Jiahua Rao

Venues

Frequent coauthors

Papers

1. Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization
   AAAI 2026 ·

   Mingming Zhu

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2. De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion
   AAAI 2026 ·

   Xichen Sun

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3. Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction
   AAAI 2026 ·

   Jiancong Xie

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4. Accurately Predicting Protein Mutational Effects via a Hierarchical Many-Body Attention Network
   NeurIPS 2025 ·

   Dahao Xu

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5. Advancing Retrosynthesis with Retrieval-Augmented Graph Generation
   AAAI 2025 ·

   Anjie Qiao

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6. Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Molecular Graph Learning
   SIGKDD 2025 · Jiahua Rao
7. Multi-modal Contrastive Learning with Negative Sampling Calibration for Phenotypic Drug Discovery
   CVPR 2025 · Jiahua Rao
8. Quadruple Attention in Many-body Systems for Accurate Molecular Property Predictions
   ICML 2025 · Jiahua Rao
9. Reinforced Active Learning for Large-Scale Virtual Screening with Learnable Policy Model
   NeurIPS 2025 ·

   Yicong Chen

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10. RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching
    NeurIPS 2025 ·

    Runze Ma

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