Zhikai Li

I hold a Master's degree in Security Informatics from Johns Hopkins University and a Bachelor's degree in Computer Science and Technology from Shanghai University. My expertise lies in deep learning, computer vision, signal processing, and medical imaging, with my research published in prominent conferences and journals. I have contributed to projects at Johns Hopkins University's I-STAR Lab, and worked at Deep Leopard Intelligence Inc., and Qianxun SI, Alibaba Group , focusing on neurosurgical guidance, medical image segmentation, object detection, and autonomous driving systems. My skills include Python, C++, PyTorch, and TensorRT.


profile photo

Cooperation opportunities: I'm interested in building a collaborative network where we can share insights, tackle research challenges, and contribute to advancements together. If you're curious about diving deeper into Computer Vision and Medical Imaging and would like to discuss potential collaborative projects, I'd be thrilled to connect and explore how we can support each other's academic and research endeavors.

Recent News
  • [NEW] Our Paper "RTA-Former: Reverse Transformer Attention for Polyp Segmentation" has been accepted by EMBC 2024.

Main Collaborators
  • Murong Yi (Current Ph.D. Student, University of Illinois Urbana-Champaign)
  • Yujun Zhou (Current MS student, University of Illinois Urbana-Champaign)
  • Sihan Niu (MS of 2023, Johns Hopkins University)
  • Craig Jones (Faculty, Johns Hopkins University)
  • Ali Uneri (Faculty, Johns Hopkins University)



RTA-Former: Reverse Transformer Attention for Polyp Segmentation
Zhikai Li, Murong Yi, Ali Uneri, Sihan Niu, and Craig Jones
arxiv, 2024

An Improved Grey Wolf Optimization Algorithm for Heart Disease Prediction
Sihan Niu, Yifan Zhou, Zhikai Li, Shuyao Huang, Yujun Zhou
arxiv, 2024

Visitor Map

Forked from Jon Barron