about

Ryan Gao

Education

2013.09 - Now

Jiangnan University - Mircoelectronics Bachelor

2016.12 - Now

Udacity - Self-Driving Car Nanodegree

2016.07 - 2016.11

Udacity - Machine Learning Nanodegree

Projects

2017.4-Now

Object Detection: Multi-View 3D object Detection - github.com/RyannnG/MV3D_TF(in progress)

● Using Lidar and Mono camera to detect objects’ 3D locations

● Re-implemented Faster-RCNN on Tensorflow

2016.12

Computer Vision: Advanced Lane Detection - github.com/RyannnG/CarND-Advanced-Lane-Lines

● Using color transform and gradients to create thretholded binary images

● Finding lane pixels and fit to find lane curvature

2016.11

Computer Vision: Google SVHN Recognition- github.com/RyannnG/Capstone-Google-SVHN-Digits-Recognition

● Built a small ConvNet on Tensorflow which capable of recognizing number sequnces

2016.10

Q-Learning: Teaching car how to drive- github.com/RyannnG/Udacity-Machine-Learning-Nanodegree

● Applied Q-learning for a self-driving agent in a game world to reach its destinations in the allotted time.

● Improved upon the Q-Learning algorithm to find the best configuration of learning and exploration factors to ensure the self-driving agent was reaching its destinations

Internships

2017.02 – Now

Uisee Technology (Beijing) Ltd – Computer Vision Intern

● 3D object detection using stereo image pairs
● 3D object detection using Lidar and mono images

2016.07 – 2016.10

Variable Supercomputer Tech – Algorithm Intern

● Collected leased tokens on the Internet, and abstracted them from the raw data
● Analyzed the leased tokens to get their statistical characteristics using Python
● Participated in testing the computing nodes.