Qinmu Peng
Assistant Professor
Qinmu Peng is
currently an Assistant Professor with the School of Electronic Information and
Communications, Huazhong University of Science and Technology, Wuhan, Hubei,
China. Dr. Peng received his PhD degree in Computer Science from Hong Kong
Baptist University in 2015 and was a postdoctoral researcher at University of
Pennsylvania from 2015 to 2018. His research interests include visual
computing, machine learning and medical image analysis. He has published more
than 40 research articles and obtained 20 Chinese patents and one US patent.
Address：Room 205,
National Anti-counterfeit Engineering Research Center, HUST.
Email: pengqinmu@hust.edu.cn
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.
1. Yufeng Shi, Xinge You, Feng
Zheng, Shuo Wang, Qinmu Peng. “Equally-Guided
Discriminative Hashing for Cross-modal Retrieval”. IJCAI 2019.
2. Qinmu Peng, Liu R, Ouyang M, Zhao C, Fan X, Hong B, Hao Huang, “Dynamic parcellation of
cortical functional networks in developing preterm brains”. ISMRM 2017. (Oral)
3. Qinmu Peng, King Kevin, Minhui Ouyang,
Hanzhang Lu, Hao Huang, Mapping of cerebral cortical microstructure characterized by
non-gaussian water diffusion in aging" ISMRM 2017
(oral).
4. Qinmu Peng, King Kevin, Minhui Ouyang, Hanzhang Lu, Hao Huang, "Aging effects on kurtosis measures of limbic and
association white matter tracts". ISMRM 2017.
5. Zhong-Qiu Zhao, Kewen Cheng, Qinmu Peng, Xindong Wu, “A real-time head pose
estimation using adaptive posit based on modified supervised descent method”. ICIC 2016: 74-85
6. Yiu-ming Cheung, Qinmu
Peng, "Salient region detection using local and global saliency". ICPR 2012:
210-213
7. Weihua Ou, Xinge You, Yiu-ming Cheung, Qinmu Peng, Mingming Gong, Xiubao Jiang,"Structured sparse coding for
image representation based on L1-graph". ICPR 2012.
8. Qinmu Peng, Yiu-ming Cheung, "Sample
Outlier Detection Based on Local Kernel Regression". Web Intelligence 2012:
664-668
9. Qinmu Peng, Xinge You, Long Zhou, Yiu-ming Cheung,“Retinal
Blood Vessels Segmentation Using the Radial Projection and Supervised
Classification". ICPR 2010: 1489-1492
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