Li, Yongjie / 李永杰

Curriculum Vitae [中文版] [Google Scholar]

PhD,Professor

School of Life Science and Technology

University of Electronic Science and Technology of China (UESTC)

No. 4, Section 2, North Jianshe Road, Chengdu, Sichuan, 610054

Email:liyj [AT] uestc [dot] edu [dot] cn

 


 

Papers and Book Chapters

 

 

2019

  1. 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(TIP), accepted, 2019. [pdf] [data & code]
  2. Yang Chen, Ming Zhang, Hong-Mei Yan, Yong-Jie Li, Kai-Fu Yang*. A New Ultrasound Speckle Reduction Algorithm Based on Superpixel Segmentation and Detail Compensation. Applied Sciences, 9(8),1693, 2019. [pdf]
  3. Kai-Fu Yang, Hui Li, Hulin Kuang, Chao-Yi Li, and Yong-Jie Li*. An Adaptive Method for Image Dynamic Range Adjustment. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 29 (3):640-652,2019. [pdf]

2018

  1. Tao Deng, Hongmei Yan*, Yong-Jie Li*,Learning to Boost Bottom-up Fixation Prediction in Driving Environments via Random Forest. IEEE Transactions on Intelligent Transportation Systems(TITS), 19 (9), 3059-3067, 2018. [pdf][dataset]
  2. Hulin Kuang, Kai-Fu Yang, 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(TITS),19(3):814-825, 2018. [pdf]

2017

  1. 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, 34 (8): 1448-1462,2017.
  2. Xuan Pu, Kai-Fu Yang, Yong-Jie Li*. A retinal adaptation model for HDR image compression. Chinese Conference on Computer Vision (CCCV), pp. 37-47,2017.
  3. Hulin Kuang, Xianshi Zhang, Yong-Jie Li*, Leanne Lai Hang Chan*, Hong Yan. Nighttime Vehicle Detection Based on Bio-Inspired Image Enhancement and Weighted Score-Level Feature Fusion. IEEE Trans. Intelligent Transportation Systems(TITS), 18(4):927-936, 2017.

2016

  1. Kai-Fu Yang, Hui Li, Chao-Yi Li, and Yong-Jie Li*. A Unified Framework for Salient Structure Detection by Contour-Guided Visual Search. IEEE Trans. Image Processing (TIP), 25(8): 3475-3488, 2016. [pdf] [code]
  2. Xian-Shi Zhang, Shao-Bing Gao, Ruo-Xuan Li, Xin-Yu Du, Chao-Yi Li, and Yong-Jie Li*. A Retinal Mechanism Inspired Color Constancy Model. IEEE Trans. Image Processing (TIP), 25 (3), 1219-1232, 2016. [pdf] [code]
  3. 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 (TITS), 17 (7): 2051-2062, 2016.[pdf]
  4. Xian-Shi Zhang, Yong-Jie Li. A Retina Inspired Model for High Dynamic Range Image Rendering. International Conference on Brain Inspired Cognitive Systems (BICS), 68-79, 2016.

2015

  1. Xian-Shi Zhang, Shao-Bing Gao, Chao-Yi Li, and Yong-Jie Li*. A Retina Inspired Model for Enhancing Visibility of Hazy Images. Frontiers in Computational Neuroscience, ID: 151, 1-16, 2015. [pdf] [code]
  2. Tao Xu, Hong-Mei Yan, Xue-Mei Song, Ming Li, Yong-Jie Li. Silent suppressive surrounds and optimal spatial frequencies of single neurons in cat V1. Neuroscience Letters, 597, 104-110, 2015.[pdf]
  3. Kai-Fu Yang, Xin Gao, Ju-Rong Zhao, and Yong-Jie Li*. Segmentation-based Salient Object Detection. Chinese Conference on Computer Vision (CCCV), Part I, CCIS 546, pp. 94–102, 2015.
  4. Kai-Fu Yang, Chao-Yi Li, and 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, 9:30, 2015. [pdf]
  5. 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 Trans. Image Processing (TIP), 24(8):2565-2578, 2015 [pdf] [code] <project page>
  6. 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 (PAMI), 37(10): 1973-1985,2015.[pdf] [code] <project page>
  7. Kai-Fu Yang, Shao-Bing Gao, Yong-Jie Li*. Efficient Illuminant Estimation for Color Constancy Using Grey Pixels. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [pdf] [code] <project page>
  8. Shaobing Gao, Wangwang Han, Yanze Ren, Yongjie Li*. High Dynamic Range Image Rendering with a Luminance-Chromaticity Independent Model. International Conference on Intelligence Science and Big Data Engineering (IScIDE), 2015. [pdf]

2014

  1. Kai-Fu Yang, Chao-Yi Li, and Yong-Jie Li*." Multifeature-based Surround Inhibition Improves Contour Detection in Natural Images." IEEE Trans. Image Processing (TIP), 23(12):5020-5032,2014. [pdf] [code] <project page>

  2. Shaobing Gao, Wangwang Han, Kaifu Yang, Chaoyi Li, Yongjie Li*. Efficient Color Constancy with Local Surface Reflectance Statistics. Proceeding of European Conference on Computer Vision (ECCV), Part II, LNCS 8690, 2014, PP.158-173 [pdf] [code & results] <project page>

2013

  1. Shaobing. Gao, Kaifu Yang, Chaoyi Li, Yongjie Li*. A Color Constancy Model with Double-Opponency Mechanisms. IEEE International Conference on Computer Vision (ICCV), 2013, pp.929-936. (oral, acceptance rate: 2.52%). [pdf] [code] <project page>

  2. 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. [pdf] [code] <project page>

  3. Kaifu Yang, Chaoyi Li, Yongjie Li*. Color-luminance cells in V1 with unbalanced cone-inputs contribute to extracting both color- and luminance-defined boundaries. The 9th Asia-Pacific Conference on Vision (APCV), July 5th-8th, 2013, Suzhou, China. (poster)

  4. Shaobing Gao, Chaoyi Li, Yongjie Li*. Do some double-opponent cells in V1 code the light source color of scenes? The 9th Asia-Pacific Conference on Vision (APCV), July 5th-8th, 2013, Suzhou, China. (poster)[pdf]

  5. Yongjie Li*, X Tang, C-Y Li. Disinhibition Among the Extra-Classical Receptive Field of Retinal Ganglion Cells Contributes to Color Constancy. The 36th European Conference on Visual Perception (ECVP), August 25~29, 2013, Bremen, Germany. (poster)

 2012

  1. Xinyu Du, Yongjie Li, Cheng Luo, and Dezhong Yao. Elitist Restruction Genetic Algorithm Based on Markov Random Field for Magnetic Resonance Image Segmentation. Journal of Electronic Science and Technology, 2012, 10(1): 83-87.

  2. Shaobing Gao, Yongjie Li*. A retinal mechanism based color constancy model. C.-L. Liu, C. Zhang, and L. Wang (Eds.): CCPR 2012, Communications in Computer and Information Science CCIS321, pp. 422–429, 2012.

  3. Kaifu Yang, Yongjie Li*. A Coutour Detection Model Based on Surround Inhibition with Multiple Cues. C.-L. Liu, C. Zhang, and L. Wang (Eds.): CCPR 2012, CCIS 321, pp. 145–152, 2012.

  4. Shuyan Li, Yongjie Li*, A Modified Selective Attention Model for Salient Region Detection in Real Scenes. C.-L. Liu, C. Zhang, and L. Wang (Eds.): CCPR 2012, CCIS 321, pp. 227–234, 2012.

  5. 杜馨瑜, 李永杰尧德中李朝义基于图像导数框架和非负稀疏编码的颜色恒常计算方法, 电子学报, 2012, 40(1):179-183.

  6. 杜馨瑜李永杰尧德中,一种模拟视觉机制的图像分割模型,中国生物医学工程学报,2012, 31(1):1-7.

 2011

  1. Chi Zeng, Yongjie Li*, Chaoyi Li. Center-Surround Interaction with Adaptive Inhibition: a Computational Model for Contour Detection. NeuroImage. 2011, 55(1): 49-66.(ISI:000287008900006).

  2. Chi Zeng, Yongjie Li*, Kaifu Yang, Chaoyi Li. Contour Detection Based on a Non-classical Receptive Field Model with Butterfly-shaped Inhibition Subregions, Neurocomputing, 2011, 74(10): 1527-1534.

  3. Yongjie Li*, Youheng Tan. Improving the IMRT Plan Quality by Minimizing the Discrepancy Between the Optimized and Segmented Intensity Maps. Medical Physics (AAPM'2011), 2011, 38(6): 3691-3691.

  4. Youheng Tan, Yongjie Li*. Jonathan Yao, A Solution to the Real-Time Safety Interlock Control of the Linac and the Externally Mounted Multi-Leaf CollimatorMedical Physics (AAPM'2011), 2011, 38(6): 3543-3543.

  5. Yongjie Li*, Chaoyi Li. A Color-opponency based Biological Model for Color Constancy. (APCV’2011),i-Perception, 2011, 2(4): 384.

  6. Ning Qian, Yongjie Li. Physiologically based models of binocular depth perception. a chapter in Vision in 3D Environments, L.R. Harris and M. Jenkin (Eds). Cambridge University Press, Cambridge, UK, ISBN: 9781107001756, 2011, pp. 11-45.

 2010

  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 Engineering2010, 57(3): 499-508.

  2. Youheng Tan, Yongjie Li*. Jonathan Yao, A fast DRR-based image regestrition algorithm for calculation of setup error in radiotherapy. Proc of IEEE International Conference on Medical Image Analysis and Clinical Applications (MIACA'2010), 127-130.

 2009

  1. Jie Lei, Yongjie Li*An approaching genetic algorithm for automatic beam angle selection in IMRT planning, Computer Methods and Programs in Biomedicine, 2009, 93(3), pp.257-265.

 2008

  1. Lei Jie, Yongjie Li*. A DNA Genetic Algorithm for Beam Angle Selection in Radiotherapy Planning. Proceeding of IEEE International Conference on Cybernetics and Intelligent Systems(CIS), 2008, p1331-1336

  2. Li Long, Yongjie Li*. Contour Detection Based On the Property of Orientation Selective Inhibition of Nonclassical Receptive Field. Proceeding of IEEE International Conference on Cybernetics and Intelligent Systems(CIS), 2008, p1002-1006

  3. Pei Jiang, Yongjie Li*. A Hybrid Face Recognition Algorithm Based on WT, NMFs and SVM. Proceeding of IEEE International Conference on Cybernetics and Intelligent Systems(CIS) , 2008, p734-737

  4. XiaoYi Song, Yongjie Li*, Wufan Chen. A Textural Feature-Based Image Retrieval Algorithm. Proceeding of IEEE International Conference on Natural Computation (ICNC), 2008, Vol.4, p71-75

  5. Xinyu Du, Yongjie Li, Dezhong Yao. A Support Vector Machine Based Algorithm for Magnetic Resonance Image Segmentation. Proceeding of IEEE International Conference on Natural Computation (ICNC), 2008, Vol.3, p49-53

 2007

  1. Yongjie Li, Weifu Xie, Dezhong Yao. A Preliminary Study of Automatic Delineation of Eyes on CT Images using Ant Colony Optimization. Journal of Electronic Science and Technology of China, 2007, 5(1), p66-69

  2. Yongjie Li, Dezhong Yao. An optimization method to minimize the discrepancy between the optimized and segmented intensity maps in IMRT planning. Proceedings of The Seventh Asia-Oceania Congress on Medical Physics (AOCMP), p52-53, 2007

  3. Jie Lei, Yongjie Li*. A DNA-genetic algorithm for automatic beam angle selection in IMRT planning. Proceedings of The Seventh Asia-Oceania Congress on Medical Physics (AOCMP), p133-134, 2007

 2006

  1. Yongjie Li, Dezhong Yao. Ant Colony System for the Beam Angle Optimization Problem in Radiotherapy Planning. Chapter in "Systems Engineering using Swarm Particle Optimisation", N. Nedjah, L. M. Mourelle (Eds.), Nova Science Publishers, NY, ISBN: 1-60021-119-4, 2006, p31-54

  2. Yongjie Li, Dezhong Yao, Jiancheng Zheng, Jonathan Yao. A modified genetic algorithm for the beam angle optimization problem in intensity-modulated radiotherapy planning. Lecture Notes in Computer Science (LNCS), 3871, pp.97-106, 2006

  3. Xinyu Du, Yongjie Li, Wufan Chen, Yi Zhang, Dezhong Yao. A Markov Random Field based Hybrid Algorithm with Simulated Annealing and Genetic Algorithm for Image Segmentation. ICNC'2006-FSKD'2006, LNCS, 4221, p706-715

  4. Xinyu Du, Yongjie Li, Dezhong Yao. An Adaptive Algorithm for Image Denoising Based on Fuzzy Gibbs Random Fields. ICCCAS’2006, p467-471

  5. Yongjie Li, Dezhong Yao. Accelerating the Radiotherapy Planning with a Hybrid Method of Genetic Algorithm and Ant Colony System. 2006, LNCS-II, 4222, p340-349

  6. Yongjie Li, Dezhong Yao. Expert knowledge guided genetic algorithm for beam angle optimization problem in intensity-modulated radiotherapy planning. 2006, Lecture Notes in Control and Information Science (LNCIS) 345, pp. p834- 839

  7. Yongjie Li, Dezhong Yao, Optimizing the MLC apertures for conformal radiotherapy with a hybrid algorithm, Medical Physics. 2006, 33(6), p2126-2127

 2005

  1. Yongjie Li, Dezhong Yao, Jonathan Yao, Wufan Chen. A particle swarm optimization algorithm for beam angle selection in intensity-modulated radiotherapy planning. Phys. Med. Biol. 2005, Vol.50 (15), p3491-3514.

  2. Yongjie Li. Study on the optimization algorithms for intensity-modulated radiation therapy. Journal of Electronic Science and Technology of China, 2005, Vol.3(1), p95-96

  3. Yongjie Li, Dezhong Yao, Jiancheng Zheng and Jonathan Yao. The application of genetic algorithm for beam directions optimization in radiotherapy. 2005 International Conference on Communications, Circuits and Systems Proceedings (ICCCAS'05), 2005, Vol.2, p921-925.

  4. Dezhong Yao, Min Zeng and Yongjie Li. Chaotic simulated annealing algorithm applied to ERP dipole localization. 2005 International Conference on Communications, Circuits and Systems Proceedings (ICCCAS'05), 2005, Vol.2, p908-911.

  5. Yongjie Li, Dezhong Yao, Wufan Chen, Jiancheng Zheng and Jonathan Yao. Adaptive particle swarm optimizer for beam angle selection in radiotherapy planning. Proceedings of the IEEE International Conference on Mechatronics and Automation (ICMA’05), 2005, p421-425.

  6. Yongjie Li, Dezhong Yao, Wufan Chen, Jiancheng Zheng, Jonathan Yao. Ant colony system for the beam angle optimization problem in radiotherapy planning: A preliminary study. 2005 IEEE Congress on Evolutionary Computation Proceedings (CEC’2005), 2005, vol.2, p1532-1538.

  7. Lijun Qiu, Yongjie Li and Dezhong Yao. A feasibility study of EEG dipole source localization using particle swarm optimization. 2005 IEEE Congress on Evolutionary Computation Proceedings (CEC’2005), 2005, vol.1, p720-726.

  8. Yongjie Li, Dezhong Yao, Jonathan Yao. Optimization of Beam Angles in IMRT Using Ant Colony Optimization Algorithm. International Journal of Radiation Oncology, Biology, Physics, 2005, Vol.63, Supplement 1 (ASTRO’2005). pp.S492-S493.

 Year of 2004 and before

  1. Yongjie Li, Jonathan Yao, Dezhong Yao. Automatic beam angles selection in IMRT planning using genetic algorithm. Physics in Medicine and Biology, 2004, 49(10), p1915-1932

  2. Yongjie Li, Jonathan Yao and Dezhong Yao. Automatic beam angles selection for IMRT planning with orientation constraints (abstract), Medical Physics. 2004, Vol.31(6), p1865-1866

  3. Yongjie Li, Jonathan Yao and Dezhong Yao. Genetic algorithm based deliverable segments optimization for static intensity-modulated radiotherapy. Physics in Medicine and Biology, 2003, Vol.48(20), p3353-3374  

  4. Yongjie Li, Jonathan Yao and Dezhong Yao. Genetic algorithm based automatic beam angles selection in IMRT (abstract), Medical Physics. 2003, Vol.30(6), p1373

  5. Yongjie Li, Jonathan Yao and Dezhong Yao. Aperture based optimization for static IMRT using genetic algorithm (abstract), Medical Physics. 2003, Vol.30(6), p1372

  6. Yongjie Li, Jonathan Yao and Dezhong Yao. Direct optimization of segments for intensity-modulated radiotherapy (abstract). Medical Physics, 2002, 29(6), p1259-1260

  7. Yongjie Li, Jonathan Yao and Dezhong Yao. Problem-dependent simulated annealing for inverse treatment planning (abstract). Medical Physics, 2002, 29(6), p1259

  8. Yongjie Li, Jonathan Yao and Dezhong Yao. An efficient composite simulated annealing algorithm for global optimization. International Conference on Communications. Circuits and Systems and West Sino Exposition Proceedings, 2002, Vol.2, p1165-1169
 
 

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  latest update: 02-May-2019