Hung Bui

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 38

Top Topics

Gaussian Process

Variational Inference

Spelling Correction

Top Venues

Publications

Hung Bui, Harikrishna Warrier, Yogesh Gupta
Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset. CoRR (2024)
Jackie (Junrui) Yang, Leping Qiu, Emmanuel Angel Corona-Moreno, Louisa Shi, Hung Bui, Monica S. Lam, James A. Landay
AMMA: Adaptive Multimodal Assistants Through Automated State Tracking and User Model-Directed Guidance Planning. VR (2024)
Thien Hai Nguyen, Thinh Pham, Khoi Minh Le, Manh Luong, Nguyen Luong Tran, Hieu Man, Dang Minh Nguyen, Tuan Anh Luu, Thien Huu Nguyen, Hung Bui, Dinh Phung, Dat Quoc Nguyen
A Vietnamese Spelling Correction System. IUI Companion (2023)
Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho
On Transportation of Mini-batches: A Hierarchical Approach. ICML (2022)
Thien Pham, Trung Le, Dat Dang, Hung Bui, Hoang Pham, Loi Truong, Mao Nguyen, Thanh Hung Vo, Quan Thanh Tho
ARNS: A Data-Driven Approach for SoH Estimation of Lithium-Ion Battery Using Nested Sequence Models With Considering Relaxation Effect. IEEE Access 10 (2022)
Tin Duy Vo, Manh Luong, Duong Minh Le, Hieu Tran, Nhan Do, Tuan-Duy H. Nguyen, Thien Nguyen, Hung Bui, Dat Quoc Nguyen, Dinh Q. Phung
Vietnamese Speech-based Question Answering over Car Manuals. IUI Companion (2022)
Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources. CoRR (2021)
Khang Le, Huy Nguyen, Quang Nguyen, Nhat Ho, Tung Pham, Hung Bui
On Robust Optimal Transport: Computational Complexity, Low-rank Approximation, and Barycenter Computation. CoRR (2021)
Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui
Distributional Sliced-Wasserstein and Applications to Generative Modeling. ICLR (2021)
Khang Le, Huy Nguyen, Quang Minh Nguyen, Tung Pham, Hung Bui, Nhat Ho
On Robust Optimal Transport: Computational Complexity and Barycenter Computation. NeurIPS (2021)
Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, Dinh Q. Phung
On efficient multilevel Clustering via Wasserstein distances. J. Mach. Learn. Res. 22 (2021)
Dang Nguyen, Khai Nguyen, Dinh Phung, Hung Bui, Nhat Ho
Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment. CoRR (2021)
Khai Nguyen, Quoc Nguyen, Nhat Ho, Tung Pham, Hung Bui, Dinh Phung, Trung Le
BoMb-OT: On Batch of Mini-batches Optimal Transport. CoRR (2021)
Trung Le, Dat Do, Tuan Nguyen, Huy Nguyen, Hung Bui, Nhat Ho, Dinh Q. Phung
On Label Shift in Domain Adaptation via Wasserstein Distance. CoRR (2021)
Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
Temporal Predictive Coding For Model-Based Planning In Latent Space. CoRR (2021)
Trung Phung, Trung Le, Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Q. Phung
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources. NeurIPS (2021)
Anh Tong, Toan M. Tran, Hung Bui, Jaesik Choi
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior. AAAI (2021)
Son Nguyen, Duong Nguyen, Khai Nguyen, Nhat Ho, Khoat Than, Hung Bui
Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout. CoRR (2021)
Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein. ICLR (2021)
Trung Le, Tuan Nguyen, Nhat Ho, Hung Bui, Dinh Phung
LAMDA: Label Matching Deep Domain Adaptation. ICML (2021)
Son Nguyen, Duong Nguyen, Khai Nguyen, Khoat Than, Hung Bui, Nhat Ho
Structured Dropout Variational Inference for Bayesian Neural Networks. NeurIPS (2021)
Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
Temporal Predictive Coding For Model-Based Planning In Latent Space. ICML (2021)
Anh Tong, Toan M. Tran, Hung Bui, Jaesik Choi
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior. CoRR (2020)
Chi Nhan Duong, Thanh-Dat Truong, Kha Gia Quach, Hung Bui, Kaushik Roy, Khoa Luu
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition. CoRR (2020)
Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm. ICML (2020)
Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein. CoRR (2020)
Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui
Distributional Sliced-Wasserstein and Applications to Generative Modeling. CoRR (2020)
Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. ICLR (2020)
Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm. CoRR (2020)
Chi Nhan Duong, Thanh-Dat Truong, Khoa Luu, Kha Gia Quach, Hung Bui, Kaushik Roy
Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition. CVPR (2020)
Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, Dinh Q. Phung
On Efficient Multilevel Clustering via Wasserstein Distances. CoRR (2019)
Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Q. Phung
Learning Generative Adversarial Networks from Multiple Data Sources. IJCAI (2019)
Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung
Three-Player Wasserstein GAN via Amortised Duality. IJCAI (2019)
Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. CoRR (2019)
Quan Hung Tran, Tuan Manh Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui, Hung Bui
The Context-Dependent Additive Recurrent Neural Net. NAACL-HLT (2018)
Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. CIKM (2018)
Tu Dinh Nguyen, Trung Le, Hung Bui, Dinh Q. Phung
Large-scale Online Kernel Learning with Random Feature Reparameterization. IJCAI (2017)
Vu Nguyen, Dinh Q. Phung, Trung Le, Hung Bui
Discriminative Bayesian Nonparametric Clustering. IJCAI (2017)
Linh Ngo, Baochuan Lu, Hung Bui, Amy W. Apon, Nathan Hamm, Lawrence W. Dowdy, Doug Hoffman, Denny Brewer
Application of Empirical Mode Decomposition to the Arrival Time Characterization of a Parallel Batch System Using System Logs. MSV (2009)