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Zihao Wang

21 papers hereh-index 191.6k citations62 works total

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

author position
  • first author10
  • middle author6
  • last author3

Across the 19 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.CL4
  • cs.LG4
  • cs.SD2
  • cs.GR1
  • econ.GN1
same name
  • Zihao Wang — 32 papers, h 16
  • Zihao Wang — 21 papers, h 15
  • Zihao Wang — 18 papers, h 7
  • Zihao Wang — 11 papers, h 9
  • Zihao Wang — 11 papers, h 5
  • Zihao Wang — 11 papers, 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
20152023
most citedNeural Rating Regression with Abstractive Tips Generation for Recommendation

306 citations · 405 across the 21 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 13 cited

Higher-order Weighted Graph Convolutional Networks

Songtao Liu, Lingwei Chen, Hanze Dong +3

Graph Convolution Network (GCN) has been recognized as one of the most effective graph models for semi-supervised learning, but it extracts merely the first-order or few-order neig…

cs.CL2019

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion

Zihao Wang, Kwun Ping Lai, Piji Li +2

For large-scale knowledge graphs (KGs), recent research has been focusing on the large proportion of infrequent relations which have been ignored by previous studies. For example f…

cs.LG2019★ 4 cited

Wasserstein-Fisher-Rao Document Distance

Zihao Wang, Datong Zhou, Yong Zhang +2

As a fundamental problem of natural language processing, it is important to measure the distance between different documents. Among the existing methods, the Word Mover's Distance…

cs.CL2019★ 14 cited

Persona-Aware Tips Generation

Piji Li, Zihao Wang, Lidong Bing +1

Tips, as a compacted and concise form of reviews, were paid less attention by researchers. In this paper, we investigate the task of tips generation by considering the `persona' in…

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