Wei Feng

PhD candidate

Faculty of Engineering
Monash University

ADDr:Building 73, Monash University, Clayton, Victoria 3800 Australia
Email: wf02429@gmail.com


Biography

I am a second-year Ph.D student in Monash Medical AI Group (MMAI) at Monash University under the supervision of A/Prof. Zongyuan Ge. Before that, I got the Master degree in the Department of Computer Science and Technology, Nanjing Tech University, Nanjing, China.

My research interest lies in medical image analysis, EEG signal processing and deep learning, for improving the public healthcare & medical diagnosis with machine intelligence. Recently, I am exploring model generalization and robustness for wide applicability of AI models in complex clinical environments.

News

Selected Publications

            
spotlight_jenga Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering.
Wei Feng, Lie Ju,Lin Wang,Kaimin Song, Zongyuan Ge.
Medical Image Computing and Computer Assisted Intervention(MICCAI), 2023.

[paper]

spotlight_jenga Automated segmentation of choroidal neovascularization on optical coherence tomography angiography images of neovascular age-related macular degeneration patients based on deep learning.
Wei Feng, Meihan Duan, Bingjie Wang, Yu Du, Yiran Zhao,Bin Wang, Lin Zhao, Zongyuan Ge, Yuntao Hu.
Journal of Big Data, 2023.

[paper][code]

spotlight_jenga Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraint and Adaptive Semantic Alignment.
Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Zhao, Zongyuan Ge.
Association for the Advancement of Artificial Intelligence(AAAI), 2023.

[paper][code]

spotlight_jenga Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization.
Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge.
Medical Image Computing and Computer Assisted Intervention(MICCAI), 2022.

[paper][code]

spotlight_jenga Development and Validation of a Deep Learning Model for Predicting Treatment Response in Patients With Newly Diagnosed Epilepsy.
Haris Hakeem, Wei Feng*, Zhibin Chen, Jiun Choong, Martin J Brodie, Si-Lei Fong, Kheng-Seang Lim, Junhong Wu, Xuefeng Wang, Nicholas Lawn, Guanzhong Ni, Xiang Gao, Mijuan Luo, Ziyi Chen, Zongyuan Ge, Patrick Kwan.
JAMA neurology, 2022.

[paper]

spotlight_jenga Artificial intelligence to distinguish retinal vein occlusion patients using color fundus photographs.
Xiang Ren, Wei Feng*, Ruijin Ran, Yunxia Gao, Yu Lin, Xiangyu Fu, Yunhan Tao, Ting Wang, Bin Wang, Lie Ju, Yuzhong Chen, Lanqing He, Wu Xi, Xiaorong Liu, Zongyuan Ge, Ming Zhang.
Nature Eye, 2022.

[paper]

spotlight_jenga Medical matting: Medical image segmentation with uncertainty from the matting perspective.
Lin Wang, Xiufen Ye, Lie Ju, Wanji He, Donghao Zhang, Xin Wang, Yelin Huang, Wei Feng, Kaimin Song, Zongyuan Ge.
Computers in Biology and Medicine (CIBM), 2022.

[paper ] [code]

spotlight_jenga 3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography.
Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge.
Computers in Biology and Medicine (CIBM), 2022.

[paper] [code]

spotlight_jenga Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation.
Wenlong Hang*, Wei Feng*, Shuang Liang, Lequan Yu, Qiong Wang, Kup-Sze Choi, Jing Qin.
Medical Image Computing and Computer Assisted Intervention(MICCAI), 2020.

[paper][code]

spotlight_jenga Deep Stacked Support Matrix Machine Based Representation Learning for Motor Imagery EEG Classification.
Wenlong Hang, Wei Feng, Shuang Liang, Qiong Wang, Xuejun Liu, Kup-Sze Choi.
Computer Methods and Programs in Biomedicine(CMPB), 2020.

[paper]

spotlight_jenga Cross-subject EEG signal recognition using deep domain Adaptation network.
Wenlong Hang, Wei Feng, Ruoyu Du, Shuang Liang, Yan Chen, Qiong Wang, Xuejun Liu.
IEEE Access(IEEE Access), 2019.

[paper]

spotlight_jenga Deep Stack Least Square Classifier with Inter-Layer Model Knowledge Transfer.
Wei Feng, Wenlong Hang, Shuang Liang,Xuejun Liu,Hui Wang.
Journal of Computer Research and Development(JCRD), 2019.

[paper]

Professional Activities

  • Conference Reviews:
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR’22-23)
    AAAI Conference on Artificial Intelligence (AAAI’22-23)
    Conference on Neural Information Processing Systems (NIPS’23-24)
    IEEE International Conference on Computer Vision (ICCV’23, ICCV'22)
    Medical Image Computing and Computer Assisted Intervention (MICCAI’20-24)
    International Joint Conference on Neural Networks (IJCNN’23-24)
    Medical Imaging with Deep Learning (MIDL’23)
    European Conference on Computer Vision (ECCV’23)
    International Conference on Machine Learning (ICML’24)

  • Journal Reviews:
    IEEE Transactions on Medical Imaging (TMI)
    Medical Image Analysis (MedIA)
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    IEEE Journal of Biomedical and Health Informatics (JBHI)
    Pattern Recognition
    Neurocomputing
    Artificial Intelligence in Medicine
    Computer Methods and Programs in Biomedicine (CMPB)


  • Projects