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bangyen/README.md

Hey, I’m Bangyen

I build systems that blend AI, distributed computing, and optimization.

Featured Projects

  • ZSharp: Sharpness-Aware Minimization with Z-Score gradient filtering at the paper's $Q_p = 0.95$, up to 4.4× faster on Apple Silicon via MPS.
  • Regulator: detecting algorithmic collusion from prices alone — label-free screens calibrated on competition, with a labeled upper bound of 98% on tacit Q-learning cartels.

Publications

  • Generalized Collective Algorithms for the Exascale Era — CLUSTER 2023
  • Revisiting Computation for Research: Practices and Trends — SC 2024

Quick Links

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  1. esolangs esolangs Public

    Interpreters and Boolean program generators for 68 esoteric languages.

    Python 12 3

  2. coefficient-mass coefficient-mass Public

    Eight papers on extremal polynomial coefficients, with Lean 4 proofs and executable checks.

    Lean

  3. leanbf leanbf Public

    Brainfuck in Lean 4: executable semantics, Turing completeness, and halting undecidability.

    Lean

  4. regulator regulator Public

    A simulation testbed for detecting algorithmic collusion, including tacit Q-learning cartels.

    Python

  5. zsharp zsharp Public

    A paper-faithful ZSharp optimizer implementation with reproducible experiments and Apple Silicon support.

    Python 1

  6. bangyen.github.io bangyen.github.io Public

    Interactive logic games, GF(2) solvers, and research visualizations built with React.

    TypeScript