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  • China NanHu Academy of Electronics And Infomation Technology
  • ZheJiang, China
  • 01:54 (UTC +08:00)
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fuxuelinwudi/README.md

Hi 👋, I'm 男枪哥

fuxuelinwudi's GitHub stats

  • 🌱 I’m currently learning ...

Check out my work below!

获奖记录(Award Record):

  • 🏆 2024全球人工智能技术创新大赛GAIIC - 赛道一 - 无人机视角下的双光目标检测 - 二等奖 8/1000
  • 🏆 2023全球智能汽车AI挑战赛 - 赛道一 - AI大模型检索问答 - 9/730
  • 🏆 2023ACL Doc2dial Workshop - 检索召回 - 2/394
  • 🏆 2023第二十二届中国计算语言学大会CCL - 电信网络诈骗案件分类 - 二等奖
  • 🏆 2023全球人工智能技术创新大赛GAIIC - 赛道一 - 影像学NLP医学影像诊断报告生成 - 二等奖 4/1100
  • 🏆 2022全球人工智能技术创新大赛GAIIC - 赛道二 - 商品标题识别 - 二等奖 5/2000
  • 🏆 2022同花顺算法大赛 - 赛道一 - 金融领域的事件因果关系抽取 - 一等奖 - 1/70
  • 🏆 2022科大讯飞遗址文化领域知识抽取与问答挑战赛 - 5/n
  • 🏆 2022法研杯CAIL - 信息抽取 - 二等奖 - 3/413
  • 🏆 2022法研杯LAIC - 犯罪事实实体抽取 - 二等奖 - 6/152
  • 🏆 2022法研杯LAIC - 司法文本小样本多任务 - 二等奖 - 6/73
  • 🏆 2022数字化运营ATEC - 数据挖掘 - 优胜奖 - 15/125
  • 🏆 2022微信大数据挑战赛WBDC - 多模态推荐 - 三等奖 - 68/3204
  • 🏆 2021第五届达观杯 - 基于大规模预训练模型的风险事件标签识别 - 三等奖 - 6/1067
  • 🏆 2021微信大数据挑战赛WBDC - 推荐 - 三等奖 - 14/6768
  • 🏆 2021天池英特尔大师杯CCKS - 赛道三 - 地址解析 - 三等奖 - 6/1067
  • 🏆 2021全球人工智能技术创新大赛GAIIC - 赛道一 - 多标签分类,17/4338
  • 🏆 2021全球人工智能技术创新大赛GAIIC - 赛道三 - 二分类,28/5346
  • 🏆 2021马上消费天马杯全球高校科技创新大赛(摘要生成与分类)- 决赛入围奖

论文(Paper):

  • 🏆 Exploration of multilingual prompts in document-grounded dialogue - ACL 2023 WorkShop
  • 🏆 System Report for CCL23-Eval Task 6:Double-strategy classification optimization algorithm based on pre-training language model - ACL-CCL2023 Tech Report

Pinned Loading

  1. ccks2021_track3_baseline ccks2021_track3_baseline Public

    a baseline to practice

    Python 44 15

  2. LEBERT_pytorch_copied_from_author LEBERT_pytorch_copied_from_author Public

    Python 14

  3. GAIIC2023_4TH GAIIC2023_4TH Public

    GAIIC2023,摘要生成,初赛A榜1st、B榜2nd, 复赛A榜1st、B榜4th

    2 1

  4. GAIIC2024_track2_SEMI_8th GAIIC2024_track2_SEMI_8th Public

    GAIIC2024,无人机双光目标检测,复赛8th

    1

  5. fuxuelinwudi fuxuelinwudi Public

  6. awesome-snn-conference-paper awesome-snn-conference-paper Public

    Forked from AXYZdong/awesome-snn-conference-paper

    🔥 This repo collects summit papers, codes about Spiking Neural Networks for anyone who wants to do research on it. We are continuously improving the project.