Hung Bui

19 papers A* 6A 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fusing global attention and self-attention for better performance and interpretability on tabular data.
Expert Syst. Appl.
Hung Bui, Bac Le
2025 J jnl
A Comprehensive Review on Data-Driven Methods of Lithium-Ion Batteries State-of-Health Forecasting.
WIREs Data. Mining. Knowl. Discov.
Cong-Thien Pham, Hung Bui, Mao Nguyen, Tri-Quang Pham, Xuan-Vinh Vu, Triet Le, Tho Quan
2024 A* conf
AMMA: Adaptive Multimodal Assistants Through Automated State Tracking and User Model-Directed Guidance Planning.
VR
Jackie (Junrui) Yang, Leping Qiu, Emmanuel Angel Corona-Moreno, Louisa Shi, Hung Bui, Monica S. Lam, James A. Landay
2024 J jnl
Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset.
CoRR
Hung Bui, Harikrishna Warrier, Yogesh Gupta
2024 — conf
GANet - Learning Tabular Data Using Global Attention.
ICCCI (1)
Hung Bui, Bac Le
2022 J jnl
ARNS: A Data-Driven Approach for SoH Estimation of Lithium-Ion Battery Using Nested Sequence Models With Considering Relaxation Effect.
IEEE Access
Thien Pham, Hoang Bao Trung Le, Dat Dang, Hung Bui, Hoang Pham, Loi Truong, Mao Nguyen, Thanh Hung Vo, Quan Thanh Tho
2021 J jnl
Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout.
CoRR
Son Nguyen, Duong Nguyen, Khai Nguyen, Nhat Ho, Khoat Than, Hung Bui
2021 A* conf
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior.
AAAI
Anh Tong, Toan M. Tran, Hung Bui, Jaesik Choi
2021 A* conf
Structured Dropout Variational Inference for Bayesian Neural Networks.
NeurIPS
Son Nguyen, Duong Nguyen, Khai Nguyen, Khoat Than, Hung Bui, Nhat Ho
2021 A* conf
Temporal Predictive Coding For Model-Based Planning In Latent Space.
ICML
Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
2021 J jnl
Temporal Predictive Coding For Model-Based Planning In Latent Space.
CoRR
Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon
2020 J jnl
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior.
CoRR
Anh Tong, Toan M. Tran, Hung Bui, Jaesik Choi
2020 A* conf
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control.
ICLR
Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
2020 A* conf
Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition.
CVPR
Chi Nhan Duong, Thanh-Dat Truong, Khoa Luu, Kha Gia Quach, Hung Bui, Kaushik Roy
2020 J jnl
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition.
CoRR
Chi Nhan Duong, Thanh-Dat Truong, Kha Gia Quach, Hung Bui, Kaushik Roy, Khoa Luu
2019 J jnl
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control.
CoRR
Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
2018 A conf
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings.
CIKM
Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu
2018 — conf
The Context-Dependent Additive Recurrent Neural Net.
NAACL-HLT
Quan Hung Tran, Tuan Manh Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui, Hung Bui
2009 — conf
Application of Empirical Mode Decomposition to the Arrival Time Characterization of a Parallel Batch System Using System Logs.
MSV
Linh Ngo, Baochuan Lu, Hung Bui, Amy W. Apon, Nathan Hamm, Lawrence W. Dowdy, Doug Hoffman, Denny Brewer