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Hi there 👋 I am Haoran Zhang.

  • (Aug2023-May2025) I'm a master's student at the Electrical and Computer Engineering Department, Carnegie Mellon University.
  • (Jun2023) I earned my bachelor's degree in Automation from Huazhong University of Science and Technology (HUST), China.
  • (Feb2022-Nov2023) I worked with Prof. Hao Chen at the Hong Kong University of Science and Technology. 1 first-author paper published at ISBI 2023.
  • (Apr2023-Jul2023) I exchanged at the Technical University of Munich and worked with Dr. Zhongliang Jiang on a project about 4D artery reconstruction from ultrasound videos. I also traveled to Paris, Zurich, Matterhorn, Vienna, Salzburg, Budapest... during this exchange!
  • Fun fact: My hometown is Xinxiang, Henan. In Chinese, "Xin" means "New", and "Xiang" means "York" 😄

Haoran Zhang's Projects

crn-engine icon crn-engine

Tools for programming chemical reaction networks (CRN), DNA strand-displacement circuits (DSD) and genetically engineered circuits (GEC).

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

pv_pipeline icon pv_pipeline

PyTorch models and pipeline developed for "DeepSolar for Germany". For reference, the paper can found at https://ieeexplore.ieee.org/document/9203258

swin-unet icon swin-unet

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

transformertrack-colab_version icon transformertrack-colab_version

Based on TransformerTrack. The latest Pytorch no longer supports the original code provided by the authors. I modified their code to make it feasible on Colab and Pytorch 2.0.

transunet icon transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

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