Xin Fu

Master Student at Cornell (looking for internship)

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About Me

I'm now a Master student in Electrical and Computer Engineering at Cornell University.

I was an intern at Software Analytics Group of Microsoft Research Asia. I was a research intern at University of British Columbia, supervised by Prof. Zheng Liu. I was a 2nd Prize winner at 2017 Microsoft Beauty of Programming. I finished my undergraduate degree at Wuhan University.

My interests include: applied machine learning, backend devlopment and computer vision applications.

News

Education & Experiences

  • School of Engineering, Cornell University, Ithaca, NY
    Aug. 2019 - Present
  • Department of Electronic Engineering, School of Electronic Information, Wuhan University, China
    Sept. 2015 - June 2019
  • School of Engineering, University of British Columbia, Canada
    July 2018 - Oct. 2018

  • R&D Intern, Software Analytics Group, Microsoft Research Asia (MSRA), China
    Feb. 2019 - July 2019
  • Research Intern, ISDPR Lab, University of British Columbia, Canada
    Supervised by Prof. Zheng Liu.
  • Research Assistant, Digital Signal Processing Lab, Wuhan University, China
    Since 2016, supervised by Dr. Jia Yan and Prof. Cien Fan.

Projects

→ Full list

Artistic Image Generation from Sketch by Using Conditional Adversarial Network and Style Feature Transform

This project helps turn your casual sketches into beautiful artwork automatically, based on Deep Learning image-to-image translation and arbitrary style transfer.

Final project for Digital Image Processing course, supervised by Dr. Jia Yan.

Jun. 2018, Python

[Demo] [GitHub] [Report]

Image Aesthetics Assessment Using Composite Features From off-the-shelf Deep Models

Xin Fu, Jia Yan, Cien Fan

IEEE International Conference on Image Processing (ICIP), 2018 as Presentation

[Arxiv] [IEEE] [ICIP]

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)

Technical: KBQA-based Model, Image Classification, Caffe Image Aesthetics Analysis Model, Azure Deployment

Aug. 2017, Python, Javascript, C#

Automatic Piloting Quadcopter

Built an autonomous quadcopter control system with machine vision. Won the 1st Prize in 2017 National Undergraduate Electronic Design Contest, Hubei Province

Technical: Cascade PID Controller Algorithm, Real-time Object Tracking based on Image Processing, ARM STM32 board.

Aug. 2017, C, STM32

No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement

Jia Yan, Jie Li, Xin Fu

Journal of Visual Communication and Image Representation, 2018 (Under review)

[GitHub]

Publications

  1. Xin Fu, Wang Yun, et al. Visualization Assessment: A Machine Learning Approach, 2019 IEEE InfoVis Conference, accepted
  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, accepted
  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 (ICIP 2018), accepted
  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

Awards & Honors

Contests

  • 2nd Prize of Microsoft Beauty of Programming (2/2500, top 0.1%)   2017
  • 1st Prize of National Undergraduate Electronic Design Contest, Hubei Prov. (top 1%)   2016 & 2017
  • 3rd Prize of National English Competition for College Students (top 5%)   2017

Scholarships

  • Yu Gang Scholarship   2016
    Rank 1st out of the school
  • Ruan Liping Scholarship   2017
    Rank 4th out of the school
Last Updated: 9/7/2019, 6:35:38 PM