Zenghao Gao


I’m interested in rendering techniques, denoising methods, and artistic style transfer.

Personal Information

E-Mail mike@mikegao.net
Languages English (Fluent), Chinese (Native)
Programming Languages C++, Python (Proficient) Javascript, Java (Intermediate)
Related Coursework The online courses I’ve attended includes:
2016:Stanford CS229 (no grade) / MIT 6.837 (no grade)
2017:Stanford CS231n (no grade) / Coursera DeepLearning.ai 1, 2, 4 (pass)
2018:University Urecht Computer Graphics (no grade) / Coursera DeepLearning.ai 3, 5 (pass)
I also read related textbooks such as PRML and PBRT.
In addition, I attended SIGGRAPH 17’, a computer graphics symposium.


Type Secondary
Institution Choate Rosemary Hall
Year 2015 - 2019

Work Experience

Dates June 2016 - July 2016
Employer Baidu, Inc.
Position Engineering Intern @ Institute of Deep Learning
Responsibilities Working with PH.D. candidates in face recognition team at Baidu’s Lab, I
- Worked on a facial expression detection software
- Developed a diagnostics software for the team to collect bad samples automatically; designed an efficient database structure for logging purposes (Still being used internally at Baidu!)

Dates June 2017
Employer Ubisoft Shanghai
Position Brand Assisting Intern
Responsibilities Working with college interns at Ubisoft Shanghai, I
- Conducted research on the focus group and gathered game experience feedbacks
- Wrote an analytics software that predicts game popularity
- Worked on the planning of Ubisoft’s showcase at ChinaJoy 2017

Dates June 2018 - July 2018
Employer Chinese University of Hong Kong
Position Research Intern
Responsibilities Working under Prof. Yangsheng Xu,
- I co-authored a paper with Dr. Xingchao Wang on using Generative Adversarial Networks to generate music from image features.
- I assisted the autonomous vehicle research group on their segmentation project.
- My paper is accepted to IEEE ROBIO 2018.