| 2024 | EMNLP | Please note that I'm just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification. | Esra Dnmez, Thang Vu, Agnieszka Falenska |
| 2024 | NAACL | Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training. | Pavel Denisov, Thang Vu |
| 2023 | EMNLP | Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study. | Injy Hamed, Nizar Habash, Thang Vu |
| 2022 | CVPR | SoftGroup for 3D Instance Segmentation on Point Clouds. | Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Chang D. Yoo |
| 2022 | NAACL | Meta Learning for Natural Language Processing: A Survey. | Hung-yi Lee, Shang-Wen Li, Thang Vu |
| 2021 | AAAI | SCNet: Training Inference Sample Consistency for Instance Segmentation. | Thang Vu, Haeyong Kang, Chang D. Yoo |
| 2021 | ICIP | Learning Imbalanced Datasets With Maximum Margin Loss. | Haeyong Kang, Thang Vu, Chang D. Yoo |
| 2021 | ICIP | Sphererpn: Learning Spheres For High-Quality Region Proposals On 3d Point Clouds Object Detection. | Thang Vu, Kookhoi Kim, Haeyong Kang, Xuan Thanh Nguyen, Tung Minh Luu, Chang D. Yoo |
| 2021 | IROS | Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. | Thanh Xuan Nguyen, Tung Minh Luu, Thang Vu, Chang D. Yoo |
| 2018 | ECCV | Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks. | Thang Vu, Tung Minh Luu, Chang D. Yoo |
| 2018 | ECCV | Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks. | Thang Vu, Cao Van Nguyen, Trung X. Pham, Tung Minh Luu, Chang D. Yoo |