Xie, Cihang

Feature denoising for improving adversarial robustness

Xie, C., Wu, Y., Maaten, L. V. D., Yuille, A. L., & He, K. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 940

SimpleMem: Efficient Lifelong Memory for LLM Agents

Liu, J., Su, Y., Xia, P., Han, S., Zheng, Z., Xie, C., Ding, M., & Yao, H. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Xia, P., Chen, J., Wang, H., Liu, J., Zeng, K., Wang, Y., Han, S., Zhou, Y., Zhao, X., Chen, H., et al. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

STAR-1: Safer Alignment of Reasoning LLMs with 1K Data

Wang, Z., Tu, H., Wang, Y., Wu, J., Liu, Y., Mei, J., Bartoldson, B. R., Kailkhura, B., & Xie, C. (2025) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 0

Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails

Han, S., Xiong, K., Liu, J., Ye, X., Su, Y., Duan, W., Liu, X., Xie, C., Bansal, M., Ding, M., et al. (2025) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 0