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yzhangcs/README.md

Hi there 👋

My name is Yu Zhang ([jy tʃɑŋ], 張宇/张宇 in traditional/simplified Chinese).

I am currently a third-year PhD student at HLT@SUDA, advised by Prof. Guohong Fu. I expect to graduate in 2025. Prior to this, I received my M. Eng. degree from Soochow University in 2021.

My early research focused on structured prediction tasks, specifically dependency parsing and constituency parsing. Currently, my research interests have evolved to focus on developing efficient text generation models. I am particularly intrigued by the prospect of developing hardware-efficient methods for linear-time sequence modeling. As a disciple of parallel programming, I am passionate about exploring techniques that harness the power of parallel computing to develop scalable subquadratic models.

github contribution grid snake animation

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  1. sustcsonglin/flash-linear-attention sustcsonglin/flash-linear-attention Public

    Efficient implementations of state-of-the-art linear attention models in Pytorch and Triton

    Python 761 41

  2. parser parser Public

    🚀 State-of-the-art parsers for natural language.

    Python 825 138

  3. crfpar crfpar Public

    [ACL'20, IJCAI'20] Code for "Efficient Second-Order TreeCRF for Neural Dependency Parsing" and "Fast and Accurate Neural CRF Constituency Parsing".

    Python 76 7

  4. crfsrl crfsrl Public

    [COLING'22] Code for "Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments".

    Python 61 7

  5. ctc-copy ctc-copy Public

    [EMNLP'23] Code for "Non-autoregressive Text Editing with Copy-aware Latent Alignments".

    Python 19 3

  6. master-thesis master-thesis Public

    基于树形条件随机场的高阶句法分析

    TeX 15 1