Thanh Xuan Nguyen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Mutual-pairing Data Augmentation for Fewshot Continual Relation Extraction.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Few-Shot, No Problem: Descriptive Continual Relation Extraction.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses.
CoRR, 2024

Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning.
IEEE Access, 2024

Preserving Generalization of Language models in Few-shot Continual Relation Extraction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning.
IEEE Access, 2023

2022
Visual Pretraining via Contrastive Predictive Model for Pixel-Based Reinforcement Learning.
Sensors, 2022

SoftGroup++: Scalable 3D Instance Segmentation with Octree Pyramid Grouping.
CoRR, 2022

LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic.
IEEE Access, 2022

Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning.
IEEE Access, 2022

SoftGroup for 3D Instance Segmentation on Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Object Detection using Component-Graphs and ConvNets with Application to Astronomical Images. (Détection d'objets à partir de graphes de composantes et de réseaux convolutionnels avec applications aux images astronomiques).
PhD thesis, 2021

GDCA: GAN-based single image super resolution with Dual discriminators and Channel Attention.
CoRR, 2021

Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images.
IEEE Access, 2021

Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
CGO: Multiband Astronomical Source Detection With Component-Graphs.
Proceedings of the IEEE International Conference on Image Processing, 2020

2017
Single view image based - 3D human pose reconstruction.
Proceedings of the 9th International Conference on Knowledge and Systems Engineering, 2017

2015
Robust Content-Based Image Hash Functions Using Nested Lattice Codes.
Proceedings of the Digital-Forensics and Watermarking - 14th International Workshop, 2015


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