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

MSR-2020 Improved Automatic Summarization of Subroutines via Attention to File Context

Dec 16 PaperNote CL, SE Comments Word Count: 80(words) Read Count: 1(minutes)

ICPC-2020 Improved Code Summarization via a Graph Neural Network

Dec 15 PaperNote CL, SE Comments Word Count: 145(words) Read Count: 1(minutes)

CVPR-2021 Masked Autoencoders Are Scalable Vision Learners

Dec 14 PaperNote CV Comments Word Count: 137(words) Read Count: 1(minutes)

ICLR-2019 code2seq:Generating Sequences from Structured Representations of Code

Dec 12 PaperNote CL, SE Comments Word Count: 56(words) Read Count: 1(minutes)

NIPS-2021 Intriguing Properties of Vision Transformers

Dec 9 PaperNote CV Comments Word Count: 84(words) Read Count: 1(minutes)

ICLR-2021 An Image is Worth 16x16 Words:Transformers for Image Recognition at Scale

Dec 8 PaperNote CV Comments Word Count: 155(words) Read Count: 1(minutes)

ACL-2020 Towards Context-Aware Code Comment Generation

Dec 6 PaperNote CL, SE Comments Word Count: 67(words) Read Count: 1(minutes)

ICPC-2021 Project-Level Encoding for Neural Source Code Summarization of Subroutines

Dec 2 PaperNote CL, SE Comments Word Count: 58(words) Read Count: 1(minutes)

NIPS-2014 Sequence to Sequence Learning with Neural Networks

Nov 29 PaperNote CL Comments Word Count: 37(words) Read Count: 1(minutes)

ACL-2019 BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding

Nov 23 PaperNote CL Comments Word Count: 129(words) Read Count: 1(minutes)

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