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Philip S. Yu

287 papers hereh-index 168143k citations1.8k works total

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

author position
  • first author1
  • middle author79
  • last author200

Across the 280 of 287 papers where every author was matched, so the position is known.

fields
  • cs.LG69
  • cs.SI54
  • cs.CL52
  • cs.DB32
  • cs.IR23
  • cs.CR15
same name
  • Philip S. Yu — 85 papers, h 45
  • Philip S. Yu — 29 papers, h 11
  • Philip S. Yu — 28 papers, h 10
  • Philip S. Yu — 28 papers, h 7
  • Philip S. Yu — 24 papers, h 17
  • Philip S. Yu — 21 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

activity
20092023
most citedA Comprehensive Survey on Graph Neural Networks

10.1k citations · 21.9k across the 280 of their papers we have counts for

collaborators
Showing 2017 · cs.CLShow all

4 papers · 2 filters

cs.CL2017★ 3 cited

Product Function Need Recognition via Semi-supervised Attention Network

Hu Xu, Sihong Xie, Lei Shu +1

Functionality is of utmost importance to customers when they purchase products. However, it is unclear to customers whether a product can really satisfy their needs on functions. F…

cs.CL2017

Dual Attention Network for Product Compatibility and Function Satisfiability Analysis

Hu Xu, Sihong Xie, Lei Shu +1

Product compatibility and their functionality are of utmost importance to customers when they purchase products, and to sellers and manufacturers when they sell products. Due to th…

cs.CL2017★ 1 cited

Bringing Semantic Structures to User Intent Detection in Online Medical Queries

Chenwei Zhang, Nan Du, Wei Fan +3

The Internet has revolutionized healthcare by offering medical information ubiquitously to patients via web search. The healthcare status, complex medical information needs of pati…

cs.CL2017★ 5 cited

Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge

Hu Xu, Lei Shu, Philip S. Yu

Extracting opinion targets is an important task in sentiment analysis on product reviews and complementary entities (products) are one important type of opinion targets that may wo…

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