Adaptive mobile streaming over HTTP/2 with gradual quality transitions. - Thang Vu; Hung T. Le; Nam Pham Ngoc 001; Truong Cong Thang (GCCE, 2016)

SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos. - Thoa Nguyen; Thang Vu; Nam Pham Ngoc 001; Truong Cong Thang (Adv. Multim., 2017)

Seamless Mobile Video Streaming over HTTP/2 with Gradual Quality Transitions. - Hung T. Le; Thang Vu; Nam Pham Ngoc 001; Anh T. Pham 002; Truong Cong Thang (IEICE Trans. Commun., 2017)

Perception-Enhanced Image Super-Resolution via Relativistic Generative Adversarial Networks. - Thang Vu; Tung Minh Luu; Chang D. Yoo (ECCV Workshops (5), 2018)

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 (ECCV Workshops (5), 2018)

Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution. - Thang Vu; Hyunjun Jang; Trung X. Pham; Chang Dong Yoo (NeurIPS, 2019)

SCNet: Training Inference Sample Consistency for Instance Segmentation. - Thang Vu; Haeyong Kang; Chang D. Yoo (AAAI, 2021)

Learning Imbalanced Datasets With Maximum Margin Loss. - Haeyong Kang; Thang Vu; Chang D. Yoo (ICIP, 2021)

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 (ICIP, 2021)

Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model. - Thanh Xuan Nguyen; Tung Minh Luu; Thang Vu; Chang D. Yoo (IROS, 2021)

Findings of the Second AmericasNLP Competition on Speech-to-Text Translation. - Abteen Ebrahimi; Manuel Mager; Adam Wiemerslage; Pavel Denisov; Arturo Oncevay; Danni Liu; Sai Koneru; Enes Yavuz Ugan; Zhaolin Li; Jan Niehues; Monica Romero; Iván G. Torre; et al. (NeurIPS (Competition and Demos), 2021)

SoftGroup for 3D Instance Segmentation on Point Clouds. - Thang Vu; Kookhoi Kim; Tung Minh Luu; Thanh Xuan Nguyen; Chang D. Yoo (CVPR, 2022)

Human vs. Automatic Detection of Deepfake Videos Over Noisy Channels. - Swaroop Shankar Prasad; Ofer Hadar; Thang Vu; Ilia Polian (ICME, 2022)

Meta Learning for Natural Language Processing: A Survey. - Hung-yi Lee; Shang-Wen Li 001; Thang Vu (NAACL-HLT, 2022)

Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning. - Tung Minh Luu; Thanh Xuan Nguyen; Thang Vu; Chang D. Yoo (IEEE Access, 2022)

SoftGroup for 3D Instance Segmentation on Point Clouds. - Thang Vu; Kookhoi Kim; Tung Minh Luu; Xuan Thanh Nguyen; Chang D. Yoo (CoRR, 2022)

SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping. - Thang Vu; Kookhoi Kim; Tung Minh Luu; Thanh Xuan Nguyen; Junyeong Kim; Chang D. Yoo (CoRR, 2022)

Improving Low-Resource Question Answering using Active Learning in Multiple Stages. - Maximilian Schmidt; Andrea Bartezzaghi; Jasmina Bogojeska; A. Cristiano I. Malossi; Thang Vu (CoRR, 2022)

Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning. - Tung Minh Luu; Thang Vu; Thanh Xuan Nguyen; Chang D. Yoo (Sensors, 2022)

Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study. - Injy Hamed; Nizar Habash; Thang Vu (EMNLP (Findings), 2023)

DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. - Thanh Xuan Nguyen; Trung Xuan Pham; Chaoning Zhang; Tung Minh Luu; Thang Vu; Chang D. Yoo (IEEE Access, 2023)

Please note that I'm just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification. - Esra Dönmez; Thang Vu; Agnieszka Falenska (EMNLP, 2024)

Teaching a Multilingual Large Language Model to Understand Multilingual Speech via Multi-Instructional Training. - Pavel Denisov; Thang Vu (NAACL-HLT (Findings), 2024)

Scalable SoftGroup for 3D Instance Segmentation on Point Clouds. - Thang Vu; Kookhoi Kim; Thanh Xuan Nguyen; Tung Minh Luu; Junyeong Kim; Chang D. Yoo (IEEE Trans. Pattern Anal. Mach. Intell., 2024)