Projects

Leading projects in AI4Science and ML infrastructure

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AI4Science

MindScience Platform

Lead maintainer of Huawei's flagship AI4Science platform, enabling breakthrough scientific computing across Earth sciences, fluid dynamics, electromagnetics, chemistry, and biology. Features 6 specialized suites (MindEarth, MindFlow, MindElec, MindChemistry, MindSPONGE, SciAI) with 60+ AI models, achieving 1000x performance improvements over traditional methods in weather forecasting and CFD simulations.

Key Features:

  • 6 specialized scientific computing suites
  • 60+ AI models for various domains
  • 1000x performance improvements
MindSporePythonC++CUDA

Specialized Suites:

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MindEarth - Weather Forecasting

Earth sciences suite supporting multi-temporal-spatial-scale meteorological forecasting with 1000x performance improvement over traditional methods.

  • Medium-range weather forecasting
  • Precipitation nowcasting models
MindSporeMeteorological Data
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MindFlow - Computational Fluid Dynamics

CFD solver suite supporting AI fluid simulation driven by physics, data, and data-mechanism fusion with built-in differentiable CFD solver.

  • Physics-informed fluid simulation
  • PHengLei CFD solver integration
CFDPhysics-Informed NNs
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MindSPONGE - Computational Biology

Computational biology toolkit supporting high-performance, modular, end-to-end differentiable, AI-native architecture for molecular simulation and protein folding.

  • Molecular simulation software
  • MEGA-Protein structure prediction
Molecular DynamicsProtein Folding
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ML Infrastructure

ML Infrastructure

LLM Serving Research

Specialized research in large language model serving optimization with expertise in vLLM and vLLM-Ascend systems. Focus on performance optimization, distributed inference, and ML infrastructure for production-scale deployments.

Key Features:

  • vLLM optimization and contributions
  • vLLM-Ascend integration and performance
  • Distributed inference systems
PyTorchvLLMvLLM-AscendCUDA