生命科学与技术学院
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| 导师代码： |
10465
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| 导师姓名： |
李永杰
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| 性 别： |
男 |
| 特 称： |
教育部新世纪优秀人才
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| 职 称： |
教授
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| 学 位： |
工学博士学位
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| 属 性： |
专职 |
| 电子邮件： |
liyj@uestc.edu.cn
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| 学术经历：
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1989.09-1993.07：获得成都理工大学应用地球物理专业学士学位；
1993.09-1996.07：获得成都理工大学应用地球物理专业硕士学位；
2000.02-2004.06：获得电子科技大学生物医学工程专业博士学位；
2004.07-2005.08：任电子科技大学生命科学与技术学院讲师；
2005.09-2008.07：任电子科技大学生命科学与技术学院副教授；
2008.08-至今：任电子科技大学生命科学与技术学院教授；
2009.09-2010.09：在Dept of Neuroscience, Columbia University做访问学者；
2011.10-至今：任电子科技大学生命科学与技术学院博士生导师。
实验室主页：http://www.neuro.uestc.edu.cn/vccl/home.html
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| 个人简介：
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2007年入选教育部新世纪优秀人才支持计划，2009被遴选为四川省学术和技术带头人后备人选。先后主持国家自然基金项目、973项目子课题等国家及省部级项目十余项，作为研究骨干先后参与国家自然基金重点项目、973课题等多项。
目前已以第一作者或通讯作者身份在IEEE Trans on PAMI / IP / ITS / BME、Optics Express、NeuroImage等国际刊物及计算机视觉领域的国际顶级会议ICCV/CVPR/ECCV等上发表(或录用)学术论文90余篇。论文被引1500+次(Google Scholar)。已申请中国发明专利30余项（其中已授权20余项）。参编国外英文专著2部、中文研究生教材1部。获中国吴文俊人工智能自然科学三等奖（排名第一）。
已培养的博士中有2人获得中国图象图形学学会等全国一级学会的优秀博士学位论文奖（提名）；指导硕士和本科生在全国大学生生物医学工程创新设计竞赛等国家级竞赛中获奖5项。
现任中国自动化学会生物控制论与生物医学工程专业委员会主任委员（2018.10~）、中国电子学会生物医学电子学分会副主任委员（2018.5~）、中国计算机学会（CCF）计算机视觉专委会委员等，是IEEE Senior Member、中国电子学会高级会员；担任IEEE Access、IET Image Processing等国际SCI期刊的Associate Editor，是IEEE Trans on PAMI / IP / NNLS / MI / EC、IJCV、Pattern Recognition等国际重要刊物及ICCV/CVPR/ECCV等国际重要学术会议的审稿人。
目前的主要研究方向：
（1）大脑视觉系统的信息处理机制、计算机建模及其在计算机视觉（图像/视频处理）中的应用；
（2）智能医学图像处理。
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| 科研项目：
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[1] 广东省重点领域研发计划项目，类脑智能关键技术及系统研究，#2018B030338001，2019-2021，子课题；
[2] 四川省科技计划项目—应用基础研究（重大前沿），基于脑机理的智能环境感知技术及其在辅助驾驶中的应用研究，2017JY0249，2017-2019；
[3] 国家自然科学基金"视听觉信息的认知计算"重大研究计划培育项目，基于生物视觉感知机理的高效图像处理技术研究（#91420105），2015 - 2017；
[4] 国家自然科学基金面上项目，基于生物视觉机理的颜色恒常性算法研究（#61375115），2014 - 2017；
[5] 973课题（与上海交大、****科大联合承担），视认知编码与脑信息融合机制研究（#2013CB329401），2013~2017；
[6] 国家自然科学基金面上项目，基于自适应非经典感受野机制的视觉选择性注意模型研究（#61075109），2011-2013；
[7] 教育部新世纪优秀人才支持计划项目，基于视觉神经信息处理机制的医学影像分析理论及应用基础研究（NCET-07-0151），2008~2010。
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| 研究成果：
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2010年以来的部分代表性论文（*代表通讯作者）[最近更新: 2022-03-20]：
[42] Fuya Luo, Yunhan Li, Guang Zeng, Peng Peng, Gang Wang*, Yongjie Li*, Thermal Infrared Image Colorization for Nighttime Driving Scenes With Top-Down Guided Attention. IEEE Transactions on Intelligent Transportation Systems, 2022, DOI: 10.1109/TITS.2022.3145476.
[41] Long Qin, Yi Shi, Yahui He, Junrui Zhang, Xianshi Zhang, Yongjie Li, Tao Deng*, Hongmei Yan*, ID-YOLO: Real-Time Salient Object Detection Based on the Driver's Fixation Region. IEEE Transactions on Intelligent Transportation Systems, 2022, DOI: 10.1109/TITS.2022.3146271.
[40] Shi-Xuan Zhao#, Yang Chen#, Kai-Fu Yang, Yan Luo, Bu-Yun Ma*, Yong-Jie Li*, A Local and Global Feature Disentangled Network: Toward Classification of Benign-malignant Thyroid Nodules from Ultrasound Image. IEEE Transactions on Medical Imaging, 2022, DOI: 10.1109/TMI.2022.3140797.
[39] Yubo Tan, Kai-Fu Yang*, Shi-Xuan Zhao, Yong-Jie Li, Retinal Vessel Segmentation with Skeletal Prior and Contrastive Loss. IEEE Transactions on Medical Imaging, 2022, DOI: 10.1109/TMI.2022.3161681.
[38] Teng Qiu, Yong-Jie Li*, Fast LDP-MST: an efficient density-peak-based clustering method for large-size datasets. IEEE Transactions on Knowledge and Data Engineering, 2022, DOI: 10.1109/TKDE.2022.3150403.
[37] De-Huai He, Kai-Fu Yang*, Xue-Mei Wan, Fen Xiao, Hong-Mei Yan, Yong-Jie Li, A New Representation of Scene Layout Improves Saliency Detection in Traffic Scenes. Expert Systems with Applications, 2022, 193: 116425.
[36] Peng Peng, Kai-Fu Yang*, Yong-Jie Li, Global prior guided fusion network for salient object detection. Expert Systems with Applications, 2022, 193: 116805.
[35] Peng Peng, Kai-Fu Yang*, Si-Qin Liang, Yong-Jie Li, Contour-guided Saliency Detection with Long-range Interactions. Neurocomputing, 2022, 488: 345-358.
[34] Peng Peng, Kai-Fu Yang, Fu-Ya Luo, Yong-Jie Li*, Saliency Detection Inspired by Topological Perception Theory, International Journal of Computer Vision, 2021, 129: 2352-2374.
[33] Jianglan Wang, Yong-Jie Li, Kai-Fu Yang*, Retinal fundus Image Enhancement with Image Decomposition and Visual Adaptation, Computers in Biology and Medicine, 2021, 128, 104116.
[32] Xian-Shi Zhang, Kai-fu Yang, Yong-Jie Li*, Haze removal with channel-wise scattering coefficient awareness based on grey pixels, Optics Express, 2021, 29(11): 16619-16638.
[31] Xian-Shi Zhang, Yong-Bo Yu, Kai-Fu Yang, Yong-Jie Li*, A fish retina-inspired single image dehazing method, IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(4): 1875-1888.
[30] Peng Peng, Kai-Fu Yang, Yong-Jie Li*, A Computational Model for Gestalt Proximity Principle on Dot Patterns and Beyond, Journal of Vision, 2021, 21(5): 23, 1-21.
[29] Shixuan Zhao, Zhidan Li, Yang Chen, Wei Zhao, Xingzhi Xie, Jun Liu*, Di Zhao*, Yongjie Li*, SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images, Pattern Recognition, 2021, 119: 108109.
[28] Zhidan Li#, Shixuan Zhao#, Yang Chen*, Fuya Luo, Zhiqing Kang, Shengping Cai, Wei Zhao, Jun Liu, Di Zhao, Yongjie Li*, A Deep-Learning-Based Framework for Severity Assessment of COVID-19 with CT Images. Expert Systems with Applications, 2021, 185: 115616.
[27] Teng Qiu, Yong-Jie Li*, Enhancing in-tree-based clustering via distance ensemble and kernelization, Pattern Recognition, 2021, 112, 107731.
[26] Yijun Cao, Chuan Lin*, Yong-Jie Li, Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss, IEEE Transactions on Multimedia, 2021, 23: 761-771.
[25] Xian-Shi Zhang, Kai-Fu Yang, Jun Zhou, Yong-Jie Li*, Retina Inspired Tone Mapping Method for High Dynamic Range Images, Optics Express, 2020, 28(5): 5953-5964.
[24] Kai-Fu Yang, Xian-Shi Zhang, Yong-Jie Li*, A Biological Vision Inspired Framework for Image Enhancement in Poor Visibility Conditions, IEEE Transactions on Image Processing, 2020, 29(1): 1493-1506.
[23] Shao-Bing Gao, Ming Zhang, Yong-Jie Li*, Improving color constancy by selecting suitable set of training images, Optics Express, 2019, 27(18): 25611-25633.
[22] Shao-Bing Gao, Yan-Ze Ren, Ming Zhang, Yong-Jie Li*, Combining Bottom-Up and Top-Down Visual Mechanisms for Color Constancy Under Varying Illumination, IEEE Transactions on Image Processing, 2019, 28(9): 4387-4400.
[21] Shao-Bing Gao, Ming Zhang, Qian Zhao, Xian-Shi Zhang, Yong-Jie Li*, Underwater Image Enhancement using Adaptive Retinal Mechanisms, IEEE Transactions on Image Processing, 2019, 28(11): 5580-5595.
[20] Shao-Bing Gao, Ming Zhang, Yong-Jie Li*, Improving color constancy by selecting suitable set of training images, Optics Express, 2019, 27(18): 25611-25633.
[19] Hulin Kuang, Kai-Fu Yang, Long Chen, Yong-Jie Li*, Leanne Lai Hang Chan*, Hong Yan, Bayes Saliency-Based Object Proposal Generator for Nighttime Traffic Images, IEEE Transactions on Intelligent Transportation Systems, 2018, 19(3): 814-825.
[18] Tao Deng, Hongmei Yan*, YongJie Li*, Learning to Boost Bottom-up Fixation Prediction in Driving Environments via Random Forest, IEEE Transactions on Intelligent Transportation Systems, 2018, 19(9): 3059-3067.
[17] Kai-Fu Yang, Hui Li, Hulin Kuang, Chao-Yi Li, Yong-Jie Li*, An Adaptive Method for Image Dynamic Range Adjustment, IEEE Transactions on Circuits and Systems for Video Technology, 2019, 29(3): 640 - 652.
[16] Hulin Kuang, Xianshi Zhang, YongJie Li*, Leanne Lai Hang Chan*, Hong Yan, Nighttime Vehicle Detection Based on Bio-Inspired Image Enhancement and Weighted Score-Level Feature Fusion, IEEE Transactions on Intelligent Transportation Systems, 2017, 18(4): 927-936.
[15] Shao-Bing Gao, Ming Zhang, Chao-Yi Li, Yong-Jie Li*, Improving Color Constancy by Discounting the Variation of Camera Spectral Sensitivity, Journal of the Optical Society of America A, 2017, 34(8): 1448-1462.
[14] Kai-Fu Yang, Hui Li, Chao-Yi Li, Yong-Jie Li*, A Unified Framework for Salient Structure Detection by Contour-Guided Visual Search, IEEE Transactions on Image Processing, 2016, 25(8): 3475-3488.
[13] Tao Deng, Kaifu Yang, Yongjie Li, Hongmei Yan*, Where does the driver look? Top-down based saliency detection in a traffic driving environment, IEEE Transactions on Intelligent Transportation Systems, 2016, 17(7): 2051-2062.
[12] Xian-Shi Zhang, Shao-Bing Gao, Ruo-Xuan Li, Xin-Yu Du, Chao-Yi Li, Yong-Jie Li*, A Retinal Mechanism Inspired Color Constancy Model, IEEE Transactions on Image Processing, 2016, 25(3): 1219-1232.
[11] Shao-Bing Gao, Kai-Fu Yang, Chao-Yi Li, Yong-Jie Li*, Color Constancy Using Double-Opponency, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(10): 1973-1985.
[10] Kai-Fu Yang, Shao-Bing Gao, Ce-Feng Guo, Chao-Yi Li, Yong-Jie Li*, Boundary Detection Using Double-Opponency and Spatial Sparseness Constraint, IEEE Transactions on Image Processing, 2015, 24(8): 2565-2578.
[9] Kai-Fu Yang, Chao-Yi Li, Yong-Jie Li*, Potential Roles of the Interaction Between Model V1 Neurons with Orientation-Selective and Non-selective Surround Inhibition in Contour Detection, Frontiers in Neural Circuits, 2015, Vol. 9, Article: 30, pp.1-16.
[8] Xian-Shi Zhang, Shao-Bing Gao, Chao-Yi Li, Yong-Jie Li*, A Retina Inspired Model for Enhancing Visibility of Hazy Images, Frontiers in Computational Neuroscience, 2015, 9: 151, pp.1-16.
[7] Kaifu Yang, Shaobing Gao, Yongjie Li*, Efficient Illuminant Estimation for Color Constancy Using Grey Pixels, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, 2254-2263.
[6] Kaifu Yang, Chaoyi Li, Yongjie Li*, Multifeature-Based Surround Inhibition Improves Contour Detection in Natural Images, IEEE Transactions on Image Processing, 2014, 23(12): 5020-5032.
[5] Shaobing Gao, Wangwang Han, Kaifu Yang, Chaoyi Li, Yongjie Li*, Efficient Color Constancy with Local Surface Reflectance Statistics, The European Conference on Computer Vision (ECCV'2014), Part II, LNCS 8690, pp. 158–173, 2014.（acceptance rate: 25.1%）
[4] Kaifu Yang, Shaobing Gao, Chaoyi Li, Yongjie Li*, Efficient Color Boundary Detection with Color-opponent Mechanisms, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, pp2810-2817.
[3] Shaobing Gao, Kaifu Yang, Chaoyi Li, Yongjie Li*, A Color Constancy Model with Double-Opponency Mechanisms, IEEE International Conference on Computer Vision (ICCV), 2013, pp929-936 (oral paper, acceptance rate: 2.52%).
[2] Chi Zeng, Yongjie Li*, Chaoyi Li, Center-Surround Interaction with Adaptive Inhibition: a Computational Model for Contour Detection, NeuroImage. 2011, 55(1): 49-66. (IF: 5.937)
[1] Yongjie Li*, Jie Lei, A Feasible Solution to the Beam-Angle-Optimization Problem in Radiotherapy Planning With a DNA-Based Genetic Algorithm, IEEE Transactions on Biomedical Engineering, 2010, 57(3): 499-508.
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| 专业研究方向：
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| 专业名称 |
研究领域/方向 |
招生类别 |
| 083100生物医学工程 |
01生物医学工程，04医学成像与医学图像/信号处理，07视觉认知与类脑计算 |
博士学术学位 |
| 085400电子信息 |
01不区分研究方向，02不区分研究方向（非全） |
博士专业学位 |
| 083100生物医学工程 |
02医学成像与图像处理技术，06视觉感知与认知机理，07计算神经科学与类脑智能 |
硕士学术学位 |
| 085409生物医学工程 |
01不区分研究方向，02不区分研究方向（非全） |
硕士专业学位 |
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