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pixelhero98/README.md

Zinuo (Henry) You

Generative systems researcher working on video and world models, efficient generative inference, and continuous-time learning.

I am a Computer Science PhD candidate at the University of Bristol, leading modelling research and implementation across UKRI-funded projects. My work connects mathematical formulation, large-scale evaluation, and release-quality research software.

Selected work

  • GenODE / GICO — context-conditioned integration clocks for frozen generative ODE and flow-matching backbones.
  • Latent Laplace Diffusion — parallel generative forecasting over irregular timestamps; ICML 2026 Spotlight.
  • Diffusion-to-Flow Schedule Transfer — controlled transfer and evaluation of diffusion schedules in normalized flow time.
  • AuditOps — public foundations for canonical evidence, deterministic validation, and restricted-domain audit benchmarks.

Portfolio · Google Scholar · Email

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  1. LLapDiffusionLLapDiffusionPublic

    ICML 2026 Spotlight: latent diffusion for irregular multivariate forecasting and imputation.

    Python 7

  2. C3EC3EPublic

    Channel-capacity-constrained width and depth estimation for graph neural networks.

    Python 1

  3. Diffusion-Flow-InferenceDiffusion-Flow-InferencePublic

    Transfer and evaluate fixed diffusion schedules in normalized flow time.

    Python 1

  4. GenODE-InferenceGenODE-InferencePublic

    Context-conditioned integration-clock optimization for frozen flow-matching and generative ODE backbones.

    Python 2

  5. AuditOpsAuditOpsPublic

    Evidence-first foundations for canonical filings, deterministic validation, and restricted-domain audit benchmarks.

    Python 1

  6. LoBiFlowsLoBiFlowsPublic

    History-conditioned flow matching for level-2 limit-order-book generation.

    Python 1