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

• [2024.07] Two papers accepted to ECCV’2024.
• [2022.02] We won the championship of APTO Big Data Competition.

Education

Duke University

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

Tsinghua University

M.S. in Electronic Engineering, 2021~2024

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.