He Along, PhD, Assistant Professor, Master's Supervisor.
Contact: healong2020@163.com; healong@szu.edu.cn
Research Interests: Medical image analysis, semi-supervised learning, federated learning, large model fine-tuning, etc.
Personal Homepage: https://nkuhealong.github.io/
Education:
1) September 2020 – June 2025, Nankai University, PhD in Computer Science and Technology
2) September 2023 – September 2024, Singapore Agency for Science, Technology and Research (A*STAR), CSC-sponsored PhD program
3) September 2016 – June 2020, Northwest A&F University, Bachelor of Engineering in Information Management and Information Systems
Research Experience and Achievements:
During my doctoral studies, I studied in Professor Li Tao's research group at Nankai University. During this period, I also underwent a year of joint doctoral training at the Institute for High Performance Computing, A*STAR, Singapore, sponsored by the government. I also established a long-term academic collaboration with Professor Fu Huazhu, an expert in medical imaging. Currently, I have published over 15 papers in top international journals and conferences such as IEEE TMI, MedIA, NeurIPS, MICCAI, EMNLP, and ACM MM, including 10 first-author/corresponding author papers. Two of my papers in the top medical journal IEEE TMI are ESI highly cited papers.
Recruitment Information:
1-2 Master's students are accepted annually in Artificial Intelligence. Students from computer science and related majors are welcome to apply.
Representative Works:
1. Along He, Tao Li, Ning Li, Kai Wang and Huazhu Fu. CABNet: category attention block for imbalanced diabetic retinopathy grading[J]. IEEE Transactions on Medical Imaging, 2020, 40(1): 143-153. ( Top journals in the first quartile of the Chinese Academy of Sciences, Cited over 350 times by Google Scholar, and highly cited by ESI.)
2. Along He, Kai Wang, Tao Li, Chengkun Du, Shuang Xia and Huazhu Fu. H2Former An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation. [J]. IEEE Transactions on Medical Imaging, 2023, 42(9): 2763-2775. (Top journals in the first quartile of the Chinese Academy of Sciences，Cited over 230 times by Google Scholar, and highly cited by ESI.)
3. Along He, Kai Wang, Tao Li, Wang Bo, Hong Kang, and Huazhu Fu. Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation[J]. IEEE Transactions on Medical Imaging, 2022, 41(11): 3146-3157. (Top journals in the first quartile of the Chinese Academy of Sciences)
4. Along He, Tao Li, Juncheng Yan, Kai Wang, and Huazhu Fu. Bilateral Supervision Network for Semi-supervised Medical Image Segmentation[J]. IEEE Transactions on Medical Imaging, 2024,43(5): 1715- 1726. (Top journals in the first quartile of the Chinese Academy of Sciences)
5. Along He, Yanlin Wu, Zhihong Wang, Tao Li and Huazhu Fu. AdaptFRCNet: Semi-supervised Adaptation of Pre-trained Model with Frequency and Region Consistency for Medical Image Segmentation [J]. Medical Image Analysis, 2025: 103626.. (Top journals in the first quartile of the Chinese Academy of Sciences)
6. Along He, Tao Li, Yanlin Wu, Ke Zou, and Huazhu Fu. FRCNet: Frequency and Region Consistency for Semi- supervised Medical Image Segmentation[C]. Medical Image Computing and Computer Assisted Intervention– MICCAI 2024 (CCF B 会议，Early Accept，Spotlight Presentation)
7. Along He, Tao Li, Yitian Zhao, Junyong Zhao, and Huazhu Fu. Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter[C]. Medical Image Computing and Computer Assisted Intervention–MICCAI 2024 (CCF B Meeting)
8. Zhenning Shi, Haoshuai Zheng, Chen Xu, Changsheng Dong, Bin Pan, Xie xueshuo, Along He* (Co-corresponding author) , Tao Li*, Huazhu Fu. Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise[C]. NeurIPS 2024.(CCF Class A Conference)
