Publications

@inproceedings{tang2025u,
  title={U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking},
  author={Tang, Fenghe and Dong, Chengqi and Ma, Wenxin and Xu, Zikang and Zhu, Heqin and Jiang, Zihang and Wang, Rongsheng and Wang, Yuhao and Wu, Chenxu and Zhou, Shaohua Kevin},
  booktitle={Advances in Neural Information Processing Systems},
  year={2026},
  url={https://arxiv.org/abs/2510.07041}
}

@inproceedings{zhu2026nc,
  title={NC-Bench and NCfold: A Benchmark and Closed-Loop Framework for RNA Non-Canonical Base-Pair Prediction},
  author={Zhu, Heqin and Li, Ruifeng and Chang, Ao and Li, Mingqian and Chen, Hongyang and Xiong, Peng and Zhou, Shaohua Kevin},
  booktitle={International Conference on Learning Representations},
  volume={2026},
  pages={135816--135832},
  year={2026}
}

@article{zhu2025deep,
  title={Deep generalizable prediction of RNA secondary structure via base pair motif energy},
  author={Zhu, Heqin and Tang, Fenghe and Quan, Quan and Chen, Ke and Xiong, Peng and Zhou, Shaohua Kevin},
  journal={Nature Communications},
  volume={16},
  number={1},
  pages={5856},
  year={2025},
  publisher={Nature Publishing Group UK, London}
}

@article{zhang2025ireseek,
  title={IRESeek: structure-informed deep learning method for accurate identification of internal ribosome entry sites in circular RNAs},
  author={Zhang, Feng and Zhu, Heqin and Gao, Jiayin and Hu, Jie and Chen, Ke and Zhou, Shaohua Kevin and Xiong, Peng},
  journal={NAR Genomics and Bioinformatics},
  volume={7},
  number={4},
  pages={lqaf210},
  year={2025},
  publisher={Oxford University Press}
}

@article{huang2024pele,
  title={Pele scores: pelvic x-ray landmark detection with pelvis extraction and enhancement},
  author={Huang, Zhen and Li, Han and Shao, Shitong and Zhu, Heqin and Hu, Huijie and Cheng, Zhiwei and Wang, Jianji and Zhou, Shaohua Kevin},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  volume={19},
  number={5},
  pages={939--950},
  year={2024},
  publisher={Springer International Publishing, Cham}
}

@article{quan2024images,
  title={Which images to label for few-shot medical image analysis?},
  author={Quan, Quan and Yao, Qingsong and Zhu, Heqin and Wang, Qiyuan and Zhou, Shaohua Kevin},
  journal={Medical Image Analysis},
  volume={96},
  pages={103200},
  year={2024},
  publisher={Elsevier}
}

@article{quan2024igu,
  title={Igu-aug: Information-guided unsupervised augmentation and pixel-wise contrastive learning for medical image analysis},
  author={Quan, Quan and Yao, Qingsong and Zhu, Heqin and Zhou, Shaohua Kevin},
  journal={IEEE Transactions on Medical Imaging},
  volume={44},
  number={1},
  pages={154--164},
  year={2024},
  publisher={IEEE}
}

@inproceedings{tang2024hyspark,
  title={Hyspark: Hybrid sparse masking for large scale medical image pre-training},
  author={Tang, Fenghe and Xu, Ronghao and Yao, Qingsong and Fu, Xueming and Quan, Quan and Zhu, Heqin and Liu, Zaiyi and Zhou, Shaohua Kevin},
  booktitle={International conference on medical image computing and computer-assisted intervention},
  pages={330--340},
  year={2024},
  organization={Springer Nature Switzerland, Cham}
}

@inproceedings{wang2024six,
  title={SIX-Net: Spatial-Context Information miX-up for Electrode Landmark Detection},
  author={Wang, Xinyi and Xu, Zikang and Zhu, Heqin and Yao, Qingsong and Sun, Yiyong and Zhou, Shaohua Kevin},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={338--348},
  year={2024},
  organization={Springer Nature Switzerland, Cham}
}

@inproceedings{zhu2023uod,
  title={UOD: Universal one-shot detection of anatomical landmarks},
  author={Zhu, Heqin and Quan, Quan and Yao, Qingsong and Liu, Zaiyi and Zhou, Shaohua Kevin},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={24--34},
  year={2023},
  organization={Springer Nature Switzerland, Cham}
}

@article{quan2023slide,
  title={Slide-sam: Medical sam meets sliding window},
  author={Quan, Quan and Tang, Fenghe and Xu, Zikang and Zhu, Heqin and Zhou, Shaohua Kevin},
  journal={arXiv},
  year={2023},
  url={https://arxiv.org/abs/2311.10121}
}

@article{zhu2022learning,
  title={Learning to Localize Cross-Anatomy Landmarks in X-Ray Images with a Universal Model},
  author={Zhu, Heqin and Yao, Qingsong and Xiao, Li and Zhou, Shaohua Kevin},
  journal={BME Frontiers},
  volume={2022},
  pages={9765095},
  year={2022}
}

@inproceedings{zhu2021you,
  title={You only learn once: Universal anatomical landmark detection},
  author={Zhu, Heqin and Yao, Qingsong and Xiao, Li and Zhou, Shaohua Kevin},
  booktitle={International conference on medical image computing and computer-assisted intervention},
  pages={85--95},
  year={2021},
  organization={Springer International Publishing, Cham}
}

@article{liu2021deep,
  title={Deep learning to segment pelvic bones: large-scale CT datasets and baseline models},
  author={Liu, Pengbo and Han, Hu and Du, Yuanqi and Zhu, Heqin and Li, Yinhao and Gu, Feng and Xiao, Honghu and Li, Jun and Zhao, Chunpeng and Xiao, Li and Zhou, Shaohua Kevin},
  journal={International Journal of Computer Assisted Radiology and Surgery},
  volume={16},
  number={5},
  pages={749--756},
  year={2021},
  publisher={Springer International Publishing, Cham}
}

@inproceedings{lyu20213,
  title={A 3 DSegNet: anatomy-aware artifact disentanglement and segmentation network for unpaired segmentation, artifact reduction, and modality translation},
  author={Lyu, Yuanyuan and Liao, Haofu and Zhu, Heqin and Zhou, Shaohua Kevin},
  booktitle={International Conference on Information Processing in Medical Imaging},
  pages={360--372},
  year={2021},
  organization={Springer International Publishing, Cham}
}