Zhen Yu

ByteAction achieves state-of-the-art robustness against bitstream corruption while maintaining competitive performance on intact data, revolutionizing action recognition in privacy-sensitive environments.

Medical tabular data representation can be revolutionized by a framework that prioritizes feature importance and stabilizes ordinal relationships, setting a new state-of-the-art in multimodal pre-training.