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

[07/2024] One paper was accepted by Journal of Big Data(IF=10.835).
[02/2024] One paper has been accepted by CVPR 2024, congratulations to Feilong!
[01/2024] One paper has been accepted by iScience.
[09/2023] One paper has been accepted by NeurIPS 2023.
[06/2023] One paper was accepted by MICCAI 2023.
[05/2023] One paper was accepted by Journal of Big Data(IF=10.835).
[12/2022] One paper was accepted by AAAI 2023.
[06/2022] One paper was accepted by Nature Eye.
[06/2022] One paper was accepted by JAMA Neurology(IF=29.91).
[06/2022] One paper was accepted by MICCAI2022.
[06/2020] One paper was accepted by MICCAI2020.
[03/2020] One paper was accepted by CMPB.

Selected Publications

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	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]
	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]
	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]
	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]
	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]
	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]
	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]
	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]
	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]
	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]
	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]
	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

CAS Key Laboratory of Human-Machine Intelligence-Synergy Syetems under Grant No. 2014DP173025, 2019/09–2020/08.
State Key Laboratory Program for Novel Software Technology under Grant No. KFKT2019B10, 2019/06-2021/05.
Key Laboratory of Child Development and Learning Science under Grant No. CDLS-2019-04, 2019/01–2020/12.
National Natural Science Foundation of China under Grant No. 61802177, 2019/01–2021/12.
Natural Science Foundation of the Jiangsu Higher Education Institutions of China under Grant No. 18KJB520020, 2018/09–2020/08.