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Fenghe Tang
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2020 – today
- 2026
[j5]Fenghe Tang
, Qingsong Yao
, Wenxin Ma, Chenxu Wu, Zihang Jiang
, S. Kevin Zhou
:
Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation. Medical Image Anal. 107: 103770 (2026)- 2025
[j4]Fenghe Tang
, Bingkun Nian, Yingtai Li, Zihang Jiang
, Jie Yang, Wei Liu
, S. Kevin Zhou
:
MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation. Medical Image Anal. 103: 103606 (2025)
[j3]Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, Qingpeng Kong, Jianrui Ding, Chunping Ning, S. Kevin Zhou:
Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings. npj Digit. Medicine 8(1) (2025)
[j2]Bingkun Nian
, Fenghe Tang
, Jianrui Ding, Jie Yang
, Zhonglong Zheng
, Shaohua Kevin Zhou
, Wei Liu
:
SRS: Siamese Reconstruction-Segmentation Network Based on Dynamic-Parameter Convolution. IEEE Trans. Image Process. 34: 6318-6330 (2025)
[c9]Wenxin Ma, Xu Zhang, Qingsong Yao, Fenghe Tang, Chenxu Wu, Yingtai Li, Rui Yan, Zihang Jiang, S. Kevin Zhou:
AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP. CVPR 2025: 4744-4754
[c8]Fenghe Tang, Wenxin Ma, Zhiyang He, Xiaodong Tao, Zihang Jiang, Shaohua Kevin Zhou:
Pre-trained LLM is a Semantic-Aware and Generalizable Segmentation Booster. MICCAI (10) 2025: 402-412
[c7]Rongsheng Wang, Fenghe Tang, Qingsong Yao, Rui Yan, Xu Zhang, Zhen Huang, Haoran Lai, Zhiyang He, Xiaodong Tao, Zihang Jiang, S. Kevin Zhou:
SimCroP: Radiograph Representation Learning with Similarity-Driven Cross-Granularity Pre-training. MICCAI (5) 2025: 563-573
[c6]Hongbo Ye, Fenghe Tang, Peiang Zhao, Zhen Huang, Dexin Zhao, Minghao Bian, Shaohua Kevin Zhou:
U-RWKV: Lightweight Medical Image Segmentation with Direction-Adaptive RWKV. MICCAI (11) 2025: 613-623
[i20]Fenghe Tang, Qingsong Yao, Wenxin Ma, Chenxu Wu, Zihang Jiang, S. Kevin Zhou:
Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation. CoRR abs/2502.08347 (2025)
[i19]Wenxin Ma
, Xu Zhang, Qingsong Yao, Fenghe Tang, Chenxu Wu, Yingtai Li, Rui Yan, Zihang Jiang, S. Kevin Zhou:
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP. CoRR abs/2503.06661 (2025)
[i18]Fenghe Tang, Wenxin Ma, Zhiyang He, Xiaodong Tao, Zihang Jiang, S. Kevin Zhou:
Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster. CoRR abs/2506.18034 (2025)
[i17]Hongbo Ye, Fenghe Tang, Peiang Zhao, Zhen Huang, Dexin Zhao, Minghao Bian, S. Kevin Zhou:
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV. CoRR abs/2507.11415 (2025)
[i16]Chengqi Dong, Fenghe Tang, Rongge Mao, Xinpei Gao, S. Kevin Zhou:
LGMSNet: Thinning a medical image segmentation model via dual-level multiscale fusion. CoRR abs/2508.15476 (2025)
[i15]Rongsheng Wang, Fenghe Tang, Qingsong Yao, Rui Yan, Xu Zhang, Zhen Huang, Haoran Lai, Zhiyang He, Xiaodong Tao, Zihang Jiang, Shaohua Kevin Zhou:
SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training. CoRR abs/2509.08311 (2025)
[i14]Fenghe Tang, Chengqi Dong, Wenxin Ma, Zikang Xu, Heqin Zhu, Zihang Jiang, Rongsheng Wang, Yuhao Wang, Chenxu Wu, Shaohua Kevin Zhou:
U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking. CoRR abs/2510.07041 (2025)
[i13]Yifan Li, Fenghe Tang, Yingtai Li, Shaohua Kevin Zhou:
MedReason-R1: Learning to Reason for CT Diagnosis with Reinforcement Learning and Local Zoom. CoRR abs/2510.19626 (2025)- 2024
[c5]Fenghe Tang
, Jianrui Ding, Quan Quan, Lingtao Wang, Chunping Ning, S. Kevin Zhou:
CMUNEXT: An Efficient Medical Image Segmentation Network Based on Large Kernel and Skip Fusion. ISBI 2024: 1-5
[c4]Xueming Fu
, Yingtai Li, Fenghe Tang, Jun Li, Mingyue Zhao, Gao-Jun Teng, S. Kevin Zhou:
3DGR-CAR: Coronary Artery Reconstruction from Ultra-sparse 2D X-Ray Views with a 3D Gaussians Representation. MICCAI (7) 2024: 14-24
[c3]Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou:
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training. MICCAI (11) 2024: 330-340
[c2]Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou:
Slide-SAM: Medical SAM Meets Sliding Window. MIDL 2024: 1179-1195
[i12]Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, S. Kevin Zhou:
APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation. CoRR abs/2403.05114 (2024)
[i11]Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou:
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training. CoRR abs/2408.05815 (2024)
[i10]Fenghe Tang, Bingkun Nian, Yingtai Li, Jie Yang, Liu Wei, S. Kevin Zhou:
MambaMIM: Pre-training Mamba with State Space Token-interpolation. CoRR abs/2408.08070 (2024)
[i9]Xueming Fu, Yingtai Li, Fenghe Tang, Jun Li, Mingyue Zhao, Gao-Jun Teng, S. Kevin Zhou:
3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation. CoRR abs/2410.00404 (2024)- 2023
[j1]Fenghe Tang
, Jianrui Ding, Lingtao Wang, Chunping Ning:
A Novel Distant Domain Transfer Learning Framework for Thyroid Image Classification. Neural Process. Lett. 55(3): 2175-2191 (2023)
[c1]Fenghe Tang
, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding:
CMU-NeT: A Strong Convmixer-Based Medical Ultrasound Image Segmentation Network. ISBI 2023: 1-5
[i8]Fenghe Tang, Jianrui Ding, Lingtao Wang, Min Xian, Chunping Ning:
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model. CoRR abs/2305.09447 (2023)
[i7]Lingtao Wang, Jianrui Ding, Fenghe Tang, Chunping Ning:
Thinking Twice: Clinical-Inspired Thyroid Ultrasound Lesion Detection Based on Feature Feedback. CoRR abs/2305.15114 (2023)
[i6]Fenghe Tang, Jianrui Ding, Lingtao Wang, Chunping Ning, S. Kevin Zhou:
CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion. CoRR abs/2308.01239 (2023)
[i5]Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou:
Slide-SAM: Medical SAM Meets Sliding Window. CoRR abs/2311.10121 (2023)
[i4]Fenghe Tang, Bingkun Nian, Jianrui Ding, Quan Quan, Jie Yang, Wei Liu, S. Kevin Zhou:
MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation. CoRR abs/2312.01740 (2023)
[i3]Bingkun Nian, Fenghe Tang, Jianrui Ding, Pingping Zhang, Jie Yang, S. Kevin Zhou, Wei Liu:
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution. CoRR abs/2312.01741 (2023)
[i2]Zikang Xu, Fenghe Tang, Quan Quan, Jianrui Ding, Chunping Ning, S. Kevin Zhou:
Inspecting Model Fairness in Ultrasound Segmentation Tasks. CoRR abs/2312.02501 (2023)- 2022
[i1]Fenghe Tang
, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding:
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network. CoRR abs/2210.13012 (2022)
Coauthor Index
aka: S. Kevin Zhou

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last updated on 2025-11-17 00:02 CET by the dblp team
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