😊About Me

• I am a PhD student at the University of Science and Technology of China (USTC) supervised by Prof. Shaohua Kevin Zhou. I focus on self-supervised learning, foundation model, medical image analysis, computer vision and pattern recognition. I received my bachelor’s and master’s degrees from Harbin Institute of Technology (HIT) in 2021 and 2023, respectively. My master’s tutor is Prof. Jianrui Ding. I have published 30+ papers at Top Conferences and Journals with
• Hobbies: 🎞️🏀🀄🃏🍔
• Seeking postdoctoral and research positions, feel free to contact me at fhtan9@mail.ustc.edu.cn 😎🥰🤗

🔥 News

• 2026.02:  One paper accepted to CVPR-26 Findings.
• 2026.01:  One paper accepted to ICLR-26.
• 2026.01:  Two papers accepted to ISBI-26 (Both are Orals).
• 2025.11:  Start my research internship at Alibaba DAMO Academy.
• 2025.11:  One paper accepted to WACV-26.
• 2025.10:  We released U-Bench, banchmarking with 100 u-shape variants. 🤗🤗🤗
• 2025.08:  One paper accepted to IEEE Transactions on Image Processing.
• 2025.08:  One paper accepted to Medical Image Analysis.
• 2025.07:  One paper accepted to ECAI-25.
• 2025.07:  One paper accepted to ACM MM-25.
• 2025.06:  Three papers accepted to MICCAI-25.
• 2025.04:  One paper accepted to npj Digital Medicine.
• 2025.04:  One paper accepted to Nature Communications.
• 2025.04:  One paper accepted to Medical Image Analysis.
• 2025.03:  One paper accepted to MIDL-25.
• 2025.03:  One paper accepted to CVPR-25.
• 2024.06:  One paper accepted to MICCAI-24.
• 2024.05:  One paper accepted to MICCAI-24 (Early Accept, Top 11 %).
• 2024.04:  One paper accepted to MIDL-24 (Oral, Best Oral Paper Finalists).
• 2024.02:  One paper accepted to ISBI-24 (Oral).

📝 Selected publications

$\dagger$: equal contributions; $\ast$: corresponding author (all publications)

Self-supervised Learning & Foundation Model 💪

• Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation, Fenghe Tang, Qingsong Yao, Wenxin Ma, Chenxu Wu, Zihang Jiang^$\ast$, S. Kevin Zhou^$\ast$. Medical Image Analysis. (Impact factor=11.8) [code]

• MedGMAE: Gaussian Masked Autoencoders for Medical Volumetric Representation Learning. Xueming Fu^$\dagger$, Fenghe Tang^$\dagger$, Rongsheng Wang, Yingtai Li, Lixia Han, Jian Lu, Zihang Jiang^$\ast$, S Kevin Zhou^$\ast$. [code]

• MambaMIM: Pre-training Mamba with State Space Token-interpolation and its Application to Medical Image Segmentation, Fenghe Tang^$\dagger$, Bingkun Nian^$\dagger$, Yingtai Li^$\dagger$, Zihang Jiang, Jie Yang, Wei Liu^$\ast$, S. Kevin Zhou^$\ast$. Medical Image Analysis. (Impact factor=11.8) [code]

• SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training, Rongsheng Wang^$\dagger$, Fenghe Tang^$\dagger$, Qingsong Yao, Rui Yan^$\ast$, Xu Zhang, Zhen Huang, Haoran Lai, Zhiyang He, Xiaodong Tao, Zihang Jiang^$\ast$, S. Kevin Zhou^$\ast$. [code]

• HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training, Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou^$\ast$. (Early Accept) [code]

• Slide-SAM: Medical SAM Meets Sliding Window, Quan Quan^$\dagger$, Fenghe Tang^$\dagger$, Zikang Xu, Heqin Zhu, S. Kevin Zhou^$\ast$. (Oral, Best Oral Paper Finalists) [code]

Medical Image Segmentation 🫀🫁🧠

• U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking, Fenghe Tang, Chengqi Dong, Wenxin Ma, Zikang Xu, Heqin Zhu, Zihang Jiang, Rongsheng Wang, Yuhao Wang, Chenxu Wu, S. Kevin Zhou^$\ast$. [project] [data] [weights] [code]

• Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation, Fenghe Tang^$\dagger$, Bingkun Nian^$\dagger$, Jianrui Ding, Wenxin Ma, Quan Quan, Chengqi Dong, Jie Yang, Wei Liu^$\ast$, S. Kevin Zhou^$\ast$. [code]

• Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster, Fenghe Tang^$\dagger$, Wenxin Ma^$\dagger$, Zhiyang He, Xiaodong Tao, Zihang Jiang^$\ast$, S. Kevin Zhou^$\ast$. [code]

• SRS: Siamese Reconstruction-Segmentation Network based on Dynamic-Parameter Convolution, Bingkun Nian^$\dagger$, Fenghe Tang^$\dagger$, Jianrui Ding, Jie Yang, Zhonglong Zheng, S. Kevin Zhou^$\ast$, Wei Liu^$\ast$. IEEE Transactions on Image Processing. (Impact factor=13.7) [code]

• Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings, Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, Qingpeng Kong, Jianrui Ding, Chunping Ning, S. Kevin Zhou^$\ast$. npj Digital Medicine. (Impact factor=15.1) [code]

• CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion, Fenghe Tang, ‪Jianrui Ding‬‬, Quan Quan, Lingtao Wang, Chunping Ning,‪ S. Kevin Zhou^$\ast$‬‬. (Oral) [code]

• CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network, Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding^$\ast$. [code]

AI4S 🧐

• Deep generalizable prediction of RNA secondary structure via base pair motif energy, Heqin Zhu, Fenghe Tang, Quan Quan, Ke Chen, Peng Xiong^$\ast$, S. Kevin Zhou^$\ast$. Nature Communications (Impact factor=15.7) [code]

🏅 Honors and Awards

• National Scholarship for Postgraduates, Chinese Ministry of Education, 2025
• MICCAI 2025 outstanding reviewer award (Honorable Mentions), MICCAI Society, 2025
• Suzhou Industrial Park Scholarship, University of Science and Technology of China, 2024
• Outstanding Master’s Theses, Harbin Institute of Technology, 2023
• National Scholarship for Postgraduates, Chinese Ministry of Education, 2023
• Outstanding Graduate Reward, Harbin Institute of Technology, 2023
• Excellent Developer of MindSpore, HUAWEI, 2022
• Outstanding Graduate Reward, Shandong Province, 2021
• The Grand Prize of CANN, HUAWEI, 2021

📖 Educations

• 2023.09 - (now), Ph.D in Electronic Information, School of BME, University of Science and Technology of China.
• 2021.09 - 2023.06, Master of Computer Technology, School of Computer Science and Technology, Harbin Institute of Technology.
• 2017.09 - 2021.06, Bachelor of Software Engineering, School of Computer Science and Technology, Harbin Institute of Technology.

💬 Professional Services

Conference Reviewers:

• The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025-2026
• ACM International Conference on Multimedia (ACM MM), 2025-2026
• European Conference on Computer Vision (ECCV), 2026
• International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024-2026
• British Machine Vision Conference (BMVC), 2026
• International Symposium on Biomedical Imaging (ISBI), 2026

Journal Reviewers:

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• Medical Image Analysis (MedIA)
• IEEE Journal of Biomedical and Health Informatics (JBHI)
• Expert Systems With Applications (ESWA)
• Knowledge-based Systems (KBS)
• Engineering Applications of Artificial Intelligence (EAAI)
• Neurocomputing
• Computerized Medical Imaging and Graphics (CMIG)

Teaching Assistant:

• 2024 Fall, USTC, Medical Image Computing (BMED6208P.01_152261)

Talks:

• MICS Webinar (20250916)

💻 Internships

• 2025.11 - (now), Alibaba DAMO Academy
• 2021.04 - 2022.04, HUAWEI, Ascend, Mindspore developer.

🙌 Developed contribution

• Benchmarks of Medical Image Segmentation [code]
• Re-Implement SPPNet (Kaiming He .et al-TPAMI 2015) on MindSpore Official Model Zoo [code]