Hung Bui
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
13
Active years
2005–2024
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ICCCI | GANet - Learning Tabular Data Using Global Attention. | Hung Bui, Bac Le |
| 2024 | VR | AMMA: Adaptive Multimodal Assistants Through Automated State Tracking and User Model-Directed Guidance Planning. | Jackie (Junrui) Yang, Leping Qiu, Emmanuel Angel Corona-Moreno, Louisa Shi, Hung Bui, Monica S. Lam, James A. Landay |
| 2023 | IUI | A Vietnamese Spelling Correction System. | 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 |
| 2022 | ICML | On Transportation of Mini-batches: A Hierarchical Approach. | Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho |
| 2022 | IUI | Vietnamese Speech-based Question Answering over Car Manuals. | 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 |
| 2021 | AAAI | Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior. | Anh Tong, Toan M. Tran, Hung Bui, Jaesik Choi |
| 2021 | ICLR | Distributional Sliced-Wasserstein and Applications to Generative Modeling. | Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui |
| 2021 | ICLR | Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein. | Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui |
| 2021 | ICML | LAMDA: Label Matching Deep Domain Adaptation. | Trung Le, Tuan Nguyen, Nhat Ho, Hung Bui, Dinh Phung |
| 2021 | ICML | Temporal Predictive Coding For Model-Based Planning In Latent Space. | Tung D. Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon |
| 2020 | CVPR | Vec2Face: Unveil Human Faces From Their Blackbox Features in Face Recognition. | Chi Nhan Duong, Thanh-Dat Truong, Khoa Luu, Kha Gia Quach, Hung Bui, Kaushik Roy |
| 2020 | ICLR | Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control. | Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui |
| 2020 | ICML | On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm. | Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui |
| 2019 | IJCAI | Three-Player Wasserstein GAN via Amortised Duality. | Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung |
| 2019 | IJCAI | Learning Generative Adversarial Networks from Multiple Data Sources. | Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Q. Phung |
| 2018 | AISTATS | Robust Locally-Linear Controllable Embedding. | Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi |
| 2018 | CIKM | Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. | Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu |
| 2018 | NAACL | The Context-Dependent Additive Recurrent Neural Net. | Quan Hung Tran, Tuan Manh Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui, Hung Bui |
| 2017 | IJCAI | Large-scale Online Kernel Learning with Random Feature Reparameterization. | Tu Dinh Nguyen, Trung Le, Hung Bui, Dinh Q. Phung |
| 2017 | IJCAI | Discriminative Bayesian Nonparametric Clustering. | Vu Nguyen, Dinh Q. Phung, Trung Le, Hung Bui |
| 2016 | IJCAI | Practical Linear Models for Large-Scale One-Class Collaborative Filtering. | Suvash Sedhain, Hung Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton, Aditya Krishna Menon, Trung Bui, Scott Sanner |
| 2014 | ICML | Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. | Tien-Vu Nguyen, Dinh Quoc Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Bui |
| 2013 | UAI | Automorphism Groups of Graphical Models and Lifted Variational Inference. | Hung Bui, Tuyen N. Huynh, Sebastian Riedel |
| 2009 | IJCAI | Efficient Online Learning and Prediction of Users' Desktop Actions. | Omid Madani, Hung Bui, Eric Yeh |
| 2006 | BMVC | Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association. | Nam Thanh Nguyen, Svetha Venkatesh, Hung Bui |
| 2005 | CVPR | Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models. | Nam Thanh Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Bui |