Fanyou Wu | 吴凡优

Graduate Research Assistant
Department of Forestry and Natural Resources
Purdue University

I am Fanyou Wu, currently a Ph.D. candidate at Purdue University from the Forestry and Natural Resources Department. Before attending Purdue, I received my master degree from University of Eastern Finland (2018) and bachelor degree from Nanjing Forestry University (2015) both in Wood Material Science. I was also an exchange student in the University of British Columbia (2013). Now my research focuses on applying machine learning to forest-related problems e.g., wood identification through image recognition.

Attending machine learning related competitions is my side interesting, and I have won many championships and runners-up in machine learning related competitions and top conference competitions at KDD, IJCAI, NeurIPS and CVPR.

News

Jul 25, 2021 I received \(10^{th}\) place for KDD CUP 2021 Reinforcement Learning Competition Track (RL Track).
Jun 20, 2021 I received \(2^{nd}\) place for CVRP 2021 The 2nd Agriculture-Vision Prize Challenge.

Selected publications

  1. 🌳
    Deep BarkID - A Portable Tree Bark Identification System by Knowledge Distillation
    Wu, Fanyou, Gazo, Rado, Benes, Bedrich, and Haviarova, Eva
    Under review (European Journal of Forest Research) 2021
  2. 🌳
    Wood Identification Based on Longitudinal Section Images by Using Deep Learning
    Wu, Fanyou, Gazo, Rado, Haviarova, Eva, and Benes, Bedrich
    Wood Science and Technology 2021
  3. 🚥
    Behavior2vector: Embedding Users’ Personalized Travel Behavior to Vector
    Liu, Yang, Wu, Fanyou, Lyu, Cheng, Liu, Xin, and Liu, Zhiyuan
    IEEE Transactions on Intelligent Transportation Systems 2021
  4. 📷
    Efficient Project Gradient Descent for Ensemble Adversarial Attack
    Wu, Fanyou, Gazo, Rado, Haviarova, Eva, and Benes, Bedrich
    arXiv preprint arXiv:1906.03333 2019