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Home People Research Research Publications Teaching Protocol Sharing News Center for Pain Medicine Research Brief Info Software Alumni Join us Contact us Jimmy Liu Professor Department of Computer Science and Engineering   Research Group ◆ 2019/02-NOW， Department of Computer Science and Engineering, Southern University of Science and Technology， Professor ◆ 2016/03-2019/01， Cixi institute of Biomedical Engineering of CAS, Director/Senior Professor ◆ 2007/01-2016/03， Intelligent Medical Imaging Department， Institute of Infocomm research, A*STAR, Senior Scientist/Director/Director consultant ◆ 2004/07-2006/12， National University of Singapore， School of Computing， Research Fellow ◆ 1989/09-2004/06， Singapore state-owned/multinational corporation， Engineer/Manager/Technical Director ◆ 1988/09-1989/08， Institute of Automation, Chinese Academy of Sciences， Assistant Engineer Personal Profile Jimmy LIU, Prof. Email:liuj_AT_sustech.edu.cn Office:Room 403,Building 10 Innovation Park Research Area: Ocular (eye) Imaging Artificial Intelligence;Eye-Brain; Medical imaging analysis；Precise Medical;Surgical robots Educational Background ◆ 1999/05-2004/04, National University of Singapore, computer science department, PhD ◆ 1991/02-1992/11, National University of Singapore, Computer science department, M.S. ◆ 1983/08-1988/07, University of Science and Technology of China, Computer science department, B.S.   Professional Experience ◆ 2019/02-NOW， Department of Computer Science and Engineering, Southern University of Science and Technology， Professor ◆ 2016/03-2019/01， Cixi institute of Biomedical Engineering of CAS, Director/Senior Professor ◆ 2007/01-2016/03， Intelligent Medical Imaging Department， Institute of Infocomm research, A*STAR, Senior Scientist/Director/Director consultant ◆ 2004/07-2006/12， National University of Singapore， School of Computing， Research Fellow ◆ 1989/09-2004/06， Singapore state-owned/multinational corporation， Engineer/Manager/Technical Director ◆ 1988/09-1989/08， Institute of Automation, Chinese Academy of Sciences， Assistant Engineer   Honors & Awards ◆Tenured Professor, Department of Computer Science and Engineering 2019- ◆Distinguished Professor, Southern University of Science and Technology Hospital 2023- ◆Shenzhen Excellent Teachers 2023 ◆Chief Scientist, National Eye Research Center, Singapore 2014-2023 ◆Director, Ningbo Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences 2018 ◆Chairman of Singapore IEEE Biomedical Engineering Society 2014   Selected Publication Heng Li#, Haofeng Liu#, Yan Hu*, Huazhu Fu, Yitian Zhao, Jiang Liu*, An Annotation-free Restoration Network for Cataractous Fundus Images, IEEE Transactions on Medical Imaging, 2022, 41(7): 1699-1710. Jinkui Hao#, Fei Li#, Huaying Hao, Huazhu Fu, Yanwu Xu, Risa Higashita, Xiulan Zhang*, Jiang Liu*, Yitian Zhao*, Hybrid Variation-aware Network for Angle-closure Assessment in AS-OCT, IEEE Transactions on Medical Imaging, 2022, 41(2):254-265. Ma Yuhui#, Jiang Liu#, Yonghuai Liu, Huazhu Fu, Yan Hu, Jun Cheng, Hong Qi, Yufei Wu, Joing Zhang, Yitian Zhao*, Structure and Illumination Constrained GAN for Medical Image Enhancement, IEEE Transactions on Medical Imaging, 2021, 40(12):3955-3967. Xiaoqing Zhang, Zunjie Xiao, Huazhu Fu, Yan Hu, Jin Yuan, Yanwu Xu , Risa Higashita*, Jiang Liu*, Attention to region: Region-based integration-and-recalibration networks for nuclear cataract classification using AS-OCT images, Medical Image Analysis, 2022, 80:102499. (DOI: 10.1016/j.media.2022.102499) Jiansheng Fang*, Huazhu Fu, Jiang Liu*, Deep Triplet Hashing Network for Case-based Medical Image Retrieval, Medical Image Analysis, 2021, 69:101981. Huaying Hao, Yitian Zhao*, Qifeng Yan, Risa Higashita, Jiong Zhang, Yifan Zhao, Yanwu Xu, Fei Li, Xiulan Zhang, Jiang Liu*, Angle-closure assessment in anterior segment OCT images via deep learning, Medical Image Analysis, 2021, 69: 101956. Mou Lei; Zhao Yitian*; Fu Huazhu; Liu Yonghuai; Cheng Jun; Zheng Yalin; Su Pan; Yang Jianlong; Chen Li; Frangi Alejandro F.; Akiba Masahiro; Liu Jiang*; CS2-Net: Deep learning segmentation of curvilinear,structures in medical imaging, Medical Image Analysis, 2021, 67:  Hongyang Jiang, Mengdi Gao, Heng Li, Richu Jin, Hanpei Miao, Jiang Liu*, Multi-Learner Based Deep Meta-Learning for Few-Shot Medical Image Classification, IEEE Journal of Biomedical and Health Informatic, 2022 Xiaoqing Zhang, Zunjie Xiao, Lingxi Hu, Gelei Xu, Risa Higashita*, Wan Chen, Jin Yuan, Jiang Liu*, CCA-Net: Clinical-awareness attention network for nuclear cataract classification in AS-OCT, Knowledge-Based Systems, 2022, 250:109109. (DOI: 10.1016/j.knosys.2022.109109) Luoying Hao, Yan Hu, Yanwu Xu,  Huazhu Fu,  Hanpei Miao, Ce Zheng; Jiang Liu*, Dynamic analysis of iris changes and a deep learning system for automated angle-closure classification based on AS-OCT videos, Eye and Vision, 2022. Xiaoqing Zhang, Zunjie Xiao, Xiao Wu, Yu Chen, Risa Higashita, Wan Chen, Jin Yuan, Jiang Liu, Nuclear cataract classification in anterior segment OCT based on clinical global-local features, Complex & Intelligent Systems, 2022. Peng Liu, Risa Higashita, Philip Yawen Guo, Keiichiro Okamoto, Fei Li, Anwell Nguyen, Rei Sakata; Lixin Duan, Makoto Aihara, Shan Lin, Xiulan Zhang, Christopher Kai-shun Leung, Jiang Liu. Reproducibility of deep learning based scleral spur localisation and anterior chamber angle measurements from anterior segment optical coherence tomography images, British Journal of Ophthalmology, 2022. Jiansheng Fang, Ming Zeng, Xiaoqing Zhang, Hongbo Liu, Yitian Zhao, Peng Zhang, Hong Yang, Junling Liu, Hanpei Miao, Yan Hu, Jiang Liu*, Deep metric learning with mirror attention and fine triplet loss for fundus image retrieval in ophthalmology, Biomedical Signal Processing and Control, 2022. Mengjie Guo, Hengrong Lan, Changchun Yang, Jiang Liu*, Fei Gao, AS-Net: Fast Photoacoustic Reconstruction With Multi-Feature Fusion From Sparse Data, IEEE Transactions on Computational Imaging, 2022, 8: 215-223. (DOI: 10.1109/TCI.2022.3155379) Jiansheng Fang, Dan Zeng, XiaoYan, Yubing Zhang, Hongbo Liu, BoTang, Ming Yang, JiangLiu*, Combating Spatial Redundancy with Spectral Norm Attention in Convolutional Learners, Neurocomputing, 2022, 511:105-116. Zhongxi Qiu, Yan Hu*, Jiayi Zhang, Xiaoshan Chen, Jiang Liu*, FGAM: a pluggable light-weight attention module for medical image segmentation, Computers in Biology and Medicine, 2022, 146:105628. (DOI: 10.1016/j.compbiomed.2022.105628) Wenqiang Luo, Zhiwei Chen, Qi Zhang, Baiying Lei, Zhong Chen, Yuan Fu, Peidong Guo, Chang chuanLi, Teng Ma*, Jiang Liu*, Yue Ding*, Osteoporosis Diagnostic Model Using a Multichannel Convolutional Neural Network Based on Quantitative Ultrasound Radiofrequency Signal, Ultrasound in Medicine & Biology, 2022, 48(8). (DOI: 10.1016/j.ultrasmedbio.2022.04.005) Xiaoqing Zhang, Zunjie Xiao, Risa Higashita, Yan Hu, Wan Chen, Jin Yuan, Jiang Liu, Adaptive feature squeeze network for nuclear cataract classification in AS-OCT image, Journal of Biomedical Informatics, 2022, 128:104037. (DOI: 10.1016/j.jbi.2022.104037) Xiaoqing Zhang, Zunjie Xiao, Xiaoling, Li, Xiao Wu, Hanxi Sun, Jin Yuan, Risa Higashita, Jiang Liu*, Mixed pyramid attention network for nuclear cataract classification based on anterior segment OCT images, Health Information Science and Systems, 2022, 10(1):3. (DOI: 10.1007/s13755-022-00170-2) Yitian Zhao#, Jinyu Zhao#, Yuanyuan Gu#, Bang Chen, Jiaqi Guo, Jianyang Xie, Qifeng Yan, Yuhui Ma, Yufei Wu, Jiong Zhang*, Qinkang Lu*, Jiang Liu*, Outer Retinal Layer Thickness Changes in White Matter Hyperintensities and Parkinson's Disease, Frontiers in Neuroscience, 2021, (15):741651. Yan Hu*; Jianfeng Ren; Jianglong Yang; Ruibing Bai; Jiang Liu*; Noise Reduction by Adaptive-SIN Filtering for Retinal OCT Images, Scientific Reports, 2021,11(1):19498. Jiansheng Fang; Yanwu Xu; Yitian Zhao; Yuguang Yan; Junling Liu; Jiang Liu*, Weighing features of lung and heart regions for thoracic disease classification, BMC MedicalImaging, 2021, 21:99. Yan Qifeng; Chen Bang; Hu Yan; Cheng Jun; Gong Yan; Yang Jianlong; Liu Jiang*; Zhao Yitian*; Speckle reduction of OCT via super resolution reconstruction and its application on retinal layer segmentation, Artificial Intelligence in Medicine, 2020, 106:101871. Su Pan; Chen Tianhua; Xie Jianyang; Zheng Yalin; Qi Hong; Borroni Davide; Zhao Yitian*; Liu Jiang*, Corneal nerve tortuosity grading via ordered weighted averaging-based feature extraction, Medical Physics, 2020, 47(10): 4983-4996. Xiaoqing Zhang, Yan Hu, Zunjie Xiao, Jiansheng Fang,  Risa Higashita, Jiang Liu*, Machine Learning for Cataract Classification/Grading on Ophthalmic Imaging Modalities: A Survey,  Machine Intelligence Research, 2022, 19(3):184-208. (DOI: 10.1007/s11633-022-1329-0) Jiansheng Fang; Huazhu Fu; Dan Zeng; Xiao Yan; Yuguang Yan; Jiang Liu*; Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval, IEEE Journal of Biomedical and Health Informatics, 2021,25(10):3943-3954. Fei Li, Hao Li, Jianlong Yang, Jiang Liu, Aung Tin, Xiulan Zhang. Upside-down position leads to choroidal expansion and anterior chamber shallowing: OCT study[J]. British Journal of Ophthalmology, 2019: bjophthalmol-2019-314418. Yifan Zhao ; Yitian Zhao ; Pholpat Durongbhan ; Liangyu Chen ; Jiang Liu ; S. A. Billings ; Panagiotis Zis;Zoe C. Unwin;Matteo De Marco;Annalena Venneri. Imaging of nonlinear and dynamic functional brain connectivity based on EEG recordings with the application on the diagnosis of Alzheimer’s disease[J]. IEEE Transactions on Medical Imaging, 2019. Lei Mou, Li Chen, Jun Cheng, Zaiwang Gu, Yitian Zhao and Jiang Liu. Dense Dilated Network with Probability Regularized Walk for Vessel Detection[J]. IEEE Transactions on Medical Imaging, 2019. Zaiwang Gu, Jun Cheng , Huazhu Fu , Kang Zhou, Huaying Hao, Yitian Zhao , Tianyang Zhang, Shenghua Gao , and Jiang Li. CE-Net: Context Encoder Network for 2D Medical Image Segmentation[J]. IEEE Transactions on Medical Imaging, 2019. Yitian Zhao, Jianyang Xie, Huaizhong Zhang, Yalin Zheng, Yifan Zhao, Hong Qi, Yangchun Zhao, Pan Su∗, Jiang Liu and Yonghuai Liu. Retinal vascular network topology reconstruction and artery/vein classification via dominant set clustering[J]. IEEE Transactions on Medical Imaging, 2019. Tianyang Zhang, Jun Cheng, Huazhu Fu, Zaiwang Gu, Yuting Xiao, Kang Zhou, Shenghua Gao, Rui Zheng and Jiang Liu. Noise Adaptation Generative Adversarial Network for Medical Image Analysis[J]. IEEE Transactions on Medical Imaging, 2019. Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Mani Baskaran, Meenakshi Mahesh, Tin Aung and Jiang Liu. Angle-Closure Detection in Anterior Segment OCT based on Multi-Level Deep Network[J]. IEEE Transactions on Cybernetics，2019 Jianyang Xie, Yitian Zhao, Yonghuai Liu, Pan Su, Yifan Zhao,Jun Cheng, Yalin Zheng, Jiang Liu. Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019: 8505-8513. Tianyang Zhang, Huazhu Fu, Yitian Zhao, Jun Cheng, Mengjie Guo, Zaiwang Gu, Bing Yang, Yuting Xiao, Shenghua Gao, and Jiang Liu. SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019: 777-785. Pan Su, Yitian Zhao, Tianhua Chen, Jianyang Xie, Yifan Zhao, Hong Qi, Yalin Zheng, and Jiang Liu. Exploiting Reliability-Guided Aggregation for the Assessment of Curvilinear Structure Tortuosity[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019: 12-20. Lei Mou, Yitian Zhao, Li Chen, Jun Cheng, Zaiwang Gu, Huaying Hao, Hong Qi , Yalin Zheng, Alejandro Frangi, and Jiang Liu. CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019: 721-730. Huazhu Fu，Boyang Wang，Jianbing Shen，Shanshan Cui，Yanwu Xu，Jiang Liu，Ling Shao. Evaluation of retinal image quality assessment networks in different color-spaces[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019: 48-56. Yitian Zhao, Yalin Zheng, Yonghuai Liu, Yifan Zhao, Lingling Luo, Siyuan Yang, Tong Na, Yongtian Wang, Jiang Liu, Automatic 2D/3D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter, IEEE Transactions on Medical Imaging, 37(2): 438-450, 2018 Fu, Jun Cheng, Y. Xu, D. W. K. Wong, J. Liu and X. Cao, Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation, IEEE Transactions on Medical Imaging, vol. 37, no 7, pp. 1597-1605, 2018. Fu, Jun Cheng, Y. Xu, C. Zhang, D. W. K.Wong, J. Liu, X. Cao, "Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image", IEEE Transactions on Medical Imaging, vol. 37, no. 11, pp. 2493-2501, 2018 . Jun Cheng, Z. Li, Z. Gu, H. Fu, D. W. K. Wong, J. Liu，"Structure-preserving Guided Retinal Image Filtering and Its Application for Optic Disc Analysis", IEEE Transactions on Medical Imaging, vol. 37, no. 11, pp. 2536-2546, 2018. Yitian Zhao, Yalin Zheng, Zhili Chen, Peng Liu, Yifan Zhao, Jiang Liu, Uniqueness-Driven Saliency Analysis For Automated Abnormalities Detection with Application to Retinal Diseases, Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 109-118, Granada, Spain, September, 2018. Yitian Zhao, JianyangXie, Yalin Zheng, Yonghuai Liu, Pan Su, Yifan Zhao, Jun Cheng, Jiang Liu, Retinal Artery and Vein Classification via Dominant Sets Clustering-based Vascular Topology Estimation, Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention pp. 56-64, Granada, Spain, September, 2018 Huazhu Fu, Yanwu Xu, Stephen Lin, Damon Wing Kee Wong, Baskaran Mani, Meenakshi Mahesh, Tin Aung, Jiang Liu, "Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT", Proceedings of International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 356-363, 2018 Yifan Zhao, Ramon Laguna, Yitian Zhao, John Yianni, PtolemaiosSarrigiannis, Jimmy Liu Jiang and Xiong-xiong He, A wavelet-based correlation analysis framework to study cerebro-muscular activity in essential tremor, Complexity, 7269494, 2018. Personal Profile Research Artificial Intelligence: Develop automated artificial intelligence disease diagnosis algorithms and technologies based on medical images/ophthalmic images to realize automated, low-cost and high-precision ophthalmic disease screening. Precision medicine: through extensive cooperation with domestic and foreign hospitals, collect patient genetic and medical image data, and develop precision medicine algorithms and technologies based on human genes, medical images and big data processing. Eye-brain linkage: Combine eye images and signals with brain images and signals to provide stimulation and feedback to the eye or brain, and realize diagnosis and intervention for eye and brain diseases (e.g. glaucoma and Alzheimer's disease). Surgical Robotics: Development of algorithms and technologies for automated medical surgical guidance and assistance based on medical images/ophthalmic imaging and medical robotics. Teaching Introduction To AI This course provides an introduction to artificial intelligence （AI）. Topics talked will help students to achieve the following 3 main objectives: 1) Highlight fundamental AI concepts: including agent, knowledge, search, game theory, reasoning, planning, learning, and importantly biological and psychological foundations behind AI development. 2) Introduce the current data driven deep learning AI models, algorithms and platforms: including the development of deep neural network and various popular deep learning network structures and development platforms. 3) Inspire student’s interest in AI: In order to encourage students to engage AI in their future careers and study, various AI applications will be introduced and discussed. Students are asked to work on AI application projects, group project presentation will be graded.  CS330. Multimedia Information Processing Lecture, 2 hours per week. Experiment, 2 hours per week, total of 64 hours，3 credits,. Pre-requesites: Computer Science and Technology and Intelligent Science and Technology. This course introduces the concepts, issues, design, implementation, standards and applications of multimedia technologies. The media to be considered include text, digital audio, digital image, digital video, and their integration. The course covers basics and applications of analog and digital media. It discusses the characteristics, mathematical foundation, compression and processing of digital multimedia data including: audio, image (JPEG) and video (MPEG). It also covers standards in digital multimedia data such as MP3, JPEG, MPEG as well as the environment in which digital multimedia data are used, including multimedia architecture, indexing and retrieval, hypermedia and WWW. Publications Read More 刘江主持过总值超过1亿2千万元的20余项新加坡和中国科研项目，在IEEE-TMI、JIAMA、CVPR、MICCAI等行业顶级国际期刊和会议发表280余篇，申请了50多项国际和国内专利，国际企业专利授权十余项。 News More 访问小R科技，推进ai应用教学 2024-04-03 刘江教授出席2024智能眼科论坛 2024-03-31 iMED眼科智能影像技术专著撰写启动 2024-03-26 People Read More PrevNext UpDown Join us 招聘博士后/研究助理教授南方科技大学智能医学影像团队——iMED中国（深圳）是由刘江教授领导的专注于眼科医学人工智能的科研团队。团队拥有独家的医疗大数据资源，充足的科研经费，同国际国内著名医院及设备厂家深入合作，是一支国际领先的医疗人工智能团队。由于行业的快速发展及不断更新，希望加入团队的人员有以下3点特质：（1）喜爱医学人工智能及医疗行业，希望在此行业长期发展;（2）有强烈的团队精神，对团队内成员谦虚谦让，对团队外合作伙伴真诚尊重;（3）有持续的学习能力（包括对交叉相关学科包括医学知识的学习能力）。1、研究方向1，基于眼科图像的人工智能研究2，基于眼脑多模态图像眼脑联动疾病诊断研究3，基于基因/病理/图像联合分析的精准医疗研究4，基于医学影像的辅助手术机器人研究2、招聘人数（1）博士后：4名（2）研究助理教授：1名3、招聘条件（1）具有理学/工学/医学博士学位（研究生招生除外）；（2）工作严谨、主动，具备高度的工作责任心和良好的团队精神及职业素养；（3）良好的科研背景和经验，高质量文章发表记录；满足以下条件之一优先：（4）有Python/MATLAB等编程经验，可以从事计算机图像处理机器学习/深度学习/模式识别/计算机视觉/人工智能算法开发；（5）手术导航系统及手术机器人研究开发经验；（6）眼科或脑神经科等医学图像处理研究经验。4、需提交的申请材料：（1）本人学习证明和工作简历及联系方式；（2）其它能证明个人专长或能力的材料。5、相关待遇：博士后：年薪30-35万研究助理教授：年薪30-45万6、工作地点：深圳市南方科技大学7、单位联系方式：胡老师 huy3@sustech.edu.cn团队负责人简介：http://faculty.sustech.edu.cn/?cat=29&tagid=liuj Read More Contact Us Contact Address Room 409, South Building, College of Engineering, 1088 Xueyuan Avenue, Shenzhen 518055, P.R. China Office Phone 075588015223 Email biax@mail.sustech.edu.cn