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Yongjie Li 0001
Person information
- affiliation: University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, China
Other persons with the same name
- Yongjie Li (aka: Yong-Jie Li) — disambiguation page
- Yongjie Li 0002 — East China Research Institute of Electronic Engineering, Department of Micro-System Technology, Hefei, China
- Yongjie Li 0003 — Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Yongjie Li 0004 — Information and Communication branch company of State Grid Henan Electric Power company, Communication transportation and inspection center, China
- Yongjie Li 0005 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
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2020 – today
- 2024
- [j49]Houwang Zhang, Kai-Fu Yang, Yong-Jie Li, Leanne Lai-Hang Chan:
Self-supervised network for low-light traffic image enhancement based on deep noise and artifacts removal. Comput. Vis. Image Underst. 246: 104063 (2024) - [j48]Xinxu Wei, Xi Lin, Yongjie Li:
DA-DRN: A degradation-aware deep Retinex network for low-light image enhancement. Digit. Signal Process. 144: 104256 (2024) - [j47]Shaobing Gao, Liangtian He, Yongjie Li:
Biologically inspired image invariance guided illuminant estimation using shallow and deep models. Expert Syst. Appl. 249: 123391 (2024) - [j46]Xiao Zhang, Chuan Lin, Fuzhang Li, Yijun Cao, Yongjie Li:
LVP-net: A deep network of learning visual pathway for edge detection. Image Vis. Comput. 147: 105078 (2024) - [j45]Yubo Tan, Kai-Fu Yang, Shixuan Zhao, Jianglan Wang, Longqian Liu, Yong-Jie Li:
Deep matched filtering for retinal vessel segmentation. Knowl. Based Syst. 283: 111185 (2024) - [j44]Wang-Wang Yu, Jingwen Jiang, Kai-Fu Yang, Hong-Mei Yan, Yong-Jie Li:
LGSNet: A Two-Stream Network for Micro- and Macro-Expression Spotting With Background Modeling. IEEE Trans. Affect. Comput. 15(1): 223-240 (2024) - [j43]Fuya Luo, Shu-Lin Liu, Yijun Cao, Kai-Fu Yang, Chang-Yong Xie, Yong Liu, Yongjie Li:
Nighttime Thermal Infrared Image Colorization With Feedback-Based Object Appearance Learning. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4745-4761 (2024) - [j42]Houwang Zhang, Kai-Fu Yang, Yongjie Li, Leanne Lai-Hang Chan:
Night-Time Vehicle Detection Based on Hierarchical Contextual Information. IEEE Trans. Intell. Transp. Syst. 25(10): 14628-14641 (2024) - [j41]Fuya Luo, Yijun Cao, Kai-Fu Yang, Gang Wang, Yongjie Li:
Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization of Traffic Scenes. IEEE Trans. Intell. Transp. Syst. 25(11): 15841-15855 (2024) - [j40]Yubo Tan, Wen-Da Shen, Ming-Yuan Wu, Gui-Na Liu, Shixuan Zhao, Yang Chen, Kai-Fu Yang, Yong-Jie Li:
Retinal Layer Segmentation in OCT Images With Boundary Regression and Feature Polarization. IEEE Trans. Medical Imaging 43(2): 686-700 (2024) - [c28]Xi Lin, Xinxu Wei, Shixuan Zhao, Yongjie Li:
Vascular Skeleton Deformation Evaluation Based on the Metric of Sinkhorn Distance. ISBI 2024: 1-5 - [i30]Wang-Wang Yu, Xian-Shi Zhang, Fuya Luo, Yijun Cao, Kai-Fu Yang, Hong-Mei Yan, Yong-Jie Li:
Weak Supervision with Arbitrary Single Frame for Micro- and Macro-expression Spotting. CoRR abs/2403.14240 (2024) - [i29]Xinxu Wei, Xi Lin, Haiyun Liu, Shixuan Zhao, Yongjie Li:
Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning. CoRR abs/2409.11508 (2024) - [i28]Wang-Wang Yu, Kai-Fu Yang, Xiangrui Hu, Jingwen Jiang, Hong-Mei Yan, Yong-Jie Li:
PESFormer: Boosting Macro- and Micro-expression Spotting with Direct Timestamp Encoding. CoRR abs/2410.18695 (2024) - 2023
- [j39]Yubo Tan, Shixuan Zhao, Kai-Fu Yang, Yong-Jie Li:
A lightweight network guided with differential matched filtering for retinal vessel segmentation. Comput. Biol. Medicine 160: 106924 (2023) - [j38]Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li:
Orientation and Context Entangled Network for Retinal Vessel Segmentation. Expert Syst. Appl. 217: 119443 (2023) - [j37]Kai-Fu Yang, Cheng Cheng, Shixuan Zhao, Hong-Mei Yan, Xian-Shi Zhang, Yong-Jie Li:
Learning to Adapt to Light. Int. J. Comput. Vis. 131(4): 1022-1041 (2023) - [j36]Kai-Fu Yang, Cheng Cheng, Shixuan Zhao, Hong-Mei Yan, Xian-Shi Zhang, Yong-Jie Li:
Correction to: Learning to Adapt to Light. Int. J. Comput. Vis. 131(7): 1875 (2023) - [j35]Yijun Cao, Xian-Shi Zhang, Fuya Luo, Peng Peng, Chuan Lin, Kai-Fu Yang, Yong-Jie Li:
Learning generalized visual odometry using position-aware optical flow and geometric bundle adjustment. Pattern Recognit. 136: 109262 (2023) - [j34]Teng Qiu, Yongjie Li:
Hierarchical nearest neighbor descent, in-tree, and clustering. Pattern Recognit. 137: 109300 (2023) - [j33]Yijun Cao, Xian-Shi Zhang, Fuya Luo, Chuan Lin, Yong-Jie Li:
Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment. IEEE Trans. Circuits Syst. Video Technol. 33(10): 6173-6184 (2023) - [j32]Teng Qiu, Yong-Jie Li:
Fast LDP-MST: An Efficient Density-Peak-Based Clustering Method for Large-Size Datasets. IEEE Trans. Knowl. Data Eng. 35(5): 4767-4780 (2023) - [c27]Yijun Cao, Fuya Luo, Yongjie Li:
Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation. ICIG (1) 2023: 81-92 - [i27]Wang-Wang Yu, Kai-Fu Yang, Hong-Mei Yan, Yong-Jie Li:
Weakly-supervised Micro- and Macro-expression Spotting Based on Multi-level Consistency. CoRR abs/2305.02734 (2023) - [i26]Fuya Luo, Shu-Lin Liu, Yijun Cao, Kai-Fu Yang, Chang-Yong Xie, Yong Liu, Yong-Jie Li:
Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning. CoRR abs/2310.15688 (2023) - 2022
- [j31]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 Syst. Appl. 193: 116425 (2022) - [j30]Peng Peng, Kai-Fu Yang, Yong-Jie Li:
Global-prior-guided fusion network for salient object detection. Expert Syst. Appl. 198: 116805 (2022) - [j29]Peng Peng, Kai-Fu Yang, Si-Qin Liang, Yong-Jie Li:
Contour-guided saliency detection with long-range interactions. Neurocomputing 488: 345-358 (2022) - [j28]Xian-Shi Zhang, Yong-Bo Yu, Kai-Fu Yang, Yong-Jie Li:
A Fish Retina-Inspired Single Image Dehazing Method. IEEE Trans. Circuits Syst. Video Technol. 32(4): 1875-1888 (2022) - [j27]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 Trans. Intell. Transp. Syst. 23(9): 15808-15823 (2022) - [j26]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 Trans. Intell. Transp. Syst. 23(9): 15898-15908 (2022) - [j25]Shixuan 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 Trans. Medical Imaging 41(6): 1497-1509 (2022) - [j24]Yubo Tan, Kai-Fu Yang, Shixuan Zhao, Yong-Jie Li:
Retinal Vessel Segmentation With Skeletal Prior and Contrastive Loss. IEEE Trans. Medical Imaging 41(9): 2238-2251 (2022) - [c26]Xinxu Wei, Xiangke Niu, Xianshi Zhang, Yongjie Li:
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays. IEEE Big Data 2022: 5361-5369 - [c25]Xinxu Wei, Xian-Shi Zhang, Yongjie Li:
TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement. ICANN (3) 2022: 286-298 - [i25]Kai-Fu Yang, Cheng Cheng, Shixuan Zhao, Xian-Shi Zhang, Yong-Jie Li:
Learning to Adapt to Light. CoRR abs/2202.08098 (2022) - [i24]Xinxu Wei, Haohan Bai, Xian-Shi Zhang, Yongjie Li:
Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays. CoRR abs/2207.11393 (2022) - [i23]Xinxu Wei, Kaifu Yang, Danilo Bzdok, Yongjie Li:
Orientation and Context Entangled Network for Retinal Vessel Segmentation. CoRR abs/2207.11396 (2022) - [i22]Fuya Luo, Yijun Cao, Kai-Fu Yang, Yong-Jie Li:
Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization. CoRR abs/2208.02960 (2022) - [i21]Yijun Cao, Xianshi Zhang, Fuya Luo, Yongjie Li:
Unsupervised Vision and Vision-motion Calibration Strategies for PointGoal Navigation in Indoor Environment. CoRR abs/2210.00413 (2022) - 2021
- [j23]Jianglan Wang, Yong-Jie Li, Kai-Fu Yang:
Retinal fundus image enhancement with image decomposition and visual adaptation. Comput. Biol. Medicine 128: 104116 (2021) - [j22]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 Syst. Appl. 185: 115616 (2021) - [j21]Peng Peng, Kai-Fu Yang, Fuya Luo, Yong-Jie Li:
Saliency Detection Inspired by Topological Perception Theory. Int. J. Comput. Vis. 129(8): 2352-2374 (2021) - [j20]Teng Qiu, Yongjie Li:
Enhancing in-tree-based clustering via distance ensemble and kernelization. Pattern Recognit. 112: 107731 (2021) - [j19]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 Recognit. 119: 108109 (2021) - [j18]Yijun Cao, Chuan Lin, Yong-Jie Li:
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss. IEEE Trans. Multim. 23: 761-771 (2021) - [c24]Fuya Luo, Yijun Cao, Yongjie Li:
Nighttime Thermal Infrared Image Colorization with Dynamic Label Mining. ICIG (3) 2021: 388-399 - [c23]Wang-Wang Yu, Jingwen Jiang, Yong-Jie Li:
LSSNet: A Two-stream Convolutional Neural Network for Spotting Macro- and Micro-expression in Long Videos. ACM Multimedia 2021: 4745-4749 - [i20]Yijun Cao, Chuan Lin, Yong-Jie Li:
Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss. CoRR abs/2102.01301 (2021) - [i19]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. CoRR abs/2104.14374 (2021) - [i18]Xinxu Wei, Xian-Shi Zhang, Shisen Wang, Cheng Cheng, Yanlin Huang, Kaifu Yang, Yongjie Li:
BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration. CoRR abs/2106.15953 (2021) - [i17]Xinxu Wei, Xian-Shi Zhang, Shisen Wang, Cheng Cheng, Yanlin Huang, Kaifu Yang, Yongjie Li:
DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement. CoRR abs/2110.01809 (2021) - [i16]Xinxu Wei, Xian-Shi Zhang, Shisen Wang, Yanlin Huang, Yongjie Li:
TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement. CoRR abs/2110.02477 (2021) - [i15]Yijun Cao, Xian-Shi Zhang, Fuya Luo, Peng Peng, Yongjie Li:
Robust Visual Odometry Using Position-Aware Flow and Geometric Bundle Adjustment. CoRR abs/2111.11141 (2021) - 2020
- [j17]Kai-Fu Yang, Xian-Shi Zhang, Yong-Jie Li:
A Biological Vision Inspired Framework for Image Enhancement in Poor Visibility Conditions. IEEE Trans. Image Process. 29: 1493-1506 (2020) - [i14]Peng Peng, Yong-Jie Li:
A Unified Structure for Efficient RGB and RGB-D Salient Object Detection. CoRR abs/2012.00437 (2020)
2010 – 2019
- 2019
- [j16]Kai-Fu Yang, Hui Li, Hulin Kuang, Chao-Yi Li, Yong-Jie Li:
An Adaptive Method for Image Dynamic Range Adjustment. IEEE Trans. Circuits Syst. Video Technol. 29(3): 640-652 (2019) - [j15]Shao-Bing Gao, Yanze Ren, Ming Zhang, Yong-Jie Li:
Combining Bottom-Up and Top-Down Visual Mechanisms for Color Constancy Under Varying Illumination. IEEE Trans. Image Process. 28(9): 4387-4400 (2019) - [j14]Shao-Bing Gao, Ming Zhang, Qian Zhao, Xian-Shi Zhang, Yong-Jie Li:
Underwater Image Enhancement Using Adaptive Retinal Mechanisms. IEEE Trans. Image Process. 28(11): 5580-5595 (2019) - [c22]Shixuan Zhao, Bo Wang, Kaifu Yang, Yongjie Li:
Automatic Spine Curvature Estimation by a Top-Down Approach. CSI@MICCAI 2019: 75-80 - [c21]Teng-Fei Zhan, Ming Ye, Wen-Wen Jiang, Yongjie Li, Kaifu Yang:
Fixation Prediction based on Scene Contours. SSCI 2019: 2548-2554 - [c20]Wen-Wen Jiang, Kai-Fu Yang, Yong-Jie Li:
A Video Salient Object Detection Model Guided by Spatio-Temporal Prior. SSCI 2019: 2555-2562 - [c19]Wang-Wang Yu, Yong-Jie Li:
Fast Face Recognition Model without Pruning. SSCI 2019: 2563-2570 - [i13]Kai-Fu Yang, Wen-Wen Jiang, Teng-Fei Zhan, Yong-Jie Li:
Line Drawings of Natural Scenes Guide Visual Attention. CoRR abs/1912.09581 (2019) - 2018
- [j13]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 Trans. Intell. Transp. Syst. 19(3): 814-825 (2018) - [j12]Tao Deng, Hongmei Yan, Yong-Jie Li:
Learning to Boost Bottom-Up Fixation Prediction in Driving Environments via Random Forest. IEEE Trans. Intell. Transp. Syst. 19(9): 3059-3067 (2018) - [c18]Teng Qiu, Chaoyi Li, Yongjie Li:
D-NND: A Hierarchical Density Clustering Method via Nearest Neighbor Descent. ICPR 2018: 1414-1419 - 2017
- [j11]Hulin Kuang, Xian-Shi 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. Intell. Transp. Syst. 18(4): 927-936 (2017) - [c17]Teng Qiu, Yongjie Li:
Clustering Based on the In-Tree Graph Structure and Affinity Propagation. ACPR 2017: 670-675 - [c16]Xuan Pu, Kaifu Yang, Yongjie Li:
A Retinal Adaptation Model for HDR Image Compression. CCCV (1) 2017: 37-47 - 2016
- [j10]Xian-Shi Zhang, Shao-Bing Gao, Ruo-Xuan Li, Xinyu Du, Chao-Yi Li, Yong-Jie Li:
A Retinal Mechanism Inspired Color Constancy Model. IEEE Trans. Image Process. 25(3): 1219-1232 (2016) - [j9]Kai-Fu Yang, Hui Li, Chao-Yi Li, Yong-Jie Li:
A Unified Framework for Salient Structure Detection by Contour-Guided Visual Search. IEEE Trans. Image Process. 25(8): 3475-3488 (2016) - [j8]Tao Deng, Kaifu Yang, Yongjie Li, Hongmei Yan:
Where Does the Driver Look? Top-Down-Based Saliency Detection in a Traffic Driving Environment. IEEE Trans. Intell. Transp. Syst. 17(7): 2051-2062 (2016) - [c15]Xian-Shi Zhang, Yong-Jie Li:
A Retina Inspired Model for High Dynamic Range Image Rendering. BICS 2016: 68-79 - [i12]Shao-Bing Gao, Ming Zhang, Chao-Yi Li, Yong-Jie Li:
Improving Color Constancy by Discounting the Variation of Camera Spectral Sensitivity. CoRR abs/1609.01670 (2016) - 2015
- [j7]Xian-Shi Zhang, Shao-Bing Gao, Chao-Yi Li, Yong-Jie Li:
A Retina Inspired Model for Enhancing Visibility of Hazy Images. Frontiers Comput. Neurosci. 9: 151 (2015) - [j6]Shao-Bing Gao, Kai-Fu Yang, Chao-Yi Li, Yong-Jie Li:
Color Constancy Using Double-Opponency. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 1973-1985 (2015) - [j5]Li Dong, Pu Wang, Yi Bin, Jiayan Deng, Yongjie Li, Leiting Chen, Cheng Luo, Dezhong Yao:
Local Multimodal Serial Analysis for Fusing EEG-fMRI: A New Method to Study Familial Cortical Myoclonic Tremor and Epilepsy. IEEE Trans. Auton. Ment. Dev. 7(4): 311-319 (2015) - [j4]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 Process. 24(8): 2565-2578 (2015) - [c14]Kai-Fu Yang, Xin Gao, Ju-Rong Zhao, Yong-Jie Li:
Segmentation-Based Salient Object Detection. CCCV (1) 2015: 94-102 - [c13]Kai-Fu Yang, Shao-Bing Gao, Yong-Jie Li:
Efficient illuminant estimation for color constancy using grey pixels. CVPR 2015: 2254-2263 - [c12]Shaobing Gao, Wangwang Han, Yanze Ren, Yongjie Li:
High Dynamic Range Image Rendering with a Luminance-Chromaticity Independent Model. IScIDE (1) 2015: 220-230 - [i11]Teng Qiu, Yongjie Li:
A Generalized Affinity Propagation Clustering Algorithm for Nonspherical Cluster Discovery. CoRR abs/1501.04318 (2015) - [i10]Teng Qiu, Yongjie Li:
IT-map: an Effective Nonlinear Dimensionality Reduction Method for Interactive Clustering. CoRR abs/1501.06450 (2015) - [i9]Teng Qiu, Yongjie Li:
Clustering by Descending to the Nearest Neighbor in the Delaunay Graph Space. CoRR abs/1502.04502 (2015) - [i8]Teng Qiu, Yongjie Li:
Nonparametric Nearest Neighbor Descent Clustering based on Delaunay Triangulation. CoRR abs/1502.04837 (2015) - [i7]Kai-Fu Yang, Hui Li, Chao-Yi Li, Yong-Jie Li:
Salient Structure Detection by Context-Guided Visual Search. CoRR abs/1505.04364 (2015) - [i6]Teng Qiu, Yongjie Li:
A general framework for the IT-based clustering methods. CoRR abs/1506.06068 (2015) - [i5]Teng Qiu, Yongjie Li:
IT-Dendrogram: A New Member of the In-Tree (IT) Clustering Family. CoRR abs/1507.08155 (2015) - [i4]Teng Qiu, Yongjie Li:
H-NND: A New Member of the In-Tree (IT) Clustering Family. CoRR abs/1509.02805 (2015) - [i3]Teng Qiu, Yongjie Li:
Clustering by Deep Nearest Neighbor Descent (D-NND): A Density-based Parameter-Insensitive Clustering Method. CoRR abs/1512.02097 (2015) - 2014
- [j3]Kai-Fu Yang, Chao-Yi Li, Yong-Jie Li:
Multifeature-Based Surround Inhibition Improves Contour Detection in Natural Images. IEEE Trans. Image Process. 23(12): 5020-5032 (2014) - [c11]Shaobing Gao, Wangwang Han, Kaifu Yang, Chaoyi Li, Yongjie Li:
Efficient Color Constancy with Local Surface Reflectance Statistics. ECCV (2) 2014: 158-173 - [i2]Teng Qiu, Kaifu Yang, Chaoyi Li, Yongjie Li:
A Physically Inspired Clustering Algorithm: to Evolve Like Particles. CoRR abs/1412.5902 (2014) - [i1]Teng Qiu, Yongjie Li:
An Effective Semi-supervised Divisive Clustering Algorithm. CoRR abs/1412.7625 (2014) - 2013
- [c10]Kaifu Yang, Shaobing Gao, Chaoyi Li, Yongjie Li:
Efficient Color Boundary Detection with Color-Opponent Mechanisms. CVPR 2013: 2810-2817 - [c9]Shaobing Gao, Kaifu Yang, Chaoyi Li, Yongjie Li:
A Color Constancy Model with Double-Opponency Mechanisms. ICCV 2013: 929-936 - 2012
- [c8]Kaifu Yang, Yongjie Li:
A Coutour Detection Model Based on Surround Inhibition with Multiple Cues. CCPR 2012: 145-152 - 2011
- [j2]Chi Zeng, Yongjie Li, Kaifu Yang, Chaoyi Li:
Contour detection based on a non-classical receptive field model with butterfly-shaped inhibition subregions. Neurocomputing 74(10): 1527-1534 (2011) - [j1]Chi Zeng, Yongjie Li, Chaoyi Li:
Center-surround interaction with adaptive inhibition: A computational model for contour detection. NeuroImage 55(1): 49-66 (2011)
2000 – 2009
- 2008
- [c7]Xinyu Du, Yongjie Li, Dezhong Yao:
A Support Vector Machine Based Algorithm for Magnetic Resonance Image Segmentation. ICNC (3) 2008: 49-53 - [c6]Xiaoyi Song, Yongjie Li, Wufan Chen:
A Textural Feature-Based Image Retrieval Algorithm. ICNC (4) 2008: 71-75 - 2006
- [c5]Yongjie Li, Dezhong Yao:
Accelerating the Radiotherapy Planning with a Hybrid Method of Genetic Algorithm and Ant Colony System. ICNC (2) 2006: 340-349 - [c4]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 (1) 2006: 706-715 - 2005
- [c3]Yongjie Li, Dezhong Yao, Jiancheng Zheng, Jonathan Yao:
A Modified Genetic Algorithm for the Beam Angle Optimization Problem in Intensity-Modulated Radiotherapy Planning. Artificial Evolution 2005: 97-106 - [c2]Lijun Qiu, Yongjie Li, Dezhong Yao:
A feasibility study of EEG dipole source localization using particle swarm optimization. Congress on Evolutionary Computation 2005: 720-726 - [c1]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. Congress on Evolutionary Computation 2005: 1532-1538
Coauthor Index
aka: Kai-Fu Yang
aka: Xianshi Zhang
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