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Zhiyuan Wang

University of Electronic Science and Technology of China

4 papers hereh-index 5152 citations10 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CL3
  • eess.IV1
affiliations
  • University of Electronic Science and Technology of China
HomepageORCID 0009-0009-3835-4596
same name
  • Zhiyuan Wang — 8 papers, h 6
  • Zhiyuan Wang — 8 papers
  • Zhiyuan Wang — 7 papers, h 8
  • Zhiyuan Wang — 6 papers
  • Zhiyuan Wang — 6 papers
  • Zhiyuan Wang — 5 papers, h 5

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.IV2025

Conformal Lesion Segmentation for 3D Medical Images

Binyu Tan, Zhiyuan Wang, Jinhao Duan +4

Medical image segmentation serves as a critical component of precision medicine, enabling accurate localization and delineation of pathological regions, such as lesions. However, e…

cs.CL2025

COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees

Zhiyuan Wang, Jinhao Duan, Qingni Wang +4

Uncertainty quantification (UQ) for foundation models is essential to identify and mitigate potential hallucinations in automatically generated text. However, heuristic UQ approach…

cs.CL2025

SConU: Selective Conformal Uncertainty in Large Language Models

Zhiyuan Wang, Qingni Wang, Yue Zhang +4

As large language models are increasingly utilized in real-world applications, guarantees of task-specific metrics are essential for their reliable deployment. Previous studies hav…

cs.CL2024

Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models

Qingni Wang, Tiantian Geng, Zhiyuan Wang +3

Multimodal Large Language Models (MLLMs) exhibit promising advancements across various tasks, yet they still encounter significant trustworthiness issues. Prior studies apply Split…

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