Jimmy LIU, Chair 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 AI

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

◆ 2025/01-NOW， Department of Computer Science and Engineering, Southern University of Science and Technology， Chair Professor
◆ 2019/02-2024/12， 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

1. 薛其坤，陈明伟，赵建华，刘江，郝祁，叶飞，刘绪. 人工智能赋能高等教育创新发展的南科大“样本”分析. 中国高等教育, 2024
2. 刘江，聂秋实，王星月，肖尊杰，章晓庆. 生成式人工智能背景下的弱监督学习教学法探索. 计算机教育, 2024.
3. 孙沛铖, 詹涵舒, 张爱, 朱宇昊，钟雨欢，章晓庆，刘江. 大语言模型驱动的学生评教智能分析法. 计算机教育, 2024.
4. 孙清扬，王天瑞，盛鹏，王谦益，章晓庆，刘江. 教育智能框架下计算机课程项目报告智能评估方法探索. 计算机教育, 2024.
5. Lin W, Hu Y, Fu H, et al. Instrument-tissue interaction detection framework for surgical video understanding[J]. IEEE Transactions on Medical Imaging, 2024.
6. Li H, Lin Z, Qiu Z, et al. Enhancing and adapting in the clinic: source-free unsupervised domain adaptation for medical image enhancement[J]. IEEE Transactions on Medical Imaging, 2023, 43(4): 1323-1336.
7. Mou L, Yan Q, Lin J, et al. COSTA: A Multi-center TOF-MRA Dataset and A Style Self-Consistency Network for Cerebrovascular Segmentation[J]. IEEE transactions on medical imaging, 2024.
8. Zhang T, Zheng S, Cheng J, et al. Structure and Intensity Unbiased Translation for 2D Medical Image Segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
9. Guo X, Wen H, Hao H, et al. Randomness-restricted Diffusion Model for Ocular Surface Structure Segmentation[J]. IEEE Transactions on Medical Imaging, 2024.
10. 刘江,章晓庆.多媒体信息处理的主动学习教学框架[J].计算机教育,2023(06):150-155.DOI:10.16512/j.cnki.jsjjy.2023.06.023.
11. Yinglin Zhang, Ruiling Xi, Lingxi Zeng, Towey Dave, Ruibin Bai, Higashita Risa, Jiang Liu. Structural Priors Guided Network for the Corneal Endothelial Cell Segmentation[J]. IEEE Transactions on Medical Imaging, 2023.
12. Jiansheng Fang, Jingwen Wang, Anwei Li, Yuguang Yan, Hongbo Liu, Jiajian Li, Huifang Yang, Yonghe Hou, Xuening Yang, Ming Yang, Jiang Liu. Parameterized Gompertz-guided Morphological AutoEncoder for Predicting Pulmonary Nodule Growth[J]. IEEE Transactions on Medical Imaging, 2023.
13. Zhongxi Qiu, Yan Hu, Xiaoshan Chen, Dan Zeng, Qingyong Hu, Jiang Liu. Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023.
14. Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hai Shu, Ke Niu, Yan Hu, Jiang Liu. A generic fundus image enhancement network boosted by frequency self-supervised representation learning[J]. Medical Image Analysis, 2023, 90: 102945.
15. 刘江, 章晓庆, 面向非计算机专业的人工智能导论课程建设与探索, 中国大学教学, 2022, 2022(1):46-51. (DOI:10.3969/j.issn.1005-0450.2022.01.009)
16. Lihong Zhou, Haofeng Liu, Xin Jiang, Alan D. Ziegler, Cesar Azorin-Molina, Jiang Liu, Zhenzhong Zeng*, An Artificial Intelligence Reconstruction of Global Gridded Surface Winds, Science Bulletin, 2022.
17. 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.
18. 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.
19. 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.
20. 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)
21. Jiansheng Fang*, Huazhu Fu, Jiang Liu*, Deep Triplet Hashing Network for Case-based Medical Image Retrieval, Medical Image Analysis, 2021, 69:101981.
22. 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.
23. 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: 
24. 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
25. 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)
26. 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.
27. 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.
28. 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.
29. 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.
30. 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)
31. 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.
32. 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)
33. 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)
34. 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)
35. 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)
36. 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.
37. 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.
38. 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.
39. 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.
40. 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.
41. 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)
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. 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
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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
56. 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.
57. 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 .
58. 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.
59. 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.
60. 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
61. 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
62. 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.