Truong Son Hy

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 24

Top Topics

Multiresolution

Hierarchical Structures

Top Venues

Mach. Learn. Sci. Technol.

EACL (Findings)

Publications

Thuan N. A. Trang, Nhat Khang Ngo, Daniel Levy, Thieu N. Vo, Siamak Ravanbakhsh, Truong Son Hy
E(3)-Equivariant Mesh Neural Networks. CoRR (2024)
Truong Son Hy, Thieu Khang, Risi Kondor
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics. CoRR (2024)
Minh Nguyen, Nghi Bui, Truong Son Hy, Long Tran-Thanh, Tien Nguyen
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations. EACL (Findings) (2024)
Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Donghyeon Koh, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang
DE-HNN: An effective neural model for Circuit Netlist representation. CoRR (2024)
Nhat Khang Ngo, Truong Son Hy
Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation. Mach. Learn. Sci. Technol. 5 (2) (2024)
Thuan Nguyen Anh Trang, Nhat Khang Ngo, Hugo Sonnery, Thieu N. Vo, Siamak Ravanbakhsh, Truong Son Hy
Scalable Hierarchical Self-Attention with Learnable Hierarchy for Long-Range Interactions. Trans. Mach. Learn. Res. 2024 (2024)
Thuan Anh Trang, Nhat Khang Ngo, Daniel T. Levy, Ngoc Thieu Vo, Siamak Ravanbakhsh, Truong Son Hy
E(3)-Equivariant Mesh Neural Networks. AISTATS (2024)
Quang P. M. Pham, Khoi T. N. Nguyen, Lan C. Ngo, Truong Do, Truong Son Hy
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding. CoRR (2024)
Zhishang Luo, Truong Son Hy, Puoya Tabaghi, Michaël Defferrard, Elahe Rezaei, Ryan Carey, W. Rhett Davis, Rajeev Jain, Yusu Wang
DE-HNN: An effective neural model for Circuit Netlist representation. AISTATS (2024)
Truong Son Hy, Risi Kondor
Multiresolution equivariant graph variational autoencoder. Mach. Learn. Sci. Technol. 4 (1) (2023)
Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang
On the Connection Between MPNN and Graph Transformer. CoRR (2023)
Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang
On the Connection Between MPNN and Graph Transformer. ICML (2023)
Duc Minh Nguyen, Minh Chau Vu, Tuan Anh Nguyen, Tri Huynh, Nguyen Tri Nguyen, Truong Son Hy
Neural Multigrid Memory For Computational Fluid Dynamics. CoRR (2023)
Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu
ViDeBERTa: A powerful pre-trained language model for Vietnamese. CoRR (2023)
Cong Dao Tran, Thong Bach, Truong Son Hy
Symmetry-preserving graph attention network to solve routing problems at multiple resolutions. CoRR (2023)
Ngoc-Dung Do, Truong Son Hy, Duy Khuong Nguyen
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting. CoRR (2023)
Thong Bach, Anh Tong, Truong Son Hy, Vu Nguyen, Thanh Nguyen-Tang
Global Contrastive Learning for Long-Tailed Classification. Trans. Mach. Learn. Res. 2023 (2023)
Nhat Khang Ngo, Truong Son Hy, Risi Kondor
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures. CoRR (2023)
Nhat Khang Ngo, Truong Son Hy
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning. CoRR (2023)
Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu
ViDeBERTa: A powerful pre-trained language model for Vietnamese. EACL (Findings) (2023)
Khanh-Tung Tran, Truong Son Hy, Lili Jiang, Xuan-Son Vu
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data. CoRR (2023)
Cong Dao Tran, Truong Son Hy
Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs. CoRR (2023)
Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. Healthcare AI and COVID-19 Workshop (2022)
Truong Son Hy, Risi Kondor
Multiresolution Matrix Factorization and Wavelet Networks on Graphs. TAG-ML (2022)