Ying-Sheng Luo

I use Computer Graphics for

About

Ying-Sheng Luo 羅應陞

I'm currently a research engineer from Inventec Corp., a world-leading computer and electronics manufacturer with more than 16 billion USD annual revenue. At Inventec AI Center, I focus on improving its manufacturing processes and pushing its technological advancements through deep learning algorithms.

Phone: +886-912-378590
Email: tray307969@gmail.com

City: Taipei, Taiwan
Language: English, Chinese (Native)

I received my M.Sc in Computer Science from the National Taiwan University of Science and Technology (2018), advised by Professor Yu-Chi Lai. My work lies in the intersection between computer graphics and machine learning, with a focus on reinforcement learning for motion control of simulated characters and real-time rendering.

I'm also a computer graphics enthusiast and like to apply computer graphics knowledge I've learned in my other hobbies & side projects. There are examples from my piano cover videos where I seamlessly added 3D virtual objects with convincing lighting and reflections to make the video more interesting.

Resume [PDF]

Education

Master of Computer Science

Sep 2016 - June 2018

National Taiwan University of Science and Technology, Taipei, Taiwan

Thesis: Intuitive and Easily-Installed Fenestration and Light Control Framework
Implemented precomputed radiance transfer method to estimate global illumination
Graduated with 4.18 out of 4.3 GPA

Bachelor of Computer Science

Sep 2013 - June 2016

National Taiwan University of Science and Technology, Taipei, Taiwan

Ranked 1 in undergrde class
Received presidential award
Graduated with 3.94 out of 4.0 GPA

Work Experience

Research Engineer

July 2018 - Present

Inventec Corp., Taiwan

Publish international conference papers on quadruped robots, covering topics such as learning diverse skills, skill transitions, motion smoothing, perception, and navigation.
Deploy the RL policies trained in simulation to the real-world Unitree A1 quadruped robot to perform many skills using Sim2Real techniques
Invent the transition motion tensor to enable controllable and versatile character movements in physics-enabled simulation
Design a controller for simulated characters using Deep-RL and GAN such that the character produces natural movements while obeying high-level user directives
Research and deploy state-of-the-art deep learning solutions for internal business units; 4 issued and pending patents
Build an iOS App and backend Restful API server with Kafka job queues to deploy the AI medical product. The medical iOS App passed the security certificate licensed by Gapertise

Graphics Engineer Intern

June 2015 - Sep 2015

International Games System Corp., Taiwan

Developed VFX effects using GLSL in a mobile car racing game
Implemented color grading, dynamic clouds, lightmaps, and HDR cubemap using GLSL and Cocos2d
Explored GPU performance analysis tool to improve rendering performance on mobile devices