Fei Zhu

Hyperspectral unmixing just got a memory-efficient deep learning upgrade, achieving state-of-the-art performance without the backpropagation bloat.

Continual learning methods for Video-LLMs face a fundamental trade-off: mitigating catastrophic forgetting often comes at the cost of generalization or prohibitive computational overhead.