Possible advisorsa guess from early papers, not confirmed

• Jianchun Zhao

  Possible advisor · last author on 5 of their early first-author papers, 2025–2026

  Suggested from co-authorship

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• A Sound Source Localization Method Based on Frequency Divider and Time Difference of Arrival

  Jianchun Zhao, Guangyue Zhang, Jierui Qu, Jiayi Chen, Shuang Liang, Kaiqiang Wei, Guan Wang

  Applied Sciences · 2023

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• An interpretable shapelets-based method for myocardial infarction detection using dynamic learning and deep learning

  Jierui Qu, Qinghua Sun, Weiming Wu, Fukai Zhang, Chunmiao Liang, Yuguo Chen, Cong Wang

  Physiological Measurement · 2024

  An interpretable shapelet-based approach for MI detection is proposed using dynamic learning and deep learning to extract and select shapelets from ECG dynamics, which can capture locally specific ECG changes, and serve as discriminative features for identifying MI patients.

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• RL-U2Net: A Dual-Branch UNet with Reinforcement Learning-Assisted Multimodal Feature Fusion for Accurate 3D Whole-Heart Segmentation

  Jierui Qu, Jianchun Zhao

  Proceedings of the AAAI Conference on Artificial Intelligence · 2026

  Experimental results demonstrate that the proposed RL-U2Net outperforms existing state-of-the-art methods, achieving Dice coefficients of 93.1% on CT and 87.0% on MRI, thereby validating the effectiveness and superiority of the proposed approach.

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• RDTE-UNet: A Boundary and Detail Aware UNet for Precise Medical Image Segmentation

  Jierui Qu, Jianchun Zhao

  IEEE International Symposium on Biomedical Imaging (ISBI) · 2026

  RDTE-UNet, a segmentation network that unifies local modeling with global context to strengthen boundary delineation and detail preservation, is proposed, a segmentation network that unifies local modeling with global context to strengthen boundary delineation and detail preservation.

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• CaseWeaver: A Multi-Agent Framework for Multimodal Virtual Clinical Case Generation

  Jierui Qu, Jiachuan Peng, Lin Li, Kyle Lam, Jianing Qiu

  arXiv · 2026

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• A DyL-UNet Framework Based on Dynamic Learning for Temporally Consistent Echocardiographic Segmentation

  Jierui Qu, Jianchun Zhao

  IEEE International Conference on Acoustics Speech and Signal Processing · 2026

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• A 3d-Shapelet-Based Multi-Scale Dual-Attention Resnet-Transformer Network Based on Dynamic Learning for Interpretable Myocardial Infarction Detection

  Jierui Qu, Jianchun Zhao, Qinghua Sun

  SSRN Electronic Journal · 2025

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• MIQ-SAM3D: From Single-Point Prompt to Multi-Instance Segmentation via Competitive Query Refinement

  Jierui Qu, Jianchun Zhao

  arXiv · 2025

  MIQ-SAM3D is proposed, a multi-instance 3D segmentation framework with a competitive query optimization strategy that shifts from single-point-to-single-mask to single-point-to-multi-instance, providing a practical solution for efficient annotation of clinically relevant multi-lesion cases.

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