👋 About Me
I am currently a M.S. student at Central South University.
My research focuses on Graph Neural networks, Large Language Model, Data Mining, Graph Fraud detection, specifically the area of Large Language Models including their theoretical foundations and applications. I am looking for the academic internships any time and Ph.D. positions at Fall 2027. If you are interested in me, please feel free to email me at tairanhuang99@gmail.com.
🔥 News
- 2025.11: 🎉🎉 One paper is accepted by AAAI 2026.
- 2025.08: 🎉🎉 One paper is accepted by Information Processsing & Management.
- 2025.07: 🎉🎉 One paper is accepted by ACM MM 2025.
- 2025.07: 🎉🎉 One paper is accepted by ECAI 2025.
- 2025.03: 🎉🎉 One paper is accepted by Neural Networks.
📝 Selected Publications
ROVER: Robust Generative Continual Identity Unlearning against Relearning Attacks
Tairan Huang, Qiang Chen, Beibei Hu, Yunlong Zhao, Hongyan Xu, Zhiyuan Chen, Yi Chen, Xiu Su
- First exploration of robust multi-identity unlearning.
- Novel generative continual identity unlearning framework for unlearning multiple identities.
Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection
Tairan Huang, Yili Wang, Qiutong Li, Changlong He, Jianliang Gao
- First exploration of fraud detection with LLMs in graph.
- Novel multi-level LLM enhanced framework for graph fraud detection.
🎖 Honors and Awards
- 2025.10 National Scholarship, Ministry of Education of China. (Top 1%)
- 2024.10 Excellent Academic Scholarship of the Recommended Student.
📖 Educations
- 2024.09 - 2027.06 (now), Master, Central South University, Changsha, China.
💬 Services
Reviewer:
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- AAAI Conference on Artificial Intelligence (AAAI 2026)