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Achievement: Pull Sharkx2Achievement: Quickdraw

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@cuhkshenzhen

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richardcsuwandi/README.md

Hi there!

I am a PhD student at CUHK-Shenzhen, advised by Prof. Feng Yin and Prof. Tsung-Hui Chang. Prior to my PhD, I obtained my BSc degree in Statistics from CUHK-Shenzhen.

I am a PhD student majoring in Computer and Information Engineering at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), advised by Prof. Feng Yin and Prof. Tsung-Hui Chang. Prior to my PhD, I obtained a BSc in Statistics from CUHK-Shenzhen.

My current research explores:

  • Bayesian optimization for sample-efficient black-box optimization and sequential decision-making
  • Gaussian processes for probabilisitic modeling and uncertainty quantification
  • Foundation models for open-ended algorithm discovery and generative design in science & engineering

During my free time, I also enjoy writing about the latest advancements in AI. If you are interested in collaborating or discussing research ideas, feel free to reach out via email.

Pinned Loading

  1. awesome-bo awesome-bo Public

    A curated repository of awesome Bayesian optimization resources.

    11 3

  2. zap zap Public

    Implementation of the zeroth-order adaptive perturbation (ZAP) algorithm.

    Python

  3. algorithmicsuperintelligence/openevolve algorithmicsuperintelligence/openevolve Public

    Open-source implementation of AlphaEvolve

    Python 5k 775

  4. jennyzzt/awesome-open-ended jennyzzt/awesome-open-ended Public

    Awesome Open-ended AI

    387 38

  5. blsp-group/blsp-group.github.io blsp-group/blsp-group.github.io Public

    HTML

  6. cake cake Public

    [NeurIPS 2025] Context-Aware Kernel Evolution (CAKE)

    Python 15