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

3.1 8分钟机器学习介绍【stanford-cs329p】

Apr 6 stanford-cs329p Comments Word Count: 200(words) Read Count: 1(minutes)

2.5 数据科学家的日常【stanford-cs329p】

Apr 6 stanford-cs329p Comments Word Count: 73(words) Read Count: 1(minutes)

2.4 特征工程【stanford-cs329p】

Apr 6 stanford-cs329p Comments Word Count: 378(words) Read Count: 1(minutes)

EMNLP-2020 CodeBERT:A Pre-Trained Model for Programming and Natural Languages

Apr 6 PaperNote CL, SE Comments Word Count: 1k(words) Read Count: 3(minutes)

POPL-2019 code2vec:Learning Distributed Representations of Code

Apr 5 PaperNote CL, SE Comments Word Count: 1k(words) Read Count: 3(minutes)

2.3 数据变换【stanford-cs329p】

Apr 4 stanford-cs329p Comments Word Count: 479(words) Read Count: 1(minutes)

2.2 数据清理【stanford-cs329p】

Apr 4 stanford-cs329p Comments Word Count: 219(words) Read Count: 1(minutes)

CVPR-2017 Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Apr 4 PaperNote CV Comments Word Count: 1.4k(words) Read Count: 5(minutes)

Stanford-2022 AI Index Report

Apr 2 PaperNote other Comments Word Count: 3k(words) Read Count: 11(minutes)

OpenAI-2022 Text and Code Embeddings by Contrastive Pre-Training

Mar 30 PaperNote CL, SE Comments Word Count: 550(words) Read Count: 2(minutes)

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