CV

Education

• Peking University
  • B.S. in Computer Science and Technology, Overall GPA: 3.80/4 Rank: 11/247 (Top 5%)
  • Beijing, China, 09/2016-07/2020

Work experience

• 01/2020-Present: SWE Intern, Apple R&D (Beijing) Limited
  • Supervisor: Yuanzhi and Kevin
  • Everything becomes confidential :-)
• 03/2019-10/2019: Research Assistant, Carnegie Mellon University
  • Supervisor: Professor Min Xu
  • Constructed an adversarial data set as a more robust evaluation of biomedical saliency detection
  • Designed the pipeline for biomedical salient segmentation based on pre-training and attentional backpropagation
  • Adapted a model to abstract macromolecular complexes in high SNR images into volumetric primitive assemblies
• 01/2019-12/2019: Research Intern, Megvii Technology Ltd. (Face++)
  • Supervisor: Director Xiao Liu
  • Developed a deep learning network to be implemented on a robot to generate disparity images based on both binocular stereo footage and single-line Lidar observation
    • Improved the efficiency and light-weightness of the present stereo model
    • Designed an attentional anisotropic diffusion module to fuse sparse lidar input with visual data
    • Assisted the model with a classical method to sharpen boundaries predicted
• 11/2019-Present: Research Assistant, Peking University
  • Supervisor: Professor Kaigui Bian
  • Undergrad thesis on fast image completion for 360◦ images

Skills

• Programming
  • Python
  • C/C++
  • Java
  • Matlab
• Frameworks and Tools
  • Linux (Ubuntu)
  • Tensorflow, PyTorch, Keras
  • Git
• English
  • TOEFL: 111 (S27)

Publications

Is Deep Learning All You Need for Unsupervised Saliency Detection?

PUB-SalNet: A Pre-trained Unsupervised Self-Aware Backpropagation Network for Biomedical Salient Segmentation

Honors and Awards

• Academic Excellence Honor, Peking University, 09/2019 09/2018 09/2017
• Guanghua Scholarship (Top 7%), Peking University, 09/2017
• Lee Wai Wing Scholarship, Peking University (Top 7%), 09/2018
• The 3rd Prize of Peking University Scholarship (Top 10%), Peking University, 09/2019

Teaching

Teaching Assistant of “Introduction to Computer Systems”

Undergraduate course, Peking University, Fall 2018 & 2019

ICS, the short for “Introduction to Computer System”, is a difficult course at Peking University because it is taught in half the time compared with its counterpart, CMU 15-213. As a TA, my responsibility is to run a weekly seminar, sharing my understanding and faith in learning with the students. Owing to my excellent performance, I was invited once again to become a TA this year to redesign problems in the Architecture Lab and to collect error information for improvement.