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163 followers · 100 following

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Achievements

Achievement: QuickdrawAchievement: Starstruckx3Achievement: Arctic Code Vault ContributorAchievement: Pull Shark

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@Optima-CityU

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yzy1996/README.md

Hi there ๐Ÿ‘‹

๐Ÿ˜„ 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 degree 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.

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  1. English-Writing English-Writing Public

    Enhance Your English Writing for Science Research ๅ†™่ฎบๆ–‡่‹ฑ่ฏญ็ด ๆ

    1.1k 104

  2. Python-Code Python-Code Public

    Variety of miscellaneous code of python

    Python 61 48

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

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

    139 9

  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 5 1

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

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

    5