A unified pre-trained deep learning framework for cross-task reaction performance prediction and synthesis planning
ImmunoStruct: a multimodal neural network framework for immunogenicity prediction from peptide-MHC sequence, structure, and biochemical properties
Harnessing the Power of Single Cell Large Language Models with Parameter Efficient Fine-Tuning using scPEFT
A Neural Symbolic Model for Space Physics
One-shot Cryo-EM Complex Structure Determination with High Accuracy and Ultra-fast Speed.
Embedding high-resolution touch across robotic hands enables adaptive human-like grasping
Machine Learning Modeling for Multi-order Human Visual Motion Processing
Improving diffusion-based protein backbone generation with global-geometry-aware latent encoding
Lancelot: Towards Efficient and Privacy-Preserving Byzantine-Robust Federated Learning within Fully Homomorphic Encryption
A Personalised 3D+t Mesh Generative Model for Unveiling Normal Heart Dynamics