😊About Me
- I am a PhD student at the University of Science and Technology of China (USTC) supervised by Prof. S. 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 20+ papers at top conferences and journals with citations
- Hobbies: 🎞️🏀🀄🃏🍔
🔥 News
Find collaborators on foundation model & medical image segmentation, feel free to contact me at fhtan9@mail.ustc.edu.cn 😎🥰🤗🤗🤗
- 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
Self-supervised learning & Foundation model 💪
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MambaMIM: Pre-training Mamba with State Space Token-interpolation and its Application to Medical Image Segmentation
Fenghe Tang*, Bingkun Nian*, Yingtai Li*, Jie Yang, Wei Liu, S. Kevin Zhou. [paper] [code]
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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, S. Kevin Zhou. [paper] [code]
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HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training (Early Accept)
Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou. [pape] [code]
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Slide-SAM: Medical SAM Meets Sliding Window (Oral, Best Oral Paper Finalists)
Quan Quan*, Fenghe Tang*, Zikang Xu, Heqin Zhu, S. Kevin Zhou. [paper] [code]
Medical Image Segmentation 🫀🫁🧠
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Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation
Fenghe Tang, Bingkun Nian, Jianrui Ding, Wenxin Ma, Quan Quan, Chengqi Dong, Jie Yang, Wei Liu, S. Kevin Zhou.
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Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
Fenghe Tang, Wenxin Ma, Zhiyang He, Xiaodong Tao, Zihang Jiang, S. Kevin Zhou. [paper] [code]
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CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion (Oral)
Fenghe Tang, Jianrui Ding, Quan Quan, Lingtao Wang, Chunping Ning, S. Kevin Zhou. [paper] [code]
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CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network
Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding. [paper] [code]
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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. [paper] [code]
AI4S 🧐
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Deep generalizable prediction of RNA secondary structure via base pair motif energy
Heqin Zhu, Fenghe Tang, Quan Quan, Ke Chen, Peng Xiong, S. Kevin Zhou. [paper] [code]
More publications are available at: Google Scholar
🏅 Honors and Awards
- 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 of 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
- ACM International Conference on Multimedia (ACM MM), 2025
- International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024-2025
Teaching Assistant:
- 2024 Fall, USTC, Medical Image Computing (BMED6208P.01_152261)
💻 Internships
- 2021.04 - 2022.04, HUAWEI, Ascend, Mindspore developer.