About me

I am a first-year Ph.D. student in the MEMS program at Duke University, under the supervision of Prof. Xiaoyue Ni.

In 2024, I received my master’s degree in the Department of Electronic Engineering at Tsinghua University, where I was advised by Prof. Ji Wu. In 2021, I completed my undergraduate studies in the same department at Tsinghua University.

My research interests include computer vision, machine learning, and medical intelligence.


News


Education

Duke University Logo Duke University

PH.D. in Mechanical Engineering & Materials Science, 2025~Present

Tsinghua University Logo Tsinghua University

M.S. in Electronic Engineering, 2021~2024

Tsinghua University Logo Tsinghua University

B.S. in Electronic Engineering, 2017~2021


Internships

Sensetime

Computer Vision Algorithm Researcher, 2022~2024

TowardPi

Artificial Intelligence Algorithm Engineer, 2021~2024


Awards & Honors

  • Tsinghua Comprehensive Excellent Scholarship, 2023
  • Tsinghua-Xuancheng Scholarship, 2022
  • Champion of APTO Big Data Competition
    (Global competition with 10,000+ participating teams), 2021
  • National Encouragement Scholarship, 2020
  • Tsinghua - Mr. and Mrs. Huang Yicong Scholarship, 2019
  • National Encouragement Scholarship, 2018


Publications & Projects

(ECCV, 2024) GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition

  • Ruijie Yao, Sheng Jin, Lumin Xu, Wang Zeng, Wentao Liu, Chen Qian, Ping Luo, Ji Wu
  • Paper Code Youtube

(ECCV, 2024) UniFS: Universal Few-shot Instance Perception with Point Representations

  • Sheng Jin*, Ruijie Yao*, Lumin Xu, Wentao Liu, Chen Qian, Ji Wu, Ping Luo
  • Paper Code Youtube


(Project) Vertebral Body Detection System for Spinal X-rays

  • Weishi Li, Ji Wu, Nanfang Xu, Shanshan Liu, Chenyi Guo, Ruijie Yao (First Student Inventor)
  • High-accuracy spine detection from cervical to lumbar and sacral angles, applied in hospitals with six patents earned.

Competitions

2021 APTO Big Data Competition

  • Prediction on DME Patients’ Response to Anti-VEGF Treatment
  • Led a team to secure first place among 10,000+ teams globally, winning an $8K prize.