Research

[ICML 2024] Selecting Large Language Model to Fine-tune via Rectified Scaling Law

[ICML 2024] FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames

[ICML 2024] Full-Atom Peptide Design based on Multi-modal Flow Matching

[ICML 2024] Projecting Molecules into Synthesizable Chemical Spaces

[ICML 2024] MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space

[ICML 2024] Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion

[ICLR 2024] Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction

[ICLR 2024] OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

[ICLR 2024] Space Group Constrained Crystal Generation

[ICLR 2024] InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

[ICLR 2024] Sliced Denoising: A Physics-Informed Molecular Pre-Training Method

[ICLR 2024] Protein-ligand binding representation learning from fine-grained interactions

[ICLR 2024] Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment

[ICLR 2024] Multimodal Molecular Pretraining via Modality Blending

[ICLR 2024] Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks

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