Truyen Tran

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 171

Top Venues

Publications

Giang Do, Hung Le, Truyen Tran
SimSMoE: Solving Representational Collapse via Similarity Measure. CoRR (2024)
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
Root Cause Explanation of Outliers under Noisy Mechanisms. AAAI (2024)
Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR (2024)
Binh Nguyen-Thai, Vuong Le, Ngoc-Dung T. Tieu, Truyen Tran, Svetha Venkatesh, Naeem Ramzan
Learning evolving relations for multivariate time series forecasting. Appl. Intell. 54 (5) (2024)
Long Hoang Dang, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran
SADL: An Effective In-Context Learning Method for Compositional Visual QA. CoRR (2024)
Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. 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)
John C. Grundy, Anuradha Madugalla, Jennifer McIntosh, Truyen Tran
Vision: Requirements Engineering for Software Development in Aged Care. REW (2023)
Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI (2023)
Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. CoRR (2023)
Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. ICCV (2023)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Memory-Augmented Theory of Mind Network. AAAI (2023)
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, Svetha Venkatesh
Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
Root Cause Explanation of Outliers under Noisy Mechanisms. CoRR (2023)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Memory-Augmented Theory of Mind Network. CoRR (2023)
Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran
Guiding Visual Question Answering with Attention Priors. WACV (2023)
Kha Pham, Hung Le, Man Ngo, Truyen Tran
Improving Out-of-distribution Generalization with Indirection Representations. ICLR (2023)
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Learning to discover medicines. Int. J. Data Sci. Anal. 16 (3) (2023)
Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. Artif. Intell. 325 (2023)
Thommen George Karimpanal, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh
LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying. CoRR (2023)
Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh
Generative Pseudo-Inverse Memory. ICLR (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)
Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
Fast Conditional Network Compression Using Bayesian HyperNetworks. CoRR (2022)
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring. CoRR (2022)
Kha Pham, Hung Le, Man Ngo, Truyen Tran
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. CoRR (2022)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR (2022)
Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
Persistent-Transient Duality in Human Behavior Modeling. CoRR (2022)
Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran
Video Dialog as Conversation about Objects Living in Space-Time. CoRR (2022)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS (2022)
Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
Persistent-Transient Duality in Human Behavior Modeling. CVPR Workshops (2022)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Learning Theory of Mind via Dynamic Traits Attribution. CoRR (2022)
Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
Learning to Transfer Role Assignment Across Team Sizes. CoRR (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)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) (2022)
Kha Pham, Hung Le, Man Ngo, Truyen Tran
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. NeurIPS (2022)
Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran
Video Dialog as Conversation About Objects Living in Space-Time. ECCV (39) (2022)
Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
Learning to Transfer Role Assignment Across Team Sizes. AAMAS (2022)
Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran
Guiding Visual Question Answering with Attention Priors. CoRR (2022)
Tri Minh Nguyen, Thin Nguyen, Truyen Tran
Learning to Discover Medicines. CoRR (2022)
Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh
A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos. CoRR (2021)
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh
Variational Hyper-encoding Networks. ECML/PKDD (2) (2021)
Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. IJCAI (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)
Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta
DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. ICSOC (2021)
Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
Fast Conditional Network Compression Using Bayesian HyperNetworks. ECML/PKDD (3) (2021)
Romero Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CVPR (2021)
Hung Tran, Vuong Le, Truyen Tran
Goal-driven Long-Term Trajectory Prediction. WACV (2021)
Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. CoRR (2021)
Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh
Knowledge Distillation with Distribution Mismatch. ECML/PKDD (2) (2021)
Kien Do, Truyen Tran, Svetha Venkatesh
Clustering by Maximizing Mutual Information Across Views. CoRR (2021)
Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran
Object-Centric Representation Learning for Video Question Answering. CoRR (2021)
Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets. CoRR (2021)
Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS (2021)
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. Int. J. Comput. Vis. 129 (11) (2021)
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Chaiyong Ragkhitwetsagul, Aditya Ghose
Automatically recommending components for issue reports using deep learning. Empir. Softw. Eng. 26 (1) (2021)
Romero Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CoRR (2021)
Kien Do, Truyen Tran, Svetha Venkatesh
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. AAAI (2021)
Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction. CoRR (2021)
Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran
Object-Centric Representation Learning for Video Question Answering. IJCNN (2021)
Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh
A Spatio-Temporal Attention-Based Model for Infant Movement Assessment From Videos. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose
Automatic Feature Learning for Predicting Vulnerable Software Components. IEEE Trans. Software Eng. 47 (1) (2021)
Kien Do, Truyen Tran, Svetha Venkatesh
Clustering by Maximizing Mutual Information Across Views. ICCV (2021)
Truyen Tran, Vuong Le, Hung Le, Thao Minh Le
From Deep Learning to Deep Reasoning. KDD (2021)
Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR (2021)
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh
HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network. CoRR (2020)
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
Dynamic Language Binding in Relational Visual Reasoning. CoRR (2020)
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
Hierarchical Conditional Relation Networks for Video Question Answering. CoRR (2020)
Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran
Unsupervised Anomaly Detection on Temporal Multiway Data. SSCI (2020)
Hung Le, Truyen Tran, Svetha Venkatesh
Self-Attentive Associative Memory. ICML (2020)
Anh-Cat Le-Ngo, Truyen Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh
Logically Consistent Loss for Visual Question Answering. CoRR (2020)
Hoang Thanh-Tung, Truyen Tran
Toward a Generalization Metric for Deep Generative Models. CoRR (2020)
Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. IJCNN (2020)
Hung Le, Truyen Tran, Svetha Venkatesh
Self-Attentive Associative Memory. CoRR (2020)
Hung Tran, Vuong Le, Truyen Tran
Goal-driven Long-Term Trajectory Prediction. CoRR (2020)
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. CoRR (2020)
Hung Le, Truyen Tran, Svetha Venkatesh
Neural Stored-program Memory. ICLR (2020)
Romero Morais, Vuong Le, Truyen Tran, Svetha Venkatesh
Learning to Abstract and Predict Human Actions. CoRR (2020)
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
Hierarchical Conditional Relation Networks for Video Question Answering. CVPR (2020)
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
Neural Reasoning, Fast and Slow, for Video Question Answering. IJCNN (2020)
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
Dynamic Language Binding in Relational Visual Reasoning. IJCAI (2020)
Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran
Unsupervised Anomaly Detection on Temporal Multiway Data. CoRR (2020)
Kien Do, Truyen Tran
Theory and Evaluation Metrics for Learning Disentangled Representations. ICLR (2020)
Romero Morais, Vuong Le, Truyen Tran, Svetha Venkatesh
Learning to Abstract and Predict Human Actions. BMVC (2020)
Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. ACML (2020)
Kien Do, Truyen Tran, Svetha Venkatesh
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. CoRR (2020)
Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. CoRR (2020)
Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. CoRR (2020)
Hoang Thanh-Tung, Truyen Tran
Catastrophic forgetting and mode collapse in GANs. IJCNN (2020)
Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei
Towards effective AI-powered agile project management. ICSE (NIER) (2019)
Kien Do, Truyen Tran, Svetha Venkatesh
Graph Transformation Policy Network for Chemical Reaction Prediction. KDD (2019)
Hung Le, Truyen Tran, Svetha Venkatesh
Neural Stored-program Memory. CoRR (2019)
Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CoRR (2019)
Hung Le, Truyen Tran, Svetha Venkatesh
Learning to Remember More with Less Memorization. ICLR (2019)
Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. CoRR (2019)
Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CVPR (2019)
Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
Improving Generalization and Stability of Generative Adversarial Networks. CoRR (2019)
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies
A Deep Learning Model for Estimating Story Points. IEEE Trans. Software Eng. 45 (7) (2019)
Kien Do, Truyen Tran
Theory and Evaluation Metrics for Learning Disentangled Representations. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Truyen Tran