😊About Me

• I am a PhD student of the University of Science and Technology of China (USTC) supervised by Prof. S. Kevin Zhou. And I focus on LVM, Medical Image Processing, 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.
• Hobbies: 🎞️🏀🀄🃏🍔

🔥 News

• 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).
• 2024.02:  One paper accepted to ISBI-24 (Oral).
• 2023.02:  One paper accepted to ISBI-23.

📝 Publications

Self-supervised learning

• MICCAI'24 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.

• arXiv'24 MambaMIM: Pre-training Mamba with State Space Token-interpolation

  Fenghe Tang*, Bingkun Nian, Yingtai Li, Jie Yang, ‪Wei Liu, S. Kevin Zhou.

Foundation model

• MIDL'24 Slide-SAM: Medical SAM Meets Sliding Window (Oral)

  Quan Quan*, Fenghe Tang*, Zikang Xu, Heqin Zhu, S. Kevin Zhou.

Medical Image Segmentation

• ISBI'24 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.

• ISBI'23 CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network

  Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, ‪Jianrui Ding‬‬.

• arXiv'23 MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation

  Fenghe Tang*, Bingkun Nian*, ‪Jianrui Ding‬‬, Quan Quan, Jie Yang, ‪Wei Liu, ‪S. Kevin Zhou‬‬.

• arXiv'23 SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution

  Bingkun Nian*, Fenghe Tang*, ‪Jianrui Ding‬‬, ‪Pingping Zhang‬, Jie Yang, ‪S. Kevin Zhou‬‬, ‪Wei Liu.

• arXiv'23 Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model

  Fenghe Tang, ‪Jianrui Ding‬‬, Lingtao Wang, Min Xian, Chunping Ning.

Others (Transfer learning, fairness, medical and financial detection, etc)

• NPL A Novel Distant Domain Transfer Learning Framework for Thyroid Image Classification

  Fenghe Tang, Lingtao Wang, Chunping Ning, ‪Jianrui Ding‬‬. Neural Processing Letters, 2023

• arXiv'24 APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation

  Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, ‪S. Kevin Zhou‬‬.

• arXiv'23 Inspecting Model Fairness in Ultrasound Segmentation Tasks

  Zikang Xu, Fenghe Tang, Quan Quan, ‪Jianrui Ding‬‬, Chunping Ning, ‪S. Kevin Zhou‬‬.

• Ultrasound Image Lesion Detection Algorithm Optimized by Feature Feedback Mechanism

  Lingtao Wang, ‪Jianrui Ding‬‬, Fenghe Tang, Chunping Ning. Journal of Electronics & Information Technology, 2023

• Ultrasound Image Super-Resolution with Two-Stage Zero-Shot CycleGAN

  ‪Jianrui Ding‬‬, Shili Zhao, Fenghe Tang, Chunping Ning. Journal of Physics: Conference Series, 2021

• Study on Financial Fraud Account Detection Based on Imbalanced Datasets

  Fang Lv, Fenghe Tang, Junheng Huang, B Wang. Computer Engineering, 2021

• Frequent path discovery algorithm for financial network

  Fang Lv, Fenghe Tang, Junheng Huang, B Wang. Chinese Journal of Network and Information Security, 2019

🏅 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:

• 2024: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2024)

💻 Internships

• 2021.04 - 2022.04, HUAWEI, Ascend, Mindspore developer.

🙌 Developed contribution

• Benchmarks of Medical image segmentation
• open-source SPPNet with MindSpore