Zhangyang Gao

Venues

Frequent coauthors

Papers

1. AlphaFold Database Debiasing for Robust Inverse Folding
   NeurIPS 2025 ·

   Cheng Tan

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2. EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
   ICLR 2025 ·

   Yufei Huang

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3. FoldToken: Learning Protein Language via Vector Quantization and Beyond
   AAAI 2025 · Zhangyang Gao
4. From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing
   CVPR 2025 ·

   Jingxuan Wei

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5. G2PDiffusion: Cross-Species Genotype-to-Phenotype Prediction Via Evolutionary Diffusion
   ICCV 2025 ·

   Mengdi Liu

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6. MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
   ICLR 2025 ·

   Cheng Tan

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7. ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search
   NeurIPS 2025 ·

   Mengdi Liu

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8. ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
   ICLR 2025 ·

   Shaorong Chen

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9. Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
   AAAI 2025 ·

   Lirong Wu

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10. SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches
    IJCAI 2025 ·

    Cheng Tan

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11. dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen
    AAAI 2025 ·

    Cheng Tan

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12. A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer
    ICML 2024 · Zhangyang Gao
13. AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
    NeurIPS 2024 ·

    Jun Xia

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14. Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency Training
    ECCV 2024 ·

    Cheng Tan

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15. Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
    AAAI 2024 ·

    Cheng Tan

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16. Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
    ICML 2024 ·

    Cheng Tan

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17. Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
    ICLR 2024 ·

    Tianyu Fan

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18. DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning
    ICDE 2024 ·

    Jun Xia

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19. FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
    NeurIPS 2024 ·

    Sizhe Liu

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20. General Point Model Pretraining with Autoencoding and Autoregressive
    CVPR 2024 ·

    Zhe Li

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21. Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency
    ECML-PKDD 2024 ·

    Jingxuan Wei

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22. KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
    ICLR 2024 · Zhangyang Gao
23. MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
    CVPR 2024 ·

    Zhe Li

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24. PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
    AAAI 2024 ·

    Lirong Wu

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25. ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
    NeurIPS 2024 ·

    Bozhen Hu

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26. Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction
    AAAI 2024 ·

    Yufei Huang

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27. RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
    ICLR 2024 ·

    Cheng Tan

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28. Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
    ICML 2024 ·

    Yufei Huang

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29. UniIF: Unified Molecule Inverse Folding
    NeurIPS 2024 · Zhangyang Gao