2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.SD2019★ 2 cited
Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features
Cunhang Fan, Bin Liu, Jianhua Tao +2
Deep clustering (DC) and utterance-level permutation invariant training (uPIT) have been demonstrated promising for speaker-independent speech separation. DC is usually formulated…
cs.LG2019
Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization
Bin Liu
Bayesian optimization (BO) is a powerful paradigm for derivative-free global optimization of a black-box objective function (BOF) that is expensive to evaluate. However, the overhe…
cs.CR2018
A Survey on Trust Modeling from a Bayesian Perspective
Bin Liu
In this paper, we are concerned with trust modeling for agents in networked computing systems. As trust is a subjective notion that is invisible, implicit and uncertain in nature,…