Zonghuan Xu

Fudan University, School of Mathematical Sciences. B.S. in Mathematics and Applied Mathematics, Xianghui Plan, expected 2028. Incoming exchange student at the University of Toronto, St. George, Fall 2026.

Contact: 2430XH10002@m.fudan.edu.cn

My research interests are trustworthy AI, deep learning theory, continual learning theory, and embodied AI.

My current work studies forgetting under task distributions, VLA safety, and human-grounded LLM evaluation.

publications

Conference Papers

DropVLA: An Action-Level Backdoor Attack on Vision-Language-Action Models

Xu, Z., Li, J., Zhao, Y., Zheng, X., Ma, X., and Jiang, Y.-G.

Accepted at IROS 2026. arXiv:2510.10932.

Preprints

From Order to Distribution: A Spectral Characterization of Forgetting in Continual Learning

Xu, Z. and Ma, X.

Preprint, 2026. arXiv:2604.13460.

When Direct Prediction Fails: Evidence from LLM-Based Misinformation Risk Evaluation

Xu, Z., Zheng, X., Wu, Y., and Ma, X.

Preprint, 2026. arXiv:2604.06820.

AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models

Li, J., Zhao, Y., Zheng, X., Xu, Z., Li, Y., Ma, X., and Jiang, Y.-G.

Preprint, 2025. arXiv:2511.12149.