Hung Hai Bui - RankMe

60 papers A* 10A 5B 7Misc 1Journal 18Unranked 19

Year	Rank	Type	Title / Venue / Authors
2023	Misc	`conf`	On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks. ICASSP Dang Nguyen, Trang Nguyen, Khai Nguyen, Dinh Q. Phung, Hung Hai Bui, Nhat Ho
2023	J	`jnl`	PhoGPT: Generative Pre-training for Vietnamese. CoRR Dat Quoc Nguyen, Linh The Nguyen, Chi Tran, Dung Ngoc Nguyen, Nhung Nguyen, Thien Huu Nguyen, Dinh Q. Phung, Hung Hai Bui
2022	A	`conf`	A Vietnamese-English Neural Machine Translation System. INTERSPEECH Tuan-Duy H. Nguyen, Duy Phung, Duy Tran-Cong Nguyen, Hieu Minh Tran, Manh Luong, Tin Duy Vo, Hung Hai Bui, Dinh Q. Phung, Dat Quoc Nguyen
2017	A*	`conf`	Bottleneck Conditional Density Estimation. ICML Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh
2017	A*	`conf`	Multilevel Clustering via Wasserstein Means. ICML Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin, Hung Hai Bui, Viet Huynh, Dinh Q. Phung
2016	J	`jnl`	Bottleneck Conditional Density Estimation. CoRR Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh
2016	A	`conf`	Scalable Nonparametric Bayesian Multilevel Clustering. UAI Viet Huynh, Dinh Q. Phung, Svetha Venkatesh, XuanLong Nguyen, Matthew D. Hoffman, Hung Hai Bui
2015	—	`conf`	A Bayesian Nonparametric Approach to Multilevel Regression. PAKDD (1) Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
2015	—	`conf`	Efficient Thompson Sampling for Online Matrix-Factorization Recommendation. NIPS Jaya Kawale, Hung Hai Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla
2015	—	`conf`	Learning Conditional Latent Structures from Multiple Data Sources. PAKDD (1) Viet Huynh, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui
2014	J	`jnl`	Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. CoRR Vu Nguyen, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui
2014	A	`conf`	Lifted Tree-Reweighted Variational Inference. UAI Hung Hai Bui, Tuyen N. Huynh, David A. Sontag
2014	J	`jnl`	Lifted Tree-Reweighted Variational Inference. CoRR Hung Hai Bui, Tuyen N. Huynh, David A. Sontag
2014	J	`jnl`	MCMC for Hierarchical Semi-Markov Conditional Random Fields. CoRR Truyen Tran, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
2013	—	`conf`	Organizers. AAAI Workshop: Plan, Activity, and Intent Recognition Hung Hai Bui
2012	J	`jnl`	Automorphism Groups of Graphical Models and Lifted Variational Inference CoRR Hung Hai Bui, Tuyen N. Huynh, Sebastian Riedel
2012	—	`conf`	Automorphism Groups of Graphical Models and Lifted Variational Inference. StarAI@UAI Hung Hai Bui, Tuyen N. Huynh, Sebastian Riedel
2012	A*	`conf`	Exact Lifted Inference with Distinct Soft Evidence on Every Object. AAAI Hung Hai Bui, Tuyen N. Huynh, Rodrigo de Salvo Braz
2011	A*	`conf`	Efficient Methods for Lifted Inference with Aggregate Factors. AAAI Jaesik Choi, Rodrigo de Salvo Braz, Hung Hai Bui
2011	J	`jnl`	Policy Recognition in the Abstract Hidden Markov Model CoRR Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2010	J	`jnl`	Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification. IEEE Trans. Inf. Theory Duc-Son Pham, Hung Hai Bui, Svetha Venkatesh
2010	J	`jnl`	Efficient variable elimination for semi-structured simple temporal networks with continuous domains. Knowl. Eng. Rev. Neil Yorke-Smith, Hung Hai Bui
2010	J	`jnl`	Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data CoRR Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh
2008	—	`conf`	A context-aware personal desktop assistant. AAMAS (Demos) Hung Hai Bui, Federico Cesari, Daniel Elenius, David N. Morley, Sriraam Natarajan, Shahin Saadati, Eric Yeh, Neil Yorke-Smith
2008	B	`conf`	Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition. PRICAI Tran The Truyen, Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh
2008	B	`conf`	Logical Hierarchical Hidden Markov Models for Modeling User Activities. ILP Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong
2008	A	`conf`	Recovering Social Networks From Massive Track Datasets. WACV Christopher I. Connolly, J. Brian Burns, Hung Hai Bui
2008	A*	`conf`	The Hidden Permutation Model and Location-Based Activity Recognition. AAAI Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh, Hai Phan
2006	—	`conf`	AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition. CVPR (2) Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
2006	—	`conf`	Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model. ICPR (3) Thi V. Duong, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh
2005	J	`jnl`	A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures. Multim. Tools Appl. Brett Adams, Svetha Venkatesh, Hung Hai Bui, Chitra Dorai
2005	—	`conf`	Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model. CVPR (1) Thi V. Duong, Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh
2005	J	`jnl`	Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations. EURASIP J. Adv. Signal Process. Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2005	A*	`conf`	Topic transition detection using hierarchical hidden Markov and semi-Markov models. ACM Multimedia Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hung Hai Bui
2004	B	`conf`	Automatically learning structural units in educational videos with the hierarchical hidden markov models. ICIP Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
2004	B	`conf`	Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton. PRICAI Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2004	—	`conf`	Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models. SSPR/SPR Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh
2004	B	`conf`	Explicit State Duration HMM for Abnormality Detection in Sequences of Human Activity. PRICAI Sebastian Lühr, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2004	—	`conf`	Human Action Segmentation via Controlled Use of Missing Data in HMMs. ICPR (4) Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2004	A*	`conf`	Learning Hierarchical Hidden Markov Models with General State Hierarchy. AAAI Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh
2004	—	`conf`	Learning People Movement Model from Multiple Cameras for Behaviour Recognition. SSPR/SPR Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2004	B	`conf`	Segmentation of Intentional Human Gestures for Sports Video Annotation. MMM Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2004	J	`jnl`	Using Interaction Signatures to Find and Label Chairs and Floors. IEEE Pervasive Comput. Patrick Peursum, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2004	J	`jnl`	Using multiple windows to track concept drift. Intell. Data Anal. Mihai M. Lazarescu, Svetha Venkatesh, Hung Hai Bui
2003	A*	`conf`	A General Model for Online Probabilistic Plan Recognition. IJCAI Hung Hai Bui
2003	A	`conf`	Indexing narrative structure and semantics in motion pictures with a probabilistic framework. ICME Brett Adams, Chitra Dorai, Svetha Venkatesh, Hung Hai Bui
2003	A*	`conf`	Object Labelling from Human Action Recognition. PerCom Patrick Peursum, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2003	—	`conf`	Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments. CVPR (2) Nam Thanh Nguyen, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2003	A*	`conf`	Recognition of Human Activity through Hierarchical Stochastic Learning. PerCom Sebastian Lühr, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2002	—	`conf`	Hierarchical Monitoring of People's Behaviors in Complex Environments Using Multiple Cameras. ICPR (1) Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2002	—	`conf`	Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation. ICPR (2) Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
2002	J	`jnl`	Policy Recognition in the Abstract Hidden Markov Model. J. Artif. Intell. Res. Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2001	J	`jnl`	Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model. Int. J. Pattern Recognit. Artif. Intell. Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2000	B	`conf`	A Probabilistic Framework for Tracking in Wide-Area Environments. ICPR Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
2000	—	`conf`	On the Recognition of Abstract Markov Policies. AAAI/IAAI Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
1999	J	`jnl`	Layered dynamic probabilistic networks for spatio-temporal modelling. Intell. Data Anal. Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
1999	J	`jnl`	Learning Other Agents' Preferences in Multi-Agent Negotiation Using the Bayesian Classifier. Int. J. Cooperative Inf. Syst. Hung Hai Bui, Svetha Venkatesh, Dorota H. Kieronska
1997	—	`conf`	A Framework for Coordination and Learning among Teams of Agents. Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications Hung Hai Bui, Svetha Venkatesh, Dorota H. Kieronska
1997	—	`conf`	Optimal Communication Among Team Members. Australian Joint Conference on Artificial Intelligence Hung Hai Bui, Dorota H. Kieronska, Svetha Venkatesh
1996	—	`conf`	Learning other Agents' Preferences in Multiagent Negotiation. AAAI/IAAI, Vol. 1 Hung Hai Bui, Dorota H. Kieronska, Svetha Venkatesh