WalkGPT Grounded Vision-Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation
March 11, 2026·,
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0 min read
Rafi Ibn Sultan
Hui Zhu
Xiangyu Zhou
Chengyin Li
Prashant Khanduri
Marco Brocanelli
Dongxiao Zhu
Type
Publication
Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026

Authors
Xiangyu Zhou
(he/him)
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!