Jing-Lin Zhang

A generalized Medical Imaging Disentanglement Learning framework that outperforms state-of-the-art supervised and self-supervised classification methods in accuracy across all datasets and successfully isolates target-specific latent representations.

Physics-constraints generative AI can revolutionize tropical cyclone forecasting by dramatically reducing uncertainty and computational demands.

Forget retraining: model editing and constrained decoding can keep service recommendations fresh and valid in ever-changing software ecosystems.