(^#Equal contribution, *Corresponding author)

1. Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, and Dorin Comaniciu, Four-chamber heart modeling and automatic segmentation for 3-D cardiac CT volumes using marginal space learning and steerable features, IEEE Transactions on Medical Imaging, 2008, 27(11): 1668-1681

2. Yefeng Zheng, David Liu, Bogdan Georgescu, Hien Nguyen, and Dorin Comaniciu, 3D deep learning for efficient and robust landmark detection in volumetric data, Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention, 2015: 565-572

3. Zizhao Zhang, Lin Yang, and Yefeng Zheng*, Translating and segmenting multimodal medical volumes with cycle- and shape-consistency generative adversarial network, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018: 9242-9251

4. Sihong Chen, Kai Ma, and Yefeng Zheng*, Med3D: Transfer learning for 3D medical image analysis, arXiv preprint arXiv:1904.00625, 2019

5. Jichao Sun, Xi Chen, Ziheng Zhang, Shengzhang Lai, Bo Zhao, Hualuo Liu, Shuojia Wang, Wenjing Huan, Ruihui Zhao, Man Tat Alexander Ng, and Yefeng Zheng*, Forecasting the long-term trend of COVID-19 epidemic using a dynamic model, Scientific Reports, 2020, 10(1): 21122

6. He Zhao, Qingqing Zheng, Kai Ma, Huiqi Li, and Yefeng Zheng*, Deep representation-based domain adaptation for nonstationary EEG classification, IEEE Transactions on Neural Networks and Learning Systems, 2020, 32(2): 535-545

7. Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, and Yefeng Zheng*, Learning calibrated medical image segmentation via multi-rater agreement modeling, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021: 12341-12351 (candidate for the best paper award)

8. Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Xu Ming, and Yefeng Zheng*, PRGC: Potential relation and global correspondence based joint relational triple extraction, Proceedings of the Annual Meeting of the Association for Computational Linguistics, 2021: 6225–6235

9.Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, and Yefeng Zheng, Emerging drug interaction prediction enabled by flow-based graph neural network with biomedical network, Nature Computational Science, 2023, 3: 1023-1033

10. Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, and Yefeng Zheng, “When MOE meets LLMs: Parameter efficient fine-tuning for multi-task medical applications,” Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024: 1104-1114.