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Sen Wang

4 papers hereh-index 313.4k citations85 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.LG2
  • cs.DB1
  • cs.IR1
same name
  • Sen Wang — 3 papers
  • Sen Wang — 1 paper
  • Sen Wang — 1 paper
  • Sen Wang — 1 paper, h 10
  • Sen Wang — 1 paper
  • Sen Wang — 1 paper, h 6

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
20152017
most citedUnsupervised Feature Analysis with Class Margin Optimization

13 citations · 18 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DB2017★ 3 cited

PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking

Meng Wang, Jiaheng Zhang, Jun Liu +4

Electronic medical records contain multi-format electronic medical data that consist of an abundance of medical knowledge. Facing with patient's symptoms, experienced caregivers ma…

cs.IR2017

Hybrid Collaborative Recommendation via Semi-AutoEncoder

Shuai Zhang, Lina Yao, Xiwei Xu +2

In this paper, we present a novel structure, Semi-AutoEncoder, based on AutoEncoder. We generalize it into a hybrid collaborative filtering model for rating prediction as well as p…

cs.LG2016★ 2 cited

Uncovering Locally Discriminative Structure for Feature Analysis

Sen Wang, Feiping Nie, Xiaojun Chang +3

Manifold structure learning is often used to exploit geometric information among data in semi-supervised feature learning algorithms. In this paper, we find that local discriminati…

cs.LG2015★ 13 cited

Unsupervised Feature Analysis with Class Margin Optimization

Sen Wang, Feiping Nie, Xiaojun Chang +3

Unsupervised feature selection has been always attracting research attention in the communities of machine learning and data mining for decades. In this paper, we propose an unsupe…

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