Yang Tan

Master Student @ECUST

Shanghai, China
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Recent Posts

  • PaperNote

    Movie Gen:A Cast of Media Foundation Models

    2025-06-05

  • PaperNote

    NeurIPSw-2024 Mixture of Experts Enable Efficient and Effective Protein Understanding and Design

    2025-05-26

  • PaperNote

    NeurIPS-2023 Predicting a Protein’s Stability under a Million Mutations

    2025-05-23

  • PaperNote

    Scaling unlocks broader generation and deeper functional understanding of proteins

    2025-04-19

  • PaperNote

    Prot42:a Novel Family of Protein Language Models for Target-aware Protein Binder Generation

    2025-04-10

ICLR-2023 Flow Matching for Generative Modeling

Feb 17 PaperNote CV Comments Word Count: 4.4k(words) Read Count: 17(minutes)

ICML-2023 End-to-End Full-Atom Antibody Design

Feb 12 PaperNote BI Comments Word Count: 5.9k(words) Read Count: 22(minutes)

Bioinformatics-2024 Expert-guided protein language models enable accurate and blazingly fast fitness prediction

Jan 19 PaperNote BI Comments Word Count: 2.9k(words) Read Count: 10(minutes)

ICLR-2023 Conditional Antibody Design as 3D Equivariant Graph Translation

Jan 19 PaperNote BI Comments Word Count: 4k(words) Read Count: 14(minutes)

Large scale paired antibody language models

Jan 13 PaperNote BI Comments Word Count: 2.7k(words) Read Count: 9(minutes)

ACL-2024 LlamaFactory:Unified Efficient Fine-Tuning of 100+ Language Models

Jan 9 PaperNote CL Comments Word Count: 2.8k(words) Read Count: 10(minutes)

ICLR-2022 Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design

Jan 7 PaperNote BI Comments Word Count: 4k(words) Read Count: 14(minutes)

NeurIPS-2022 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures

Jan 7 PaperNote BI Comments Word Count: 2.8k(words) Read Count: 10(minutes)

IgDesign:In vitro validated antibody design against multiple therapeutic antigens using inverse folding

Jan 2 PaperNote BI Comments Word Count: 2.3k(words) Read Count: 8(minutes)

面向非完备数据集的深度学习

Nov 19 DeepLearning Comments Word Count: 2.5k(words) Read Count: 9(minutes)

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