cv

Qianying Liu (刘倩颖)

PhD student in Computer Vision

Profile

I am a 2rd-year Ph.D. student full funded by CSC at School of Computing Science, University of Glasgow, UK, supervised by Dr. Fani Deligianni, Dr. Paul Henderson and Dr. Hang Dai. My research focuses on understanding the visual information of medical images with limited supervision, particularly in identifying organs and learning their boundaries, e.g., medical image segmentation/classification. This work lies at the intersection of Machine Learning, Computer Vision, and Medical Image Processing.

I completed a BA in Engineering Cost Management at the Chongqing Jiaotong University in 2018 (ranked top 17/209 in our major), followed by an M.Sc in Management Science and Engineering at the Shenzhen University in 2021. I then started my PhD study.

Teaching

  • Teaching Assistant (22-23), Introductory programming in Python, Computing Fundamentals, Introduction to Computational Thinking, Computer Systems, Computer Vision Methods and Applications, University of Glasgow

Professional Activity

  • Reviewer of Conference: ACCV 2023, ICASSP 2023

Contact

Selective Publications

Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation
Qianying Liu, Xiao Gu, Paul Henderson and Fani Deligianni
British Machine Vision Conference (BMVC), 2023
| arxiv | code|

Optimizing Vision Transformers for Medical Image Segmentation
Qianying Liu, Chaitanya Kaul, Jun Wang, Christos Anagnostopoulos, Roderick Murray-Smith, Fani Deligianni
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
| pdf | code|

General parameter control framework for evolutionary computation
Qianying Liu, Haiyun Qiu, Ben Niu, Hong Wang
International Journal of Intelligent Systems, 2022,37(12),11432-11464 (Q1, IF:11.90)
| pdf |

Boosted efficientnet: Detection of lymph node metastases in breast cancer using convolutional neural networks
Jun Wang, Qianying Liu, Haotian Xie, Zhaogang Yang, Hefeng Zhou
Cancers 2021, 13(4), 661 (Q1, IF:6.126))
| pdf | code|

Multi-objective Hydrologic Cycle Optimization for Integrated Container Terminal Scheduling Problem
Ben Niu, Yuda Wang, Jia Liu, Qianying Liu*
Machine Learning for Cyber Security, ML4CS, 2022
*: corresponding author
| pdf |

Multi-objective bacterial colony optimization algorithm for integrated container terminal scheduling problem
Ben Niu (supervisor), Qianying Liu, Zhengxu Wang, Lijing Tan, Li Li
Natural Computing, 2021, 20(4):8 9-104 (Q2, IF:2.1))
| pdf |

Awards

  • China Scholarship Council- University of Glasgow Scholarship, June. 2021.

  • National Scholarship for Postgraduate Students, 2020.
    (It is currently the highest-level scholarship for master in China)

  • Silver Medal, Mechanisms of Action(MoA) Prediction Competition, Kaggle. 2020.

  • Short-term International Academic Exchange Scholarship of Shenzhen University, 2019.

  • Second-class academic scholarship of Shenzhen University, 2019.

  • First-class academic scholarship of Shenzhen University, 2018.

  • School-level outstanding graduates of Chongqing Jiaotong University, 2018.