I am currently a first year PhD Student at the School of Data Science and Engineering, East China Normal University, under the supervision of Prof. Weining Qian and Prof. Xiang Li in the PLANING (graPh mining and LANguage processING) lab.
My research interests include:
- Reinforcement Learning: applications in graph representation learning, Retrieval-Augmented Generation (RAG);
- Graph Neural Networks: graph prompt tuning, graph active learning, graph self-supervised learning;
- Large Language Models: applications in graph RAG, toxicity detection.
★★★ Feel free to reach out to me for academic discussions and collaborations!
🔥 News
- 2024.12 🎉🎉 New homepage!
- 2024.11 🥂🥂 Our paper RELIEF is accepted by KDD 2025! See you in Toronto!
📝 Publications 
-
KDD 2025RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning,
Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi Tan, Xiang Li. -
CIKM 2024GraphCBAL: Class-Balanced Active Learning for Graph Neural Networks via Reinforcement Learning,
ChengCheng Yu, Jiapeng Zhu, Xiang Li.
More preprints under review will be released soon, and some papers can be found on Google Scholar. 📚✨🔍
🎖 Honors and Awards
- 2022-2025 Graduate Academic Scholarship, East China Normal University
- 2022.06 Outstanding Graduate, East China University of Science and Technology
- 2018-2022 Academic Excellence Scholarship, East China University of Science and Technology
📖 Educations
- 2022.09 - now, PhD, Data Science and Engineering, East China Normal University (via postgraduate recommendation)
- 2018.09 - 2022.06, Undergraduate, School of Information Science and Engineering, East China University of Science and Technology
