\(@^0^@)/ Hello! I am Ran Fengyuan(冉丰源), a third-year undergraduate student at Wuhan University majoring in Cyberspace Security.
🤤I am passionate about scientific research. My research interests lie in multiple areas, including AI Security and Privacy, Temporal Point Process, Federated Learning, Graph Learning, Continual Learning, and Optimal Transport.
💡I am open to discussions and potential collaboration opportunities. If you’re interested in working with me, don’t hesitate to send me an email!
🔥 News
- 2025.05: Three papers on Temporal Point Process, Federated Graph Learning and Continual Learning are submitted to NeurIPS 2025; 🎯🎯
- 2025.01: One paper on VR Security is returned for revision by Ubicomp; 🎯🎯
- 2025.02: One paper on LLM Jailbreak is accepted by USENIX 2025; 🎉🎉
- 2024.10: One paper on Temporal Point Process is accepted by AAAI 2025; 🎉🎉
📝 Researchs
PAPILLON: Effcient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs
Xueluan Gong, Mingzhe Li, Yilin Zhang, Fengyuan Ran, Chen Chen, Yanjiao Chen, Qian Wang, Kwok-Yan Lam
Usenix Security Symposium(USENIX) 2025
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
Qingmei Wang, Yuxin Wu, Yujie Long, Jing Huang, Fengyuan Ran, Bing Su, Hongteng Xu
The Association for the Advance of Artificial Intelligence(AAAI) 2025
MOTION: Multi-Sculpt Evolutionary Coarsening for Federated Continual Graph Learning
Fengyuan Ran（as first author） and some other authors
Under review
TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decoding
Fengyuan Ran（as co-first author） and some other authors
Under review
HT-Auth: Unobtrusive VR Headset Authentication via Subtle Head Tremors
Fengyuan Ran（as second author） and some other authors
Under review
Learning Multivariate Temporal Point Processes with Granger Causal Consistency Regularization
Fengyuan Ran（as third author） and some other authors
Under review