RUILAN
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Rui Lan

I am a computer vision engineer at alibaba, Beijing, where I work on deep learning, model compression, and computer vision, etc. Before that, I did my masters and bachelors at school of mechanical engineering, SCUT.

News

  • 09/2025, AIGC is applied to advertising search listings. Contributed to four articles, with FLUX-Text receiving more than 300 stars.

  • 02/2025, The release of wiki and video content in AMAP.

  • 06/2024, The AIGC startup project for "one-click video creation" delivered a demo in just two months.

  • 04/2024, AR and multimedia navigation are now available at Workers Stadium, airports, and railway stations.

  • 12/2023, The unmanned railway production line project has been implemented.

  • 03/2023, A small model is deployed on millions of daily active devices, covering over 90% of the road network, and, together with a cloud-based model, enables T+1 high-precision map feature updates.

  • 04/2022, 1 paper has been accepted by CVPR 2022.

  • 07/2021, I join the alibaba, Beijing.

  • 05/2020, 1 paper has been accepted by APPL OPTICS.

  • 08/2019, I am an intern at SenseTime, Shenzhen.

  • 10/2019, 1 paper has been accepted by IEEE T INSTRUM MEAS.

    • Recent Projects

  • AIGC Project in Advertising Search Listings

    • AIGC is applied to advertising search listings. Contributed to four articles, with FLUX-Text receiving more than 300 stars.

            

            

  • "One-Click Video Creation" Startup Project

    • The AIGC startup project for "one-click video creation" delivered a demo in just two months.

  • The AR Project

    • AR and multimedia navigation are now available at Workers Stadium, airports, and railway stations.

      

  • The Railway Project

    • The unmanned railway production line project.

  • Discover Changing Elements

    • Discover hanging elements in HD map using Poor computational performance devices.

      

  • Object Reconstruction

    • Mapping and navigating in a hectic word.

      

  • Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation

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    We present a tri-directional pyramid architecture to process and fuse multi-scale information for point cloud segmentation.

    Research

    Conference Papers:

    1. Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation
      Dong Nie, Rui Lan, Ling Wang, Xiaofeng Ren
      CVPR 2022 | paper

    Journal Papers:

    1. Robust seam tracking via a deep learning framework combining tracking and detection
      Yanbiao Zou, Rui Lan, Xianzhong Wei, Jiaxin Chen
      APPL OPTICS 2020 | paper

    2. An end-to-end calibration method for welding robot laser vision system with deep reinforcement learning
      Yanbiao Zou, Rui Lan
      IEEE T INSTRUM MEAS 2019 | paper

    Awards

  • 高德--鲜度更新方案青云奖

  • 2018-2021, Scholarship for Graduate Students

  • 2014-2018, Scholarship for Undergraduate Students