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Haobo Zhang

18 papers hereh-index 12555 citations38 works total

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

author position
  • first author7
  • middle author10

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

fields
  • eess.SP15
  • cs.IT3
same name
  • Haobo Zhang — 7 papers, h 4
  • Haobo Zhang — 7 papers, h 5
  • Haobo Zhang — 3 papers, h 2
  • Haobo Zhang — 2 papers, h 1
  • Haobo Zhang — 2 papers, h 3
  • Haobo Zhang — 1 paper, 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
20202026
most citedMetaLocalization: Reconfigurable Intelligent Surface Aided Multi-user Wireless Indoor Localization

10 citations · 24 across the 18 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

eess.SP2026

RIS-Enabled Energy-Efficient ISAC for Vehicular Applications

Shengyu Yang, Yuhan Wang, Shuhao Zeng +3

By incorporating integrated sensing and communication (ISAC) into vehicle-to-infrastructure (V2I) networks, roadside units (RSUs) can support data transmission while providing addi…

cs.IT2026

Holographic Beamforming for Semantic Communication

Shuhao Zeng, Haobo Zhang, Su Wang +5

Holographic beamforming enabled by metamaterial antennas has been proposed to facilitate spatial multiplexing at low hardware cost and low power consumption. However, existing holo…

eess.SP2026

Holographic Surface Enabled Integrated Sensing and Communications

Haobo Zhang, Shuhao Zeng, Xinyuan Hu +12

Integrated sensing and communications (ISAC) is an essential 6G capability for joint data transmission and environmental sensing. To support 6G scenarios with stringent ISAC perfor…

eess.SP2026

RIS-Aided Wireless Amodal Sensing for Single-View 3D Reconstruction

Yuhan Wang, Haobo Zhang, Qingyu Liu +2

Amodal sensing is critical for various real-world sensing applications because it can recover the complete shapes of partially occluded objects in complex environments. Among vario…

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