Brief summary of my experiences and projects during college 👨‍🎓


  • Uber ATG, Machine Learning Platform, 2020 Summer

    Pipeline and parallelize CI/CD for inference benchmarking and evaluation.

  • Microsoft Research Asia, Software Analytics Group, 2019 Spring

    Research on analyzing and assessing data visualizations with deep learning models.

  • Xiaomi Technology, AI & Cloud Platform, 2018 Fall

    Model inference acceleration for production using NVIDIA TensorRT.

  • University of British Columbia, 2018 Summer


Open Source

  • keras-flask-deploy-webapp : Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
  • sketch-to-art : Create artwork from your casual sketch with GAN and style transfer. It’s based on Deep Learning image-to-image translation and arbitrary style transfer. Demo . (Jun. 2018)
  • pile : A cross-platform work management app to organize your piled work at one place. Made with Electron and Vue.js. (Feb. 2018)
  • vuepress-homepage : Elegant & friendly homepage (bio, tech portfolio, resume, doc…) template with Markdown and VuePress . (Apr. 2018)
  • whu-thesis : LaTeX template for Wuhan University undergraduate thesis. (Apr. 2019)
  • Quality Assessment using Contrast Enhancement: No-reference image quality assessment metric by using SSIM of original and equalized image. (Mar. 2018) CEIQ
  • Intelligent Chatbot for the University: A chatbot based on natural language processing and machine learning. Won the 2nd Prize (2/1100) in 2017 Beauty of Programming (Microsoft Research Asia & IEEE)
  • Automatic Piloting Quadcopter: Built an automous quadcopter control system with machine vision. Won the 1st Prize in 2017 National Undergraduate Electronic Design Contest, Hubei Province. (Aug. 2017)


Luckily, I published a few articles from my projects. See my Google Scholar 📚

  1. Xin Fu, Wang Yun, et al. Visualization Assessment: A Machine Learning Approach, 2019 IEEE InfoVis Conference
  2. Xin Fu, Zheng Liu, et al. Towards End-to-end Pulsed Eddy Current Classification and Regression with CNN, 2019 IEEE International Instrumentation and Measurement Technology Conference
  3. Xin Fu, Jia Yan, Cien Fan. Image Aesthetics Assessment using Composite Features from Off-the-shelf Deep Models, 2018 IEEE International Conference on Image Processing
  4. Jia Yan, Jie Li, Xin Fu. No Reference Quality Metric of Contrast Distorted Images using Equalization, Journal of Visual Communication and Image Representation 2018, submitted