• Named Entity Recognition

• Ph.D. University of Illinois at Urbana-Champaign, Theoretical Physics
• B.S. Beijing Normal University, Physics

Amazon Inc.

• Special Projects

Clarifai Inc.

• Computer Vision
  • Detection and tracking
  • Image embedding
  • Fine-grained classification
  • Semantic segmentation
• Natural Languange Processing
  • Token classification
  • Named Entity Recognition (NER)
• DevOps
  • Docker
  • K8s and Kubeflow
  • CI/CD

Insight Data Science

• Satellite image processing
• Partial convolution inpainting model
• Repo and project page

University of Illinois at Urbana-Champaign

• Heat Kernel
  • Exact solution of heat equation in a high-dimensional sphere
  • Applied to SVM document classification
  • Publication and additional proof
• Data Transformation
  • Effective Dissimilarity Transformation
  • Applied to cell line clustering
  • Publication
• Spectral Clustering
  • Reinterpreted spectral clustering through the lens of quantum tunneling
  • Publication

• TorchLiter

  • Customizable and light-weight neural network training toolbox
  • Built on PyTorch
  • Pronounced "Torch Lighter"

• MNIST-Detection

  • Randomly scattered MNIST digits for quick detector experimentation
  • You can also use FashionMNIST or alike

• MasonJar

  • Repo-free experiment containerization
  • Build, test, and push Docker images all in Python
  • Reuse experiement images through Python class inheritance

• Mario

  • Kubeflow is very much like Tensorflow (of course they share the last name)
  • Mario is the Kera or PyTorch of Kubeflow
  • Users can intuitively build pipelines without lengthy and confusing API bureaucracy

• Groot

  • Manage and visualize hierarchical concepts in style
  • Serialize trees in compact yaml files
  • Organize concepts by level and represent concepts by atomic concepts

• Varius

  • Perform calculations in various hypothetical scenarios with ease
  • Symbolic manipulations based on Sympy
  • Great tool for case study or back-of-envelope calculations
  • Almost pure Python, highly portable, even on mobile devices, calculation on the go

• Machine Learning Blog

  • Machine Learning Demystified
  • My scattered thoughts on ML

Theoretical Physics | Mathematics | Probability | Statistical Learning

PyTorch | Distributed Training | TorchScript

Fine-Grained Classification | Detection | Tracking | ReID | Segmentation

Token Classification | Named Entity Recognition | Transformers

Nvidia Triton | Apple CoreML | Google Protobuf

Docker | Kubeflow | Kubernetes | CI | CD