About Me
Hi! I am Shiyuan Li (李世源), a master’s student in computer science at Guangxi University, advised by Prof. Qingfeng Chen. My research interests mainly focus on the areas of artificial intelligence and data mining, particularly in graph representation learning and graph foundation model. Previously, I received my bachelor degree of information and computing science from Changsha University.
News
- 2024/09: Our paper on generalist graph anomaly detection with in-context learning has been accepted by NeurIPS 2024.
- 2024/07: Our paper on graph representation learning has been accepted by CIKM 2024.
- 2024/03: Our paper on non-coding RNA-disease association prediction has been accepted by Knowledge-based Systems.
Selected Papers (first-author/co-first-author)
- ARC: A Generalist Graph Anomaly Detector with in-Context Learning
- Yixin Liu*, Shiyuan Li*, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
- Advances in Neural Information Processing Systems (NeurIPS), 2024
- [Paper] [Code]
- Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
- Shiyuan Li*, Yixin Liu*, Qingfeng Chen, Geoffrey I Webb, Shirui Pan
- ACM International Conference on Information & Knowledge Management (CIKM), 2024
- [Paper] [Code]
- Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only
- Shiyuan Li, Qingfeng Chen, Zhixian Liu, Shirui Pan, Shichao Zhang
- Knowledge-based Systems (KBS), 2024
- [Paper] [Code]
Awards
- National Scholarship (only 1% for postgraduate students), 2024
- Outstanding Graduate in Hunan (only 4%), 2022
- National Scholarship (only 0.2% for undergraduate students), 2021
Contact
- Email: shiy[dot]li[at]alu[dot]gxu[dot]edu[dot]cn