About me
I’m a second-year undergraduate student from School of Intelligent Software and Engineering, Nanjing University.
My research interest includes machine learning, deep learning , hotspots detection for chip layout design.
Skills
1.rap
I can sing, dance, rap and basketball. 😆
2.Programming (A little)
#include <iosream>
using namespace std;
int main(){
cout << "hello world!";
return 0;
}
3.HTML (A little)
<div style="text-align:center">
<font style="color:red">我不会 HTML 嘻嘻</font>
</div>
<center>居中</center>
<u>下划线</u>
4.LaTeX (A little)
$$
%\usepackage{unicode-math}
\displaystyle \ointctrclockwise\mathcal{D}[x(t)]
\sqrt{\frac{\displaystyle3\uppi^2-\sum_{q=0}^{\infty}(z+\hat L)^{q}
\exp(\symrm{i}q^2 \hbar x)}{\displaystyle (\symsfup{Tr}\symbfcal{A})
\left(\symbf\Lambda_{j_1j_2}^{i_1i_2}\Gamma_{i_1i_2}^{j_1j_2}
\hookrightarrow\vec D\cdot \symbf P \right)}}
=\underbrace{\widetilde{\left\langle \frac{\notin \emptyset}
{\varpi\alpha_{k\uparrow}}\middle\vert
\frac{\partial_\mu T_{\mu\nu}}{2}\right\rangle}}_{\mathrm{K}_3
\mathrm{Fe}(\mathrm{CN})_6} ,\forall z \in \mathbb{R}
$$
\(%\usepackage{unicode-math} \sqrt{\frac{\displaystyle3\uppi^2-\sum_{q=0}^{\infty}(z+\hat L)^{q} \exp(\symrm{i}q^2 \hbar x)}{\displaystyle (\symsfup{Tr}\symbfcal{A}) \left(\symbf\Lambda_{j_1j_2}^{i_1i_2}\Gamma_{i_1i_2}^{j_1j_2} \hookrightarrow\vec D\cdot \symbf P \right)}} =\underbrace{\widetilde{\left\langle \frac{\notin \emptyset} {\varpi\alpha_{k\uparrow}}\middle\vert \frac{\partial_\mu T_{\mu\nu}}{2}\right\rangle}}_{\mathrm{K}_3 \mathrm{Fe}(\mathrm{CN})_6} ,\forall z \in \mathbb{R}\)
5.Markdown
> Talk is cheap. Show me the code. [^1]
Talk is cheap. Show me the code. 1
Skills being learned
- Git
- Anaconda
- Linux
- Ubuntu
- Markdown
- Vim
- CMake
- GNU Make
- LaTeX
- Nvidia-CUDA
- Pytorch
- Shell
- Scheme
- SQL
- Go
- Rust
Courses being learned
- CS61A (finish lab8)
- CS61B
- MIT-Missing-Semester (Part2 Shell Tools and Scripting)
- CS106L (Part 5.3 Special Member Function)
- CS188 (Project 4 tracking)
- Algorithms I & II
- Coursera: Machine Learning
- CS229
Email / Github / Wechat / Blog
quoted from Linus. ↩