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researcher

Hu Wang

4 papers hereh-index 2101 citations6 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CL1
  • cs.CV1
  • cs.IR1
  • cs.SI1
same name
  • Hu Wang — 22 papers, h 28
  • Hu Wang — 19 papers, h 12
  • Hu Wang — 7 papers, h 6
  • Hu Wang — 7 papers, h 2
  • Hu Wang — 5 papers, h 5
  • Hu Wang — 4 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
20192025
most citedUnsupervised Representation Learning by Predicting Random Distances

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2025

Explicit and Implicit Data Augmentation for Social Event Detection

Congbo Ma, Yuxia Wang, Jia Wu +6

Social event detection involves identifying and categorizing important events from social media, which relies on labeled data, but annotation is costly and labor-intensive. To addr…

cs.SI2024

Learning To Sample the Meta-Paths for Social Event Detection

Congbo Ma, Hu Wang, Zitai Qiu +5

Social media data is inherently rich, as it includes not only text content, but also users, geolocation, entities, temporal information, and their relationships. This data richness…

cs.IR2024

Disentangling Specificity for Abstractive Multi-document Summarization

Congbo Ma, Wei Emma Zhang, Hu Wang +2

Multi-document summarization (MDS) generates a summary from a document set. Each document in a set describes topic-relevant concepts, while per document also has its unique content…

cs.CV2019★ 3 cited

Unsupervised Representation Learning by Predicting Random Distances

Hu Wang, Guansong Pang, Chunhua Shen +1

Deep neural networks have gained tremendous success in a broad range of machine learning tasks due to its remarkable capability to learn semantic-rich features from high-dimensiona…

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