Truong Son Hy

Viet Anh Nguyen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Effective Context Modeling Framework for Emotion Recognition in Conversations.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical Imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching.

[BibT_eX]

[DOI]

Nghia-Huynh Nguyen-Hieu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Scalable Hierarchical Self-Attention with Learnable Hierarchy for Long-Range Interactions.

[BibT_eX]

[DOI]

Thuan Nguyen Anh Trang

Trans. Mach. Learn. Res., 2024

Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., 2024

SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object Localization.

[BibT_eX]

[DOI]

CoRR, 2024

TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Range-aware Positional Encoding via High-order Pretraining: Theory and Practice.

[BibT_eX]

[DOI]

Viet Anh Nguyen

CoRR, 2024

MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder.

[BibT_eX]

[DOI]

CoRR, 2024

Sampling Foundational Transformer: A Theoretical Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

SAMSA: Efficient Transformer for Many Data Modalities.

[BibT_eX]

[DOI]

CoRR, 2024

wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech.

[BibT_eX]

[DOI]

CoRR, 2024

Sentiment Reasoning for Healthcare.

[BibT_eX]

[DOI]

CoRR, 2024

LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task.

[BibT_eX]

[DOI]

CoRR, 2024

ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding.

[BibT_eX]

[DOI]

CoRR, 2024

Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics.

[BibT_eX]

[DOI]

Thieu Khang

CoRR, 2024

DE-HNN: An effective neural model for Circuit Netlist representation.

[BibT_eX]

[DOI]

CoRR, 2024

E(3)-Equivariant Mesh Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Real-time Speech Summarization for Medical Conversations.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

E(3)-Equivariant Mesh Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

DE-HNN: An effective neural model for Circuit Netlist representation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Multiresolution equivariant graph variational autoencoder.

[BibT_eX]

[DOI]

Mach. Learn. Sci. Technol., March, 2023

Global Contrastive Learning for Long-Tailed Classification.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Symmetry-preserving graph attention network to solve routing problems at multiple resolutions.

[BibT_eX]

[DOI]

Cong Dao Tran

Thong Bach

CoRR, 2023

Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs.

[BibT_eX]

[DOI]

Cong Dao Tran

CoRR, 2023

Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data.

[BibT_eX]

[DOI]

CoRR, 2023

Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting.

[BibT_eX]

[DOI]

Ngoc-Dung Do

Duy Khuong Nguyen

CoRR, 2023

Neural Multigrid Memory For Computational Fluid Dynamics.

[BibT_eX]

[DOI]

CoRR, 2023

Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study.

[BibT_eX]

[DOI]

CoRR, 2023

Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures.

[BibT_eX]

[DOI]

CoRR, 2023

Fast Temporal Wavelet Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

On the Connection Between MPNN and Graph Transformer.

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[DOI]

Proceedings of the International Conference on Machine Learning, 2023

ViDeBERTa: A powerful pre-trained language model for Vietnamese.

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[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Predicting Drug-Drug Interactions using Deep Generative Models on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Multiresolution Matrix Factorization and Wavelet Networks on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2022

Temporal Multiresolution Graph Neural Networks For Epidemic Prediction.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 2022

2021

Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Multiresolution Graph Variational Autoencoder.

[BibT_eX]

[DOI]

CoRR, 2021

2020

The general theory of permutation equivarant neural networks and higher order graph variational encoders.

[BibT_eX]

[DOI]

Erik Henning Thiede

Truong-Son Hy

CoRR, 2020

2019

Cormorant: Covariant Molecular Neural Networks.

[BibT_eX]

[DOI]

Brandon M. Anderson

Truong-Son Hy