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Jie Yang

6 papers hereh-index 322 citations9 works total

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

author position
  • middle author6

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV2
same name
  • Jie Yang — 61 papers, h 88
  • Jie Yang — 31 papers, h 7
  • Jie Yang — 25 papers, h 17
  • Jie Yang — 23 papers, h 31
  • Jie Yang — 22 papers, h 25
  • Jie Yang — 20 papers, h 22

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 citedPnPNet: Pull-and-Push Networks for Volumetric Segmentation with Boundary Confusion

2 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

eess.IV2024

AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis

Minghui Zhang, Chenyu Li, Fangfang Xie +8

Accurate anatomical labeling and analysis of the pulmonary structure and its surrounding anatomy from thoracic CT is getting increasingly important for understanding the etilogy of…

cs.CV2024

Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models

Yuncheng Yang, Yulei Qin, Tong Wu +9

The cultivation of expertise for large language models (LLMs) to solve tasks of specific areas often requires special-purpose tuning with calibrated behaviors on the expected stabl…

eess.IV2024

SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation

Xin You, Yixin Lou, Minghui Zhang +2

Automatic and precise multi-class vertebrae segmentation from CT images is crucial for various clinical applications. However, due to similar appearances between adjacent vertebrae…

cs.CV2024

RESTORE: Towards Feature Shift for Vision-Language Prompt Learning

Yuncheng Yang, Chuyan Zhang, Zuopeng Yang +6

Prompt learning is effective for fine-tuning foundation models to improve their generalization across a variety of downstream tasks. However, the prompts that are independently opt…

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