I am currently a third-year master student majoring in computer science and technology at the School of Artificial Intelligence, Jilin University (985, 211, Double 1st-Class), supervised by Prof. Xiaofeng Cao. My research interests lie in the fields of graph data mining and non-Euclidean deep learning.
I am actively looking for 2025 fall Phd position, I would greatly appreciate any relevant information you might be able to share.
News
- [2024.11] Give a talk at MLA'2024.
- [2024.11] Awarded the National Scholarship for Graduate Students.
- [2024.09] One paper accepted to NeurIPS'2024.
Research Outputs
- Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo
NeurIPS'2024, Vancouver - A paper on cross-geometric dynamic link prediction.
Yadong Sun, Xiaofeng Cao, Yi Chang
(under a double-blind review)
Project Experiences
College Student Innovation and Entrepreneurship Assistant APP
Developed an mobile app using Android Studio to assist college students in participating in innovation and entrepreneurship activities. The app includes features such as information browsing, community posting and interaction, and expert search. Visualization implemented using echarts. The server environment uses Linux+Apache+MySQL+PHP.Open-Source Project NCNN Practice of Tencent
Implement logsoftmax and logsigmoid operators, and develop a mathematical function library without dependencies.
Mentor: Ni Hui, Research Expert at YouTu Lab, Tencent
Awards
π National Scholarship for Graduate Students
π National Encouragement Scholarship
π Outstanding Graduate of Shanghai
π Graduate Scholarship of Jilin University
π Jilin University Graduate Scholarship (First Class)
π Excellent Graduate Student of Jilin University
π Shanghai Scholarship
π Xiaomi Scholarship
π SITC Scholarship
π
Datang Cup Shanghai City First Prize
Service
π ECML'2024, Vilnius, Reviewer
π¨βπ« 2021/2022 semester 2, Pattern Recognition and Machine Learning, TA
π¨βπ« 2022/2023 semester 2, Pattern Recognition and Machine Learning, TA