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Dr. YUAN Yixuan

Assistant Professor

Contact Information

Office: G6361 AC1
Phone: +(852)-3442-7803
Email: yxyuan.ee@cityu.edu.hk
Web: Personal Homepage

Research Interests

  • Deep learning
  • Medical image classification
  • Object detection and segmentation
  • Object tracking

Others

  • https://scholar.google.com.au/citations?hl=en&user=Aho5Jv8AAAAJ&view_op=list_works&sortby=pubdate
Yixuan YUAN is an Assistant Professor in the Department of Electronic Engineering, City University of Hong Kong (CityU) since April 2018. Before joining CityU, she was a postdoctoral fellow at Stanford University. She received the BEng. degree in information Countermeasure from Northwestern Polytechnical University, Xi’an, China, in 2010, and the Ph.D. degree from the Department of Electronic Engineering at the Chinese University of Hong Kong, in 2016. During 2010-2012, she conducted research on the brain imaging area in the lab of pattern recognition and intelligent system in Northwestern Polytechnical University. Her research interests is precision medicine with machine learning, such as image classification, object detection and segmentation, object tracking.


Award and Achievement

  • Dec 2017 “Young Scientist Award in Engineering” the Hong Kong Institute of Science.
  • Jun 2017 “School of Medicine Dean's Postdoctoral Fellowship ” Stanford University.
  • Nov 2015 “Student Research Award” Medical and Healthcare Device Industries Association in Hong Kong.
  • May 2014 “Global Scholarship Programme for Research Excellence Award” Chinese Univeristy of Hong Kong.
  • Apr 2014 “Overseas Research Attachment Programme Award” Chinese Univeristy of Hong Kong.
  • Aug 2013 “ Toshio Fukuda Best Paper in Mechatronics ” IEEE International Conference on Mechatronics and Automation.
  • Feb 2012 “Hong Kong PhD Fellowship Scheme” Research Grants Council (RGC) of Hong Kong.


Publication Show All Publications Show Prominent Publications


Journal

  • Yuan, Yixuan. , Li, Dengwang. & Meng, Max, Q.-H. (in press). Automatic Polyp Detection via A Novel Unified Bottom-up and Top-down Saliency Approach. IEEE Journal of Biomedical and Health Informatics. doi:10.1109/JBHI.2017.2734329
  • Yuan, Yixuan. , Yao, Xiwen. , Han, Junwei. , Guo, Lei. & Meng, Max Q.-H. (in press). Discriminative Joint-feature Topic Model with Dual Constraints for WCE Classification. IEEE Transaction on Cybernetics. doi:10.1109/TCYB.2017.2726818
  • Qin, Wenjian. , Wu, Jia. , Han, Fei. , Yuan, Yixuan. , Zhao, Wei. , Ibragimov, Bulat. , Gu, Jia. & Xing, Lei. (2018). Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation. Physics in Medicine and Biology.
  • Yuan, Yixuan. & Meng, Max Q.-H. (2017). Deep Learning for Polyp Recognition in Wireless Capsule Endoscopy Images. Medical Physics. 44(4). 1379 - 1389.
  • Yuan, Yixuan. , Li, Baopu. & Meng, Max Q.-H. (2017). WCE Abnormality Detection based on Saliency and Adaptive Locality-constrained Linear Coding. IEEE Transactions on Automation Science and Engineering. 14(1). 149 - 159.
  • Yuan, Yixuan. , Li, Baopu. & Meng, Max Q.-H. (2016). Bleeding Frame and Region Detection in the Wireless Capsule Endoscopy Video. IEEE Journal of Biomedical and Health Informatics. 20(2). 624 - 630.
  • Yuan, Yixuan. , Li, Baopu. & Meng, Max Q.-H. (2016). Improved Bag of Feature for Automatic Polyp Detection in Wireless Capsule Endoscopy Images. IEEE Transactions on Automation Science and Engineering. 13(2). 529 - 535.
  • Yuan, Yixuan. , Wang, Jiaole. , Li, Baopu. & Meng, Max Q.-H. (2015). Saliency based Ulcer Detection for Wireless Capsule Endoscopy Diagnosis. IEEE Transactions on Medical Imaging. 34(10). 2046 - 2057.
  • Yuan, Yixuan. & Meng, Max Q.-H. (2014). Hierarchical Key Frame Extraction for Wireless Capsule Endoscopy Video Based on the Saliency Map. International Journal of Mechatronics and Automation. 33(5). 1002 - 1013.
  • Chen, Hanbo. , Zhu, Dajiang. , Zhu, Dajiang. , Jiang, Xi. , Yuan, Yixuan. , Lv, Peili. , Zhang, Tuo. , Guo, Lei. , Shen, Dinggang. & Liu, Tianming. (2013). Inferring Group-wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering. IEEE Transactions on Medical Imaging. 32(9). 1576 - 1586.
  • Yuan, Yixuan. , Jiang, Xi. , Zhu, Dajiang. , Chen, Hanbo. , Li, Kaiming. , Lv, Peili. , Yu, Xiang. , Li, Xiaojing. , Zhang, Shu. , Zhang, Tuo. , Hu, Xintao. , Han, Junwei. , Guo, Lei. & Liu, Tianming. (2013). Meta-Analysis of Functional Roles of DICCCOLs. Neuroinformatics:47-63, 2013. 11(1). 47 - 63.


Last update date : 20 Jul 2018