Jiaxuan You


Hi! I am a senior undergraduate in Department of Automation, School of Information Science and Technology, Tsinghua University. I will become a PhD student in the Computer Science Department at Stanford University in 2017 fall.
Since April 2016, I've been working with Prof. Stefano Ermon and Prof. David Lobell, and spent a memorable summer in Stanford Artificial Intelligence Laboratory. In Tsinghua, I've been working on Machine Learning since October 2015, supervised by Prof. Jun Zhu. Before stepping into the world of AI, I had been working on modeling and simulation, under the supervision of Prof. Yi Zhang.
My research interests lie within Machine Learning.


Tsinghua University

Aug 2013-July 2017 (expected)
B.Eng. in Automation
GPA: 91/100   Ranking 4/156

Stanford University

June 2016-Sept 2016
Undergraduate Visiting Research Intern


  • Jiaxuan You, Xiaocheng Li, Melvin Low, David Lobell, Stefano Ermon, Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data, 31th AAAI Conference on Artificial Intelligence (AAAI-17).
    Best Student Paper Award (Computational Sustainability Track)
    [PDF] [Code] [Project Webpage]
  • Jiaxuan You, Xiaocheng Li, Stefano Ermon, Scalable Crop Yield Prediction Approach by Combining Deep Learning with Remote Sensing Data, Best Big Data Solution in World Bank Big Data Innovation Challenge. (1st place among 180+ teams)
    [link] [Supplementary Materials]
  • Jiaxuan You, Wei Guo, Yi Zhang et al., An Effective Simulation Model for Multi-line Metro Systems Based on Origin-destination Data, oral presented in 19th IEEE International Conference on Intelligent Transportation Systems (ITSC-2016), the flagship conference in ITS society.
    As the only undergraduate attendee, I gave 4 talks and was warmly welcomed.
    [PDF] [Photo]
  • Wei Guo, Yi Zhang, Jiaxuan You et al., Travel Modal Choice Analysis for Traffic Corridors Based on Decision-theoretic Approaches, published in Journal of Central South University (SCI, EI), Nov 2015.
  • Jiaxuan You, An Analysis for the Environmental Impact of Electric Vehicles in China Based on Empirical Investigation and Quantitative Estimation, published in Review of Economic Research 37 (2015), a Chinese Core Periodical.

Selected Research Projects

Crop Yield Prediction -- Machine Learning over Satellite Images

Jiaxuan You, Xiaocheng Li, Melvin Low, David Lobell, Stefano Ermon

Crop yield prediction is central in ensuring the food security. We introduce a scalable, accurate, and inexpensive method to predict crop yield using publicly available remote sensing data. A novel dimensionality reduction method is proposed based on histogram calculation. By combining Gaussian Process with Convolutional Neural Networks or Long-short Term Memory, the model significantly outperforms traditional models, and we show that the features automatically extracted by deep learning models are much more effective than traditional hand-crafted features.


  • National Scholarship   2015,2016

    The highest scholarship for undergraduate, granted by Ministry of Education of China
  • Shu Pin Scholarship   2014,2015,2016

    The most historical scholarship in China, the only granted student in the department
  • Min Sheng Scholarship   2015

    Awarded due to my excellent performance in social research, the only engineering student in Tsinghua
  • Tsinghua Comprehensive Merit Scholarship   2014,2015,2016

    A recognition to my overall performance in Tsinghua


  • Course work

    AI: Machine learning, Pattern Recognition, Database Systems, Data structures
    Mathematics: Probability and Statistics, Calculus, Linear Algebra, Complex Analysis, Numerical Analysis
  • Programming

    Python, C/C++, C#, MATLAB, Octave, LaTeX, TensorFlow
  • English

    GRE: Verbal-161, Quantitative-167   TOEFL iBT: 109


  • I was born in Zunhua, HeBei, China, on Jan 5th, 1997.
  • I've traveled to lots of places. See a map.
  • I love sports, including badminton, swimming, jogging, etc. And I love keeping healthy, seriously.
  • My life is driven by a simple but powerful idea, "Making the world a better place". Therefore, before turning into AI research, I've done researches in Chemistry, Economics, Social Science, Transportation and Simulation. These varied research experiences have equipped me with competence, creativity and perseverance, in the meantime, have convinced me that AI is the right path to fulfill my dream.