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Biography [CV]

I am currently a Ph.D. student in the Department of Electronic Engineering, The Chinese University of Hong Kong (CUHK), supervised by Prof. Max Q.-H. Meng. Before that, I received the B. Eng. degree in the Department of Control Science and Engineering from Shandong University in 2014. I worked with Prof. Wei Zhang for undergraduate research.

My research focuses on the development of novel AI strategies for medical image analysis. Recently, I am working on deep learning-driven neural networks for lesion diagnosis in endoscopic images.


News

  • [08/2019] One paper is accepted to European Urology.
  • [07/2019] One paper is accepted to IROS'19.
  • [06/2019] One paper is accepted to Medical Physics.
  • [02/2019] The abstract that we submitted has been accepted at the American Urological Association meeting in Chicago on 5/5 and selected as a plenary talk. [link]
  • [08/2018] I started my exchange in Xing Laboratory at Stanford Medicine School, CA, USA.
  • [07/2018] I received the award under the Global Scholarship Programme for Research Excellence for 2018-19.
  • [05/2018] One paper is accepted to EMBC'18.

Selected Publications

For a complete list, please check my Google Scholar or ResearchGate.

LBA-20 Automated Cystoscopic Detection of Bladder Cancer Using Deep-Learning.
Eugene Shkolyar, Xiao Jia, Lei Xing, and Joseph Liao [paper]
The Journal of Urology, 2019.

Gastrointestinal Bleeding Detection in Wireless Capsule Endoscopy Images Using Handcrafted and CNN Features.
Xiao Jia, Max Q.-H. Meng. [paper]
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. (Oral)

A Study on Automated Segmentation of Blood Regions in Wireless Capsule Endoscopy Images Using Fully Convolutional Networks.
Xiao Jia, Max Q.-H. Meng. [paper]
IEEE International Symposium on Biomedical Imaging (ISBI), 2017.

A Deep Convolutional Neural Network for Bleeding Detection in Wireless Capsule Endoscopy Images.
Xiao Jia, Max Q.-H. Meng. [paper]
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. (Oral)

GI Bleeding Detection in Wireless Capsule Endoscopy Images Based on Pattern Recognition and a MapReduce Framework
Xiao Jia, Lipeng Cai, Jing Liu, Wenxuan Dai, and Max Q.-H. Meng. [paper]
IEEE International Conference on Real-time Computing and Robotics, 2016. (Oral)


Honors & Awards

  • Global Scholarship Programme for Research Excellence, CUHK, HK, 2018-2019
  • Hong Kong PhD Fellowship Scheme, Research Grants Council, HK, 2014-2018
  • National Scholarship, Ministry of Education, PRC, 2011, 2012, and 2013
  • Grand Prize of the 13th "Challenge Cup", Provincial Education Department, 2013


Experience

  • Stanford University, Palo Alto, United States
    Aug. 2018 - Jan. 2019

    Visiting Student in the Department of Radiation Oncology
    Topic: Automated Cystoscopic Detection of Bladder Cancer

  • The Chinese University of Hong Kong, Hong Kong.
    Jul. 2013 - Dec. 2013

    Research Intern in the Department of Electronic Engineering
    Topic: Task Allocation Algorithms in Multi-Robot Systems

Professional Activities

  • Membership: IEEE Student, IEEE EMBS Student

  • Academic Organizer and Chair:
    Session chair of IEEE International Conference on Information and Automation, 2017
    Session chair of IEEE International Conference on Information and Automation, 2016

  • Conference Presentations:
    EMBC 2017
    ISBI 2017
    RCAR 2016
    EMBC 2016

  • Technical Reviews:
    IEEE Transactions on Medical Imaging (TMI)
    IEEE Journal of Biomedical and Health Informatics (JBHI)
    IEEE International Conference on Advanced Robotics (ICAR)
    IEEE International Conference on Information and Automation (ICIA)


Teaching

2015-2018Spring BMEG4103 Biomedical Modelling
2015-2018FallBMEG3420 Medical Robotics
2014-2015SpringBMEG3330 Neuroengineering
2014-2015FallBMEG2210 Orthopaedic Biomechanics and Musculoskeletal Injury


© Xiao Jia | Last updated: 1 Sep. 2019