I am now an assistant professor at Shenzhen University and I have received my PhD from Nankai University in 2025, advised by Prof. Tao Li. I was sponsored by the China Scholarship Council (CSC) and participated in a joint doctoral training program at the Agency for Science, Technology and Research (A*STAR) in Singapore from September 2023 to September 2024 under the supervision of Dr Huazhu Fu.
Email：healong2020@163.com and healong@szu.edu.cn.
My research interest includes medical image analysis,semi-supervised learning and computer vision.
🎓 📚 每年招收2名左右的硕士研究生，如果你对AI+医疗影像分析感兴趣，欢迎发送简历至邮箱联系我！
招生要求：
- 对计算机视觉和医疗影像研究方向感兴趣.
- 善于沟通，积极主动,有一定的抗压能力.
- 有良好的英文写作和文献阅读能力.
- 较强的编程能力，熟悉Python和pytorch框架.
本人尽可能提供：
✅ 手把手指导 —— 从读论文，代码，写作全称参与指导
✅ 鼓励实习 —— 完成科研任务的前提下，鼓励去大厂实习
✅ 计算资源 —— 有充足的GPU资源可供使用
✅ 轻松的氛围 —— 不用打卡，时间相对自由
✅ 继续深造 —— 可推荐去海外或国内高校进一步深造
📝 也欢迎学有余力的本科生进组实习！
🔥 Recent News
- 2025.08: One papers was accepted by EMNLP 2025.
- 2025.08: One papers was accepted by ACMMM 2025 Datasets Track.
- 2025.04: One papers was accepted by MedIA 2025.
- 2024.11: One papers was accepted by NN 2024.
- 2024.09: One papers was accepted by NeurIPS 2024.
- 2024.06: One papers was accepted by MICCAI2024.
- 2024.05: One papers was early accepted by MICCAI2024.
- 2023.11: One paper accepted by IEEE TMI.
📝 Publications
Longkai Cheng†, Along He†(Co-first author), Mulin Li, Xie xueshuo, Tao Li. EMNLP 2025.
Along He, Y Wu, Z Wang, Tao Li, and Huazhu Fu. Medical Image Analysis 2025.
FRCNet: Frequency and Region Consistency for Semisupervised Medical Image Segmentation
Along He, Tao Li, Yanlin Wu, Ke Zou, and Huazhu Fu. MICCAI 2024.
Open-Set Semi-Supervised Medical Image Classification with Learnable Prototypes and Outlier Filter
Along He, Tao Li, Yitian Zhao, Junyong Zhao, and Huazhu Fu. MICCAI 2024.
Bilateral Supervision Network for Semi-supervised Medical Image Segmentation
Along He, Tao Li, Juncheng Yan, Kai Wang, and Huazhu Fu. IEEE TMI 2024.
H2Former: An efficient hierarchical hybrid transformer for medical image segmentation (Highly cited paper)
Along He, Kai Wang, Tao Li, Chengkun Du, Shuang Xia and Huazhu Fu. IEEE TMI 2023.
Progressive multiscale consistent network for multiclass fundus lesion segmentation
Along He, Kai Wang, Tao Li, Wang Bo, Hong Kang, and Huazhu Fu. IEEE TMI 2022.
CABNet: category attention block for imbalanced diabetic retinopathy grading (Highly cited paper)
Along He, Tao Li, Ning Li, Kai Wang and Huazhu Fu. IEEE TMI 2020.
🎖 Honors and Awards
- 2024.10 IEEE TMI Distinguished Reviewer.
- 2023.12 Won the first prize of the National Artificial Intelligence Application Scene Innovation Challenge Competition.
- 2020.10 Freshman Scholarship of Nankai University.
📖 Educations
- 2020.09 - 2025.06, Ph.D, Nankai University, Tianjin, China.
- 2016.09 - 2020.06, B.S, Northwest A&F University, Yangling, Shaanxi, China.
💻 Academic Activities
- Conference Reviewer: MICCAI2023, ISBI 2022.
- Journal Reviewer: IEEE TMI, MIA, IEEE JBHI