Author

Peiyuan Jing

Observed name: Jing, Peiyuan

Institutions: Imperial College London, ZHAW Zurich University of Applied Sciences

Observed institutions: Imperial College London, ZHAW Zurich University of Applied Sciences

OpenAlex ID: A5065454976

GEMA-Score: Granular Explainable Multi-Agent Scoring Framework for Radiology Report Evaluation

2026 · Zhenxuan Zhang, KinHei Lee, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1

ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection

2026 · Chun-Wun Cheng, Yanqi Cheng, et al. · Lecture notes in computer science

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MAP-Diff: Multi-anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising

2026 · Peiyuan Jing, Chun-Wun Cheng, et al. · Lecture notes in computer science

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CT-Conditioned Diffusion Prior with Physics-Constrained Sampling for PET Super-Resolution

2026 · Liutao Yang, Zi Wang, et al. · Lecture notes in computer science

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3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising

2026 · Peiyuan Jing, Yue Yang, et al. · Lecture notes in computer science

Seeing through experts' eyes: a foundational vision-language model trained on radiologists' gaze and reasoning

2026 · Kinhei Lee, Peiyuan Jing, et al. · npj Artificial Intelligence

Musical Score Understanding Benchmark: Evaluating Large Language Models' Comprehension of Complete Musical Scores

2026 · Association for Computational Linguistics 2026, An, Hongran, et al. · Underline Science Inc.

How Adversarial Environments Mislead Agentic AI?

2026 · Association for Computational Linguistics 2026, Haddadi, Hamed, et al. · Underline Science Inc.

How Adversarial Environments Mislead Agentic AI?

2026 · Zhan, Zhonghao, Zhou, Huichi, et al. · arXiv (Cornell University)

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Seeing Through Experts Eyes A Foundational Vision Language Model Trained on Radiologists Gaze and Reasoning

2026 · Lee, Kinhei, Jing, Peiyuan, et al. · arXiv (Cornell University)

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Energyflow: A Physically Consistent Learning Framework for 3D Microscopy Deconvolution

2026 · Yue Yang, Zhenxuan Zhang, et al. · IEEE International Symposium on Biomedical Imaging (ISBI)

Pretext Task Adversarial Learning for Unpaired Low-Field to Ultra High-Field MRI Synthesis

2026 · Zhenxuan Zhang, Peiyuan Jing, et al. · IEEE International Symposium on Biomedical Imaging (ISBI)

CT-conditioned diffusion prior with physics-constrained sampling for PET super-resolution

2026 · Yang, Liutao, Wang, Zi, et al. · Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences)

ReDiff: Reliability-Guided Diffusion for Trustworthy Ultra-Low-Field to High-Field MRI Synthesis

2026 · Zhang, Zhenxuan, Jing, Peiyuan, et al. · arXiv (Cornell University)

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3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising

2026 · Jing, Peiyuan, Yang, Yue, et al. · arXiv (Cornell University)

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GEMA-Score: Granular Explainable Multi-Agent Scoring Framework for Radiology Report Evaluation

2026 · Association for Artificial Intelligence 2026, Deng, Weihang, et al. · Underline Science Inc.

How Adversarial Environments Mislead Agentic AI?

2026 · Zhonghao Zhan, Huichi Zhou, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)

Works count: 19

Citation count: 1

H-index: 1

I10-index: