HySonLab
This is Prof. Truong Son Hy's research group. We work on AI for Science, Bioinformatics, Drug Discovery, Drug Repurposing, and Medical AI.
United States of America
Pinned Repositories
Directed_Evolution
Protein Design by Machine Learning guided Directed Evolution
drug-interactions
Project of drug interactions https://arxiv.org/pdf/2209.09941.pdf https://arxiv.org/pdf/2302.08680.pdf, NeurIPS 2022 (AI for Science)
GraphLASSO
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting
LatentDE
Latent-based Directed Evolution guided by Gradient Ascent for Protein Design
Ligand_Generation
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning
Multires-Graph-Transformer
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures
Multires-NP-hard
Symmetry-preserving & Multiresolution learning to solve NP-hard problems in Operations Research
Protein_Pretrain
Multimodal Pretraining for Unsupervised Protein Representation Learning
Protein_Redesign
ProteinReDiff: Complex-based ligand-binding proteins redesign by equivariant diffusion-based generative models
ViDeBERTa
ViDeBERTa: A powerful pre-trained language model for Vietnamese, EACL 2023
HySonLab's Repositories
HySonLab/ViDeBERTa
ViDeBERTa: A powerful pre-trained language model for Vietnamese, EACL 2023
HySonLab/Protein_Redesign
ProteinReDiff: Complex-based ligand-binding proteins redesign by equivariant diffusion-based generative models
HySonLab/Directed_Evolution
Protein Design by Machine Learning guided Directed Evolution
HySonLab/Ligand_Generation
Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning
HySonLab/LatentDE
Latent-based Directed Evolution guided by Gradient Ascent for Protein Design
HySonLab/Multires-Graph-Transformer
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures
HySonLab/Protein_Pretrain
Multimodal Pretraining for Unsupervised Protein Representation Learning
HySonLab/drug-interactions
Project of drug interactions https://arxiv.org/pdf/2209.09941.pdf https://arxiv.org/pdf/2302.08680.pdf, NeurIPS 2022 (AI for Science)
HySonLab/GraphLASSO
Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting
HySonLab/Multires-NP-hard
Symmetry-preserving & Multiresolution learning to solve NP-hard problems in Operations Research
HySonLab/EntityKG
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
HySonLab/EquiMesh
E(3)-Equivariant Mesh Neural Networks (AISTATS 2024)
HySonLab/ML4Insects
Machine Learning for signal processing on insects' behaviors
HySonLab/pandemic_tgnn
Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731
HySonLab/DrugPipe
Generative AI-assisted Drug Repurposing Pipeline
HySonLab/HierAttention
Scalable Hierarchical Self-Attention with Learnable Hierarchy for Long-Range Interactions
HySonLab/VietMedKG
VietMedKG: Knowledge Graph and Benchmark for Traditional Vietnamese Medicine
HySonLab/Chinese_Postman_Problem
The Chinese Postman Problem with load-dependent costs
HySonLab/TESGraph
TESGNN: 3D Temporal Equivariant Scene Graph Neural Networks
HySonLab/TWGNN
Fast Temporal Wavelet Graph Neural Networks (NeurIPS 2023)
HySonLab/LightMed
Light-weight Medical Image Segmentation
HySonLab/VietMed-Sum
Real-time Speech Summarization for Medical Conversations in Vietnamese
HySonLab/MGVAE
Higher-order permutation-equivariant graph variational autoencoder to generate molecules in multiresolution manner. https://iopscience.iop.org/article/10.1088/2632-2153/acc0d8
HySonLab/LearnMMF
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics