Zhenchang Xing

SpreadMark's innovative dense pseudo-random codeword embedding makes watermarking significantly more resilient to attacks, outperforming traditional methods in both robustness and imperceptibility.

Brevis compresses tensor data by synthesizing a DSL program, achieving over 30% smaller archives than leading general-purpose compressors while ensuring bit-exact reconstruction.

SymCA achieves a remarkable balance between accuracy and interpretability in column annotation, outperforming traditional methods by over 6% in F1 scores.

Watermarking LLM-agent trajectories just got a major upgrade—TRACE achieves near-perfect detection without sacrificing performance, even under aggressive adversarial conditions.