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researcher

Jie Zhao

4 papers hereh-index 6337 citations18 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.CL1
  • cs.CV1
  • eess.IV1
  • nucl-th1
same name
  • Jie Zhao — 12 papers, h 4
  • Jie Zhao — 9 papers, h 12
  • Jie Zhao — 8 papers, h 10
  • Jie Zhao — 8 papers, h 10
  • Jie Zhao — 7 papers, h 10
  • Jie Zhao — 7 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
20202026
most citedSkin disease diagnosis with deep learning: a review

4 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

nucl-th2026

Investigation of Nonlinear Collective Dynamics in Relativistic Heavy-Ion Collisions Using A Multi-Phase Transport Model

Zhi-Jie Yang, Hao-jie Xu, Jie Zhao +1

The nonlinear response coefficient, χ4,22​, is a crucial observable for probing the dynamical properties of the quark-gluon plasma (QGP). Although traditionally interpreted as…

cs.CV2024

PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images

Zifan Chen, Xinyu Nan, Jiazheng Li +9

Volumetric segmentation is important in medical imaging, but current methods face challenges like requiring lots of manual annotations and being tailored to specific tasks, which l…

cs.CL2023★ 4 cited

Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review

Mingze Yuan, Peng Bao, Jiajia Yuan +8

With the rapid development of artificial intelligence, large language models (LLMs) have shown promising capabilities in mimicking human-level language comprehension and reasoning.…

eess.IV2020★ 4 cited

Skin disease diagnosis with deep learning: a review

Hongfeng Li, Yini Pan, Jie Zhao +1

Skin cancer is one of the most threatening diseases worldwide. However, diagnosing skin cancer correctly is challenging. Recently, deep learning algorithms have emerged to achieve…

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