个人简介
个人基本信息
地 址： 中南大学校本部计算机405-2
电 话： 18711176740
E-mail： qing.liu.411@gmail.com
Homepage: https://sites.google.com/site/qingliucs/
研究兴趣
计算机视觉、医学图像分析
每年招生硕士研究生2-3名，欢迎喜欢计算机视觉和医学图像分析的小同学的加入^_^
News
**One paper about tiny object detection accepted by ICIP2023
**One paper accepted by ICASSP2023 (I served as the sesseion chair of "MLSP-L8: Distributed and Federated Learning I" and "MLSP-P8: Machine Learning for Image and Video Processing")
工作经历
2022.09 – 今 中南大学计算机学院，副教授
2019.09 – 2022.09 中南大学计算机学院，讲师
2017.07 – 2019.07 中南大学，控制科学与工程，博士后
访问经历
2023.02-2024.02 University of Oulu, Finland, closely collaborating with Academy Prof. Guoying Zhao and Prof.Aleksei Tiulpin
2015.10 - 2017.04 芬兰奥卢大学，机器视觉与信号处理中心，合作导师：赵国英教授
论文列表（#表示共同一作；*表示通讯作者）
[1] Qing Liu, Xiaopeng Hong, Beiji Zou, Jie Chen, Guoying Zhao. Hierarchical Contour Closure based Holistic Salient Object Detection [J]. IEEE Transaction on Image Processing, 2017, 26(9): 4537-4552. (CCF A, IF=11.04, project)
[2] Qing Liu, Beiji Zou, Jie Chen, Wei Ke, Kejuan Yue, Zailiang Chen*, Guoying Zhao. A Location-to-Segmentation Strategy for Automatic Exudate Segmentation in Colour Retinal Fundus Images [J]. Computerized Medical Imaging and Graphics. 2017, 55: 78-86. (Google citation: 88)
[3] Qing Liu#, Haotian Liu#, Wei Ke*, Yixiong Liang*. Automated Lesion Segmentation in Fundus Images with Many-to-Many Reassembly of Features. Pattern Recognition. 2023. ( CCF B, IF=8.51, code)
[4] 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 [J]. IEEE Journal of Biomedical and Health Informatics. 2022, 26(3):1091-1102. (IF=7.02, code)
[5] Qing Liu, Xiaopeng Hong, Shuo Li, Zailiang Chen, Guoying Zhao, Beiji Zou*. A Spatial-aware Joint Optic Disc and Cup Segmentation Method [J]. Neurocomputing, 2019, 359: 285-297. (Google citation: 25)
[6] Qing Liu, Beiji Zou, Yang Zhao, Yixiong Liang*. A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation [C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. (CCF B, Lecture session, acceptance rate: approximately 16.6%)
[7] Meng Yan#, Qing Liu#, Zhihua Yin, Du Wang, Yixiong Liang*. A Bidirectional Context Propagation Network for Urine Sediment Particle Detection in Microscopic Images [C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020. (CCF B, Lecture session, acceptance rate: approximately 16.6%)
[8] Siming Yuan, Qing Liu, Shenghui Liao, Fuchang Han, Haitao Wei, Yingqi Zhang. Rethinking computer-Aded Pelvis Segmentation [C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022. (CCF B)
[9] Yongsheng Zhang#, Qing Liu#, Yang Zhao, Yixiong Liang. MEJIGCLU: More Effective Jigsaw Clustering for Unsupervised Visual Representation Learning [C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022. (CCF B)
[10] Ruixiang Geng#, Qing Liu#, Feng Shuo, Yixiong Liang*. Deep Learning Pathological Features for WSI-Level Cervical Cancer Grading [C]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022. (CCF B)
[11] Ziwen Xu, Beiji Zou, Qing Liu*. A dark and bright channel prior guided deep network for retinal image quality assessment [J]. Biocybernetics and Biomedical Engineering, 2022, 42(3):772-783.
[12] Yixiong Liang, Zhihong Tang, Meng Yan, Qing Liu, Yun Du*. Global Context-Aware Cervical Cell Detection with Soft Scale Anchor Matching [J]. Computer Methods and Programs in Biomedicine, 2021, 204:106061.
[13] Yixiong Liang, Zhihong Tang, Meng Yan, Jialin Chen, Qing Liu, Yao Xiang*. Comparison Detector for Cervical Cell/Clumps Detection in the Limited Data Scenario [J]. Neurocomputing, 2021, 437: 195-205.
[14] Yang Li, Beiji Zou, Qing Liu*. A Deep Attention Network via High-Resolution Representation for Liver and Liver Tumor Segmentation [J]. Biocybernetics and Biomedical Engineering, 2021, 41(4): 1518-1532.
[15] Beiji Zou, Hongpu Fu, Zailiang Chen, Qing Liu*. Ground Truth Free Retinal Vessel Segmentation by Learning from Simple Pixels[J]. IET Image Processing. 2021, 15:1210 -1220.
[16] Junhu Li, Beiji Zou, Ziwen Xu, Qing Liu*. Multi-branch Multi-task 3D-CNN for Alzheimer’s Disease Detection [C]. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021.
[17] Ziwen Xu, Beiji Zou, Qing Liu*. Multi-branch Multi-task 3D-CNN for Alzheimer’s Disease Detection [C]. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021.
[18] 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 [J]. Computer Methods and Programs in Biomedicine, 2020, 196: 105687.
[19] Yao Xiang, Jialin Chen, Qing Liu, Yixiong Liang*. Disentangled Representation Learning based Multidomain Stain Normalization for Histological Images [C]. International Conference on Image Processing (ICIP), 2020.
[20] Beiji Zou, Qing Liu, Kejuan Yue et al. Saliency based Optic Disc Segmentation[J]. Chinese Journal of Electronics. 2019, 28(1): 71-75.
[21] Qing Liu, Beiji Zou, Jie Chen, Zailiang Chen, Chengzhang Zhu, Kejuan Yue, Guoying Zhao. Retinal Vessel Segmentation from Simple to Difficult. Proceedings of MICCAI workshop on ophthalmic medical image analysis, 2016 (Oral).
[22] Beiji Zou, Qing Liu, Zailiang Chen, Shijian Liu, Xiaoyun Zhang. Saliency Detection Using Boundary Information. Multimedia Systems. 2016, 22(2):245-253.
[23] Zou Beiji, Qing Liu, Zailiang Chen, Hongpu Fu, Chengzhang Zhu. Surroundedness based multiscale saliency detection. Journal of Visual Communication and Image Representation. 2015, 33: 378-388.
[24] Qing Liu, Beiji Zou, Zailiang Chen, Hongpu Fu. Color Feature Based Interest Objects Detection. 2013. Journal of Computer-Aided Design & Computer Graphics (in Chinese)
在研项目
【1】 湖南省自然科学基金，面上项目，2023JJ30699，多域不完备标注场景下的眼底图像分析方法研究及在眼底疾病辅助诊断系统中的应用，2023/01-2025/12，在研，参与 （主持人：刘剑锋老师）
【2】 芬兰奥卢大学, DigiHealth Visitor Program Grant, 2022, 合作导师：赵国英教授
【3】 湖南省自然科学基金，青年项目，2021JJ40788，彩色眼底图像中病灶分割方法研究及其在糖尿病视网膜病变辅助诊断中的应用，2021/01-2023/12，在研，主持
【4】 国家自然科学基金，青年项目，62006249，面向青光眼辅助诊断的鲁棒的眼底图像分析方法研究，2021/01-2023/12，在研，主持
结题项目
中国博士后科学基金，面上资助一等资助，2017M620356，医学影像分析及其在青光眼筛查中的应用，2017-12至2019-07，已结题，主持
长沙市自然科学基金，kq2014135，面向糖尿病视网膜病变智能筛查的彩色眼底图像分析方法研究，2020/07-2022/06，已结题，主持