All Stories

  1. 24 th International Workshop on Data Mining in Bioinformatics (BIOKDD 2025)
  2. Effective Design of Sequences with Limited Data
  3. A Knowledge Graph for Vietnamese Traditional Medicine and Its Use in AI Question Answering
  4. Effective Context Modeling Framework for Emotion Recognition in Conversations
  5. Machine learning for automated electrical penetration graph analysis of aphid feeding behavior: Accelerating research on insect-plant interactions
  6. Protein Design by Directed Evolution Guided by Large Language Models
  7. LatentDE: latent-based directed evolution for protein sequence design
  8. LANTERN: Leveraging Large Language Models and Transformers for Enhanced Molecular Interactions
  9. DrugPipe: Generative artificial intelligence-assisted virtual screening pipeline for generalizable and efficient drug repurposing
  10. Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems
  11. Generative AI-assisted Virtual Screening Pipeline for Generalizable and Efficient Drug Repurposing
  12. DiscoEPG: A Python package for characterization of insect electrical penetration graph (EPG) signals
  13. ProteinReDiff: Ligand-binding Proteins Redesign by Equivariant Diffusion-based Generative Models
  14. LightMed: A Light-weight and Robust FFT-Based Model for Adversarially Resilient Medical Image Segmentation
  15. Real-time Speech Summarization for Medical Conversations
  16. VieMedKG: Knowledge Graph and Benchmark for Traditional Vietnamese Medicine
  17. MGLEP: Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data
  18. Machine learning for characterizing plant-insect interactions through electrical penetration graphic signal
  19. Multimodal protein representation learning and target-aware variational auto-encoders for protein-binding ligand generation
  20. Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models
  21. Latent-based Directed Evolution accelerated by Gradient Ascent for Protein Sequence Design
  22. Multimodal pretraining for unsupervised protein representation learning
  23. Multimodal Pretraining for Unsupervised Protein Representation Learning
  24. Protein Design by Directed Evolution Guided by Large Language Models
  25. Multimodal Protein Representation Learning and Target-aware Variational Auto-encoders for Protein-binding Ligand Generation
  26. Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning
  27. Multiresolution graph transformers and wavelet positional encoding for learning long-range and hierarchical structures
  28. Multiresolution equivariant graph variational autoencoder
  29. Predicting molecular properties with covariant compositional networks