posted Oct 11, 2018, 1:33 PM by Hwanjo Yu   [ updated Oct 11, 2018, 2:08 PM ]

His paper, "k-평균 알고리즘을 통한 행렬 원소 양자화를 이용한 행렬 분해 기법 모델 크기 압축", won the best paper award at KDBC 2017. This paper proposes a novel method for compressing the matrix factorization model, and his method is currently the most effective method for compressing the matrix factorization model.