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Wei Feng 0015
Person information
- affiliation: Monash University, Faculty of Engineering, Monash Medical AI Group, AIM Lab, Melbourne, Australia
- affiliation: Beijing Airdoc Technology Co., Ltd., Beijing, China
Other persons with the same name
- Wei Feng — disambiguation page
- Wei Feng 0001
— Tsinghua University, Department of Electronic Engineering, TNList, Beijing, China - Wei Feng 0002
— Chicago Transit Authority, IL, USA - Wei Feng 0003
— Tianjin University, State Key Laboratory of Precision Measuring Technology and Instruments, China - Wei Feng 0004
— Xidian University, School of Electronic Engineering, Xi'an, China (and 2 more) - Wei Feng 0005
— Tianjin University, School of Computer Science and Technology, China (and 1 more) - Wei Feng 0006
— Chinese Academy of Sciences, Institute of Geodesy and Geophysics, Wuhan, China (and 1 more) - Wei Feng 0007
— Tsinghua University, Department of Electrical Engineering, State Key Lab of Power Systems, Beijing, China (and 1 more) - Wei Feng 0008
— Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China - Wei Feng 0009
— Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Guangdong Provincial Key Lab of Robotics and Intelligent Systems, China (and 1 more) - Wei Feng 0010
— Xi'an Jiaotong University, School of Computer Science and Technology, China (and 1 more) - Wei Feng 0011
— Hefei University of Technology, School of Electrical Engineering and Automation, China (and 1 more) - Wei Feng 0012 — Chongqing University, College of Automation, China (and 3 more)
- Wei Feng 0013
— Henan Agricultural University, National Engineering Research Center for Wheat, Zhengzhou, China (and 1 more) - Wei Feng 0014
— Hangzhou Dianzi University, School of Communication Engineering, China (and 1 more) - Wei Feng 0016
— Chinese Academy of Sciences, National Laboratory of Pattern Recognition, MAIS, Institute of Automation, Beijing, China (and 1 more)
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2020 – today
- 2026
[i11]Zhonghua Wang, Lie Ju, Sijia Li, Wei Feng, Sijin Zhou, Ming Hu, Jianhao Xiong, Xiaoying Tang, Yifan Peng, Mingquan Lin, Yaodong Ding, Yong Zeng, Wenbin Wei, Li Dong, Zongyuan Ge:
A General Model for Retinal Segmentation and Quantification. CoRR abs/2602.07012 (2026)- 2025
[j5]Wei Feng
, Sijin Zhou
, Yiwen Jiang
, Feilong Tang, Zongyuan Ge
:
Neighbor-Guided Unbiased Framework for Generalized Category Discovery in Medical Image Classification. IEEE J. Biomed. Health Informatics 29(8): 5736-5747 (2025)
[c8]Yiwen Jiang, Deval Mehta, Wei Feng, Zongyuan Ge:
Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models. ACL (1) 2025: 12285-12297
[c7]Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zile Huang, Haochen Xue, Ziyang Chen, Zelin Peng, Zhiwei Yang, Sijin Zhou, Wenxue Li
, Yulong Li, Wenxuan Song, Shiyan Su, Wei Feng, Jionglong Su, Mingquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge:
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. CVPR 2025: 26147-26159
[i10]Yiwen Jiang, Deval Mehta, Wei Feng, Zongyuan Ge:
Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models. CoRR abs/2506.01334 (2025)
[i9]Wei Feng, Zongyuan Ge:
Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective. CoRR abs/2511.00573 (2025)- 2024
[j4]Wei Feng, Bingjie Wang, Dan Song, Mengda Li, Anming Chen, Jing Wang, Siyong Lin, Yiran Zhao, Bin Wang, Zongyuan Ge
, Shuyi Xu, Yuntao Hu:
Development and evaluation of a deep learning model for automatic segmentation of non-perfusion area in fundus fluorescein angiography. J. Big Data 11(1): 131 (2024)
[c6]Feilong Tang, Zhongxing Xu, Zhaojun Qu, Wei Feng, Xingjian Jiang, Zongyuan Ge
:
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation. CVPR 2024: 3324-3334
[c5]Lie Ju, Yicheng Wu, Wei Feng, Zhen Yu, Lin Wang, Zhuoting Zhu, Zongyuan Ge
:
Universal Semi-supervised Learning for Medical Image Classification. MICCAI (12) 2024: 355-365
[i8]Feilong Tang, Zhongxing Xu, Zhaojun Qu, Wei Feng, Xingjian Jiang, Zongyuan Ge:
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation. CoRR abs/2403.07630 (2024)- 2023
[j3]Lin Wang
, Xiufen Ye
, Lie Ju
, Wanji He, Donghao Zhang, Xin Wang, Yelin Huang, Wei Feng, Kaimin Song, Zongyuan Ge
:
Medical matting: Medical image segmentation with uncertainty from the matting perspective. Comput. Biol. Medicine 158: 106714 (2023)
[j2]Wei Feng, Meihan Duan, Bingjie Wang, Yu Du, Yiran Zhao, Bin Wang, Lin Zhao, Zongyuan Ge
, Yuntao Hu:
Automated segmentation of choroidal neovascularization on optical coherence tomography angiography images of neovascular age-related macular degeneration patients based on deep learning. J. Big Data 10(1): 111 (2023)
[c4]Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Zhao, Zongyuan Ge
:
Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment. AAAI 2023: 623-631
[c3]Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Zongyuan Ge
:
Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering. MICCAI (6) 2023: 24-33
[c2]Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge:
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding. NeurIPS 2023
[i7]Lie Ju, Yicheng Wu, Wei Feng, Zhen Yu, Lin Wang, Zhuoting Zhu, Zongyuan Ge
:
Towards Open-Scenario Semi-supervised Medical Image Classification. CoRR abs/2304.04059 (2023)
[i6]Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Zongyuan Ge:
Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering. CoRR abs/2309.16451 (2023)
[i5]Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge:
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding. CoRR abs/2310.13347 (2023)- 2022
[j1]Lin Wang
, Xiufen Ye
, Donghao Zhang, Wanji He, Lie Ju
, Yi Luo, Huan Luo, Xin Wang
, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge
:
3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography. Comput. Biol. Medicine 150: 106153 (2022)
[c1]Wei Feng, Lin Wang
, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge
:
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization. MICCAI (2) 2022: 497-506
[i4]Wei Feng, Lin Wang
, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge:
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization. CoRR abs/2207.03684 (2022)
[i3]Lin Wang
, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge:
3D Matting: A Soft Segmentation Method Applied in Computed Tomography. CoRR abs/2209.07843 (2022)
[i2]Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge:
3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography. CoRR abs/2210.05104 (2022)- 2021
[i1]Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, Zongyuan Ge:
Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization. CoRR abs/2108.01821 (2021)
Coauthor Index
aka: Zongyuan Ge

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last updated on 2026-03-28 22:38 CET by the dblp team
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