Hung Hai Bui

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 15

Top Topics

Markov Networks

Conditional Random Fields

Bayesian Nonparametric

Top Venues

Publications

Dat Quoc Nguyen, Linh The Nguyen, Chi Tran, Dung Ngoc Nguyen, Nhung Nguyen, Thien Huu Nguyen, Dinh Q. Phung, Hung Hai Bui
PhoGPT: Generative Pre-training for Vietnamese. CoRR (2023)
Dang Nguyen, Trang Nguyen, Khai Nguyen, Dinh Q. Phung, Hung Hai Bui, Nhat Ho
On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks. ICASSP (2023)
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
A Vietnamese-English Neural Machine Translation System. INTERSPEECH (2022)
Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Hai Bui, Ali Ghodsi
Robust Locally-Linear Controllable Embedding. AISTATS (2018)
Tong Yu, Branislav Kveton, Zheng Wen, Hung Hai Bui, Ole J. Mengshoel
\mathttSpectralLeader : Online Spectral Learning for Single Topic Models. ECML/PKDD (2) (2018)
Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin, Hung Hai Bui, Viet Huynh, Dinh Q. Phung
Multilevel Clustering via Wasserstein Means. ICML (2017)
Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Hai Bui, Ali Ghodsi
Robust Locally-Linear Controllable Embedding. CoRR (2017)
Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh
Bottleneck Conditional Density Estimation. ICML (2017)
Tong Yu, Branislav Kveton, Zheng Wen, Hung Hai Bui, Ole J. Mengshoel
SpectralFPL: Online Spectral Learning for Single Topic Models. CoRR (2017)
Truyen Tran, Dinh Quoc Phung, Hung Hai Bui, Svetha Venkatesh
Hierarchical semi-Markov conditional random fields for deep recursive sequential data. Artif. Intell. 246 (2017)
Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh
Bottleneck Conditional Density Estimation. CoRR (2016)
Branislav Kveton, Hung Hai Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun
Graphical Model Sketch. CoRR (2016)
Branislav Kveton, Hung Hai Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun
Graphical Model Sketch. ECML/PKDD (1) (2016)
Suvash Sedhain, Hung Hai Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton, Aditya Krishna Menon, Trung Bui, Scott Sanner
Practical Linear Models for Large-Scale One-Class Collaborative Filtering. IJCAI (2016)
Viet Huynh, Dinh Q. Phung, Svetha Venkatesh, XuanLong Nguyen, Matthew D. Hoffman, Hung Hai Bui
Scalable Nonparametric Bayesian Multilevel Clustering. UAI (2016)
Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
A Bayesian Nonparametric Approach to Multilevel Regression. PAKDD (1) (2015)
Christopher W. Geib, Vikas Agrawal, Gita Sukthankar, Lokendra Shastri, Hung Hai Bui
Architectures for Activity Recognition and Context-Aware Computing. AI Mag. 36 (2) (2015)
Viet Huynh, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui
Learning Conditional Latent Structures from Multiple Data Sources. PAKDD (1) (2015)
Jaya Kawale, Hung Hai Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation. NIPS (2015)
Tran The Truyen, Hung Hai Bui, Svetha Venkatesh
Boosted Markov Networks for Activity Recognition. CoRR (2014)
Tran The Truyen, Hung Hai Bui, Svetha Venkatesh
Human Activity Learning and Segmentation using Partially Hidden Discriminative Models. CoRR (2014)
Hung Hai Bui, Tuyen N. Huynh, David A. Sontag
Lifted Tree-Reweighted Variational Inference. UAI (2014)
Tien-Vu Nguyen, Dinh Quoc Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. ICML (2014)
Hung Hai Bui, Tuyen N. Huynh, David A. Sontag
Lifted Tree-Reweighted Variational Inference. CoRR (2014)
Vu Nguyen, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. CoRR (2014)
Truyen Tran, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
MCMC for Hierarchical Semi-Markov Conditional Random Fields. CoRR (2014)
Hung Hai Bui, Tuyen N. Huynh, Sebastian Riedel
Automorphism Groups of Graphical Models and Lifted Variational Inference. UAI (2013)
Hung Hai Bui, Tuyen N. Huynh, Sebastian Riedel
Automorphism Groups of Graphical Models and Lifted Variational Inference. CoRR (2013)
Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Hai Bui, Diane J. Cook, Juan Cortés, Christopher W. Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Dimitri Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O'Sullivan, Marc Pickett, Vedran Podobnik, David Poole, Lokendra Shastri, Amarda Shehu, Gita Sukthankar
The AAAI-13 Conference Workshops. AI Mag. 34 (4) (2013)
Hung Hai Bui
Organizers. AAAI Workshop: Plan, Activity, and Intent Recognition (2013)
Hung Hai Bui, Tuyen N. Huynh, Sebastian Riedel
Automorphism Groups of Graphical Models and Lifted Variational Inference CoRR (2012)
Hung Hai Bui, Tuyen N. Huynh, Sebastian Riedel
Automorphism Groups of Graphical Models and Lifted Variational Inference. StarAI@UAI (2012)
Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
Policy Recognition in the Abstract Hidden Markov Model CoRR (2011)
Jaesik Choi, Rodrigo de Salvo Braz, Hung Hai Bui
Efficient Methods for Lifted Inference with Aggregate Factors. AAAI (2011)
Duc-Son Pham, Hung Hai Bui, Svetha Venkatesh
Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification. IEEE Trans. Inf. Theory 56 (12) (2010)
Neil Yorke-Smith, Hung Hai Bui
Efficient variable elimination for semi-structured simple temporal networks with continuous domains. Knowl. Eng. Rev. 25 (3) (2010)
Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data CoRR (2010)
Omid Madani, Hung Hai Bui, Eric Yeh
Efficient Online Learning and Prediction of Users' Desktop Actions. IJCAI (2009)
Omid Madani, Hung Hai Bui, Eric Yeh
Prediction and Discovery of Users' Desktop Behavior. AAAI Spring Symposium: Human Behavior Modeling (2009)
Thi V. Duong, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh
Efficient duration and hierarchical modeling for human activity recognition. Artif. Intell. 173 (7-8) (2009)
Tran The Truyen, Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh
Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition. PRICAI (2008)
Sriraam Natarajan, Hung Hai Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong
Logical Hierarchical Hidden Markov Models for Modeling User Activities. ILP (2008)
Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data. NIPS (2008)
Hung Hai Bui, Federico Cesari, Daniel Elenius, David N. Morley, Sriraam Natarajan, Shahin Saadati, Eric Yeh, Neil Yorke-Smith
A context-aware personal desktop assistant. AAMAS (Demos) (2008)
Christopher I. Connolly, J. Brian Burns, Hung Hai Bui
Recovering Social Networks From Massive Track Datasets. WACV (2008)
Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh, Hai Phan
The Hidden Permutation Model and Location-Based Activity Recognition. AAAI (2008)
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition. CVPR (2) (2006)
Nam Thanh Nguyen, Svetha Venkatesh, Hung Hai Bui
Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association. BMVC (2006)
Thi V. Duong, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh
Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model. ICPR (3) (2006)
Brett Adams, Svetha Venkatesh, Hung Hai Bui, Chitra Dorai
A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures. Multim. Tools Appl. 27 (2) (2005)
Nam Thanh Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models. CVPR (2) (2005)
Thi V. Duong, Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model. CVPR (1) (2005)
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hung Hai Bui
Topic transition detection using hierarchical hidden Markov and semi-Markov models. ACM Multimedia (2005)
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations. EURASIP J. Adv. Signal Process. 2005 (13) (2005)
Mihai M. Lazarescu, Svetha Venkatesh, Hung Hai Bui
Using multiple windows to track concept drift. Intell. Data Anal. 8 (1) (2004)
Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh
Learning Hierarchical Hidden Markov Models with General State Hierarchy. AAAI (2004)
Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
Segmentation of Intentional Human Gestures for Sports Video Annotation. MMM (2004)
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton. PRICAI (2004)
Sebastian Lühr, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
Explicit State Duration HMM for Abnormality Detection in Sequences of Human Activity. PRICAI (2004)
Patrick Peursum, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
Using Interaction Signatures to Find and Label Chairs and Floors. IEEE Pervasive Comput. 3 (4) (2004)
Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
Learning People Movement Model from Multiple Cameras for Behaviour Recognition. SSPR/SPR (2004)
Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
Human Action Segmentation via Controlled Use of Missing Data in HMMs. ICPR (4) (2004)
Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
Automatically learning structural units in educational videos with the hierarchical hidden markov models. ICIP (2004)
Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh
Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models. SSPR/SPR (2004)
Brett Adams, Chitra Dorai, Svetha Venkatesh, Hung Hai Bui
Indexing narrative structure and semantics in motion pictures with a probabilistic framework. ICME (2003)
Sebastian Lühr, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
Recognition of Human Activity through Hierarchical Stochastic Learning. PerCom (2003)
Nam Thanh Nguyen, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments. CVPR (2) (2003)
Hung Hai Bui
A General Model for Online Probabilistic Plan Recognition. IJCAI (2003)
Patrick Peursum, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
Object Labelling from Human Action Recognition. PerCom (2003)
Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
Hierarchical Monitoring of People's Behaviors in Complex Environments Using Multiple Cameras. ICPR (1) (2002)
Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui
Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation. ICPR (2) (2002)
Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
Policy Recognition in the Abstract Hidden Markov Model. J. Artif. Intell. Res. 17 (2002)
Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model. Int. J. Pattern Recognit. Artif. Intell. 15 (1) (2001)
Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
A Probabilistic Framework for Tracking in Wide-Area Environments. ICPR (2000)
Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
On the Recognition of Abstract Markov Policies. AAAI/IAAI (2000)
Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West
Layered dynamic probabilistic networks for spatio-temporal modelling. Intell. Data Anal. 3 (5) (1999)
Hung Hai Bui, Svetha Venkatesh, Dorota H. Kieronska
Learning Other Agents' Preferences in Multi-Agent Negotiation Using the Bayesian Classifier. Int. J. Cooperative Inf. Syst. 8 (4) (1999)
Hung Hai Bui, Svetha Venkatesh, Dorota H. Kieronska
A Framework for Coordination and Learning among Teams of Agents. Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications (1997)
Hung Hai Bui, Dorota H. Kieronska, Svetha Venkatesh
Optimal Communication Among Team Members. Australian Joint Conference on Artificial Intelligence (1997)
Hung Hai Bui, Dorota H. Kieronska, Svetha Venkatesh
Learning other Agents' Preferences in Multiagent Negotiation. AAAI/IAAI, Vol. 1 (1996)