Fanyou Wu

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Fanyou Wu 吴凡优

Graduate Research Assistant
Department of Forestry and Natural Resources
Purdue University

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Biography

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

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 competation like KDD/IJCAI etc. Now I am ranking 11th in Tianchi Competition Platform held by Alibaba Company with nickname 铁球.

I am attending Kaggle and seeking team members.

Publication

Wu, F., Gazo, R., Haviarova, E., & Benes, B. (2019). Wood Identification Based on Longitudinal Section Images by using Deep Learning. (Submitted to computers and electronics in agriculture)

Wu, F., Gazo, R., Haviarova, E., & Benes, B. (2019). Efficient Project Gradient Descent for Ensemble Adversarial Attack. arXiv preprint arXiv:1906.03333. (Submitted to IJCAI 19 AIBS workshop)

Wu, F., & Kärenlampi, P. P. (2017). Phase transition in a growing network. Journal of Complex Networks, 6(5), 788-799.

Recent Competition Prizes

IJCAI-19 Alibaba Adversarial AI Challenge-Competition

KDD CUP 2019 Regular Machine Learning Competition Track (Regular ML Track)

JDD 18 Population dynamics census and prediction