Resume

Education

• 2021.9 ~ Present: Master of Science in Computer Science, ETH Zurich
  • GPA: 5.90 / 6.0
  • Selected Courses: Computer Graphics (6.0), Shape Modeling and Geometry Processing (6.0), Advanced Systems Lab (6.0), Algorithms Lab (6.0), Probabilistic Artificial Intelligence (6.0)
• 2016.9 ~ 2020.6: Bachelor of Science in Computer Science and Technology, Peking University

Master Thesis: Guided Scatter Decisions for Volume Rendering

• Modification of the delta tracking algorithm to achieve arbitrary binary volume-surface sample distribution.
• Derivation of the target distribution utilizing the volume path guiding framework.

Academic Project

• 2022.6 ~ 2022.9: Evaluation of Transmittance Sampling Techniques in PBRT V4
  • Evaluation of power-series CMF, unbiased ray marching and debiasing method under the null-scattering path integral framework.

Work Experience

• 2021.1 ~ 2021.8: Full-time Graphics Engineer and Techinical Artist, Nuverse, Bytedance
  • Real-time Rendering Algorithm and Shader Development in Unity URP
    • Cluster-based Lighting
    • Screen Space Planar Reflection
    • Auto Exposure
  • Houdini Open World Editing Tools
• 2020.5 ~ 2020.8: Game Development Engineering Intern, Morefun Game Studio, Tencent
  • MLP-based Real-time Human Motion Generation Neural Network
• 2019.9 ~ 2019.12: Machine Learning Software Engineering Intern, TensorFlow Team, Google China
  • GAN-based Photorealistic Image Generation from Semantic Masks with TensorFlow 2.0

Publication

I worked on computer vision and deep learning during my bachelor’s and published a paper as the second author.

Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection

• Ruihai Wu, Kehan Xu, Chenchen Liu, Nan Zhuang, Yadong Mu
• AAAI 2020, oral presentation

Skills

Proficient in:

• C/C++, C#, Python
• CUDA
• OpenGL, Vulkan
• Unity
• Blender, Houdini
• Pytorch, TensorFlow

Languages

• English: Fluent
• Japanese: Fluent
• Chinese: Mother Tongue