Truyen Tran - RankMe

248 papers A* 37A 16B 8C 10Misc 1Journal 148Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChargeFlow: Flow-Matching Refinement of Charge-Conditioned Electron Densities. CoRR Tri Minh Nguyen, Sherif Abdulkader Tawfik, Truyen Tran, Svetha Venkatesh
2026	J	`jnl`	Curvature-Aware Safety Restoration In LLMs Fine-Tuning. Trans. Mach. Learn. Res. Thong Bach, Thanh Nguyen-Tang, Dung Nguyen, Thao Minh Le, Truyen Tran
2026	J	`jnl`	FrameDiT: Diffusion Transformer with Frame-Level Matrix Attention for Efficient Video Generation. CoRR Minh Khoa Le, Kien Do, Duc Thanh Nguyen, Truyen Tran
2026	J	`jnl`	Physics-informed Machine Learning for Medical Image Analysis. ACM Comput. Surv. Chayan Banerjee, Kien Nguyen, Olivier Salvado, Truyen Tran, Clinton Fookes
2026	A*	`conf`	Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning. AAAI Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran
2026	A*	`conf`	Robust SDE Parameter Estimation Under Missing Time Information Setting. AAAI Long Van Tran, Truyen Tran, Phuoc Nguyen
2026	J	`jnl`	Robust SDE Parameter Estimation Under Missing Time Information Setting. CoRR Long Van Tran, Truyen Tran, Phuoc Nguyen
2026	J	`jnl`	Score-based Integrated Gradient for Root Cause Explanations of Outliers. CoRR Phuoc Nguyen, Truyen Tran, Sunil Gupta, Svetha Venkatesh
2025	J	`jnl`	Curvature-Aware Safety Restoration In LLMs Fine-Tuning. CoRR Thong Bach, Thanh Nguyen-Tang, Dung Nguyen, Thao Minh Le, Truyen Tran
2025	J	`jnl`	Finding the Trigger: Causal Abductive Reasoning on Video Events. CoRR Thao Minh Le, Vuong Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	J	`jnl`	Fine-Grained Fidgety Movement Classification Using Active Learning. IEEE J. Biomed. Health Informatics Romero F. A. B. de Morais, Truyen Tran, Caroline Alexander, Natasha Amery, Catherine Morgan, Alicia J. Spittle, Vuong Le, Nadia Badawi, Alison Salt, Jane Valentine, Catherine Elliott, Elizabeth M. Hurrion, Paul A. Dawson, Svetha Venkatesh
2025	J	`jnl`	LaGR-SEQ: Language-guided reinforcement learning with sample-efficient querying. Neural Comput. Appl. Thommen Karimpanal George, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh
2025	A*	`conf`	Learning Structural Causal Models from Ordering: Identifiable Flow Models. AAAI Minh Khoa Le, Kien Do, Truyen Tran
2025	A	`conf`	Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. AAMAS Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	A*	`conf`	Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences. IJCAI Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2025	J	`jnl`	On the Role of Discrete Representation in Sparse Mixture of Experts. Trans. Mach. Learn. Res. Giang Do, Kha Pham, Hung Le, Truyen Tran
2025	A	`conf`	Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos. ECAI Tuyen Tran, Thao Minh Le, Quang-Hung Le, Truyen Tran
2025	J	`jnl`	Planner-Refiner: Dynamic Space-Time Refinement for Vision-Language Alignment in Videos. CoRR Tuyen Tran, Thao Minh Le, Quang-Hung Le, Truyen Tran
2025	A*	`conf`	Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models. AAAI Quang-Hung Le, Long Hoang Dang, Ngan Hoang Le, Truyen Tran, Thao Minh Le
2025	A*	`conf`	Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering. ICLR Kha Pham, Hung Le, Man Ngo, Truyen Tran
2025	J	`jnl`	Rethinking Deep Alignment Through The Lens Of Incomplete Learning. CoRR Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran
2025	J	`jnl`	S2MoE: Robust Sparse Mixture of Experts via Stochastic Learning. CoRR Giang Do, Hung Le, Truyen Tran
2025	A*	`conf`	Score-Based Integrated Gradient for Root Cause Explanations of Outliers. ICDM Phuoc Nguyen, Truyen Tran, Sunil Gupta, Svetha Venkatesh
2025	—	`conf`	SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse. NAACL (Findings) Giang Do, Hung Le, Truyen Tran
2025	J	`jnl`	Sparse Mixture of Experts as Unified Competitive Learning. CoRR Giang Do, Hung Le, Truyen Tran
2025	J	`jnl`	Towards Agentic AI for Multimodal-Guided Video Object Segmentation. CoRR Tuyen Tran, Thao Minh Le, Truyen Tran
2024	A*	`conf`	Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. IJCAI Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2024	J	`jnl`	Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks. CoRR Tri Minh Nguyen, Sherif Abdulkader Tawfik, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
2024	J	`jnl`	Learning Structural Causal Models from Ordering: Identifiable Flow Models. CoRR Minh Khoa Le, Kien Do, Truyen Tran
2024	J	`jnl`	Learning evolving relations for multivariate time series forecasting. Appl. Intell. Binh Nguyen-Thai, Vuong Le, Ngoc-Dung T. Tieu, Truyen Tran, Svetha Venkatesh, Naeem Ramzan
2024	J	`jnl`	MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting. CoRR Thang Nguyen, Dung Nguyen, Kha Pham, Truyen Tran
2024	Misc	`conf`	MP-PINN: A Multi-phase Physics-Informed Neural Network for Epidemic Forecasting. AusDM Thang Nguyen, Dung Nguyen, Kha Pham, Truyen Tran
2024	J	`jnl`	On the effectiveness of discrete representations in sparse mixture of experts. CoRR Giang Do, Kha Pham, Hung Le, Truyen Tran
2024	J	`jnl`	PINNs for Medical Image Analysis: A Survey. CoRR Chayan Banerjee, Kien Nguyen Thanh, Olivier Salvado, Truyen Tran, Clinton Fookes
2024	J	`jnl`	Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory. Trans. Mach. Learn. Res. Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
2024	J	`jnl`	Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand. BMC Medical Informatics Decis. Mak. Nhung Nghiem, Nick Wilson, Jeremy Krebs, Truyen Tran
2024	J	`jnl`	Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models. CoRR Quang-Hung Le, Long Hoang Dang, Ngan Le, Truyen Tran, Thao Minh Le
2024	A	`conf`	Revisiting the Dataset Bias Problem from a Statistical Perspective. ECAI Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	J	`jnl`	Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2024	A*	`conf`	Root Cause Explanation of Outliers under Noisy Mechanisms. AAAI Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
2024	J	`jnl`	SADL: An Effective In-Context Learning Method for Compositional Visual QA. CoRR Long Hoang Dang, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran
2024	J	`jnl`	SimSMoE: Solving Representational Collapse via Similarity Measure. CoRR Giang Do, Hung Le, Truyen Tran
2024	A	`conf`	Unified Compositional Query Machine with Multimodal Consistency for Video-based Human Activity Recognition. BMVC Tuyen Tran, Thao Minh Le, Duy Hung Tran, Truyen Tran
2024	J	`jnl`	Unified Framework with Consistency across Modalities for Human Activity Recognition. CoRR Tuyen Tran, Thao Minh Le, Hung Tran, Truyen Tran
2023	J	`jnl`	Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. Artif. Intell. Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2023	J	`jnl`	Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples. IEEE ACM Trans. Comput. Biol. Bioinform. Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran
2023	A	`conf`	Guiding Visual Question Answering with Attention Priors. WACV Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2023	A*	`conf`	Improving Out-of-distribution Generalization with Indirection Representations. ICLR Kha Pham, Hung Le, Man Ngo, Truyen Tran
2023	J	`jnl`	LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying. CoRR Thommen George Karimpanal, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh
2023	J	`jnl`	Learning to discover medicines. Int. J. Data Sci. Anal. Tri Minh Nguyen, Thin Nguyen, Truyen Tran
2023	A*	`conf`	Memory-Augmented Theory of Mind Network. AAAI Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Memory-Augmented Theory of Mind Network. CoRR Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	A*	`conf`	Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. ICCV Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. CoRR Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
2023	J	`jnl`	Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection. IEEE J. Biomed. Health Informatics 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
2023	J	`jnl`	Root Cause Explanation of Outliers under Noisy Mechanisms. CoRR Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
2023	A*	`conf`	Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2023	—	`conf`	Vision: Requirements Engineering for Software Development in Aged Care. REW John C. Grundy, Anuradha Madugalla, Jennifer McIntosh, Truyen Tran
2022	J	`jnl`	Fast Conditional Network Compression Using Bayesian HyperNetworks. CoRR Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
2022	A*	`conf`	Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. NeurIPS Kha Pham, Hung Le, Man Ngo, Truyen Tran
2022	J	`jnl`	Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. CoRR Kha Pham, Hung Le, Man Ngo, Truyen Tran
2022	J	`jnl`	GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran
2022	A*	`conf`	Generative Pseudo-Inverse Memory. ICLR Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh
2022	J	`jnl`	Guiding Visual Question Answering with Attention Priors. CoRR Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran
2022	A	`conf`	Learning Theory of Mind via Dynamic Traits Attribution. AAMAS Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Learning Theory of Mind via Dynamic Traits Attribution. CoRR Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Learning to Discover Medicines. CoRR Tri Minh Nguyen, Thin Nguyen, Truyen Tran
2022	A	`conf`	Learning to Transfer Role Assignment Across Team Sizes. AAMAS Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Learning to Transfer Role Assignment Across Team Sizes. CoRR Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring. CoRR Tri Minh Nguyen, Thin Nguyen, Truyen Tran
2022	J	`jnl`	Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring. Briefings Bioinform. Tri Minh Nguyen, Thin Nguyen, Truyen Tran
2022	A*	`conf`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	J	`jnl`	Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
2022	—	`conf`	Persistent-Transient Duality in Human Behavior Modeling. CVPR Workshops Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
2022	J	`jnl`	Persistent-Transient Duality in Human Behavior Modeling. CoRR Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
2022	—	`conf`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2022	J	`jnl`	Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
2022	—	`conf`	Video Dialog as Conversation About Objects Living in Space-Time. ECCV (39) Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran
2022	J	`jnl`	Video Dialog as Conversation about Objects Living in Space-Time. CoRR Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran
2021	J	`jnl`	A Spatio-Temporal Attention-Based Model for Infant Movement Assessment From Videos. IEEE J. Biomed. Health Informatics Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos. CoRR Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	Automatic Feature Learning for Predicting Vulnerable Software Components. IEEE Trans. Software Eng. Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose
2021	J	`jnl`	Automatically recommending components for issue reports using deep learning. Empir. Softw. Eng. Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Chaiyong Ragkhitwetsagul, Aditya Ghose
2021	J	`jnl`	Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets. CoRR Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2021	A*	`conf`	Clustering by Maximizing Mutual Information Across Views. ICCV Kien Do, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	Clustering by Maximizing Mutual Information Across Views. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction. CoRR Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran
2021	A	`conf`	DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. ICSOC Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta
2021	—	`conf`	Fast Conditional Network Compression Using Bayesian HyperNetworks. ECML/PKDD (3) Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
2021	A*	`conf`	From Deep Learning to Deep Reasoning. KDD Truyen Tran, Vuong Le, Hung Le, Thao Minh Le
2021	A	`conf`	Goal-driven Long-Term Trajectory Prediction. WACV Hung Tran, Vuong Le, Truyen Tran
2021	J	`jnl`	Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. Int. J. Comput. Vis. Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2021	A*	`conf`	Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. IJCAI Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran
2021	J	`jnl`	Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. CoRR Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran
2021	—	`conf`	Knowledge Distillation with Distribution Mismatch. ECML/PKDD (2) Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh
2021	A*	`conf`	Learning Asynchronous and Sparse Human-Object Interaction in Videos. CVPR Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
2021	J	`jnl`	Learning Asynchronous and Sparse Human-Object Interaction in Videos. CoRR Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
2021	A*	`conf`	Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
2021	J	`jnl`	Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
2021	B	`conf`	Object-Centric Representation Learning for Video Question Answering. IJCNN Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran
2021	J	`jnl`	Object-Centric Representation Learning for Video Question Answering. CoRR Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran
2021	J	`jnl`	PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse. IEEE ACM Trans. Comput. Biol. Bioinform. Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le
2021	A*	`conf`	Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. AAAI Kien Do, Truyen Tran, Svetha Venkatesh
2021	—	`conf`	Variational Hyper-encoding Networks. ECML/PKDD (2) Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh
2020	B	`conf`	Catastrophic forgetting and mode collapse in GANs. IJCNN Hoang Thanh-Tung, Truyen Tran
2020	A*	`conf`	Dynamic Language Binding in Relational Visual Reasoning. IJCAI Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	J	`jnl`	Dynamic Language Binding in Relational Visual Reasoning. CoRR Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	J	`jnl`	GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. CoRR Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran
2020	J	`jnl`	Goal-driven Long-Term Trajectory Prediction. CoRR Hung Tran, Vuong Le, Truyen Tran
2020	J	`jnl`	Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. CoRR Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	A*	`conf`	Hierarchical Conditional Relation Networks for Video Question Answering. CVPR Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	J	`jnl`	Hierarchical Conditional Relation Networks for Video Question Answering. CoRR Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	J	`jnl`	HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network. CoRR Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh
2020	B	`conf`	Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. IJCNN Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2020	A	`conf`	Learning to Abstract and Predict Human Actions. BMVC Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Learning to Abstract and Predict Human Actions. CoRR Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Logically Consistent Loss for Visual Question Answering. CoRR Anh-Cat Le-Ngo, Truyen Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh
2020	B	`conf`	Neural Reasoning, Fast and Slow, for Video Question Answering. IJCNN Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2020	A*	`conf`	Neural Stored-program Memory. ICLR Hung Le, Truyen Tran, Svetha Venkatesh
2020	A*	`conf`	Self-Attentive Associative Memory. ICML Hung Le, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Self-Attentive Associative Memory. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2020	J	`jnl`	Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2020	A*	`conf`	Theory and Evaluation Metrics for Learning Disentangled Representations. ICLR Kien Do, Truyen Tran
2020	C	`conf`	Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. ACML Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran
2020	J	`jnl`	Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. CoRR Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran
2020	J	`jnl`	Toward a Generalization Metric for Deep Generative Models. CoRR Hoang Thanh-Tung, Truyen Tran
2020	—	`conf`	Unsupervised Anomaly Detection on Temporal Multiway Data. SSCI Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran
2020	J	`jnl`	Unsupervised Anomaly Detection on Temporal Multiway Data. CoRR Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran
2019	J	`jnl`	A Deep Learning Model for Estimating Story Points. IEEE Trans. Software Eng. Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies
2019	J	`jnl`	Attentional multilabel learning over graphs: a message passing approach. Mach. Learn. Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2019	A*	`conf`	Graph Transformation Policy Network for Chemical Reaction Prediction. KDD Kien Do, Truyen Tran, Svetha Venkatesh
2019	—	`conf`	Improving Generalization and Stability of Generative Adversarial Networks. ICLR (Poster) Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Improving Generalization and Stability of Generative Adversarial Networks. CoRR Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
2019	A	`conf`	Incomplete Conditional Density Estimation for Fast Materials Discovery. SDM Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Matthew Barnett, Svetha Venkatesh
2019	A*	`conf`	Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CVPR Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh
2019	J	`jnl`	Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CoRR Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh
2019	J	`jnl`	Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. CoRR Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Learning to Reason with Relational Video Representation for Question Answering. CoRR Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
2019	—	`conf`	Learning to Remember More with Less Memorization. ICLR Hung Le, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Learning to Remember More with Less Memorization. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2019	A	`conf`	Lessons learned from using a deep tree-based model for software defect prediction in practice. MSR Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John C. Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim
2019	J	`jnl`	Neural Stored-program Memory. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2019	J	`jnl`	Theory and Evaluation Metrics for Learning Disentangled Representations. CoRR Kien Do, Truyen Tran
2019	—	`conf`	Towards effective AI-powered agile project management. ICSE (NIER) Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei
2018	J	`jnl`	A deep tree-based model for software defect prediction. CoRR Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim
2018	J	`jnl`	Attentional Multilabel Learning over Graphs: A Message Passing Approach. CoRR Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2018	—	`conf`	Dual Control Memory Augmented Neural Networks for Treatment Recommendations. PAKDD (3) Hung Le, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Dual Control Memory Augmented Neural Networks for Treatment Recommendations. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2018	A*	`conf`	Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. KDD Hung Le, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. CoRR Hung Le, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Energy-based anomaly detection for mixed data. Knowl. Inf. Syst. Kien Do, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Explainable Software Analytics. CoRR Hoa Khanh Dam, Truyen Tran, Aditya Ghose
2018	—	`conf`	Explainable software analytics. ICSE (NIER) Hoa Khanh Dam, Truyen Tran, Aditya Ghose
2018	B	`conf`	Graph Memory Networks for Molecular Activity Prediction. ICPR Trang Pham, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Graph Memory Networks for Molecular Activity Prediction. CoRR Trang Pham, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Graph Transformation Policy Network for Chemical Reaction Prediction. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Hybrid Generative-Discriminative Models for Inverse Materials Design. CoRR Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh
2018	B	`conf`	Knowledge Graph Embedding with Multiple Relation Projections. ICPR Kien Do, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Knowledge Graph Embedding with Multiple Relation Projections. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Memory-Augmented Neural Networks for Predictive Process Analytics. CoRR Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta
2018	J	`jnl`	On catastrophic forgetting and mode collapse in Generative Adversarial Networks. CoRR Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Predicting Delivery Capability in Iterative Software Development. IEEE Trans. Software Eng. Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose, John Grundy
2018	—	`conf`	Predicting components for issue reports using deep learning with information retrieval. ICSE (Companion Volume) Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose
2018	J	`jnl`	Relational dynamic memory networks. CoRR Trang Pham, Truyen Tran, Svetha Venkatesh
2018	B	`conf`	Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. IJCNN Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. CoRR Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
2018	J	`jnl`	Towards effective AI-powered agile project management. CoRR Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei
2018	A*	`conf`	Variational Memory Encoder-Decoder. NeurIPS Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2018	J	`jnl`	Variational Memory Encoder-Decoder. CoRR Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh
2017	J	`jnl`	Automatic feature learning for vulnerability prediction. CoRR Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose
2017	A*	`conf`	Column Networks for Collective Classification. AAAI Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2017	—	`conf`	Deep Learning to Attend to Risk in ICU. KDH@IJCAI Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
2017	J	`jnl`	Deep Learning to Attend to Risk in ICU. CoRR Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
2017	J	`jnl`	Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang
2017	J	`jnl`	Finding Algebraic Structure of Care in Time: A Deep Learning Approach. CoRR Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
2017	J	`jnl`	Graph Classification via Deep Learning with Virtual Nodes. CoRR Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh
2017	J	`jnl`	Hierarchical semi-Markov conditional random fields for deep recursive sequential data. Artif. Intell. Truyen Tran, Dinh Quoc Phung, Hung Bui, Svetha Venkatesh
2017	J	`jnl`	Matrix-centric Neural Networks. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2017	J	`jnl`	Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization. CoRR Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2017	J	`jnl`	One Size Fits Many: Column Bundle for Multi-X Learning. CoRR Trang Pham, Truyen Tran, Svetha Venkatesh
2017	J	`jnl`	Predicting healthcare trajectories from medical records: A deep learning approach. J. Biomed. Informatics Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2017	J	`jnl`	Predicting the delay of issues with due dates in software projects. Empir. Softw. Eng. Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose
2017	J	`jnl`	Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang
2017	J	`jnl`	Statistical Latent Space Approach for Mixed Data Modelling and Applications. CoRR Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	A deep language model for software code. CoRR Hoa Khanh Dam, Truyen Tran, Trang Pham
2016	J	`jnl`	A deep learning model for estimating story points. CoRR Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies
2016	J	`jnl`	An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments. CoRR Nguyen Cong Thuong, Truyen Tran, Shivapratap Gopakumar, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Choice by Elimination via Deep Neural Networks. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Collaborative filtering via sparse Markov random fields. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Collaborative filtering via sparse Markov random fields. Inf. Sci. Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Column Networks for Collective Classification. CoRR Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. PAKDD (2) Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. CoRR Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	DeepSoft: A vision for a deep model of software. CoRR Hoa Khanh Dam, Truyen Tran, John Grundy, Aditya K. Ghose
2016	—	`conf`	DeepSoft: a vision for a deep model of software. SIGSOFT FSE Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya K. Ghose
2016	J	`jnl`	Deepr: A Convolutional Net for Medical Records. CoRR Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, Svetha Venkatesh
2016	J	`jnl`	Faster Training of Very Deep Networks Via p-Norm Gates. CoRR Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	B	`conf`	Faster training of very deep networks via p-norm gates. ICPR Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	Forecasting Patient Outflow from Wards having No Real-Time Clinical Data. ICHI Shivapratap Gopakumar, Truyen Tran, Wei Luo, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Graph-induced restricted Boltzmann machines for document modeling. Inf. Sci. Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Learning deep representation of multityped objects and tasks. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach. Knowl. Inf. Syst. Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Multilevel Anomaly Detection for Mixed Data. CoRR Kien Do, Truyen Tran, Svetha Venkatesh
2016	—	`conf`	Neural Choice by Elimination via Highway Networks. PAKDD Workshops Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	C	`conf`	Outlier Detection on Mixed-Type Data: An Energy-Based Approach. ADMA Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Outlier Detection on Mixed-Type Data: An Energy-based Approach. CoRR Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data. MLHC Truyen Tran, Wei Luo, Dinh Q. Phung, Jonathan Morris, Kristen Rickard, Svetha Venkatesh
2016	C	`conf`	Stabilizing Linear Prediction Models Using Autoencoder. ADMA Shivapratap Gopakumar, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2015	A	`conf`	Characterization and Prediction of Issue-Related Risks in Software Projects. MSR Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose
2015	J	`jnl`	Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM). J. Biomed. Informatics Truyen Tran, Tu Dinh Nguyen, Dinh Q. Phung, Svetha Venkatesh
2015	A*	`conf`	Predicting Delays in Software Projects Using Networked Classification (T). ASE Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose
2015	C	`conf`	Preference Relation-based Markov Random Fields for Recommender Systems. ACML Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang
2015	J	`jnl`	Stabilized sparse ordinal regression for medical risk stratification. Knowl. Inf. Syst. Truyen Tran, Dinh Q. Phung, Wei Luo, Svetha Venkatesh
2015	J	`jnl`	Stabilizing High-Dimensional Prediction Models Using Feature Graphs. IEEE J. Biomed. Health Informatics Shivapratap Gopakumar, Truyen Tran, Tu Dinh Nguyen, Dinh Q. Phung, Svetha Venkatesh
2015	—	`conf`	Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records. PAKDD (2) Shivapratap Gopakumar, Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2015	A*	`conf`	Tensor-Variate Restricted Boltzmann Machines. AAAI Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2015	J	`jnl`	Tree-based iterated local search for Markov random fields with applications in image analysis. J. Heuristics Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2015	—	`conf`	Who Will Answer My Question on Stack Overflow? ASWEC Morakot Choetkiertikul, Daniel Avery, Hoa Khanh Dam, Truyen Tran, Aditya K. Ghose
2014	J	`jnl`	A framework for feature extraction from hospital medical data with applications in risk prediction. BMC Bioinform. Truyen Tran, Wei Luo, Dinh Q. Phung, Sunil Gupta, Santu Rana, Richard Kennedy, Ann Larkins, Svetha Venkatesh
2014	J	`jnl`	Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Global optimization using Lévy flights. CoRR Truyen Tran, Trung Thanh Nguyen, Hoang Linh Nguyen
2014	J	`jnl`	Learning From Ordered Sets and Applications in Collaborative Ranking. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Learning Rank Functionals: An Empirical Study. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Learning Structured Outputs from Partial Labels using Forest Ensemble. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	MCMC for Hierarchical Semi-Markov Conditional Random Fields. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
2014	J	`jnl`	Mixed-Variate Restricted Boltzmann Machines. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	C	`conf`	Ordinal Random Fields for Recommender Systems. ACML Shaowu Liu, Truyen Tran, Gang Li
2014	J	`jnl`	Permutation Models for Collaborative Ranking. CoRR Truyen Tran, Svetha Venkatesh
2014	J	`jnl`	Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records. CoRR Shivapratap Gopakumar, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	J	`jnl`	Tree-based iterated local search for Markov random fields with applications in image analysis. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2014	—	`conf`	iPoll: Automatic Polling Using Online Search. WISE (1) Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh
2013	A*	`conf`	An integrated framework for suicide risk prediction. KDD Truyen Tran, Dinh Q. Phung, Wei Luo, Richard Harvey, Michael Berk, Svetha Venkatesh
2013	—	`conf`	Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine. PAKDD (1) Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2013	C	`conf`	Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine. ACML Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2013	A	`conf`	Learning sparse latent representation and distance metric for image retrieval. ICME Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2013	—	`conf`	Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. ICML (2) Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2012	A*	`conf`	A Sequential Decision Approach to Ordinal Preferences in Recommender Systems. AAAI Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2012	C	`conf`	Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis. ACML Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2012	C	`conf`	Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis. FUSION Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2012	A	`conf`	Learning Boltzmann Distance Metric for Face Recognition. ICME Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2012	C	`conf`	Learning From Ordered Sets and Applications in Collaborative Ranking. ACML Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2011	C	`conf`	Mixed-Variate Restricted Boltzmann Machines. ACML Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2011	A	`conf`	Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering. SDM Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
2010	—	`conf`	Classification and Pattern Discovery of Mood in Weblogs. PAKDD (2) Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
2010	—	`conf`	Hyper-community detection in the blogosphere. WSM@MM Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh
2010	A*	`conf`	Nonnegative shared subspace learning and its application to social media retrieval. KDD Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh