About me
Hello, here is ZaychikLiu, welcome to my personal website!
🎉Basic Infromation
My name is Feiyang Liu(刘飞扬), I am a junior undergraduate majoring in Intelligent Science and Technologyat the School of Automation at South China University of Technology.(华南理工大学)
💻Internships and Research Experience
- 2024.11 - now Remote Intern, 3D Vision. Supervisor: Anpei Chen, ETH Zurich
- 2024.4 - 2024.9 Remote Intern, Multimodal and Computer Graphics. Supervisor: Shengfeng He,Singapore Management University
2024.8 - 2024.10 Summer Intern, 3d Reconstruction. Supervisor: Wenping Wang, [TAMU/HKU](Due to time conflict, crying)- 2024.3 - 2024.9 Undergraduate Research, Gait Recognition. Supervisor: Wenxiong Kang, South China University of Techonology
Publication
📖Education
- 2022.9 - now, Undergraduate student, South China University of Technology. (Project 985, a top 20 university in Chinese mainland)
- 2024.9 - now Visiting Student, EECS, Unibersity of California, Berkeley
🥇Honors and Awards
- Members of the Visual Team of the Automation Innovation Practice Base
- SCUT Robot Association Vision Group Officer
Current GPA:
3.6
Self-learned Courses:
- GAMES101: Introduction to Modern Computer Graphics(Online, University of California, Santa Barbara)
- GAMES102: Geometry Modeling and Processing(Online, University of Science and Technology of China)
- GAMES103: Introduction to Physics-Based Computer Animation(Online, Ohio State University)
- GAMES201: Advanced Physics Engines 2020: A Hands-on Tutorial(Still studing, it is really in-depth theory)(Online, Tachi Graphics)
- GAMES202: High-quality real-time rendering(One Part left)(Online, University of California, Santa Barbara)
- CS231n: Deep Learning for Computer Vision(Online, Stanford University)
- CS229: Machine Learning(Online, Stanford University)
Courses in Berkeley
- CS61C: Great Ideas in Computer Architecture
- CS294/194-196: Large Language Model Agents
- MECENG 239/139: Robotic Locomotion
- CS186 Introduction to Database
- CS184 Computer Graphics
Core courses in SCUT:
- Advanced Mathematics(4.0/4.0)
- Linear Algebra(4.0/4.0)
- Probability Theory and its Applications(4.0/4.0)
- C++ Advanced Programming(4.0/4.0)
- Data Structure(4.0/4.0)
- Pattern Recognition
- Introduction to Artificial Intelligence
- Numerical analysis
- Signals and Systems
- Complex function
- Integral Transform
- Digital electronic circuits
- Analog electronic circuits
- Circuit Basics
- Classical control theory
- Systems Engineering Theory
- Computer Internet
- And so on……
🔥News
- I am now searching for a long-term(2 semesters) internship in Berkeley, please contact me if you are interested!
📑 Projects
Projects, interesting homework and gadgets
- Real-time shadows(Games 201)(Uploading code)
- Global ray tracing(Games 201)(Yeah, my code is lost, crying.)
- Angry Rabbit(Games 103)
Try it here!
- Cloth Simulation(Games 103)
Try it here!
- Finite Element Simulation(Games 103)
- Water Wave Simulationt(Games 103)
Try it here!
- How to fit Mona Lisa with ellipses?(Artificial Intelligence Course Design)


- Rasterize Mavericks(Games 101)




- Bounding Volume Hierarchy(Games 101)

- Ray Tracing(Games 101)

- Cornell Box(Games 101)

- 2022.11 - 2023.1 Automatic classification and pricing of canteen dishes based on machine vision.
- 2024.3 - 2024.9 Gait Recognition(Outdoors Datasets)(Try to modify, incomplete)
- 2023.7 - 2023.9 Tencent Kaiwu Reinforcement Learning Competition.(preliminary round)
- 2023.1-2023.3 WeChat chatbot using chatgpt interface.(Unfortunately my account was banned by Tencent due to this bot.)
- 2023.5 - 2023.6 CS231n
Areas of Interest
- Computer Vision
- Computer Graphics
- 3D Reconstruction
- 3D Vision
- Diffusion Models
- Video Understanding
- Mutimodal
- SLAM
Skills
C++,Pytorch,Unity,webgl,glgs,java,javascript,html,OpenCV,OpenGL
🗒️Notes
All written in Chinese
3D Vision
- K-Planes
- Instant NGP
- Plenoxels
- Neus
- TensoRF
- VolSDF
- MipNeRF
- MipNeRF360
- DVGO
- NeRF
- PlenOctree
- PointNet
- PixelNeRF
- NeRF++
- NeRF
LLM, VLM
- CLIP and its skewers(up to 2022)
- End-to-End Object Detection with Transformers(DETR)Notes(ECCV 2020 best)
- Video Understanding Skewers
- Two-Stream Convolutional Networks for Action Recognition in Videos 2014
- Learning Transferable Visual Models From Natural Language Supervision Notes
- Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Notes
- Semantic Segmentation Skewers Up to 2017
- Contrastive Learning Skewers
- Momentum Contrast for Unsupervised Visual Representation Learning Notes
- Masked Autoencoders Are Scalable Vision Learners Notes
- AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE(ViT)Notes
- Generative Adversarial Nets Notes
- Attention Is All You Need Notes
More notes can be found here.
🏠Address
North Campus, South China University of Technology, Tianhe District, Guangzhou City, Guangdong Province, China. University of California, Berkeley
📧Contact
Weixin: ZaychikLiu
Zhihu: Zaychik
Email: Gmail