Skip to content
View yzy1996's full-sized avatar
🎯
Focusing
🎯
Focusing

Organizations

@Optima-CityU

Block or report yzy1996

Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
yzy1996/README.md

Hi there 👋

😄 Hi, I'm Zhiyuan. I specialize in Generative Models, 3D Neural Fields, Multi-task Learning, and Multi-objective Optimization. LLM and few-shot learning are also research areas that I am interested in. I obtained my PhD in Computer Science at City University of Hong Kong advised by Qingfu Zhang. Before this, I obtained my bachelor's degree in Automation at Xi'an Jiaotong University.

1. How do you take notes?

I mainly use Goodnotes for handwriting and Markdown for digital writing.

2. What Markdown editor do you use?

I mainly use Typora, sometimes I would also use VSCode with some extensions (e.g. Markdown All in One, Markdown+Math), and recently I find Mathpix Markdown is worth trying. I would use hackmd when I need online collaboration.

3. What Latex editor do you use?

I mainly use Overleaf and highly recommend it. I also recommend subscribing a plan so that you can back up your files via Dropbox and access full History feature.

4. Do you have some tips when using markdown/latex?

Here are some tools I often use: Mathpix Snipping - digitize handwritten or printed text into Latex; Detexify - find the symbol you want by drawing; PicGo - picture bed management.

Pinned Loading

  1. English-Writing English-Writing Public

    Enhance Your English Writing for Science Research 写论文英语素材

    1.2k 107

  2. Awesome-Learn-3D-From-2D Awesome-Learn-3D-From-2D Public

    A collection of resources on learning 3D object from 2D images.

    143 8

  3. Python-Code Python-Code Public

    Variety of miscellaneous code of python

    Python 64 45

  4. Awesome-Generative-Model Awesome-Generative-Model Public

    A collection of resources on Generative Model.

    Python 32

  5. Awesome-GANs Awesome-GANs Public

    A collection of resources on Generative Adversarial Networks and some of my reading notes.

    Python 4 1

  6. Awesome-Shape-Correspondence Awesome-Shape-Correspondence Public

    A collection of resources on Shape Correspondences and some of my reading notes.

    9