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
- [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
(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.