Artif. Intell., 2017)

Matrix-centric Neural Networks. - Kien Do; Truyen Tran 001; Svetha Venkatesh (CoRR, 2017)

One Size Fits Many: Column Bundle for Multi-X Learning. - Trang Pham; Truyen Tran 001; Svetha Venkatesh (CoRR, 2017)

Automatic feature learning for vulnerability prediction. - Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Shien Wee Ng; John Grundy 001; Aditya Ghose (CoRR, 2017)

Graph Classification via Deep Learning with Virtual Nodes. - Trang Pham; Truyen Tran 001; Khanh Hoa Dam; Svetha Venkatesh (CoRR, 2017)

Statistical Latent Space Approach for Mixed Data Modelling and Applications. - Tu Dinh Nguyen; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (CoRR, 2017)

Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization. - Tu Dinh Nguyen; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (CoRR, 2017)

Finding Algebraic Structure of Care in Time: A Deep Learning Approach. - Phuoc Nguyen; Truyen Tran 001; Svetha Venkatesh (CoRR, 2017)

Predicting the delay of issues with due dates in software projects. - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Aditya Ghose (Empir. Softw. Eng., 2017)

Predicting healthcare trajectories from medical records: A deep learning approach. - Trang Pham; Truyen Tran 001; Dinh Q. Phung; Svetha Venkatesh (J. Biomed. Informatics, 2017)

Preference Relation-based Markov Random Fields for Recommender Systems. - Shaowu Liu; Gang Li 009; Truyen Tran 001; Yuan Jiang 001 (Mach. Learn., 2017)

Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems. - Shaowu Liu; Gang Li 009; Truyen Tran 001; Yuan Jiang 001 (Mach. Learn., 2017)

Deepr: A Convolutional Net for Medical Records. - Phuoc Nguyen; Truyen Tran 001; Nilmini Wickramasinghe; Svetha Venkatesh (IEEE J. Biomed. Health Informatics, 2017)

Knowledge Graph Embedding with Multiple Relation Projections. - Kien Do; Truyen Tran 001; Svetha Venkatesh (ICPR, 2018)

Graph Memory Networks for Molecular Activity Prediction. - Trang Pham; Truyen Tran 001; Svetha Venkatesh (ICPR, 2018)

Predicting components for issue reports using deep learning with information retrieval. - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Aditya Ghose (ICSE (Companion Volume), 2018)

Explainable software analytics. - Hoa Khanh Dam; Truyen Tran 001; Aditya Ghose (ICSE (NIER), 2018)

Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. - Phuoc Nguyen; Truyen Tran 001; Svetha Venkatesh (IJCNN, 2018)

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. - Hung Le 002; Truyen Tran 001; Svetha Venkatesh (KDD, 2018)

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

Dual Control Memory Augmented Neural Networks for Treatment Recommendations. - Hung Le 002; Truyen Tran 001; Svetha Venkatesh (PAKDD (3), 2018)

A deep tree-based model for software defect prediction. - Hoa Khanh Dam; Trang Pham; Shien Wee Ng; Truyen Tran 001; John Grundy 001; Aditya Ghose; Taeksu Kim; Chul-Joo Kim (CoRR, 2018)

Memory-Augmented Neural Networks for Predictive Process Analytics. - Muhammad Asjad Khan; Hung Le 002; Kien Do; Truyen Tran 001; Aditya Ghose; Khanh Hoa Dam; Renuka Sindhgatta (CoRR, 2018)

On catastrophic forgetting and mode collapse in Generative Adversarial Networks. - Hoang Thanh-Tung; Truyen Tran 001; Svetha Venkatesh (CoRR, 2018)

Relational dynamic memory networks. - Trang Pham; Truyen Tran 001; Svetha Venkatesh (CoRR, 2018)

Hybrid Generative-Discriminative Models for Inverse Materials Design. - Phuoc Nguyen; Truyen Tran 001; Sunil Gupta 001; Santu Rana; Svetha Venkatesh (CoRR, 2018)

Energy-based anomaly detection for mixed data. - Kien Do; Truyen Tran 001; Svetha Venkatesh (Knowl. Inf. Syst., 2018)

Predicting Delivery Capability in Iterative Software Development. - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Aditya Ghose; John Grundy 001 (IEEE Trans. Software Eng., 2018)

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. - Romero F. A. B. de Morais; Vuong Le; Truyen Tran 001; Budhaditya Saha; Moussa Reda Mansour; Svetha Venkatesh (CVPR, 2019)

Learning to Remember More with Less Memorization. - Hung Le 002; Truyen Tran 001; Svetha Venkatesh (ICLR, 2019)

Improving Generalization and Stability of Generative Adversarial Networks. - Hoang Thanh-Tung; Truyen Tran 001; Svetha Venkatesh (ICLR (Poster), 2019)

Towards effective AI-powered agile project management. - Hoa Khanh Dam; Truyen Tran 001; John C. Grundy; Aditya Ghose; Yasutaka Kamei (ICSE (NIER), 2019)

Graph Transformation Policy Network for Chemical Reaction Prediction. - Kien Do; Truyen Tran 001; Svetha Venkatesh (KDD, 2019)

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 001; John C. Grundy; Aditya Ghose; Taeksu Kim; Chul-Joo Kim (MSR, 2019)

Incomplete Conditional Density Estimation for Fast Materials Discovery. - Phuoc Nguyen; Truyen Tran 001; Sunil Gupta 001; Santu Rana; Matthew Barnett; Svetha Venkatesh (SDM, 2019)

Learning to Reason with Relational Video Representation for Question Answering. - Thao Minh Le; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (CoRR, 2019)

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

A Deep Learning Model for Estimating Story Points. - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Aditya Ghose; Tim Menzies (IEEE Trans. Software Eng., 2019)

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. - Dung Nguyen 001; Svetha Venkatesh; Phuoc Nguyen; Truyen Tran 001 (ACML, 2020)

Learning to Abstract and Predict Human Actions. - Romero F. A. B. de Morais; Vuong Le; Truyen Tran 001; Svetha Venkatesh (BMVC, 2020)

Hierarchical Conditional Relation Networks for Video Question Answering. - Thao Minh Le; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (CVPR, 2020)

Theory and Evaluation Metrics for Learning Disentangled Representations. - Kien Do; Truyen Tran 001 (ICLR, 2020)

Neural Stored-program Memory. - Hung Le 002; Truyen Tran 001; Svetha Venkatesh (ICLR, 2020)

Self-Attentive Associative Memory. - Hung Le 002; Truyen Tran 001; Svetha Venkatesh (ICML, 2020)

Dynamic Language Binding in Relational Visual Reasoning. - Thao Minh Le; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (IJCAI, 2020)

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. - Thommen George Karimpanal; Santu Rana; Sunil Gupta 001; Truyen Tran 001; Svetha Venkatesh (IJCNN, 2020)

Neural Reasoning, Fast and Slow, for Video Question Answering. - Thao Minh Le; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (IJCNN, 2020)

Catastrophic forgetting and mode collapse in GANs. - Hoang Thanh-Tung; Truyen Tran 001 (IJCNN, 2020)

Unsupervised Anomaly Detection on Temporal Multiway Data. - Duc Nguyen; Phuoc Nguyen; Kien Do; Santu Rana; Sunil Gupta 001; Truyen Tran 001 (SSCI, 2020)

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network. - Phuoc Nguyen; Truyen Tran 001; Sunil Gupta 001; Santu Rana; Hieu-Chi Dam; Svetha Venkatesh (CoRR, 2020)

Toward a Generalization Metric for Deep Generative Models. - Hoang Thanh-Tung; Truyen Tran 001 (CoRR, 2020)

Logically Consistent Loss for Visual Question Answering. - Anh-Cat Le-Ngo; Truyen Tran 001; Santu Rana; Sunil Gupta 001; Svetha Venkatesh (CoRR, 2020)

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. - Kien Do; Truyen Tran 001; Svetha Venkatesh (AAAI, 2021)

Learning Asynchronous and Sparse Human-Object Interaction in Videos. - Romero F. A. B. de Morais; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (CVPR, 2021)

Clustering by Maximizing Mutual Information Across Views. - Kien Do; Truyen Tran 001; Svetha Venkatesh (ICCV, 2021)

DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. - Asjad Khan; Hung Le 002; Kien Do; Truyen Tran 001; Aditya Ghose; Hoa Khanh Dam; Renuka Sindhgatta (ICSOC, 2021)

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. - Long Hoang Dang; Thao Minh Le; Vuong Le; Truyen Tran 001 (IJCAI, 2021)

Object-Centric Representation Learning for Video Question Answering. - Long Hoang Dang; Thao Minh Le; Vuong Le; Truyen Tran 001 (IJCNN, 2021)

From Deep Learning to Deep Reasoning. - Truyen Tran 001; Vuong Le; Hung Le 002; Thao Minh Le (KDD, 2021)

Model-Based Episodic Memory Induces Dynamic Hybrid Controls. - Hung Le 002; Thommen George Karimpanal; Majid Abdolshah; Truyen Tran 001; Svetha Venkatesh (NeurIPS, 2021)

Knowledge Distillation with Distribution Mismatch. - Dang Nguyen 002; Sunil Gupta 001; Trong Nguyen; Santu Rana; Phuoc Nguyen; Truyen Tran 001; Ky Le; Shannon Ryan; Svetha Venkatesh (ECML/PKDD (2), 2021)

Variational Hyper-encoding Networks. - Phuoc Nguyen; Truyen Tran 001; Sunil Gupta 001; Santu Rana; Hieu-Chi Dam; Svetha Venkatesh (ECML/PKDD (2), 2021)

Fast Conditional Network Compression Using Bayesian HyperNetworks. - Phuoc Nguyen; Truyen Tran 001; Ky Le; Sunil Gupta 001; Santu Rana; Dang Nguyen 002; Trong Nguyen; Shannon Ryan; Svetha Venkatesh (ECML/PKDD (3), 2021)

Goal-driven Long-Term Trajectory Prediction. - Hung Tran; Vuong Le; Truyen Tran 001 (WACV, 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)

Automatically recommending components for issue reports using deep learning. - Morakot Choetkiertikul; Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Chaiyong Ragkhitwetsagul; Aditya Ghose (Empir. Softw. Eng., 2021)

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. - Thao Minh Le; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (Int. J. Comput. Vis., 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)

A Spatio-Temporal Attention-Based Model for Infant Movement Assessment From Videos. - Binh Nguyen-Thai; Vuong Le; Catherine Morgan; Nadia Badawi; Truyen Tran 001; Svetha Venkatesh (IEEE J. Biomed. Health Informatics, 2021)

Automatic Feature Learning for Predicting Vulnerable Software Components. - Hoa Khanh Dam; Truyen Tran 001; Trang Pham; Shien Wee Ng; John Grundy 001; Aditya Ghose (IEEE Trans. Software Eng., 2021)

Learning Theory of Mind via Dynamic Traits Attribution. - Dung Nguyen 001; Phuoc Nguyen; Hung Le 002; Kien Do; Svetha Venkatesh; Truyen Tran 001 (AAMAS, 2022)

Learning to Transfer Role Assignment Across Team Sizes. - Dung Nguyen 001; Phuoc Nguyen; Svetha Venkatesh; Truyen Tran 001 (AAMAS, 2022)

Persistent-Transient Duality in Human Behavior Modeling. - Hung Tran; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (CVPR Workshops, 2022)

Towards Effective and Robust Neural Trojan Defenses via Input Filtering. - Kien Do; Haripriya Harikumar; Hung Le 002; Dung Nguyen 001; Truyen Tran 001; Santu Rana; Dang Nguyen 002; Willy Susilo; Svetha Venkatesh (ECCV (5), 2022)

Video Dialog as Conversation About Objects Living in Space-Time. - Hoang-Anh Pham; Thao Minh Le; Vuong Le; Tu Minh Phuong; Truyen Tran 001 (ECCV (39), 2022)

Generative Pseudo-Inverse Memory. - Kha Pham; Hung Le 002; Man Ngo; Truyen Tran 001; Bao Ho; Svetha Venkatesh (ICLR, 2022)

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. - Kien Do; Hung Le 002; Dung Nguyen 001; Dang Nguyen 002; Haripriya Harikumar; Truyen Tran 001; Santu Rana; Svetha Venkatesh (NeurIPS, 2022)

Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. - Kha Pham; Hung Le 002; Man Ngo; Truyen Tran 001 (NeurIPS, 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)

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)

Memory-Augmented Theory of Mind Network. - Dung Nguyen 001; Phuoc Nguyen; Hung Le 002; Kien Do; Svetha Venkatesh; Truyen Tran 001 (AAAI, 2023)

Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. - Hung Tran; Vuong Le; Svetha Venkatesh; Truyen Tran 001 (ICCV, 2023)

Improving Out-of-distribution Generalization with Indirection Representations. - Kha Pham; Hung Le 002; Man Ngo; Truyen Tran 001 (ICLR, 2023)

Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. - Dung Nguyen 001; Hung Le 002; Kien Do; Svetha Venkatesh; Truyen Tran 001 (IJCAI, 2023)

Vision: Requirements Engineering for Software Development in Aged Care. - John C. Grundy; Anuradha Madugalla; Jennifer McIntosh 001; Truyen Tran 001 (REW, 2023)

Guiding Visual Question Answering with Attention Priors. - Thao Minh Le; Vuong Le; Sunil Gupta 001; Svetha Venkatesh; Truyen Tran 001 (WACV, 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)

Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection. - Romero F. A. B. de Morais; Vuong Le; Catherine Morgan; Alicia J. Spittle; Nadia Badawi; Jane Valentine; Elizabeth M. Hurrion; Paul A Dawson; Truyen Tran 001; Svetha Venkatesh (IEEE J. Biomed. Health Informatics, 2023)

Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. - Thommen George Karimpanal; Hung Le 002; Majid Abdolshah; Santu Rana; Sunil Gupta 001; Truyen Tran 001; Svetha Venkatesh (Artif. Intell., 2023)

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

Unified Compositional Query Machine with Multimodal Consistency for Video-based Human Activity Recognition. - Tuyen Tran; Thao Minh Le; Duy Hung Tran; Truyen Tran 001 (BMVC, 2024)

Revisiting the Dataset Bias Problem from a Statistical Perspective. - Kien Do; Dung Nguyen 001; Hung Le 002; Thao Le 003; Dang Nguyen 002; Haripriya Harikumar; Truyen Tran 001; Santu Rana; Svetha Venkatesh (ECAI, 2024)

Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. - Dung Nguyen 001; Hung Le 002; Kien Do; Sunil Gupta 001; Svetha Venkatesh; Truyen Tran 001 (IJCAI, 2024)

Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. - Hung Le 002; Dung Nguyen 001; Kien Do; Svetha Venkatesh; Truyen Tran 001 (CoRR, 2024)

SimSMoE: Solving Representational Collapse via Similarity Measure. - Giang Do; Hung Le 002; Truyen Tran 001 (CoRR, 2024)

SADL: An Effective In-Context Learning Method for Compositional Visual QA. - Long Hoang Dang; Thao Minh Le; Vuong Le; Tu Minh Phuong; Truyen Tran 001 (CoRR, 2024)

PINNs for Medical Image Analysis: A Survey. - Chayan Banerjee; Kien Nguyen Thanh; Olivier Salvado; Truyen Tran 001; Clinton Fookes (CoRR, 2024)

Unified Framework with Consistency across Modalities for Human Activity Recognition. - Tuyen Tran; Thao Minh Le; Hung Tran; Truyen Tran 001 (CoRR, 2024)

Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks. - Tri Minh Nguyen 005; Sherif Abdulkader Tawfik; Truyen Tran 001; Sunil Gupta 001; Santu Rana; Svetha Venkatesh (CoRR, 2024)

MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting. - Thang Nguyen; Dung Nguyen 001; Kha Pham; Truyen Tran 001 (CoRR, 2024)

On the effectiveness of discrete representations in sparse mixture of experts. - Giang Do; Kha Pham; Hung Le 002; Truyen Tran 001 (CoRR, 2024)

Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models. - Quang-Hung Le; Long Hoang Dang; Ngan Le; Truyen Tran 001; Thao Minh Le (CoRR, 2024)

Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory. - Hung Le 002; Dung Nguyen 001; Kien Do; Svetha Venkatesh; Truyen Tran 001 (Trans. Mach. Learn. Res., 2024)

Learning evolving relations for multivariate time series forecasting. - Binh Nguyen-Thai; Vuong Le; Ngoc-Dung T. Tieu; Truyen Tran 001; Svetha Venkatesh; Naeem Ramzan (Appl. Intell., 2024)

Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand. - Nhung Nghiem; Nick Wilson; Jeremy Krebs; Truyen Tran 001 (BMC Medical Informatics Decis. Mak., 2024)

Learning Structural Causal Models from Ordering: Identifiable Flow Models. - Minh Khoa Le; Kien Do; Truyen Tran 001 (AAAI, 2025)

Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models. - Quang-Hung Le; Long Hoang Dang; Ngan Hoang Le; Truyen Tran 001; Thao Minh Le (AAAI, 2025)

Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering. - Kha Pham; Hung Le 002; Man Ngo; Truyen Tran 001 (ICLR, 2025)

Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. - Dung Nguyen 001; Hung Le 002; Kien Do; Sunil Gupta 001; Svetha Venkatesh; Truyen Tran 001 (AAMAS, 2025)

SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse. - Giang Do; Hung Le 002; Truyen Tran 001 (NAACL (Findings), 2025)

On the Role of Discrete Representation in Sparse Mixture of Experts. - Giang Do; Kha Pham; Hung Le 002; Truyen Tran 001 (Trans. Mach. Learn. Res., 2025)

Finding the Trigger: Causal Abductive Reasoning on Video Events. - Thao Minh Le; Vuong Le; Kien Do; Sunil Gupta 001; Svetha Venkatesh; Truyen Tran 001 (CoRR, 2025)

Fine-Grained Fidgety Movement Classification Using Active Learning. - Romero F. A. B. de Morais; Truyen Tran 001; Caroline Alexander; Natasha Amery; Catherine Morgan; Alicia J. Spittle; Vuong Le; Nadia Badawi; Alison Salt; Jane Valentine; Catherine Elliott; Elizabeth M. Hurrion; et al. (IEEE J. Biomed. Health Informatics, 2025)

Sparse Mixture of Experts as Unified Competitive Learning. - Giang Do; Hung Le 002; Truyen Tran 001 (CoRR, 2025)

S2MoE: Robust Sparse Mixture of Experts via Stochastic Learning. - Giang Do; Hung Le 002; Truyen Tran 001 (CoRR, 2025)

LaGR-SEQ: Language-guided reinforcement learning with sample-efficient querying. - Thommen Karimpanal George; Buddhika Laknath Semage; Santu Rana; Hung Le 002; Truyen Tran 001; Sunil Gupta 001; Svetha Venkatesh (Neural Comput. Appl., 2025)

Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos. - Tuyen Tran; Thao Minh Le; Quang-Hung Le; Truyen Tran 001 (CoRR, 2025)

Towards Agentic AI for Multimodal-Guided Video Object Segmentation. - Tuyen Tran; Thao Minh Le; Truyen Tran 001 (CoRR, 2025)