13 citations · 29 across the 16 of their papers we have counts for
15 papers
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
Yi Zhou, Jose Camacho-Collados, Danushka Bollegala
Various types of social biases have been reported with pretrained Masked Language Models (MLMs) in prior work. However, multiple underlying factors are associated with an MLM such…
Super Denoise Net: Speech Super Resolution with Noise Cancellation in Low Sampling Rate Noisy Environments
Junkang Yang, Hongqing Liu, Lu Gan +1
Speech super-resolution (SSR) aims to predict a high resolution (HR) speech signal from its low resolution (LR) corresponding part. Most neural SSR models focus on producing the fi…
Generalizable and explainable prediction of potential miRNA-disease associations based on heterogeneous graph learning
Yi Zhou, Meixuan Wu, Chengzhou Ouyang +1
Biomedical research has revealed the crucial role of miRNAs in the progression of many diseases, and computational prediction methods are increasingly proposed for assisting biolog…
Together We Make Sense -- Learning Meta-Sense Embeddings from Pretrained Static Sense Embeddings
Haochen Luo, Yi Zhou, Danushka Bollegala
Sense embedding learning methods learn multiple vectors for a given ambiguous word, corresponding to its different word senses. For this purpose, different methods have been propos…
Solving Cosine Similarity Underestimation between High Frequency Words by L2 Norm Discounting
Saeth Wannasuphoprasit, Yi Zhou, Danushka Bollegala
Cosine similarity between two words, computed using their contextualised token embeddings obtained from masked language models (MLMs) such as BERT has shown to underestimate the ac…
Dual Residual Attention Network for Image Denoising
Wencong Wu, Shijie Liu, Yi Zhou +2
In image denoising, deep convolutional neural networks (CNNs) can obtain favorable performance on removing spatially invariant noise. However, many of these networks cannot perform…