Yaqi Li

Tripling the previous state-of-the-art on full-lifecycle scientific discovery benchmarks, Qiushi Engine satisfies over 82% of end-to-end research rubrics for just $15 per project.

By decoupling detection from explanation, PATE-Forensics achieves unprecedented accuracy in deepfake forensics, setting a new benchmark for explainability in AI.

Decision-level fusion outperforms traditional feature-level methods in detecting audio-visual forgeries, revealing a critical flaw in existing assumptions about modality correspondence.