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). 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
Under review (European Journal of Forest Research) 2021
2. 🌳
Wood Identification Based on Longitudinal Section Images by Using Deep Learning
Wood Science and Technology 2021
3. 🚥
Behavior2vector: Embedding Users’ Personalized Travel Behavior to Vector
IEEE Transactions on Intelligent Transportation Systems 2021
4. 📷
Efficient Project Gradient Descent for Ensemble Adversarial Attack
arXiv preprint arXiv:1906.03333 2019