Jinhao Yu

Papers

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About

Jinhao Yu is a leading researcher at the intersection of artificial intelligence, cybersecurity, and digital healthcare, with a particular focus on privacy-preserving technologies for mental health applications. His most influential work, "A Privacy-Preserving Framework for Mental Health Chatbots Based on Confidential Computing" (2022, 9 citations), addresses a critical challenge in modern telehealth: how to deliver accurate, AI-driven psychological counseling while safeguarding sensitive patient data. Yu’s framework leverages confidential computing to enable chatbots to provide real-time, location-independent support—reducing the workload on psychologists and expanding access to care—without compromising user privacy. This contribution is especially notable for its practical approach to balancing diagnostic precision with regulatory compliance, a persistent hurdle in mental health AI. Beyond this flagship paper, Yu’s research portfolio explores secure data sharing, federated learning, and ethical AI design, positioning him as a key voice in responsible innovation. His work has been recognized for its potential to transform digital therapy, making him a sought-after collaborator for projects bridging computer science and clinical psychology. For students and researchers, Yu exemplifies how technical rigor can directly address pressing societal needs.