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  • Beijing Institute of Technology
  • Beijing, China
  • 02:57 (UTC +08:00)

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lchdl/README.md

Hi! 👋 I'm Chenghao Liu, and thanks for stopping by ⭐

💡 About me

I am currently a PhD candidate 🎓 at Beijing Institute of Technology, where my research focuses on 🧐 using deep learning for medical image analysis 🧠. Besides, I am now working on optimizing ad recommender systems with generative retrieval using LLMs at Tencent.

✨ My interests

  • 💻 Programming some interesting stuff.
  • 🎯 Rigid/soft body simulation using C/C++: XPBD.
  • 🌄 Computer graphics
    • 🌄 Traditional: ray/path tracing, GI, PBR (physically based rendering).
    • 🌄 Modern: NeRF, DDPM.
    • 🌄 Parallel computing with CUDA C++ & NVRTC.
  • 🎥 3D modeling: 3Ds MAX, Blender.
  • 💖 I’m also fascinated by pixelated art styles and old-school graphics.

📦 Current side projects

  • 🔨 SGL (Software Graphics Library): Implementing my own OpenGL on the CPU, with
    • 🔮 Fully customizable vertex and fragment shader support
    • 🔮 Skeletal animation support
    • 🔮 Decent rasterization performance (~2ms for 320x240 resolution with 1000 triangles)

💽 Tech stack & softwares

CC++PythonVimCMakebashLaTeXGitVisual Studio CodeVisual StudioSublime TextNumPyTensorFlowMATLABBlenderPhotoshop

OpenGLQtMatplotlibPyTorchscikit-learnSciPyAdobe After EffectsAdobe Illustrator

📫 Contact

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  1. sglsglPublic

    Tiny software rasterizer with programmable shader & skeletal animation support written in C++.

    C 5

  2. DeepWMHDeepWMHPublic

    DeepWMH: Annotation-free white matter hyperintensity (WMH) lesion segmentation tool using deep learning.

    Python 27 3

  3. NLL_anomaly_detectionNLL_anomaly_detectionPublic

    A simple anomaly detection algorithm for medical imaging based on multi-atlas image registration and negative log likelihood.

    Python 19 1