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researcher

Kai Yu

63 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
  • middle author10
  • last author50

Across the 60 of 63 papers where every author was matched, so the position is known.

fields
  • cs.CL36
  • cs.SD8
  • eess.AS7
  • cs.LG3
  • quant-ph3
  • cs.CV2
same name
  • Kai Yu — 39 papers, h 13
  • Kai Yu — 33 papers, h 9
  • Kai Yu — 28 papers, h 9
  • Kai Yu — 22 papers, h 6
  • Kai Yu — 8 papers, h 2
  • Kai Yu — 7 papers, h 8

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

activity
20162025
most citedEnd-to-end spoofing detection with raw waveform CLDNNs

67 citations · 293 across the 40 of their papers we have counts for

collaborators
Showing 2019 · cs.CLShow all

4 papers · 2 filters

cs.CL2019

Data Augmentation with Atomic Templates for Spoken Language Understanding

Zijian Zhao, Su Zhu, Kai Yu

Spoken Language Understanding (SLU) converts user utterances into structured semantic representations. Data sparsity is one of the main obstacles of SLU due to the high cost of hum…

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,…

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.CL2019★ 2 cited

A Hierarchical Decoding Model For Spoken Language Understanding From Unaligned Data

Zijian Zhao, Su Zhu, Kai Yu

Spoken language understanding (SLU) systems can be trained on two types of labelled data: aligned or unaligned. Unaligned data do not require word by word annotation and is easier…

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