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 and the B. Eng degree from School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang, 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

* indicates equal contribution; ^† indicates corresponding authorship.

            

	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]

Patent

• EEG signal recognition method and process based on deep stack support matrix machine.
  Wenlong Hang,Wei Feng,Shuang Liang.
  CN Patent ZL201910664430.6, 2019.
  

Honors & Awards

• Graduate Scholarship of Nanjing University of Technology, NJTECH (2019)
• National Scholarship of Nanjing University of Technology, NJTECH (2020)
• Excellent Graduate of Nanjing University of Technology, NJTECH (2020)

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.