Zhangyang Gao

dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen AAAI 2025 EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow ICLR 2025 FoldToken: Learning Protein Language via Vector Quantization and Beyond AAAI 2025 From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing CVPR 2025 G2PDiffusion: Cross-Species Genotype-to-Phenotype Prediction via Evolutionary Diffusion ICCV 2025 MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction ICLR 2025 Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization AAAI 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing ICLR 2025 SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches IJCAI 2025 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NeurIPS 2024 A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer ICML 2024 Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training ECCV 2024 Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer AAAI 2024 Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective ICML 2024 Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks ICLR 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning NeurIPS 2024 General Point Model Pretraining with Autoencoding and Autoregressive CVPR 2024 KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement ICLR 2024 MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning CVPR 2024 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction AAAI 2024 ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NeurIPS 2024 PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction AAAI 2024 RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design ICLR 2024 Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge ICML 2024 UniIF: Unified Molecule Inverse Folding NeurIPS 2024 Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules ICLR 2023 OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning NeurIPS 2023 PiFold: Toward effective and efficient protein inverse folding ICLR 2023 ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics NeurIPS 2023 Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning CVPR 2023 Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions NeurIPS 2023 Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting AAAI 2022 Hyperspherical Consistency Regularization CVPR 2022 SimVP: Simpler Yet Better Video Prediction CVPR 2022