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Hi 👋! Here is Fu Yingji.

I am thrilled to share that I was admitted by PolyU as a PhD student! My research interest lies in leveraging artificial intelligence to further our understanding of the brain and its applications in neuroscience. Previously I was pursuing a master's degree at the BME, CityU, specializing in the intersection of artificial intelligence and medical image analysis. With a background in researching medical pathological images and CT scans during my undergraduate studies, I am eager to expand my knowledge in the field of neuroscience and learn about advanced imaging techniques used in brain science.

Furthermore, I am thrilled to broaden my knowledge in other disciplines, such as medical robotics and drug delivery. I aspire to delve into these areas and contribute to the advancement of healthcare technology in the future. Please learn more about me from my personal website.

Yingji Fu's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

clam icon clam

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

cs231n-2017-summary icon cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cv icon cv

✔️最全面的 深度学习CV 笔记【吴恩达 深度学习】【李沐 动手学深度学习】【我是土堆 Pytorch】

cyclemix icon cyclemix

[CVPR 2022] CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision

deeppath icon deeppath

Classification of Lung cancer slide images using deep-learning

docker-prompt-generator icon docker-prompt-generator

Using a Model to generate prompts for Model applications. / 使用模型来生成作图咒语的偷懒工具,支持 MidJourney、Stable Diffusion 等。

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fast-pathology icon fast-pathology

⚡ Open-source software for deep learning-based digital pathology

graph-v-net icon graph-v-net

A Hierarchical Graph V-Net with Semi-supervised Pre-training for Breast Cancer Histology Image Classification" (IEEE TMI)

langhelper icon langhelper

Striving to create a great Application with full functions of learning languages by ChatGPT, TTS, STT and other awesome AI models, supports talking, speaking assessment, memorizing words with contexts, Listening test, so on.

math_model icon math_model

数学建模、美赛、美国大学生数学建模竞赛、全国大学生数学建模竞赛、华为杯研究生数学建模、国赛LaTeX模板、美赛LaTeX模板、mathorcup、电工杯、华中赛、APMCM、深圳杯、中青杯、华东杯、数维杯、东三省数学建模、认证杯、数学建模书籍、常用matlab算法、国赛评阅要点、软件模型算法汇总、智能算法、优化算法、现代的算法

mib2 icon mib2

Microscopy Image Browser version 2 is a package for image processing, segmentation and visualization of multi-dimensional (2D-4D) microscopy datasets

miccai2020mil icon miccai2020mil

MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"

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