I'm interested in a deeper understanding of neural nets.
This makes neural net efficient and secure. Topics cover resource efficient (data/computation) deep learning, overseeing CNNs and transformers, leveraging model inversion, knowledge distillation, dynamic inference, neural architecture search, pruning, quantization, model adaptation, etc.
I aim for fast and reliable networks for multi-modality tasks, autonomous driving, large language models, e-commerce, smart healthcare, among others.