“It’s not what we were trying to get at, but I think maybe it should be” learning how to do trauma-informed design with a data donation platform for online dating sexual violence

May 11, 2024·
Wenqi Zheng
,
Emma Walquist
,
Isha Datey
Xiangyu Zhou
Xiangyu Zhou
,
Kelly Berishaj
,
Melissa Mcdonald
,
Michele Parkhill
,
Dongxiao Zhu
,
Douglas Zytko
· 0 min read
Type
Publication
In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
publications
Xiangyu Zhou
Authors
Ph.D. Candidate in Computer Science

I am a Ph.D. candidate in Computer Science at Wayne State University, advised by Prof. Dongxiao Zhu in the Trustworthy AI Lab. My research focuses on trustworthy AI: making AI systems robust and aligned so they can be deployed safely.

I work across large language models (LLMs), large reasoning models (LRMs), and agentic AI, spanning safety alignment, fine-tuning, reinforcement learning, in-context learning, and machine unlearning. My work has been published at venues including NeurIPS, ICLR, CVPR, and AAAI (oral). In industry, I worked on generative retrieval as an AI/ML engineer intern at LinkedIn.

I am always happy to connect with others working on trustworthy AI. Feel free to reach out!