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Hao Tang

18 papers hereh-index 7262 citations21 works total

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

author position
  • middle author11
  • last author6

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.LG4
  • cs.CL2
  • cond-mat.mtrl-sci1
  • cs.CR1
  • cs.GR1
same name
  • Hao Tang — 47 papers, h 29
  • Hao Tang — 41 papers, h 9
  • Hao Tang — 34 papers, h 19
  • Hao Tang — 34 papers, h 22
  • Hao Tang — 31 papers, h 21
  • Hao Tang — 15 papers, h 15

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
20232026
most citedMultimodal Alignment and Fusion: A Survey

21 citations · 26 across the 15 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model

Yuqing Wang, Zhongling Huang, Shuxin Yang +4

PolSAR data presents unique challenges due to its rich and complex characteristics. Existing data representations, such as complex-valued data, polarimetric features, and amplitude…

cs.LG2024

Network Inversion and Its Applications

Pirzada Suhail, Hao Tang, Amit Sethi

Neural networks have emerged as powerful tools across various applications, yet their decision-making process often remains opaque, leading to them being perceived as "black boxes.…

cs.CV2024★ 21 cited

Multimodal Alignment and Fusion: A Survey

Songtao Li, Hao Tang

This survey provides a comprehensive overview of recent advances in multimodal alignment and fusion within the field of machine learning, driven by the increasing availability and…

cs.CL2024★ 1 cited

Hierarchical Indexing for Retrieval-Augmented Opinion Summarization

Tom Hosking, Hao Tang, Mirella Lapata

We propose a method for unsupervised abstractive opinion summarization, that combines the attributability and scalability of extractive approaches with the coherence and fluency of…

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