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

  1. quoted from Linus.