Kazi Hasan Ibn Arif
Kazi Hasan Ibn Arif is a Ph.D. student in the Department of Computer Science. His advisor is Bo Ji.
His research focus is to optimize the training and inference efficiency of multimodal large language models through optimization techniques such as token dropping, early exits, layer skipping, sparsity, and quantization.