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Kenny Q. Zhu

32 papers hereh-index 273.8k citations103 works total

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

author position
  • middle author6
  • last author25

Across the 31 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CL21
  • cs.IR3
  • cs.LG3
  • cs.SD2
  • cs.AI1
  • cs.CV1
same name
  • Kenny Q. Zhu — 4 papers, h 4
  • Kenny Q. Zhu — 1 paper, h 3

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
20122023
most citedMICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data

17 citations · 105 across the 32 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.AI2018★ 14 cited

Automatic Generation of Text Descriptive Comments for Code Blocks

Yuding Liang, Kenny Q. Zhu

We propose a framework to automatically generate descriptive comments for source code blocks. While this problem has been studied by many researchers previously, their methods are…

cs.CL2018★ 6 cited

Representing Verbs as Argument Concepts

Yu Gong, Kaiqi Zhao, Kenny Q. Zhu

Verbs play an important role in the understanding of natural language text. This paper studies the problem of abstracting the subject and object arguments of a verb into a set of n…

cs.CL2018★ 6 cited

Automatic Generation of Chinese Short Product Titles for Mobile Display

Yu Gong, Xusheng Luo, Kenny Q. Zhu +3

This paper studies the problem of automatically extracting a short title from a manually written longer description of E-commerce products for display on mobile devices. It is a ne…

cs.CL2018★ 1 cited

Deep Cascade Multi-task Learning for Slot Filling in Online Shopping Assistant

Yu Gong, Xusheng Luo, Yu Zhu +6

Slot filling is a critical task in natural language understanding (NLU) for dialog systems. State-of-the-art approaches treat it as a sequence labeling problem and adopt such model…

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