Skip to content
View PaulCCCCCCH's full-sized avatar

Block or report PaulCCCCCCH

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

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

Report abuse
PaulCCCCCCH/README.md

Hi there, I'm Chonghan (or Paul) 👋

I'm interested in any techy stuff within the realm of Computer Science, but here is a list of things that I'm particularly interested or experienced in

  • Full-stack Development
  • Data Infrastructure
  • Large Language Models
  • Deep Learning
  • Multimodal Machine Learning

A few thigns about me:

  • I lead the development of Robustar.
  • I love exploring things and I believe in a top-down breath-first philosophy.
  • Always working on one startup idea or another. Will found a startup once the time is ripe.

Chonghan's GitHub stats

Pinned Loading

  1. Robustar_implementation Robustar_implementation Public

    JavaScript 13 2

  2. HaohanWang/Robustar HaohanWang/Robustar Public

    Interactive Toolbox for Robust Vision Classification

    HTML 44 3

  3. neulab/explainaboard_web neulab/explainaboard_web Public

    Mustache 8 2

  4. Multimodal-Categorization-of-Crisis-Events-in-Social-Media Multimodal-Categorization-of-Crisis-Events-in-Social-Media Public

    An unofficial implementation of the CVPR 2020 paper Multimodal Categorization of Crisis Events in Social Media

    Python 12 3

  5. m5-201 m5-201 Public

    An 8-week-long training program for early programmers who want to become full-stack developers and tech leads.

    Shell 10 4

  6. MNIST-synthetic-experiments MNIST-synthetic-experiments Public

    Experiment repo for the core algorithm behind Robustar. We tried to debiase image classifiers through human intervention, data augmentation and paired training.

    Python 1