Qing Liu

Contact Information

     Office: TS325                                             Voice:   +358-417 922 301

    Center for Machine Vision and Signal Analysis E-mail: qing.liu@oulu.fi

     University of Oulu, Finland                 

Work Experience       

      Feb. 2024 -, Docent (Adjunct Professor), University of Oulu, Finland      

      Sep. 2023 -, Academy Research Fellow, University of Oulu, Finland

      Oct. 2022 - Aug. 2023, Associate Professor, Central South University, China

Sep. 2019 - Sep. 2022, Lecturer, Central South University, China

Jul. 2017 -  Jun. 2019, Postdoc researcher, Central South University, China

Research Interests

    Computer Vision, Medical Image Analysis

Professional Activities

     ELLIS member  since April 2025

IEEE senior member since July 2024

Associate editor: Image and Vision Computing (Jul. 2023-), Computer Vision and Image Understanding (Dec. 2024)

Area chairs: ICASSP2025&2024, BMVC 2025

PC members: IJCAI 2025

Session chairs: ICASSP2024, ICASSP2023

Publication chairs: ICIPMC 2025&2024

Conference special session co-organiser:  ICASSP2024 Special Session on Learning with Incomplete Medical Data (together with Robert Jenssen and Guoying Zhao please see details here )

Group Members

• PhD students

  • Ali Salar on face adversarial attack (Feb. 2024, co-supervise with Prof. Guoying Zhao)

• • Boyi Zheng on partially supervised retinal image analysis and disease detection (Jan. 2024, primary supervisor)

  • Mohamed Tarek Mohamed Saber A. Elhabebe  on Fair AI towards fundus image reading systems (Sept. 2024, primary supervisor)

• Visiting researchers

  • Xiaoyun Zhang (Assistant professor, Hunan University of Technology)

• Master students

  • Yichen Hu on multi-modal retinal image analysis (Central South University, 2023.09-2026.05) 

Alumni

• Kejuan Yue on multi-modal ophthalmic data learning (Aug. 2024-July 2025, primary supervisor, co-supervisor: Tapio Seppanen)

• Sabin Bhatta on CLIP-guided lesion segmentation and diabetic retinopathy grading with retina images (Master, University of Oulu, 2024.02-2025.6, co-supervise with Prof. Guoying Zhao)

• Yufan Liu on incremental learning (Central South University, 2022.09-2025.05)

Teaching

• 🎈🎈News🎈🎈 DP00AY81, Advancing AI-Driven Oculomics for Eye and Systemic Diseases [link]. Spring 2025 (External Lecturer: Prof. Yalin Zheng at University of Liverpool, Local Teacher: Qing Liu)

• 521153S-3004 Deep Learning - Fall 2024 (together with Dr. Jukka Komulainen)

• DP00AS47-3001, Annotation-Efficient Medical Image Segmentation [link]. Spring 2025 (External Lecturer: Prof. Pong Chi YUEN at Hong Kong Baptist University, Local Teacher: Qing Liu)

• 521153S-3004 Deep Learning - Fall 2023 (together with Dr. Jukka Komulainen)

Education Experience

     Sep. 2011 – May 2017    Central South University, Computer Application Technology, PhD

     Sep. 2007 – Jun. 2011     Central South University, Computer Science and Technology, B.Eng

Research Experience

    Computer Vision and Virtual Reality Lab, Central South University    PhD student(supervisor: Prof. Beiji Zou)     Sep. 2011 – Jun. 2017

    Machine Vision and Signal Analysis, University of Oulu, Finland    Visiting Student (Supervisor: Prof. Guoying Zhao)  Oct. 2015 – Apr. 2017

Grants

• • 🎈🎈News🎈🎈6GESS and DigiHealth Mobility Grant, 6GESS Research Program, Sep. 2025 - Oct. 2025, 4 300 euros   

    🛩️This autumn, I will visit Prof. Hrvoje Bogunovic at Christian Doppler Lab for Artificial Intelligence in Retina,  Medical University of Vienna🛩️

• • Academy Research Fellow Grant, Academy of Finland, Sep. 2023 - Aug. 2027, 585 522 euros

Project Title: Towards reading retinal fundus images for real-world clinical applications, funding decisions

• • DigiHealth Visitor Program Grant from University of Oulu, Finland, Feb. 2022 – Jun. 2023, about 4000 euros

Host: Prof. Guoying Zhao 

• • Enterprise Cooperation Project, 500 000 CNY

Project Title: Key algorithm development in automated analysis system toward chromosome karyotype images 

• • Hunan Provincial Natural Science Foundation of China (2021JJ40788),  Jan. 2021 - Dec. 2023, 50 000 CNY 

Project Title: Research on Lesion Segmentation from Color Fundus Images and Its Application in Computer-aided Diagnosis for Diabetic Retinopathy 

• • Changsha Municipal Natural Science Foundation (kq2014135), July 2020 -  Jun. 2022, 100 000 CNY

Project Title: Research on Fundus Image Analysis Methods for Automated Screening of Diabetic Retinopathy 

• • National Natural Science Foundation of China (NSFC No. 62006249), Jan 2021 - Dec. 2023 , 240 000 CNY

Project Title:  Research on  Robust Fundus Image Analysis Methods for Computer-aided Diagnosis of Glaucoma

• • First-class General Financial Grant from China Postdoctoral Science Foundation, Nov. 2017 - Jun. 2019, 80 000 CNY

Project Title:  Medical Image Analysis and Its Application on Glaucoma Screening 

• • Graduate Innovation Fund, Central South University, May 2013 - Oct. 2015, 18 000 CNY

Project Title: Research on Higher Order Constraints in Probability Graph Models for Saliency Detection.

Publication List

• 1. Boyi Zheng, Qing Liu. PSScreen: Partially Supervised Multiple Retinal Disease Screening. BMVC 2025 (Oral). (🎈🎈Congratulations to Boyi🎈🎈) 

  2. Ali Salar, Qing Liu, Yingli Tian, Guoying Zhao. Enhancing Facial Privacy Protection via Weakening Diffusion Purification. CVPR2025. 

  3. Yichen Hu, Chao Wang, Weitao Song, Aleksei Tiulpin, Qing Liu. A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method. MICCAI 2024. Dataset and Code 

  4. Ziyuan Ding, Yixiong Liang, Shichao Kan, Qing Liu. HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation. MICCAI 2024. Code (Shortlisted for the Best Paper Award)

  5. Qing Liu#, Hailong Zeng#,  Zhaodong Sun, Xiaobai Li, Guoying Zhao, Yixiong Liang*. Many Birds, One Stone: Medical Image Segmentation with Multiple Partially Labelled Datasets. Pattern Recognition. 2024. Code.

  6. Lele Lv, Qing Liu, Shichao Kan, Yixiong Liang. Confidence-Aware Contrastive Learning for Semantic Segmentation. ACM Multimedia, 2023.

  7. Haotian Liu, Qing Liu, Yang Liu, Yixiong Liang, Guoying Zhao. Exploring effective knowledge distillation for tiny object detection. IEEE International Conference on Image Processing (ICIP), 2023

  8. Gaojie Li#, Qing Liu#, Haotian Liu, Yixiong Liang*. A Novel Transformer-Based Pipeline for Lung Cytopathological Whole Slide Image Classification. ICASSP 2023.  

  9. Liu, Qing#, Haotian Liu#, Wei Ke*, Yixiong Liang*. Automated lesion segmentation in fundus images with many-to-many reassembly of features. 2023. Pattern Recognition.  Code

  10. Qing Liu#, Haotian Liu#, Yang Zhao, Yixiong Liang*. Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images. 2022. IEEE Journal of Biomedical and Health Informatics. 

  11. Beiji Zou, Hongpu Fu, Zailiang Chen, Qing Liu*. Ground Truth Free Retinal Vessel Segmentation by Learning from Simple Pixels. 2021. IET Image Processing. 

  12. Ziwen Xu, Beiji Zou, Qing Liu*. A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment. 2020. https://arxiv.org/abs/2010.13313 

  13. Jingyu Du, Beiji Zou, Changlong Chen, Xuzi Wen, Qing Liu*.  Automatic microaneurysm detection in fundus image based on local cross-section transformation and multi-feature fusion. 2020. Computer Methods and Programs in Biomedicine.  PDF. Code.

  14. Yao Xiang, Jialin Chen, Qing Liu, Yixiong Liang*.  Disentangled Representation Learning based Multidomain Stain Normalization for Histological Images. ICIP 2020. (Oral)

  15. Meng Yan#, Qing Liu#,  Zhihua Yin, Du Wang, Yixiong Liang*. A Bidirectional Context Propagation Network for Urine Sediment Particle Detection in Microscopic Images. ICASSP 2020. (Oral)

  16. Qing Liu, Beiji Zou, Yang Zhao, Yixiong Liang*. A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation. ICASSP 2020, arxiv.org/pdf/1911.01648.pdf (Oral)

  17. Qing Liu, Xiaopeng Hong, Wei Ke, Zailiang Chen, Beiji Zou. DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation. 2019, https://128.84.21.199/pdf/1904.08773.pdf 

  18. Qing Liu, Xiaopeng Hong, Shuo Li, Zailiang Chen, Guoying Zhao, Beiji Zou*. A Spatial-aware Joint Optic Disc and Cup Segmentation Method. 2019. Neurocomputing . PDF

  19. Beiji Zou, Qing Liu, Kejuan Yue et al. Saliency based Optic Disc Segmentation. 2019. Chinese Journal of Electronics.

  20.  Qing Liu, Xiaopeng Hong, Beiji Zou, Jie Chen, Guoying Zhao. Hierarchical Contour Closure based Holistic Salient Object Detection. 2017. IEEE Transaction on Image Processing. Project

  21. Qing Liu, Beiji Zou, Jie Chen, Wei Ke, Kejuan Yue, Zailiang Chen, Guoying Zhao. 2017. A Location-to-Segmentation Strategy for Automatic Exudate Segmentation in Colour Retinal Fundus Images. 2017. Computerized Medical Imaging and Graphics. PDF

  22. Qing Liu, Beiji Zou, Jie Chen, Zailiang Chen, Chengzhang Zhu, Kejuan Yue, Guoying Zhao. Retinal Vessel Segmentation From Simple to Difficult. 2016. MICCAI workshop on OMIA (Oral). PDF

  23. Beiji Zou, Qing Liu, Zailiang Chen, Shijian Liu, Xiaoyun Zhang. Saliency Detection Using Boundary Information. 2016. Multimedia Systems. PDF

  24. Zou Beiji, Qing Liu, Zailiang Chen, Hongpu Fu, Chengzhang Zhu. Surroundedness based multiscale saliency detection. 2015. Journal of Visual Communication and Image Representation.PDF

  25. Qing Liu, Beiji Zou, Zailiang Chen, Hongpu Fu. Color Feature Based Interest Objects Detection. 2013. Journal of Computer-Aided Design & Computer Graphics (in Chinese) .

Patent

• • Beiji Zou, Qing Liu, Zailiang Chen, Wang Hu, Hongpu Fu. 2015. Saliency Detection Using the Image Boundary Prior and the Connectivity of Region (201510013897.6)

Honors and Awards      

• • Outstanding Graduate of Hunan Province, 2017

  • Outstanding Graduate Student Scholarship, Ministry of Education, 2015 (30 000 CNY) & 2012 (20 000 CNY)