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Kai Yu

4 papers hereh-index 5411.5k citations394 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • eess.AS1
same name
  • Kai Yu — 4 papers, h 35
  • Kai Yu — 2 papers
  • Kai Yu — 2 papers, h 23
  • Kai Yu — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedMargin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

22 citations · 31 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2019★ 2 cited

Semantic Parsing with Dual Learning

Ruisheng Cao, Su Zhu, Chen Liu +2

Semantic parsing converts natural language queries into structured logical forms. The paucity of annotated training samples is a fundamental challenge in this field. In this work,…

eess.AS2019★ 22 cited

Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

Xu Xiang, Shuai Wang, Houjun Huang +2

Recently, speaker embeddings extracted from a speaker discriminative deep neural network (DNN) yield better performance than the conventional methods such as i-vector. In most case…

cs.CL2019★ 7 cited

AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning

Lu Chen, Zhi Chen, Bowen Tan +3

Dialogue policy plays an important role in task-oriented spoken dialogue systems. It determines how to respond to users. The recently proposed deep reinforcement learning (DRL) app…

cs.CL2016

On Training Bi-directional Neural Network Language Model with Noise Contrastive Estimation

Tianxing He, Yu Zhang, Jasha Droppo +1

We propose to train bi-directional neural network language model(NNLM) with noise contrastive estimation(NCE). Experiments are conducted on a rescore task on the PTB data set. It i…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.