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Truong Son Hy
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2020 – today
- 2024
- [j4]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): 25021 (2024) - [j3]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) - [c7]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: 748-756 - [c6]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: 4258-4266 - [c5]Minh Nguyen, Nghi Bui, Truong Son Hy, Long Tran-Thanh, Tien Nguyen:
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations. EACL (Findings) 2024: 2355-2367 - [i20]Thuan N. A. Trang, Nhat Khang Ngo, Daniel T. Levy, Thieu N. Vo, Siamak Ravanbakhsh, Truong Son Hy:
E(3)-Equivariant Mesh Neural Networks. CoRR abs/2402.04821 (2024) - [i19]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 abs/2404.00477 (2024) - [i18]Truong Son Hy, Thieu Khang, Risi Kondor:
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics. CoRR abs/2406.00469 (2024) - [i17]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 abs/2407.00609 (2024) - 2023
- [j2]Truong Son Hy
, Risi Kondor:
Multiresolution equivariant graph variational autoencoder. Mach. Learn. Sci. Technol. 4(1): 15031 (2023) - [j1]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) - [c4]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: 1041-1048 - [c3]Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang:
On the Connection Between MPNN and Graph Transformer. ICML 2023: 3408-3430 - [i16]Cong Dao Tran, Nhut Huy Pham, Anh Nguyen, Truong Son Hy, Tu Vu:
ViDeBERTa: A powerful pre-trained language model for Vietnamese. CoRR abs/2301.10439 (2023) - [i15]Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang:
On the Connection Between MPNN and Graph Transformer. CoRR abs/2301.11956 (2023) - [i14]Duc Thien Nguyen
, Manh Duc Tuan Nguyen, Truong Son-Hy, Risi Kondor:
Fast Temporal Wavelet Graph Neural Networks. CoRR abs/2302.08643 (2023) - [i13]Nhat Khang Ngo, Truong Son Hy, Risi Kondor:
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures. CoRR abs/2302.08647 (2023) - [i12]Nhat Khang Ngo, Truong Son-Hy, Risi Kondor:
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs. CoRR abs/2302.08680 (2023) - [i11]Viet Bach Nguyen, Truong Son-Hy, Long Tran-Thanh, Nhung Nghiem:
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study. CoRR abs/2305.07731 (2023) - [i10]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 abs/2306.12545 (2023) - [i9]Ngoc-Dung Do, Truong Son Hy, Duy Khuong Nguyen:
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting. CoRR abs/2306.17090 (2023) - [i8]Nhat Khang Ngo, Truong Son Hy:
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning. CoRR abs/2309.16685 (2023) - [i7]Khanh-Tung Tran, Truong Son Hy, Lili Jiang, Xuan-Son Vu:
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data. CoRR abs/2310.14549 (2023) - [i6]Cong Dao Tran, Truong Son Hy:
Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs. CoRR abs/2310.15516 (2023) - [i5]Cong Dao Tran, Thong Bach, Truong Son Hy:
Symmetry-preserving graph attention network to solve routing problems at multiple resolutions. CoRR abs/2310.15543 (2023) - 2022
- [c2]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: 21-32 - [c1]Truong Son Hy, Risi Kondor:
Multiresolution Matrix Factorization and Wavelet Networks on Graphs. TAG-ML 2022: 172-182 - [i4]Truong Son-Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor:
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. CoRR abs/2205.14831 (2022) - [i3]Nhat Khang Ngo, Truong Son-Hy, Risi Kondor:
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs. CoRR abs/2209.09941 (2022) - 2021
- [i2]Truong Son-Hy, Risi Kondor:
Multiresolution Graph Variational Autoencoder. CoRR abs/2106.00967 (2021) - [i1]Truong Son-Hy, Risi Kondor:
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs. CoRR abs/2111.01940 (2021)
Coauthor Index
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