# Talks and presentations

## AWS Tokyo Deep Learning Workshop: Workshop on Deep Learning for Computer Vision, and GluonCV

December 17, 2018

Workshop, Tokyo, Japan

In this workshop I firstly introduced GluonCV, then I gave detailed explanation on the deep learning techniques for image classification, object detection and semantic segmentation respectively.

## AWS re:Invent 2018: Building State-of-the-Art Computer Vision Models Using MXNet and Gluon

November 28, 2018

Tutorial, Las Vegas, NV, USA

In this tutorial I introduced GluonCV to audiences attending Re:Invent 2018.

## useR! 2018: Tutorial on the R package for MXNet and XGBoost

July 11, 2018

Tutorial, Brisbane convention & exhibition center., Brisbane, Australia

In this tutorial I walked people through the basic usages of the R packages mxnet and xgboost.

## JSM 2016: Xgboost An R Package for Fast and Accurate Gradient Boosting

July 31, 2016

Talk, McCormick Place, Chicago, IL, USA

In this talk I introduced the package xgboost, the winner of John M. Chambers Statistical Software Award 2016.

## useR! 2016: Xgboost An R package for Fast and Accurate Gradient Boosting

June 28, 2016

Talk, Stanford University, CA, USA

In this talk I briefly introduced the usage of xgboost, as well as several highlights that we think users would love to know.