Yi Sun

RL-trained multimodal models can leak sensitive information through reasoning traces, but LEMUR offers a training-free solution that effectively sanitizes this leakage without sacrificing output quality.

EchoFlow achieves superior performance optimization in blockchain systems by dynamically tuning parameters based on workload characteristics, outperforming traditional methods.

Trustworthy federated learning for vehicular networks is now possible, combining efficiency with privacy through innovative scheduling and verification techniques.

Multi-head attention and residual connections can significantly boost the accuracy of object counting in clustered environments, enabling more reliable bacterial colony analysis.

Turns out, the best colony counter struggles not because of the model, but because all those colonies look too darn similar.