Zhi-Cheng Du

A progressive four-stage framework that addresses three clinically critical gaps in TCM prescription generation and substantially improves prescription quality over zero-shot baselines is proposed, with a 7B model (Mistral-7B) surpassing zero-shot GPT-5 on all three TCM evaluation metrics.

A Unification Framework for Multimodal Data (UFMD) is introduced, which automatically processes tongue and pulse images into structured, clinically standard descriptions, integrating multi-source diagnostic information into a unified digital record of I-AOI-P process.

Token recovery in continuous language diffusion models hinges on navigating a high-margin basin, revealing hidden failures in traditional evaluation metrics.

Time-aware diffusion in generative recommendation can boost performance by over 29%, revealing the critical role of temporal dynamics in user preferences.