Education

• B.S. in Mechanical Engineer, Beihang University, 2015-2019
• M.S. in Computer Science, Northeastern University, 2023-2025(expect)

Work experience

• May 2021 - Dec. 2022: Computer Vision Algorithm Engineer
  • ZMO.AI Inc, Shenzhen, China
  • Supervisors: Prof. Ziwei Liu and Dr. Liqian Ma
  • Developed and built an automatic virtual clothing try-on system using Generative Adversarial Network (GAN) and MLS (Moving Least Square)-based image deformation algorithm;
  • Studied and optimized the performance of human pose transfer algorithm and improved the existing algorithm.
• July 2020 - May 2021: Computer Vision Algorithm Intern
  • DiDi Global Inc, Beijing, China
  • Supervisiors: Prof Sicheng Zhao and Dr. Pengfei Xu
  • Evaluated and optimized the effect of image segmentation algorithm in lane line segmentation.
  • Developed an image reflection detection and de-reflection algorithm for image quality evaluation using the respective strengths of GAN and LSTM.
  • Studied algorithms related to contrastive learning and semi-supervised learning, designed a pipeline that combined the EM algorithm with semi-supervised learning to improve the performance of existing semi-supervised learning algorithms in actual classification.
• Dec. 2019 - July 2020: Computer Vision Algorithm Intern
  • 4paradigm, Beijing, China
  • Built a segmentation code base using the reproduced cutting-edge algorithms, performed algorithm iteration simultaneously on multiple public datasets.
  • The reproduced algorithms achieved 41.05% and 57.7% MIoU on COCO-Stuff and PASCAL-Context.
  • Developed a product interface capable of automatic training and inference of models.
• June 2019 - Sept. 2019: Image Processing Algorithm Intern
  • Haier Uhome, Beijing, China
  • Independently developed a same-source image retrieval algorithm based on existing image feature extraction and deeplearning technologies, winning 3rd place (Same-Source Image Retrieval Category) in China Artificial Intelligence Competition.
  • Conducted iterative development of a multi-attribute face recognition algorithm for smart homes through multi-task learning.
• Sept. 2018 - Dec. 2018: Deep Learning Algorithm Intern
  • ZhenRobotics, Beijing, China
  • Embedded a monocular camera-based target detection algorithm in ROS.
  • Developed an obstacle avoidance and bypass algorithm for robots against different categories of obstacles based on the category and location information of objects detected respectively by the monocular camera and LiDAR.

Skills

• Programming Languages: Python, Java, C++, MATLAB, R, Typescript/Javascript
• ML Framework: PyTorch, Tensorflow
• Backend: SQL, Redis
• Frontend: HTML, CSS
• Tools: Linux shell, Docker, Git

Academic experience

• Fall 2018: Research Member
  • Medical Robotics Laboratory, Beihang University, Beijing, China
  • Supervisor: Prof. Junchen Wang
  • Studied depth estimation to facilitate the work of doctors who used the Da Vinci Surgical System to perform minimally invasive surgery.