Publications
My research focuses on advancing the capabilities and security of Large Language Models (LLMs), with particular emphasis on code understanding, robustness against adversarial attacks, system integration, and educational applications. Current research directions include LLM-based code generation, attack/defense mechanisms for LLMs, development of reliable LLM-powered systems, and AI-enhanced educational technology.
Ravishka Rathnasuriya, Zexin Xu, Tingxi Li, Zihe Song, Mirazul Haque, Simin Chen, Wei Yang
USENIX Security '25
Zexin Xu, Tingxi Li, Ravishka Shemal Rathnasuriya, Zihe Song, Jun Ren, Bhavesh Mandalapu, Soroush Setayeshpour, Xinya Du, Wei Yang
Amazon Nova AI Challenge Proceedings
Ziming Luo, Zonglin Yang, Zexin Xu, Wei Yang, Xinya Du
arXiv preprint
Dezhi Ran, Mengzhou Wu, Hao Yu, Yuetong Li, Jun Ren, Yuan Cao, Xia Zeng, Haochuan Lu, Zexin Xu, Mengqian Xu, Ting Su, Liangchao Yao, Ting Xiong, Wei Yang, Yuetang Deng, Assaf Marron, David Harel, Tao Xie
arXiv preprint
Chan Hee Song, Jiaman Wu, Ju-Seung Byun, Zexin Xu, Vardaan Pahuja, Goonmeet Bajaj, Samuel Stevens, Ziru Chen, Yu Su
Alexa Prize SimBot Challenge Proceedings
Chan Hee Song, Jiaman Wu, Ju-Seung Byun, Zexin Xu, Vardaan Pahuja, Goonmeet Bajaj, Samuel Stevens, Ziru Chen, Yu Su
Embodied AI Workshop at CVPR
Zilu Jiang, Zexin Xu, Zilong Pan, Jingwen He, Kui Xie
Languages
Jingwen He, Bihui Jin, Zexin Xu, Danhui Zhang
Journal of Online Learning Research