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Hongliang Zhang

4 papers hereh-index 236 citations12 works total

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

author position
  • middle author4

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

fields
  • cs.CV2
  • cs.CL1
  • eess.SP1
same name
  • Hongliang Zhang — 47 papers, h 55
  • Hongliang Zhang — 13 papers, h 5
  • Hongliang Zhang — 12 papers
  • Hongliang Zhang — 10 papers, h 9
  • Hongliang Zhang — 7 papers, h 5
  • Hongliang Zhang — 5 papers, h 2

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

collaborators

4 papers

eess.SP2026

Unsupervised Semi-Parametric Plug-in Likelihood-Ratio Detection for Covert Communications in the Presence of Disco Reconfigurable Intelligent Surfaces

Luyao Sun, Huan Huang, Yongxing Song +5

Covert communications, also referred to as low probability of detection (LPD) communications, provide a higher level of privacy protection than cryptography and physical-layer secu…

cs.CL2025

Every Activation Boosted: Scaling General Reasoner to 1 Trillion Open Language Foundation

Ling Team, Ang Li, Ben Liu +138

We introduce Ling 2.0, a series reasoning-oriented language foundation built upon the principle that every activation boosts reasoning capability. Designed to scale from tens of bi…

cs.CV2025

Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation

Jian Shi, Tianqi You, Pingping Zhang +3

Automated and accurate segmentation of individual vertebra in 3D CT and MRI images is essential for various clinical applications. Due to the limitations of current imaging techniq…

cs.CV2025

Building a Human-Verified Clinical Reasoning Dataset via a Human LLM Hybrid Pipeline for Trustworthy Medical AI

Chao Ding, Mouxiao Bian, Pengcheng Chen +11

Despite strong performance in medical question-answering, the clinical adoption of Large Language Models (LLMs) is critically hampered by their opaque 'black-box' reasoning, limiti…

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