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researcher

Hongwei Wang

Stanford University

4 papers hereh-index 226.3k citations33 works total

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

author position
  • first author4

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

fields
  • stat.ML3
  • cs.LG1
affiliations
  • Stanford University
Homepage
same name
  • Hongwei Wang — 2 papers
  • Hongwei Wang — 2 papers
  • Hongwei Wang — 2 papers
  • Hongwei Wang — 2 papers, h 12
  • Hongwei Wang — 1 paper, h 48
  • Hongwei Wang — 1 paper, h 31

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 citedSHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

310 citations · 709 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ML2018★ 190 cited

DKN: Deep Knowledge-Aware Network for News Recommendation

Hongwei Wang, Fuzheng Zhang, Xing Xie +1

Online news recommender systems aim to address the information explosion of news and make personalized recommendation for users. In general, news language is highly condensed, full…

stat.ML2017★ 310 cited

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

Hongwei Wang, Fuzheng Zhang, Min Hou +3

In online social networks people often express attitudes towards others, which forms massive sentiment links among users. Predicting the sign of sentiment links is a fundamental ta…

stat.ML2017★ 30 cited

Joint Topic-Semantic-aware Social Recommendation for Online Voting

Hongwei Wang, Jia Wang, Miao Zhao +2

Online voting is an emerging feature in social networks, in which users can express their attitudes toward various issues and show their unique interest. Online voting imposes new…

cs.LG2017★ 179 cited

GraphGAN: Graph Representation Learning with Generative Adversarial Nets

Hongwei Wang, Jia Wang, Jialin Wang +5

The goal of graph representation learning is to embed each vertex in a graph into a low-dimensional vector space. Existing graph representation learning methods can be classified i…

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