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

arXiv-2021 How Much Can CLIP Benefit Vision-and-Language Tasks?

Sep 17 PaperNote CL, CV Comments Word Count: 117(words) Read Count: 1(minutes)

arXiv-2021 ActionCLIP:A New Paradigm for Video Action Recognition

Sep 17 PaperNote CV Comments Word Count: 753(words) Read Count: 2(minutes)

arXiv-2021 CLIP4Clip:An Empirical Study of CLIP for End to End Video Clip Retrieval

Sep 17 PaperNote CV Comments Word Count: 602(words) Read Count: 2(minutes)

SIGGRAPH-2022 CLIPasso:Semantically-Aware Object Sketching

Sep 17 PaperNote CV Comments Word Count: 864(words) Read Count: 3(minutes)

ACL-2015 Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

Sep 16 PaperNote CL Comments Word Count: 815(words) Read Count: 3(minutes)

arXiv-2022 A Survey of Deep Learning Models for Structural Code Understanding

Sep 14 PaperNote CL, SE Comments Word Count: 324(words) Read Count: 1(minutes)

arXiv-2022 GLIPv2:Unifying Localization and Vision-Language Understanding

Sep 5 PaperNote CL, CV Comments Word Count: 101(words) Read Count: 1(minutes)

ICLR-2022 Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Sep 5 PaperNote CL, CV Comments Word Count: 647(words) Read Count: 2(minutes)

CVPR-2022 Grounded Language-Image Pre-trainin

Sep 5 PaperNote CL, CV Comments Word Count: 370(words) Read Count: 1(minutes)

CVPR-2022 GroupViT:Semantic Segmentation Emerges from Text Supervision

Sep 4 PaperNote CL, CV Comments Word Count: 542(words) Read Count: 2(minutes)

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