I am currently enrolled in the School of Data Science and Engineering at East China Normal University, where I am advised by Prof. Xiang Li at PLANING lab. My research interests include data mining, especially graph mining. The research work I have been involved in encompasses heterogeneous graph mining and weakly supervised learning on graphs. Currently I am exploring the integration of Large Language Models (LLMs) with Graph Neural Networks (GNNs).
🎉🎉🎉 Feel free to reach out to me for any academic inquiries!
📝 Publications 
Self-Pro: Self-Prompt and Tuning Framework for Graph Neural Networks,
ChengHua Gong, Xiang Li, Jianxiang Yu, Yao Cheng, Jiaqi Tan, Chengcheng Yu
European Conference on Machine Learning and Data Mining (ECML PKDD 2024)
Jianxiang Yu, Qingqing Ge, Xiang Li, Aoying Zhou
IEEE Transactions on Knowledge and Data Engineering (TKDE 2024)
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples,
Jianxiang Yu, Xiang Li
SIAM International Conference on Data Mining (SDM 2023)
Context-Aware Session-Based Recommendation with Graph Neural Networks,
Zhihui Zhang, Jianxiang Yu, Xiang Li
IEEE International Conference on Knowledge Graph (ICKG 2023)
🎖 Honors and Awards
- 2024.05 Outstanding Graduate, East China Normal University
- 2023.11 Second Prize Enterprise Scholarship, School of Data Science and Engineering, East China Normal University
📖 Educations
- 2024.09 - now Ph.D. candidate, East China Normal University
- 2021.09 - 2024.06 Master, DASE, East China Normal University
- 2017.09 - 2021.06 Undergraduate, Honor College, Hangzhou Dianzi University
💻 Internships
- 2023.07 - 2023.12 Advance Computing and Storage Lab, 2012 Labs, Huawei Technologies, Shanghai, China