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

Nature-2021 Advancing mathematics by guiding human intuition with AI

Jan 8 PaperNote other Comments Word Count: 351(words) Read Count: 1(minutes)

ICLR-2018 Learning to Represent Programs with Graphs

Jan 6 PaperNote CL, SE Comments Word Count: 84(words) Read Count: 1(minutes)

CVPR-2018 Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Jan 5 PaperNote CV Comments Word Count: 83(words) Read Count: 1(minutes)

NIPS-2019 Representation Learning with Contrastive Predictive Coding

Jan 4 PaperNote CV Comments Word Count: 116(words) Read Count: 1(minutes)

CVPR-2019 Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

Jan 3 PaperNote CV Comments Word Count: 145(words) Read Count: 1(minutes)

ECCV-2020 Contrastive Multiview Coding

Jan 2 PaperNote CV Comments Word Count: 179(words) Read Count: 1(minutes)

TNNLS-2019 A Comprehensive Survey on Graph Neural Networks

Dec 29 PaperNote cs.GNN Comments Word Count: 852(words) Read Count: 2(minutes)

ICLR-2019 Graph2Seq:Graph to Sequence Learning with Attention-based Neural Networks

Dec 23 PaperNote CL Comments Word Count: 333(words) Read Count: 1(minutes)

CVPR-2020 Momentum Contrast for Unsupervised Visual Representation Learning

Dec 22 PaperNote CV Comments Word Count: 239(words) Read Count: 1(minutes)

ACL-2016 Summarizing Source Code using a Neural Attention Model

Dec 17 PaperNote CL, SE Comments Word Count: 448(words) Read Count: 1(minutes)

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