Chen Tang

Diffusion models unlock all-atom molecular reconstruction from compact, residue-level protein tokens, overcoming the long-standing granularity-fidelity dilemma.

A fixed-size latent memory, explicitly optimized for robotic control via question-answering and DINO feature reconstruction, unlocks state-of-the-art long-horizon manipulation performance.

A lightweight single-probe audit is designed that applies a controlled lengthening intervention under PTIA, and achieves an average detection rate of 85.1% with false-positive rates below 2%.

DAPD eliminates privilege illusion in self-distillation, leading to consistent performance improvements across model scales.

SciReasoner achieves a remarkable 31% improvement in Cellular Component annotation for low-homology proteins, showcasing the power of structural reasoning in AI.