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jiahaozheng406/README.md

🌌 I'm Jiahao Zheng · aka "++"

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About Me - "The Incremental Optimist"

AI Robot

🎓 Academic Identity

Undergraduate Researcher at Nanjing University of Posts and Telecommunications (NJUPT)
📍 Majoring in Internet of Things Engineering

🚀 Research Philosophy

I am an AI researcher trying to connect 3D visual understanding, physical-world signals, and interactive generation. My work currently focuses on:

  • 🧊 3D Reconstruction & 3DGS - Building stable 3D representations from sparse and imperfect observations
  • ⚛️ AI for Quantum Sensing - Learning from noisy physical signals with physics-guided modeling
  • 🤖 Robot Vision with Hardware Systems - Connecting perception, deployment, embedded hardware, and action
  • 📐 CAD / 3D Content Generation - Exploring structured 3D assets, editable geometry, and design-oriented generation
  • 🌐 World-model-oriented Thinking - Moving from "seeing the scene" toward predicting, editing, and interacting with it

🎯 Fun Fact: Call me "++"!

💡 It's a clever pun on my Chinese name:

  • 🔤 Jiahao sounds like "Plus Sign" (加号)
  • ➕ Zheng means "Positive" (正)

So mathematically, I am literally ++ 😄
Like the increment operator - always improving, always growing!


🔬 Research Focus & Expertise

🧊 3D Reconstruction & 3DGS

Current focus:

  • Sparse-view 3D Gaussian Splatting
  • Geometry-aware regularization
  • Depth priors & foreground masks
  • Multi-view consistency under imperfect observations

Why I care:
Good 3D should be more than pretty rendering.
It should support understanding, editing, simulation, and downstream tasks.

⚛️ AI for Quantum Sensing

Current focus:

  • Diamond NV-center sensing
  • Low-SNR signal reconstruction
  • Physics-guided loss design
  • Robust thermometry and cross-sample generalization

Why I care:
Noisy physical signals are annoying,
but they are excellent teachers of robustness.

🤖 Robot Vision + Hardware

Current focus:

  • Real-time perception
  • Vision-guided robotic systems
  • Embedded deployment and hardware-aware AI
  • Perception–decision–action loops

Why I care:
A vision model should not only recognize things.
Sometimes it should help a robot actually do things.

📐 CAD / 3D Generation

Current focus:

  • CAD-like structured generation
  • 3D assets and editable geometry
  • AI-assisted design and reconstruction
  • From visual content to usable 3D representations

Why I care:
The fun part is not just generating pixels,
but building worlds that can be edited, simulated, and reused.

🧭 Future Research Interests

I am actively expanding my research horizons into the following frontier areas:

🌟 Domain 🎯 Specific Interests 🧪 What I want to explore
⚛️ Quantum Computing × AI Quantum machine learning, quantum algorithms, AI4Quantum New computing paradigms for optimization, simulation, and scientific AI
🧠 Multimodal Foundation Models Vision-language models, 3D-aware MLLMs, spatial reasoning Giving models stronger eyes, better grounding, and fewer hallucinated castles
🌐 World Models 3D world generation, interaction prediction, Real2Sim / Sim2Real loops From seeing the world to simulating, editing, predicting, and acting in it
📐 CAD / Generative Design CAD generation, AI4Graphics, editable 3D assets Turning sketches, text, images, or messy ideas into structured 3D objects

🛠️ Tech Stack

🤖 AI & Deep Learning Frameworks

Python PyTorch TensorFlow JAX Transformers

scikit-learn Pandas NumPy OpenCV

🦾 Robotics & Embodied AI

ROS OpenAI Gym MuJoCo

💻 Development & Research Tools

PyCharm VS Code Jupyter Colab

Git Docker Linux

🔬 Scientific Computing

MATLAB Origin LaTeX

🎨 Productivity & Documentation

Typora Notion PowerPoint Figma

🎮 Mobile & Others

DevEco Studio Anaconda

🚀 Featured Projects

My engineering practice spans 3D reconstruction, AI4Quantum, robot vision with hardware, and CAD / 3D generation. I enjoy turning loose ideas into runnable systems, visible demos, and occasionally surprisingly stubborn bugs.


🐍 GitHub Contribution Snake

github contribution grid snake animation Motivation

⚡ Interests & Idols

🏃‍♂️ The Runner's Mindset

Running GIF

I am an avid marathon runner, believing that the endurance required on the track mirrors the persistence needed in scientific research.

"Every kilometer on the track is a metaphor for every epoch in training neural networks."

What Running Teaches Me:

  • Patience - Models converge slowly, just like endurance builds gradually
  • Resilience - Hitting the wall at km 30 ≈ NaN loss at epoch 87
  • Optimization - Finding the right pace ≈ Finding the right learning rate

🌟 My Idols - Champions of Dedication

My idols, LeBron James and Kylian Mbappé, have profoundly shaped my understanding of dedication and peak performance.

LeBron James

LeBron James

The NBA's all-time leading scorer and a defining figure of athletic longevity and leadership.

Kylian Mbappé

Kylian Mbappé

FIFA World Cup winner and one of the most explosive and talented forwards in modern football.

💭 Random Dev Quote


⭐️ From jiahaozheng406 · "++" · The Incremental Optimist

"Coding for AI, Coding for Science. Exploring the Physics of Intelligence." 🌌

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