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researcher

J. Guo

101 papers hereh-index 5110.4k citations231 works total

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

author position
  • first author3
  • middle author92
  • last author6

Across the 101 of 101 papers where every author was matched, so the position is known.

fields
  • cs.IR53
  • cs.CL30
  • cs.CV6
  • cs.LG6
  • cs.AI5
  • physics.soc-ph1
same name
  • J. Guo — 421 papers
  • J. Guo — 159 papers, h 64
  • J. Guo — 35 papers
  • J. Guo — 30 papers, h 14
  • J. Guo — 25 papers, h 16
  • J. Guo — 22 papers, h 18

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
20112026
most citedA Deep Relevance Matching Model for Ad-hoc Retrieval

855 citations · 2.8k across the 100 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.IR2016★ 83 cited

A Study of MatchPyramid Models on Ad-hoc Retrieval

Liang Pang, Yanyan Lan, Jiafeng Guo +2

Deep neural networks have been successfully applied to many text matching tasks, such as paraphrase identification, question answering, and machine translation. Although ad-hoc ret…

cs.CL2016★ 131 cited

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

Shengxian Wan, Yanyan Lan, Jun Xu +3

Semantic matching, which aims to determine the matching degree between two texts, is a fundamental problem for many NLP applications. Recently, deep learning approach has been appl…

cs.CL2016★ 7 cited

Semantic Regularities in Document Representations

Fei Sun, Jiafeng Guo, Yanyan Lan +2

Recent work exhibited that distributed word representations are good at capturing linguistic regularities in language. This allows vector-oriented reasoning based on simple linear…

cs.CL2016★ 174 cited

Text Matching as Image Recognition

Liang Pang, Yanyan Lan, Jiafeng Guo +3

Matching two texts is a fundamental problem in many natural language processing tasks. An effective way is to extract meaningful matching patterns from words, phrases, and sentence…

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