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layout: about title: About permalink: / subtitle: AI PhD Candidate at CUHK-Shenzhen, Co-founder of AIDDA Institute

profile: align: right image: profile_headshot.jpg image_circular: false # crops the image to make it circular more_info:

news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page — I’m a fully-funded PhD candidate at School of Artificial Intelligence, CUHK-Shenzhen, advised by Prof. Feng Yin and Prof. Tsung-Hui Chang. Prior to my PhD, I obtained my BSc degree in Statistics (with first-class honors) from CUHK-Shenzhen.

Things I built and currently working on:

  • Adaptive intelligence for learning, optimization, and discovery
  • PlugBO, a modular framework that lets an agent adapt the optimization configuration on the fly
  • OpenEvolve, an evolutionary coding agent for discovering and optimizing algorithms
  • EvolveBench, a benchmark and execution harness for evaluating AI-driven research and optimization systems on real GitHub repositories
  • Kai, an autonomous AI engineer for codebase security and optimization
  • Awesome Bayesian Optimization, a curated repo of Bayesian optimization resources

Some other things worth mentioning:


prof_pic.jpg

555 your office number

123 your address street

Your City, State 12345


layout: about title: About permalink: / subtitle: AI PhD Candidate at CUHK-Shenzhen, Co-founder of AIDDA Institute

profile: align: right image: profile_headshot.jpg image_circular: false # crops the image to make it circular more_info:

news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page — I’m a fully-funded PhD candidate at School of Artificial Intelligence, CUHK-Shenzhen, advised by Prof. Feng Yin and Prof. Tsung-Hui Chang. Prior to my PhD, I obtained my BSc degree in Statistics (with first-class honors) from CUHK-Shenzhen.

Things I built and currently working on:

  • Adaptive intelligence for learning, optimization, and discovery
  • PlugBO, a modular framework that lets an agent adapt the optimization configuration on the fly
  • OpenEvolve, an evolutionary coding agent for discovering and optimizing algorithms
  • EvolveBench, a benchmark and execution harness for evaluating AI-driven research and optimization systems on real GitHub repositories
  • Kai, an autonomous AI engineer for codebase security and optimization
  • Awesome Bayesian Optimization, a curated repo of Bayesian optimization resources

Some other things worth mentioning: