MindCare v6.0
MindCare is an intelligent diagnosis system specifically focused on the mental health of teenagers. It integrates virtual reality and cloud technology to establish a local-cloud collaborative architecture. The front end conducts psychological assessments and collects multi-modal data from users. The “Lingyun Zhimedu” multi-modal large model developed by the cloud analyzes the data and generates personalized diagnosis reports, assisting experts during the diagnosis process. It also takes into account scientificity and privacy protection, and is applicable in educational and medical scenarios.
Authors
Junhao Wu
(he/him)
I am an undergraduate CS student at Dalian University of Technology. My research interests focus on Vision-Language-Action (VLA) and robot manipulation, with an emphasis on robustness and self-supervised learning under distribution shifts. I led work on improving zero-shot generalization for VLA models and contributed to Open-Vocabulary Pedestrian Attribute Recognition; both are currently under submission to ICML 2026. I also led the development of MindCare, a multimodal mental-health assessment system, and worked on robust multimodal forgery detection during an algorithm internship. I aim to develop reproducible, scalable methods that improve the reliability and generalization of VLA models in real-world settings.