2023
Building and Nurturing AI Development in Vietnam.
Commun. ACM, July, 2023
PhoGPT: Generative Pre-training for Vietnamese.
CoRR, 2023
A Vietnamese Spelling Correction System.
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Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023
On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Vietnamese Speech-based Question Answering over Car Manuals.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022, 2022
A Vietnamese-English Neural Machine Translation System.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
On Transportation of Mini-batches: A Hierarchical Approach.
Proceedings of the International Conference on Machine Learning, 2022
2021
On efficient multilevel Clustering via Wasserstein distances.
J. Mach. Learn. Res., 2021
Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment.
CoRR, 2021
On Label Shift in Domain Adaptation via Wasserstein Distance.
CoRR, 2021
On Robust Optimal Transport: Computational Complexity, Low-rank Approximation, and Barycenter Computation.
CoRR, 2021
BoMb-OT: On Batch of Mini-batches Optimal Transport.
CoRR, 2021
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
LAMDA: Label Matching Deep Domain Adaptation.
Proceedings of the 38th International Conference on Machine Learning, 2021
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein.
Proceedings of the 9th International Conference on Learning Representations, 2021
Distributional Sliced-Wasserstein and Applications to Generative Modeling.
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Learning Generative Adversarial Networks from Multiple Data Sources.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Three-Player Wasserstein GAN via Amortised Duality.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
SpectralLeader: Online Spectral Learning for Single Topic Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Robust Locally-Linear Controllable Embedding.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
SpectralFPL: Online Spectral Learning for Single Topic Models.
CoRR, 2017
Hierarchical semi-Markov conditional random fields for deep recursive sequential data.
Artif. Intell., 2017
Discriminative Bayesian Nonparametric Clustering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Large-scale Online Kernel Learning with Random Feature Reparameterization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Bottleneck Conditional Density Estimation.
Proceedings of the 34th International Conference on Machine Learning, 2017
Multilevel Clustering via Wasserstein Means.
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Scalable Nonparametric Bayesian Multilevel Clustering.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Practical Linear Models for Large-Scale One-Class Collaborative Filtering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
2015
Architectures for Activity Recognition and Context-Aware Computing.
AI Mag., 2015
A Bayesian Nonparametric Approach to Multilevel Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Learning Conditional Latent Structures from Multiple Data Sources.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2014
MCMC for Hierarchical Semi-Markov Conditional Random Fields.
CoRR, 2014
Human Activity Learning and Segmentation using Partially Hidden Discriminative Models.
CoRR, 2014
Boosted Markov Networks for Activity Recognition.
CoRR, 2014
Lifted Tree-Reweighted Variational Inference.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts.
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
The AAAI-13 Conference Workshops.
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AI Mag., 2013
Automorphism Groups of Graphical Models and Lifted Variational Inference.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the Plan, 2013
2012
Initial Empirical Evaluation of Anytime Lifted Belief Propagation.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Lifted Arbitrary Constraint Solving for Lifted Probabilistic Inference.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
Exact Lifted Inference with Distinct Soft Evidence on Every Object.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Efficient Methods for Lifted Inference with Aggregate Factors.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification.
IEEE Trans. Inf. Theory, 2010
Efficient variable elimination for semi-structured simple temporal networks with continuous domains.
Knowl. Eng. Rev., 2010
2009
Efficient duration and hierarchical modeling for human activity recognition.
Artif. Intell., 2009
Anytime Lifted Belief Propagation.
Proceedings of the Joint 7th Workshop on Mining and Learning with Graphs and the 6th International Workshop on Statistical Relational Learning, 2009
Efficient Online Learning and Prediction of Users' Desktop Actions.
Proceedings of the IJCAI 2009, 2009
Prediction and Discovery of Users' Desktop Behavior.
Proceedings of the Human Behavior Modeling, 2009
2008
Recovering Social Networks From Massive Track Datasets.
Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008
Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Logical Hierarchical Hidden Markov Models for Modeling User Activities.
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008
A context-aware personal desktop assistant.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008
The Hidden Permutation Model and Location-Based Activity Recognition.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2006
Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006
Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association.
Proceedings of the British Machine Vision Conference 2006, 2006
2005
A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures.
Multim. Tools Appl., 2005
Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations.
EURASIP J. Adv. Signal Process., 2005
Topic transition detection using hierarchical hidden Markov and semi-Markov models.
Proceedings of the 13th ACM International Conference on Multimedia, 2005
Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
2004
Using Interaction Signatures to Find and Label Chairs and Floors.
IEEE Pervasive Comput., 2004
Using multiple windows to track concept drift.
Intell. Data Anal., 2004
Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models.
Proceedings of the Structural, 2004
Learning People Movement Model from Multiple Cameras for Behaviour Recognition.
Proceedings of the Structural, 2004
Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004
Explicit State Duration HMM for Abnormality Detection in Sequences of Human Activity.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004
Segmentation of Intentional Human Gestures for Sports Video Annotation.
Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004
Human Action Segmentation via Controlled Use of Missing Data in HMMs.
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Automatically learning structural units in educational videos with the hierarchical hidden markov models.
Proceedings of the 2004 International Conference on Image Processing, 2004
Learning Hierarchical Hidden Markov Models with General State Hierarchy.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004
2003
Object Labelling from Human Action Recognition.
Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom'03), 2003
Recognition of Human Activity through Hierarchical Stochastic Learning.
Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom'03), 2003
A General Model for Online Probabilistic Plan Recognition.
Proceedings of the IJCAI-03, 2003
Indexing narrative structure and semantics in motion pictures with a probabilistic framework.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003
Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003
2002
Policy Recognition in the Abstract Hidden Markov Model.
J. Artif. Intell. Res., 2002
Hierarchical Monitoring of People's Behaviors in Complex Environments Using Multiple Cameras.
Proceedings of the 16th International Conference on Pattern Recognition, 2002
Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation.
Proceedings of the 16th International Conference on Pattern Recognition, 2002
2001
Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model.
Int. J. Pattern Recognit. Artif. Intell., 2001
2000
A Probabilistic Framework for Tracking in Wide-Area Environments.
Proceedings of the 15th International Conference on Pattern Recognition, 2000
On the Recognition of Abstract Markov Policies.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000
1999
Learning Other Agents' Preferences in Multi-Agent Negotiation Using the Bayesian Classifier.
Int. J. Cooperative Inf. Syst., 1999
Layered dynamic probabilistic networks for spatio-temporal modelling.
Intell. Data Anal., 1999
1997
A Framework for Coordination and Learning among Teams of Agents.
Proceedings of the Agents and Multi-Agent Systems Formalisms, 1997
Optimal Communication Among Team Members.
Proceedings of the Advanced Topics in Artificial Intelligence, 1997
1996
Learning other Agents' Preferences in Multiagent Negotiation.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996