H. Bui

发表

Multilevel Clustering via Wasserstein Means

Dinh Q. Phung, Nhat Ho, Hung Hai Bui, 2017, ICML.

A DIRT-T Approach to Unsupervised Domain Adaptation pdf

Stefano Ermon, Hirokazu Narui, Rui Shu, 2018, ICLR.

On the Recognition of Abstract Markov Policies

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2000, AAAI/IAAI.

Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Duration Abnormality Detection in Sequences of Human Activity

G. West, H. Bui, Sebastian Lühr, 2004 .

Object labelling from human action recognition

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2003, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

Bottleneck Conditional Density Estimation

Mohammad Ghavamzadeh, Hung Hai Bui, Rui Shu, 2016, ICML.

Graphical Model Sketch

S. Muthukrishnan, Mohammad Ghavamzadeh, Branislav Kveton, 2016, ECML/PKDD.

Efficient Thompson Sampling for Online Matrix-Factorization Recommendation

Long Tran-Thanh, Sanjay Chawla, Branislav Kveton, 2015, NIPS.

Scalable Nonparametric Bayesian Multilevel Clustering

Svetha Venkatesh, Dinh Q. Phung, Matthew D. Hoffman, 2016, UAI.

Conditionally Dependent Dirichlet Processes for Modelling Naturally Correlated Data Sources

Dinh Q. Phung, X. Nguyen, S. Venkatesh, 2013 .

Distributional Sliced-Wasserstein and Applications to Generative Modeling pdf

Khai Nguyen, Nhat Ho, Hung Bui, 2020, ICLR.

A General Model for Online Probabilistic Plan Recognition

Hung Hai Bui, H. Bui, 2003, IJCAI.

Policy Recognition in the Abstract Hidden Markov Model

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2002 .

Logical Hierarchical Hidden Markov Models for Modeling User Activities

Weng-Keen Wong, Kristian Kersting, Sriraam Natarajan, 2008, ILP.

L G ] 2 6 A pr 2 01 8 SpectralLeader : Online Spectral Learning for Single Topic Models

B. Kveton, Zheng Wen, H. Bui, 2018 .

Sampling stable properties of massive track datasets

J. B. Burns, C. Connolly, H. Bui, 2007, MD '07.

Robust Locally-Linear Controllable Embedding

Ali Ghodsi, Ershad Banijamali, Mohammad Ghavamzadeh, 2017, AISTATS.

A DIRT-T A PPROACH TO U NSUPERVISED D OMAIN

S. Ermon, H. Bui, H. Narui, 2018 .

Efficient Message Passing and Propagation of Simple Temporal Constraints

H. Bui, N. Yorke-Smith, M. Tyson, 2007 .

Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2005, EURASIP J. Adv. Signal Process..

IJCAI-07 Reviewers

Wolfram Burgard, Olivier Buffet, Christian Balkenius, 2007, IJCAI.

Supplementary Material for Bayesian Nonparametric Multilevel Clustering with Contexts

Dinh Q. Phung, X. Nguyen, S. Venkatesh, 2014 .

On Transportation of Mini-batches: A Hierarchical Approach

Dinh Q. Phung, Nhat Ho, H. Bui, 2021, ICML.

Lifted Aggregation and Skolemization for Directed Models

Guy Van den Broeck, Wannes Meert, Jaesik Choi, 2021, An Introduction to Lifted Probabilistic Inference.

Probabilistic querying at multiple levels of abstraction in large spatial domains

Svetha Venkatesh, Geoff West, H. H. Bui, 1999 .

Human Action Recognition with an Incomplete Real-Time Pose Skeleton

G. West, S. Venkatesh, H. Bui, 2004 .

Plan, Activity, and Intent Recognition: Theory and Practice

Robert P. Goldman, Christopher W. Geib, Gita Sukthankar, 2014 .

Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association

Svetha Venkatesh, Hung Hai Bui, Nam Thanh Nguyen, 2006, BMVC.

Mutliple camera coordination in a surveillance system

Hung Hai Bui, Geoffrey A W West, Svetha Venkatesh, 2003 .

Learning Other Agents' Preferences in Multi-Agent Negotiation Using the Bayesian Classifier

Svetha Venkatesh, Hung Hai Bui, Dorota H. Kieronska, 1999, Int. J. Cooperative Inf. Syst..

Learning other Agents' Preferences in Multiagent Negotiation

Svetha Venkatesh, Hung Hai Bui, Dorota H. Kieronska, 1996, AAAI/IAAI, Vol. 1.

Negotiating agents that learn about others' preferences

Svetha Venkatesh, D. Kieronska, Hung H. Bui, 1996, AAAI 1996.

A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures

Svetha Venkatesh, Chitra Dorai, Brett Adams, 2005, Multimedia Tools and Applications.

On Robust Optimal Transport: Computational Complexity and Barycenter Computation

Huy L. Nguyen, Nhat Ho, Hung Bui, 2021, NeurIPS.

Efficient variable elimination for semi-structured simple temporal networks with continuous domains

Neil Yorke-Smith, Hung Hai Bui, H. Bui, 2010, The Knowledge Engineering Review.

Efficient Message Passing and Propagation of Simple Temporal Constraints

H. Bui, N. Yorke-Smith, M. Tyson, 2007 .

Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2001, Int. J. Pattern Recognit. Artif. Intell..

Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein pdf

Khai Nguyen, Nhat Ho, Hung Bui, 2020, ICLR.

On Robust Optimal Transport: Computational Complexity, Low-rank Approximation, and Barycenter Computation pdf

Tung Pham, Nhat Ho, Hung Bui, 2021, ArXiv.

On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm

Nhat Ho, H. Bui, Tung Pham, 2020, ICML.

Temporal Predictive Coding For Model-Based Planning In Latent Space pdf

Stefano Ermon, Hung Bui, Rui Shu, 2021, ICML.

Predictive Coding for Locally-Linear Control

Stefano Ermon, Yinlam Chow, Mohammad Ghavamzadeh, 2020, ICML.

Efficient Online Learning and Prediction of Users' Desktop Actions

Eric Yeh, Hung Hai Bui, Omid Madani, 2009, IJCAI.

Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task pdf

Franck Dernoncourt, Ji Young Lee, Trung H. Bui, 2016, ArXiv.

Human Activity Learning and Segmentation using Partially Hidden Discriminative Models pdf

Svetha Venkatesh, Hung Hai Bui, Tran The Truyen, 2014, ArXiv.

The Hidden Permutation Model and Location-Based Activity Recognition

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2008, AAAI.

Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Factored State-Abstract Hidden Markov Models for Activity Recognition Using Pervasive Multi-modal Sensors

S. Venkatesh, D.T. Tran, D.Q. Phung, 2005, 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

LAMDA: Label Matching Deep Domain Adaptation

Trung Le, Dinh Phung, Nhat Ho, 2021, ICML.

Learning Generative Adversarial Networks from Multiple Data Sources

Trung Le, Tu Dinh Nguyen, Dinh Q. Phung, 2019, IJCAI.

Human action segmentation via controlled use of missing data in HMMs

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Activity recognition and abnormality detection with the switching hidden semi-Markov model

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification

Svetha Venkatesh, Duc-Son Pham, Hung Hai Bui, 2010, IEEE Transactions on Information Theory.

Using multiple windows to track concept drift

Svetha Venkatesh, Mihai Lazarescu, Hung Hai Bui, 2004, Intell. Data Anal..

Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control

M. Ghavamzadeh, Rui Shu, Yinlam Chow, 2019, ICLR.

Recognizing and monitoring high-level behaviors in complex spatial environments

Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Efficient duration and hierarchical modeling for human activity recognition

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2009, Artif. Intell..

Efficient Coxian Duration Modelling for Activity Recognition in Smart Environments with the Hidden semi-Markov Model

S. Venkatesh, D.Q. Phung, H.H. Bui, 2005, 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Three-Player Wasserstein GAN via Amortised Duality

Nhan Dam, Trung Le, Tu Dinh Nguyen, 2019, IJCAI.

Structured Dropout Variational Inference for Bayesian Neural Networks

Khai Nguyen, Khoat Than, Nhat Ho, 2021, NeurIPS.

Learning Hierarchical Hidden Markov Models with General State Hierarchy

Svetha Venkatesh, Dinh Q. Phung, Hung Hai Bui, 2004, AAAI.

On Efficient Multilevel Clustering via Wasserstein Distances

Dinh Q. Phung, Nhat Ho, X. Nguyen, 2019, J. Mach. Learn. Res..