Name: Qinmu Peng
Academic Title: Lecturer
Email: pengqinmu@hust.edu.cn
Research Interests:
visual computing, machine learning, medical image analysis
Education:
Ph. D degree, Computer Science, Hong Kong Baptist University, 2011- 2015
Employment and Working Experience:
Lecturer, School of Electronic Information and Communications, Huazhong University of Science and Technology, 2019- present
Postdoctoral Researcher at University of Pennsylvania, 2015 - 2018
Selected Publications:
1. A machine-learning-based method to predict adverse events in patients with dilated cardiomyopathy and severely reduced ejection fractions. Shengeli Shu, Ziming Hong, Qinmu Peng, Xiaoyue Zhou, Tianjng Zhang, Jing Wang, Chuansheng Zheng,The British Journal of Radiology, 2021.
2. IAS-NET: Joint Intra-classly Adaptive GAN and Segmentation network for unsupervised cross-domain in Neonatal Brain MRI segmentation.Bo Li, Xinge You, Jing Wang, Qinmu Peng*, Shi Yin,Ruinan Qi, Qianqian Ren, Ziming Hong, Medical Physics, 2021.
3. CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network.Shiming Chen, Wenjie Wang, Beihao Xia, Xinge You, Qinmu Peng, Zehong Cao, Weiping Ding.IEEE Transactions on Evolutionary Computation，2021.
4. Cheng Ding, Weidong Tian, Chao Geng, Xijing Zhu, Qinmu Peng, Zhongqiu Zhao，"Multi-template supervised descent method for face alignment"，Cogn.Syst. Res. 65: 107-117，2021.
5. Yiran Zhang, Yun Yang, Licheng Zhu, Qing Zhu, Yuxi Jia, Lan Zhang, Qinmu Peng, Jiazheng Wang, Jia Liu, Wenliang Fan, Jing Wang，"Volumetric Deficit within the Fronto-limbic-striatal Circuit in First-Episode Drug Naïve Patients with Major Depression Disorder"，Front. Psychiatry, 2021.
6. Tianjia Zhu, Qinmu Peng, Austin Ouyang, Hao Huang，"Neuroanatomical underpinning of diffusion kurtosis measurements in the cerebral cortex of healthy macaque brains."Magnetic Resonance in Medicine，2020.
7. Minhui Ouyang, Qinmu Peng, Tina Jeon, Roy Heyne, Lina Chalak, Hao Huang，"Diffusion-MRI-based regional cortical microstructure at birth for predicting neurodevelopmental outcomes of 2-year-olds"，eLife, 2020.
8. Shi Yin, Qinmu Peng, et al. "Multi-instance deep learning of ultrasound imaging data for pattern classification of congenital abnormalities of the kidney and urinary tract in children." Urology, 2020.
9. Sali Issa, Qinmu Peng and Xinge You，"Emotion classification using EEG brain signals and the broad learning system". IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020.
10. Yue Zhao, Yiu-ming Cheung, Xinge You, Qinmu Peng, Jiangtao Peng, Peipei Yuan, Yufeng Shi, "Hyperspectral Image Classifification via Spatial Window based Multi-view Intact Feature Learning", IEEE Transactions on Geoscience and Remote Sensing, 2020.
11. Qinmu Peng, Minhui Ouyang, Jiaojian Wang, Qinlin Yu, Chenying Zhao, Michelle Slinger, Hongming Li, Yong Fan, Bo Hong and Hao Huang, Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks, Artificial Intelligience in Medicine, 2020.
12. Peipei Yuan, Xinge You, Hong Chen,Qinmu Peng, Yue Zhao, Zhou Xu, Xiao-Yuan Jing and Zhenyu He, "Group sparse additive machine with average top-k loss", Neurocomputing, 10.1016/j.neucom.2020.01.104, 2020.
13. Jiamiao Xu, Fangzhao Wang, Qinmu Peng, Xinge You, Shuo Wang, Xiaoyuan Jing, and C. L. Philip Chen, "Modal regression based structured low-rank matrix recovery for multi-view learning", IEEE Transactions on Neural Networks and Learning Systems, 2020.
14. Shi Yin, Qinmu Peng*, Hongming Li, Zhengqiang Zhang, Xinge You, Katherine Fischer, Susan L. Furth, Gregory E. Tasian, Yong Fan, "Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks". Medical Image Analysis vol. 60,2020.
15. Qinlin Yu, Yun Peng, Huiying Kang, Qinmu Peng, Minhui Ouyang, Michelle Slinger, Di Hu, Haochang Shou, Fang Fang, Hao Huang, "Differential white matter maturation from birth to 8 years of age", Cerebral Cortex, 2020.
16. Yue Zhao, Jiangtao Peng, Yantao Wei, Qinmu Peng, Yi Mou, "Multiple-Feature Latent Space Learning-Based Hyperspectral Image Classification", IEEE Geoscience and Remote Sensing Letters, 2020.
17. Qinmu Peng, Yiu-ming Cheung, "Automatic Video Object Segmentation Based on Visual and Motion Saliency." IEEE Transactions on Multimedia, 2019.
18. Limei Song, Qinmu Peng, Shuwei Liu, Jiaojian Wang, "Changed hub and functional connectivity patterns of the posterior fusiform gyrus in chess experts". Brain imaging and behavior pp. 1-9, 2019 .
19. Minhui Ouyang, Tina Jeon, Aristeidis Sotiras, Qinmu Peng, Virendra Mishra, Cathy Halovanic, Min Chen, Lina Chalak, Nancy Rollins, Timothy P. L. Roberts, Christos Davatzikos, and Hao Huang, "Differential cortical microstructural maturation in the preterm human brain with diffusion kurtosis and tensor imaging". PNAS , 2019 .
20. Lei Feng, Hang Li, Kenichi Oishi, Virendra Mishra, Limei Song, Qinmu Peng, Minhui Ouyang Jiaojian Wang, Michelle Slinger, Tina Jeon, Lizette Lee, Roy Heyne, Lina Chalak, Yun Peng, Shuwei Liu, and Hao Huang, "Age-specific gray and white matter DTI atlas for human brain at 33, 36 and 39 postmenstrual weeks", Neuroimage, 2018.
21. Zhao T, Mishra V, Jeon T, Ouyang M, Peng Q, Chalak L, Wisnowski J, Heyne R, Rollins N, Shu N, and Huang H. "Structural network maturation of the preterm human brain". NeuroImage，2018.
22. Limei Song, Virendra Mishra, Minhui Ouyang, Qinmu Peng, Michelle Slinger, Shuwei Liu, Hao Huang, "Human fetal brain connectome: structural network development from middle fetal stage to birth". Frontier in Neuroscience, 2017.
23. Lei Feng, Tina Jeon, Qiaowen Yu, Minhui Ouyang, Qinmu Peng, Virendra Mishra, Mihovil Pletikos, Nenad Sestan, Michael I. Miller, Susumu Mori, Steven Hsiao, Shuwei Liu, Hao Huang, "Population-averaged macaque brain atlas with high-resolution ex vivo DTI integrated into in vivo space", Brain Structure and Function, 2017.
24.Yiu-ming Cheung, Meng Li, Qinmu Peng, C. L. Philip Chen, "A cooperative learning-based clustering approach to lip segmentation without knowing segment number". IEEE Trans. Neural Network. Learning Syst. 28(1): 80-93, 2017.
25. Xin Liu, Lu Xie, Bineng Zhong, Jixiang Du,Qinmu Peng, "Automatic facial flaw detection and retouching via discriminative structure tensor". IET Image Processing, 2017.
26. Qinmu Peng, Yiu-ming Cheung, "A hybrid of local and global saliencies for detecting image saliency region and appearance". IEEE Transactions on Systems, Man, and Cybernetics: Systems 47(1):86-97, 2017.
27. Yiu-ming Cheung, Qinmu Peng, "Eye gaze tracking with a web camera in a desktop environment". IEEE Transactions on Human-Machine Systems, 45(4): 419-430, 2015.
28. Qinmu Peng and Yiu-ming Cheung, "Outlier detection based on local kernel regression for instance selection". International Journal of Computational Intelligence Systems, 7(4): 748-757, 2014.
29. Xin Liu, Yiu-ming Cheung, Shu-juan Peng, Qinmu Peng, "Automatic mitral valve leaflet tracking in Echocardiography via constrained outlier pursuit and region-scalable active contours", Neurocomputing, 144: 47-57, 2014.
30. Jiajia Lei, Qinmu Peng, Xinge You, Hiyam Hatem Jabbar, Patrick Shen-Pei Wang, "Fingerprint enhancement based on wavelet and anisotropic filtering". International Journal of Pattern Recognition and Artificial Intelligence, 26(1), 2012.
31. Xinge You, Qinmu Peng, Yuan Yuan, Yiu-ming Cheung, Jiajia Lei, "Segmentation of retinal blood vessels using the radial projection and semi-supervised approach". Pattern Recognition, vol .44, no. (10-11), 2314-2324, 2011.
Technical Reviewer for International Journals
IEEE Transactions Neural Network. Learning Syst.
IEEE Transactions on Systems, Man, and Cybernetics.
Pattern Recongnition
International Journal of Computational Intelligence Systems
Neuroimage
Frontier
