activity
20152021
most citedHierarchical Memory Networks for Answer Selection on Unknown Words

9 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2021★ 2 cited

LiMuSE: Lightweight Multi-modal Speaker Extraction

Qinghua Liu, Yating Huang, Yunzhe Hao +2

Multi-modal cues, including spatial information, facial expression and voiceprint, are introduced to the speech separation and speaker extraction tasks to serve as complementary in…

eess.AS2021

WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments

Yunzhe Hao, Jiaming Xu, Peng Zhang +1

In the speaker extraction problem, it is found that additional information from the target speaker contributes to the tracking and extraction of the target speaker, which includes…

cs.SD2021★ 1 cited

MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation

Xiyun Li, Yong Xu, Meng Yu +4

Recently, our proposed recurrent neural network (RNN) based all deep learning minimum variance distortionless response (ADL-MVDR) beamformer method yielded superior performance ove…

cs.IR2016★ 9 cited

Hierarchical Memory Networks for Answer Selection on Unknown Words

Jiaming Xu, Jing Shi, Yiqun Yao +2

Recently, end-to-end memory networks have shown promising results on Question Answering task, which encode the past facts into an explicit memory and perform reasoning ability by m…

cs.IR2015

Short Text Hashing Improved by Integrating Multi-Granularity Topics and Tags

Jiaming Xu, Bo Xu, Guanhua Tian +3

Due to computational and storage efficiencies of compact binary codes, hashing has been widely used for large-scale similarity search. Unfortunately, many existing hashing methods…