Fanyou Wu | 吴凡优

Post doc
Department of Forestry and Natural Resources
Purdue University

I am Fanyou Wu, and I am a postdoc at Purdue University. I received a Ph.D. degree in Forestry from Department of Forestry and Natural Resources, Purdue University(2021). Before attending Purdue, I received my master’s degree from University of Eastern Finland (2018) and bachelor’s degree from Nanjing Forestry University (2015) both in Wood Material Science. I was also an exchange student at the University of British Columbia (2013).

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 interests, 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

Sep 14, 2022 Our tree diameter measurement and species identification App is under under testing [update].
Jul 22, 2022 I received 2nd place for KDD CUP 2022 Amazon in Task 2 and Task 3.

Selected publications

  1. 🚥
    Deep dispatching: A deep reinforcement learning approach for vehicle dispatching on online ride-hailing platform
    Yang Liu, Fanyou Wu, Cheng Lyu, Shen Li, Jiepin Ye, Xiaobo Qu
    Transportation Research Part E 2022
  2. 🌳
    Deep BarkID: A Portable Tree Bark Identification System by Knowledge Distillation
    Fanyou Wu, Rado Gazo, Bedrich Benes, Eva Haviarova
    European Journal of Forest Research 2021
  3. 🌳
    Wood Identification Based on Longitudinal Section Images by Using Deep Learning
    Fanyou Wu, Rado Gazo, Eva Haviarova, Bedrich Benes
    Wood Science and Technology 2021
  4. 📷
    Efficient Project Gradient Descent for Ensemble Adversarial Attack
    Fanyou Wu, Rado Gazo, Eva Haviarova, Bedrich Benes
    arXiv preprint arXiv:1906.03333 2019