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-2019 Structured Neural Summarization

Feb 15 PaperNote CL, SE Comments Word Count: 398(words) Read Count: 1(minutes)

SIGIR-2021 Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations

Feb 12 PaperNote CL, SE Comments Word Count: 936(words) Read Count: 3(minutes)

ICML-2021 Learning Transferable Visual Models From Natural Language Supervision

Feb 11 PaperNote CL, CV Comments Word Count: 1.7k(words) Read Count: 6(minutes)

AAAI-2017 SeqGAN:Sequence Generative Adversarial Nets with Policy Gradient

Feb 9 PaperNote CL Comments Word Count: 1.6k(words) Read Count: 5(minutes)

ACL-2021 HAConvGNN:Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks

Feb 7 PaperNote SE Comments Word Count: 356(words) Read Count: 1(minutes)

Blog-2022 Novelty in Science

Feb 7 BlogNote other Comments Word Count: 527(words) Read Count: 1(minutes)

AAAI-2018 Generative Adversarial Network for Abstractive Text Summarization

Feb 7 PaperNote CL Comments Word Count: 365(words) Read Count: 1(minutes)

IJCAI-2021 Graph-Augmented Code Summarization in Computational Notebooks

Feb 6 PaperNote CL, SE Comments Word Count: 150(words) Read Count: 1(minutes)

ICCV-2021 Emerging Properties in Self-Supervised Vision Transformers

Feb 4 PaperNote CV Comments Word Count: 89(words) Read Count: 1(minutes)

ICCV-2021 An Empirical Study of Training Self-Supervised Vision Transformers

Feb 1 PaperNote CV Comments Word Count: 147(words) Read Count: 1(minutes)

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