Yang Tan

Master Student @ECUST

Shanghai, China
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Recent Posts

  • 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

  • PaperNote

    ICLR-2025 Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization

    2025-04-01

  • PaperNote

    NeurIPS-2024 Multi-Scale Representation Learning for Protein Fitness Prediction

    2025-03-16

  • PaperNote

    KDD-2023 Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design

    2025-03-15

Protein generation with evolutionary diffusion:sequence is all you need

Sep 30 PaperNote BI Comments Word Count: 1.8k(words) Read Count: 6(minutes)

NIPS-2022 PEER:A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

Sep 30 PaperNote BI Comments Word Count: 184(words) Read Count: 1(minutes)

Nucleic Acids Research-2022 DeepLoc 2.0:multi-label subcellular localization prediction using protein language models

Sep 16 PaperNote BI Comments Word Count: 657(words) Read Count: 2(minutes)

Bioinformatics-2017 DeepLoc:prediction of protein subcellular localization using deep learning

Sep 16 PaperNote BI Comments Word Count: 312(words) Read Count: 1(minutes)

Neural Subgraph Matching

Aug 29 PaperNote cs.GNN Comments Word Count: 965(words) Read Count: 3(minutes)

NIPS-2021 FLIP:Benchmark tasks in fitness landscape inference for proteins

Aug 8 PaperNote BI Comments Word Count: 1.6k(words) Read Count: 6(minutes)

ICLR-2022 LoRA:Low-Rank Adaptation of Large Language Models

Aug 6 PaperNote CL Comments Word Count: 1k(words) Read Count: 3(minutes)

Nature Biotechnology-2022 Learning protein fitness models from evolutionary and assay-labeled data

Aug 4 PaperNote BI Comments Word Count: 959(words) Read Count: 3(minutes)

Nature Machine Intelligence-2023 Structure-inducing pre-training

Jul 19 PaperNote BI Comments Word Count: 1.1k(words) Read Count: 3(minutes)

PoET:A generative model of protein families as sequences-of-sequences

Jun 19 PaperNote BI Comments Word Count: 935(words) Read Count: 3(minutes)

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