Hey 👋🏽, I'm cpuimage

AI engineer working on AIGC, inference optimization, and audio/video/image algorithms.
I build real-world AI systems, accelerate models, and share open-source work here on GitHub.

If my projects help you, feel free to buy me a coffee. ☕️

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⚡ What I Do | 我在做什么

• AIGC engineering (Stable Diffusion, FLUX, SDXL, high‑res synthesis)
• Inference optimization (TensorRT, FP16, Flash Attention, async pipelines)
• Audio/video/image algorithms (TTS, matting, OpenGL effects)
• Training stability & numerical optimization
• Multi‑time CTO experience in AI companies

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🧠 Professional Experience | 专业背景

• 👨🏽‍💻 Worked at leading tech companies including
  Baidu, KingSoft, and others.
• 🧩 Multi‑time CTO for AI companies (AIGC, image generation, inference optimization).
• 📱 Developed algorithms for multiple applications:
  • ToolWiz Photos
  • Mypic – AI Make up Master
  • DOUPAI
• 💡 Delivered AI‑based technical customization services and shipped several production‑level AI projects.

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🚀 Research Progress & Achievements | 研究进展与成果

I work across Stable Diffusion, inference acceleration, training stability, and audio/video algorithms.

🔥 Deep Learning (Selected Works)

• A Trimap‑Free Solution for Real‑Time Automatic Portrait Matting on Mobile Devices
• A Robust Optimizer With Accelerated Convergence Capability in Deep Learning
• A General and Adaptive Robust Loss Structure Scheme
• A Robust Loss Weighting Solution For Learning Long‑Tail Data
• Image Synthesis and Semantic Manipulation Using Stable Diffusion Networks
• Stable Diffusion Architecture Optimization And Deployment On Mobile Devices
• A Robust Solution For Accelerated Training Convergence And Learning Long‑Tail Data
• Arbitrary Resolution Super‑Resolution Solution for Real‑World Images
• Accelerate Stable Diffusion FP16 Inference Deployment with TensorRT
• Port Stable Diffusion X4 Upscaler to TensorFlow (FP16 supported)
• Port Stable Diffusion PromptGen (GPT‑2) to TensorFlow + ONNX Inference
• Stable Diffusion Architectural Distillation
• Content‑aware 3‑view Synthesis for Game Art
• Super‑Resolution Solution based on Stable Diffusion
• Video Editing Techniques based on Stable Diffusion
• Port Stable Diffusion XL 1.0 to TensorFlow (FP16 supported)
• A Plug‑And‑Play Algorithm for Asynchronous Inference with Frequency‑Domain Reconstruction
• Stable Diffusion Inference with PyTorch Weights and WebUI‑like Features in Keras 3.x
• FLUX.1 FP16 Inference Deployment + Low‑Memory LoRA Training
• LLM from Scratch with PyTorch
• Enhanced FaceFusion: Decoupled Modules & Optimized Inference
• Ultra High‑Resolution Portrait Retouching
• Training‑Free Universal High‑Resolution Synthesis for Any Video Model
• Chunked Flash Attention in Keras
• Robustness and Speed: An Adaptive, Efficient Optimizer for Stable Training
  • Learning‑Rate‑Free
  • Warmup‑Free
  • Normalization‑Free
  • Corrected Gradient Accumulation
  • Long‑Tailed Gradient Mitigation
  • Accelerated Convergence
  • Memory‑Efficient
• Loss Regularization for Better Generalization
• Dynamic Loss Weighting for Multi‑Task Learning
• Parameter‑Free Weight Regularization
• Adaptive Moving‑Average BatchNorm Stabilization
• Memory‑Efficient LLM Training
• Numerical Stability via Scalable Parallel Compensated Reductions
• MozzyTokenizer: Adaptive Byte‑Level Tokenizer

📊 Statistical Algorithms

• Real‑time MMSE‑STSA speech enhancement (embedded implementation)

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🤝 Collaboration & Contact | 合作与联系

I’m open to collaboration on AIGC, inference optimization, and audio/image algorithms.

Reach me on:

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For paid technical services or consulting:

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