4 papers
HyperPriv-EPN: Hypergraph Learning with Privileged Knowledge for Ependymoma Prognosis
Shuren Gabriel Yu, Sikang Ren, Yongji Tian
Preoperative prognosis of Ependymoma is critical for treatment planning but challenging due to the lack of semantic insights in MRI compared to post-operative surgical reports. Exi…
LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models
Shu Yu, Chaochao Lu
Diffusion models (DMs) have achieved remarkable success in image and video generation. However, they still struggle with (1) physical alignment and (2) out-of-distribution (OOD) in…
Dynamic User-controllable Privacy-preserving Few-shot Sensing Framework
Ajesh Koyatan Chathoth, Shuhao Yu, Stephen Lee
User-controllable privacy is important in modern sensing systems, as privacy preferences can vary significantly from person to person and may evolve over time. This is especially r…
Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks
Sirui Chen, Shuqin Ma, Shu Yu +3
Consciousness stands as one of the most profound and distinguishing features of the human mind, fundamentally shaping our understanding of existence and agency. As large language m…