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ORCIDTruyen Tran 0001
Tran The Truyen
Person information
- affiliation: Deakin University, Center for Pattern Recognition and Data Analyticss (PRaDA), Geelong, Australia
- affiliation (PhD 2008): Curtin University of Technology, Department of Computing, Perth, Australia
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2020 – today
- 2023
[c84]Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Guiding Visual Question Answering with Attention Priors. WACV 2023: 4370-4379- [i94]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. CoRR abs/2301.06926 (2023) - 2022
- [j25]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) - [j24]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): 718-728 (2022) - [c83]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS 2022: 954-962 - [c82]Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran:
Learning to Transfer Role Assignment Across Team Sizes. AAMAS 2022: 963-971 - [c81]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality in Human Behavior Modeling. CVPR Workshops 2022: 2527-2530 - [c80]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: 283-300 - [c79]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: 710-726 - [c78]Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh:
Generative Pseudo-Inverse Memory. ICLR 2022 - [i93]Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring. CoRR abs/2202.01195 (2022) - [i92]Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Learning to Discover Medicines. CoRR abs/2202.07096 (2022) - [i91]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 abs/2202.12154 (2022) - [i90]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. CoRR abs/2204.09047 (2022) - [i89]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality in Human Behavior Modeling. CoRR abs/2204.09875 (2022) - [i88]Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran:
Learning to Transfer Role Assignment Across Team Sizes. CoRR abs/2204.12937 (2022) - [i87]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 abs/2205.06404 (2022) - [i86]Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Guiding Visual Question Answering with Attention Priors. CoRR abs/2205.12616 (2022) - [i85]Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran:
Video Dialog as Conversation about Objects Living in Space-Time. CoRR abs/2207.03656 (2022) - [i84]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 abs/2209.10359 (2022) - [i83]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. CoRR abs/2210.12739 (2022) - 2021
- [j23]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): 14 (2021) - [j22]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. Int. J. Comput. Vis. 129(11): 3027-3050 (2021) - [j21]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): 2841-2847 (2021) - [j20]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): 3911-3920 (2021) - [j19]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): 67-85 (2021) - [c77]Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. AAAI 2021: 7236-7244 - [c76]Romero Morais, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CVPR 2021: 16041-16050 - [c75]Kien Do, Truyen Tran, Svetha Venkatesh:
Clustering by Maximizing Mutual Information Across Views. ICCV 2021: 9908-9918 - [c74]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: 19-33 - [c73]Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran:
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. IJCAI 2021: 636-642 - [c72]Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran:
Object-Centric Representation Learning for Video Question Answering. IJCNN 2021: 1-8 - [c71]Truyen Tran, Vuong Le, Hung Le, Thao Minh Le:
From Deep Learning to Deep Reasoning. KDD 2021: 4076-4077 - [c70]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS 2021: 30313-30325 - [c69]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh:
Variational Hyper-encoding Networks. ECML/PKDD (2) 2021: 100-115 - [c68]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: 250-265 - [c67]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: 330-345 - [c66]Hung Tran, Vuong Le, Truyen Tran:
Goal-driven Long-Term Trajectory Prediction. WACV 2021: 796-805 - [i82]Romero Morais, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CoRR abs/2103.02758 (2021) - [i81]Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran:
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction. CoRR abs/2103.12983 (2021) - [i80]Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran:
Object-Centric Representation Learning for Video Question Answering. CoRR abs/2104.05166 (2021) - [i79]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 abs/2105.09783 (2021) - [i78]Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran:
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. CoRR abs/2106.13432 (2021) - [i77]Kien Do, Truyen Tran, Svetha Venkatesh:
Clustering by Maximizing Mutual Information Across Views. CoRR abs/2107.11635 (2021) - [i76]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR abs/2111.02104 (2021) - [i75]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 abs/2111.02787 (2021) - 2020
- [c65]Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran:
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. ACML 2020: 33-48 - [c64]Romero Morais, Vuong Le, Truyen Tran, Svetha Venkatesh:
Learning to Abstract and Predict Human Actions. BMVC 2020 - [c63]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Video Question Answering. CVPR 2020: 9969-9978 - [c62]Kien Do, Truyen Tran:
Theory and Evaluation Metrics for Learning Disentangled Representations. ICLR 2020 - [c61]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. ICLR 2020 - [c60]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. ICML 2020: 5682-5691 - [c59]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Dynamic Language Binding in Relational Visual Reasoning. IJCAI 2020: 818-824 - [c58]Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh:
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. IJCNN 2020: 1-10 - [c57]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Neural Reasoning, Fast and Slow, for Video Question Answering. IJCNN 2020: 1-8 - [c56]Hoang Thanh-Tung, Truyen Tran:
Catastrophic forgetting and mode collapse in GANs. IJCNN 2020: 1-10 - [c55]Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran:
Unsupervised Anomaly Detection on Temporal Multiway Data. SSCI 2020: 1059-1066 - [i74]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. CoRR abs/2002.03519 (2020) - [i73]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Video Question Answering. CoRR abs/2002.10698 (2020) - [i72]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Dynamic Language Binding in Relational Visual Reasoning. CoRR abs/2004.14603 (2020) - [i71]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh:
HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network. CoRR abs/2005.08482 (2020) - [i70]Romero Morais, Vuong Le, Truyen Tran, Svetha Venkatesh:
Learning to Abstract and Predict Human Actions. CoRR abs/2008.09234 (2020) - [i69]Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran:
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. CoRR abs/2009.07445 (2020) - [i68]Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran:
Unsupervised Anomaly Detection on Temporal Multiway Data. CoRR abs/2009.09443 (2020) - [i67]Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran:
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. CoRR abs/2009.12146 (2020) - [i66]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. CoRR abs/2010.10019 (2020) - [i65]Hoang Thanh-Tung, Truyen Tran:
Toward a Generalization Metric for Deep Generative Models. CoRR abs/2011.00754 (2020) - [i64]Hung Tran, Vuong Le, Truyen Tran:
Goal-driven Long-Term Trajectory Prediction. CoRR abs/2011.02751 (2020) - [i63]Anh-Cat Le-Ngo, Truyen Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Logically Consistent Loss for Visual Question Answering. CoRR abs/2011.10094 (2020) - [i62]Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. CoRR abs/2012.01793 (2020)
2010 – 2019
- 2019
- [j18]Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Attentional multilabel learning over graphs: a message passing approach. Mach. Learn. 108(10): 1757-1781 (2019) - [j17]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): 637-656 (2019) - [c54]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: 11996-12004 - [c53]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. ICLR 2019 - [c52]Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh:
Improving Generalization and Stability of Generative Adversarial Networks. ICLR (Poster) 2019 - [c51]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. ICSE (NIER) 2019: 41-44 - [c50]Kien Do, Truyen Tran, Svetha Venkatesh:
Graph Transformation Policy Network for Chemical Reaction Prediction. KDD 2019: 750-760 - [c49]Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John C. Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim:
Lessons learned from using a deep tree-based model for software defect prediction in practice. MSR 2019: 46-57 - [c48]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Matthew Barnett, Svetha Venkatesh:
Incomplete Conditional Density Estimation for Fast Materials Discovery. SDM 2019: 549-557 - [i61]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. CoRR abs/1901.01347 (2019) - [i60]Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh:
Improving Generalization and Stability of Generative Adversarial Networks. CoRR abs/1902.03984 (2019) - [i59]Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh:
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CoRR abs/1903.03295 (2019) - [i58]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. CoRR abs/1906.08862 (2019) - [i57]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning to Reason with Relational Video Representation for Question Answering. CoRR abs/1907.04553 (2019) - [i56]Kien Do, Truyen Tran:
Theory and Evaluation Metrics for Learning Disentangled Representations. CoRR abs/1908.09961 (2019) - [i55]Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh:
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. CoRR abs/1909.04307 (2019) - 2018
- [j16]Kien Do, Truyen Tran, Svetha Venkatesh:
Energy-based anomaly detection for mixed data. Knowl. Inf. Syst. 57(2): 413-435 (2018) - [j15]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose, John Grundy:
Predicting Delivery Capability in Iterative Software Development. IEEE Trans. Software Eng. 44(6): 551-573 (2018) - [c47]Kien Do, Truyen Tran, Svetha Venkatesh:
Knowledge Graph Embedding with Multiple Relation Projections. ICPR 2018: 332-337 - [c46]Trang Pham, Truyen Tran, Svetha Venkatesh:
Graph Memory Networks for Molecular Activity Prediction. ICPR 2018: 639-644 - [c45]Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Explainable software analytics. ICSE (NIER) 2018: 53-56 - [c44]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose:
Predicting components for issue reports using deep learning with information retrieval. ICSE (Companion Volume) 2018: 244-245 - [c43]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. IJCNN 2018: 1-9 - [c42]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. KDD 2018: 1637-1645 - [c41]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. NeurIPS 2018: 1515-1525 - [c40]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. PAKDD (3) 2018: 273-284 - [i54]Trang Pham, Truyen Tran, Svetha Venkatesh:
Graph Memory Networks for Molecular Activity Prediction. CoRR abs/1801.02622 (2018) - [i53]Kien Do, Truyen Tran, Svetha Venkatesh:
Knowledge Graph Embedding with Multiple Relation Projections. CoRR abs/1801.08641 (2018) - [i52]Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Explainable Software Analytics. CoRR abs/1802.00603 (2018) - [i51]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. CoRR abs/1802.00662 (2018) - [i50]Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim:
A deep tree-based model for software defect prediction. CoRR abs/1802.00921 (2018) - [i49]Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta:
Memory-Augmented Neural Networks for Predictive Process Analytics. CoRR abs/1802.00938 (2018) - [i48]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. CoRR abs/1802.00948 (2018) - [i47]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. CoRR abs/1802.03689 (2018) - [i46]Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Attentional Multilabel Learning over Graphs: A Message Passing Approach. CoRR abs/1804.00293 (2018) - [i45]Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh:
On catastrophic forgetting and mode collapse in Generative Adversarial Networks. CoRR abs/1807.04015 (2018) - [i44]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. CoRR abs/1807.09950 (2018) - [i43]Trang Pham, Truyen Tran, Svetha Venkatesh:
Relational dynamic memory networks. CoRR abs/1808.04247 (2018) - [i42]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Hybrid Generative-Discriminative Models for Inverse Materials Design. CoRR abs/1811.06060 (2018) - [i41]Kien Do, Truyen Tran, Svetha Venkatesh:
Graph Transformation Policy Network for Chemical Reaction Prediction. CoRR abs/1812.09441 (2018) - [i40]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. CoRR abs/1812.10578 (2018) - 2017
- [j14]Truyen Tran, Dinh Quoc Phung, Hung Bui, Svetha Venkatesh:
Hierarchical semi-Markov conditional random fields for deep recursive sequential data. Artif. Intell. 246: 53-85 (2017) - [j13]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Predicting the delay of issues with due dates in software projects. Empir. Softw. Eng. 22(3): 1223-1263 (2017) - [j12]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Predicting healthcare trajectories from medical records: A deep learning approach. J. Biomed. Informatics 69: 218-229 (2017) - [j11]Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang:
Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. 106(4): 523-546 (2017) - [j10]Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang:
Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. 106(4): 547 (2017) - [j9]Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, Svetha Venkatesh:
Deepr: A Convolutional Net for Medical Records. IEEE J. Biomed. Health Informatics 21(1): 22-30 (2017) - [c39]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Column Networks for Collective Classification. AAAI 2017: 2485-2491 - [c38]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Deep Learning to Attend to Risk in ICU. KHD@IJCAI 2017: 25-29 - [i39]Trang Pham, Truyen Tran, Svetha Venkatesh:
One Size Fits Many: Column Bundle for Multi-X Learning. CoRR abs/1702.07021 (2017) - [i38]Kien Do, Truyen Tran, Svetha Venkatesh:
Matrix-centric Neural Networks. CoRR abs/1703.01454 (2017) - [i37]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Deep Learning to Attend to Risk in ICU. CoRR abs/1707.05010 (2017) - [i36]Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose:
Automatic feature learning for vulnerability prediction. CoRR abs/1708.02368 (2017) - [i35]Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh:
Graph Classification via Deep Learning with Virtual Nodes. CoRR abs/1708.04357 (2017) - [i34]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Statistical Latent Space Approach for Mixed Data Modelling and Applications. CoRR abs/1708.05594 (2017)