Hi, I’m Hengyuan!
Hi! I’m Hengyuan Xu, and this site is a documentation of myself. Contact me by email:
doby-xu@outlook.com
News: WithAnyone is now released! WithAnyone is capable of generating high-quality, controllable, and ID consistent images. Demo is out, try it now!
About Me
I am a Master’s student in FVL at the School of Computer Science, Fudan University, advised by Xingjun Ma. I received my bachelor degree from SEIEE in Shanghai Jiao Tong University and I was a research intern at John Hopcroft Center for Computer Science, advised by Liyao Xiang. Here is my sincere gratitude to my mentors and collaborators. Currently I am interning at StepFun, exploring possibilities in the field of ID-consistency generation.
I am still exploring potential research directions I am interested in. My previous research explores the mathematical properties of Transformers and their potential applications in privacy-preserving deep learning and model intellectual property protections. Recently, I have been focusing on generative AI and its applications.
Publications
- Hengyuan Xu, Wei Cheng, Peng Xing, Yixiao Fang, Shuhan Wu, Rui Wang, Xianfang Zeng, Daxin Jiang, Gang Yu, Xingjun Ma, Yu-Gang Jiang. “WithAnyone: Towards Controllable and ID Consistent Image Generation” arXiv preprint arXiv:2510.14975
-
Hengyuan Xu, Liyao Xiang, Xingjun Ma, Borui Yang, Baochun Li. “Hufu: A Modality-Agnostic Watermarking System for Pre-Trained Transformers via Permutation Equivariance” arXiv preprint arXiv:2403.05842
-
Hengyuan Xu, Liyao Xiang, Hangyu Ye, Dixi Yao, Pengzhi Chu, Baochun Li. “Permutation Equivariance of Transformers and Its Applications” in Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR)
-
Dixi Yao, Liyao Xiang, Hengyuan Xu, Hangyu Ye, Yingqi Chen. “Privacy-Preserving Split Learning via Patch Shuffling over Transformers” in Proceedings of the 22nd IEEE International Conference on Data Mining (ICDM)

