A Modified Genetic Algorithm for the Beam Angle Optimization Problem in Intensity-Modulated Radiotherapy Planning. - Yongjie Li 001; Dezhong Yao 001; Jiancheng Zheng; Jonathan Yao (Artificial Evolution, 2005)

Ant colony system for the beam angle optimization problem in radiotherapy planning: a preliminary study. - Yongjie Li 001; Dezhong Yao 001; Wufan Chen; Jiancheng Zheng; Jonathan Yao (Congress on Evolutionary Computation, 2005)

A feasibility study of EEG dipole source localization using particle swarm optimization. - Lijun Qiu; Yongjie Li 001; Dezhong Yao 001 (Congress on Evolutionary Computation, 2005)

A Markov Random Field Based Hybrid Algorithm with Simulated Annealing and Genetic Algorithm for Image Segmentation. - Xinyu Du; Yongjie Li 001; Wufan Chen; Yi Zhang 042; Dezhong Yao 001 (ICNC (1), 2006)

Accelerating the Radiotherapy Planning with a Hybrid Method of Genetic Algorithm and Ant Colony System. - Yongjie Li 001; Dezhong Yao 001 (ICNC (2), 2006)

A Support Vector Machine Based Algorithm for Magnetic Resonance Image Segmentation. - Xinyu Du; Yongjie Li 001; Dezhong Yao 001 (ICNC (3), 2008)

A Textural Feature-Based Image Retrieval Algorithm. - Xiaoyi Song; Yongjie Li 001; Wufan Chen (ICNC (4), 2008)

Contour detection based on a non-classical receptive field model with butterfly-shaped inhibition subregions. - Chi Zeng; Yongjie Li 001; Kaifu Yang; Chaoyi Li (Neurocomputing, 2011)

Center-surround interaction with adaptive inhibition: A computational model for contour detection. - Chi Zeng; Yongjie Li 001; Chaoyi Li (NeuroImage, 2011)

A Coutour Detection Model Based on Surround Inhibition with Multiple Cues. - Kaifu Yang; Yongjie Li 001 (CCPR, 2012)

Efficient Color Boundary Detection with Color-Opponent Mechanisms. - Kaifu Yang; Shaobing Gao; Chaoyi Li; Yongjie Li 001 (CVPR, 2013)

A Color Constancy Model with Double-Opponency Mechanisms. - Shaobing Gao; Kaifu Yang; Chaoyi Li; Yongjie Li 001 (ICCV, 2013)

Efficient Color Constancy with Local Surface Reflectance Statistics. - Shaobing Gao; Wangwang Han; Kaifu Yang; Chaoyi Li; Yongjie Li 001 (ECCV (2), 2014)

An Effective Semi-supervised Divisive Clustering Algorithm. - Teng Qiu; Yongjie Li 001 (CoRR, 2014)

A Physically Inspired Clustering Algorithm: to Evolve Like Particles. - Teng Qiu; Kaifu Yang; Chaoyi Li; Yongjie Li 001 (CoRR, 2014)

Multifeature-Based Surround Inhibition Improves Contour Detection in Natural Images. - Kai-Fu Yang; Chao-Yi Li; Yong-Jie Li 001 (IEEE Trans. Image Process., 2014)

Segmentation-Based Salient Object Detection. - Kai-Fu Yang; Xin Gao; Ju-Rong Zhao; Yong-Jie Li 001 (CCCV (1), 2015)

Efficient illuminant estimation for color constancy using grey pixels. - Kai-Fu Yang; Shao-Bing Gao; Yong-Jie Li 001 (CVPR, 2015)

High Dynamic Range Image Rendering with a Luminance-Chromaticity Independent Model. - Shaobing Gao; Wangwang Han; Yanze Ren; Yongjie Li 001 (IScIDE (1), 2015)

A Generalized Affinity Propagation Clustering Algorithm for Nonspherical Cluster Discovery. - Teng Qiu; Yongjie Li 001 (CoRR, 2015)

IT-map: an Effective Nonlinear Dimensionality Reduction Method for Interactive Clustering. - Teng Qiu; Yongjie Li 001 (CoRR, 2015)

Clustering by Descending to the Nearest Neighbor in the Delaunay Graph Space. - Teng Qiu; Yongjie Li 001 (CoRR, 2015)

Nonparametric Nearest Neighbor Descent Clustering based on Delaunay Triangulation. - Teng Qiu; Yongjie Li 001 (CoRR, 2015)

A general framework for the IT-based clustering methods. - Teng Qiu; Yongjie Li 001 (CoRR, 2015)

IT-Dendrogram: A New Member of the In-Tree (IT) Clustering Family. - Teng Qiu; Yongjie Li 001 (CoRR, 2015)

H-NND: A New Member of the In-Tree (IT) Clustering Family. - Teng Qiu; Yongjie Li 001 (CoRR, 2015)

Clustering by Deep Nearest Neighbor Descent (D-NND): A Density-based Parameter-Insensitive Clustering Method. - Teng Qiu; Yongjie Li 001 (CoRR, 2015)

Salient Structure Detection by Context-Guided Visual Search. - Kai-Fu Yang; Hui Li; Chao-Yi Li; Yong-Jie Li 001 (CoRR, 2015)

A Retina Inspired Model for Enhancing Visibility of Hazy Images. - Xian-Shi Zhang; Shao-Bing Gao; Chao-Yi Li; Yong-Jie Li 001 (Frontiers Comput. Neurosci., 2015)

Color Constancy Using Double-Opponency. - Shao-Bing Gao; Kai-Fu Yang; Chao-Yi Li; Yong-Jie Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Local Multimodal Serial Analysis for Fusing EEG-fMRI: A New Method to Study Familial Cortical Myoclonic Tremor and Epilepsy. - Li Dong 003; Pu Wang; Yi Bin; Jiayan Deng; Yongjie Li 001; Leiting Chen; Cheng Luo; Dezhong Yao 001 (IEEE Trans. Auton. Ment. Dev., 2015)

Boundary Detection Using Double-Opponency and Spatial Sparseness Constraint. - Kai-Fu Yang; Shao-Bing Gao; Ce-Feng Guo; Chao-Yi Li; Yong-Jie Li 001 (IEEE Trans. Image Process., 2015)

A Retina Inspired Model for High Dynamic Range Image Rendering. - Xian-Shi Zhang; Yong-Jie Li 001 (BICS, 2016)

Improving Color Constancy by Discounting the Variation of Camera Spectral Sensitivity. - Shao-Bing Gao; Ming Zhang 016; Chao-Yi Li; Yong-Jie Li 001 (CoRR, 2016)

A Unified Framework for Salient Structure Detection by Contour-Guided Visual Search. - Kai-Fu Yang; Hui Li; Chao-Yi Li; Yong-Jie Li 001 (IEEE Trans. Image Process., 2016)

A Retinal Mechanism Inspired Color Constancy Model. - Xian-Shi Zhang; Shao-Bing Gao; Ruo-Xuan Li; Xinyu Du; Chao-Yi Li; Yong-Jie Li 001 (IEEE Trans. Image Process., 2016)

Where Does the Driver Look? Top-Down-Based Saliency Detection in a Traffic Driving Environment. - Tao Deng 002; Kaifu Yang; Yongjie Li 001; Hongmei Yan (IEEE Trans. Intell. Transp. Syst., 2016)

Clustering Based on the In-Tree Graph Structure and Affinity Propagation. - Teng Qiu; Yongjie Li 001 (ACPR, 2017)

A Retinal Adaptation Model for HDR Image Compression. - Xuan Pu; Kaifu Yang; Yongjie Li 001 (CCCV (1), 2017)

Nighttime Vehicle Detection Based on Bio-Inspired Image Enhancement and Weighted Score-Level Feature Fusion. - Hulin Kuang; Xian-Shi Zhang; Yong-Jie Li 001; Leanne Lai-Hang Chan; Hong Yan 001 (IEEE Trans. Intell. Transp. Syst., 2017)

D-NND: A Hierarchical Density Clustering Method via Nearest Neighbor Descent. - Teng Qiu; Chaoyi Li; Yongjie Li 001 (ICPR, 2018)

Learning to Boost Bottom-Up Fixation Prediction in Driving Environments via Random Forest. - Tao Deng 002; Hongmei Yan; Yong-Jie Li 001 (IEEE Trans. Intell. Transp. Syst., 2018)

Bayes Saliency-Based Object Proposal Generator for Nighttime Traffic Images. - Hulin Kuang; Kai-Fu Yang; Long Chen 005; Yong-Jie Li 001; Leanne Lai-Hang Chan; Hong Yan 001 (IEEE Trans. Intell. Transp. Syst., 2018)

Automatic Spine Curvature Estimation by a Top-Down Approach. - Shixuan Zhao 001; Bo Wang; Kaifu Yang; Yongjie Li 001 (CSI@MICCAI, 2019)

A Video Salient Object Detection Model Guided by Spatio-Temporal Prior. - Wen-Wen Jiang; Kai-Fu Yang; Yong-Jie Li 001 (SSCI, 2019)

Fast Face Recognition Model without Pruning. - Wang-Wang Yu; Yong-Jie Li 001 (SSCI, 2019)

Fixation Prediction based on Scene Contours. - Teng-Fei Zhan; Ming Ye; Wen-Wen Jiang; Yongjie Li 001; Kaifu Yang (SSCI, 2019)

Line Drawings of Natural Scenes Guide Visual Attention. - Kai-Fu Yang; Wen-Wen Jiang; Teng-Fei Zhan; Yong-Jie Li 001 (CoRR, 2019)

An Adaptive Method for Image Dynamic Range Adjustment. - Kai-Fu Yang; Hui Li; Hulin Kuang; Chao-Yi Li; Yong-Jie Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Combining Bottom-Up and Top-Down Visual Mechanisms for Color Constancy Under Varying Illumination. - Shao-Bing Gao; Yanze Ren; Ming Zhang 016; Yong-Jie Li 001 (IEEE Trans. Image Process., 2019)

Underwater Image Enhancement Using Adaptive Retinal Mechanisms. - Shao-Bing Gao; Ming Zhang 016; Qian Zhao; Xian-Shi Zhang; Yong-Jie Li 001 (IEEE Trans. Image Process., 2019)

A Unified Structure for Efficient RGB and RGB-D Salient Object Detection. - Peng Peng; Yong-Jie Li 001 (CoRR, 2020)

A Biological Vision Inspired Framework for Image Enhancement in Poor Visibility Conditions. - Kai-Fu Yang; Xian-Shi Zhang; Yong-Jie Li 001 (IEEE Trans. Image Process., 2020)

Nighttime Thermal Infrared Image Colorization with Dynamic Label Mining. - Fuya Luo; Yijun Cao; Yongjie Li 001 (ICIG (3), 2021)

LSSNet: A Two-stream Convolutional Neural Network for Spotting Macro- and Micro-expression in Long Videos. - Wang-Wang Yu; Jingwen Jiang; Yong-Jie Li 001 (ACM Multimedia, 2021)

Retinal fundus image enhancement with image decomposition and visual adaptation. - Jianglan Wang; Yong-Jie Li 001; Kai-Fu Yang (Comput. Biol. Medicine, 2021)

BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration. - Xinxu Wei; Xian-Shi Zhang; Shisen Wang; Cheng Cheng; Yanlin Huang; Kaifu Yang; Yongjie Li 001 (CoRR, 2021)

DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement. - Xinxu Wei; Xian-Shi Zhang; Shisen Wang; Cheng Cheng; Yanlin Huang; Kaifu Yang; Yongjie Li 001 (CoRR, 2021)

TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement. - Xinxu Wei; Xian-Shi Zhang; Shisen Wang; Yanlin Huang; Yongjie Li 001 (CoRR, 2021)

Robust Visual Odometry Using Position-Aware Flow and Geometric Bundle Adjustment. - Yijun Cao; Xian-Shi Zhang; Fuya Luo; Peng Peng; Yongjie Li 001 (CoRR, 2021)

A deep-learning-based framework for severity assessment of COVID-19 with CT images. - Zhidan Li; Shixuan Zhao 001; Yang Chen 060; Fuya Luo; Zhiqing Kang; Shengping Cai; Wei Zhao 040; Jun Liu 075; Di Zhao; Yongjie Li 001 (Expert Syst. Appl., 2021)

Saliency Detection Inspired by Topological Perception Theory. - Peng Peng; Kai-Fu Yang; Fuya Luo; Yong-Jie Li 001 (Int. J. Comput. Vis., 2021)

Enhancing in-tree-based clustering via distance ensemble and kernelization. - Teng Qiu; Yongjie Li 001 (Pattern Recognit., 2021)

SCOAT-Net: A novel network for segmenting COVID-19 lung opacification from CT images. - Shixuan Zhao 001; Zhidan Li; Yang Chen 060; Wei Zhao 040; Xingzhi Xie; Jun Liu 075; Di Zhao; Yongjie Li 001 (Pattern Recognit., 2021)

Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss. - Yijun Cao; Chuan Lin 003; Yong-Jie Li 001 (IEEE Trans. Multim., 2021)

Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays. - Xinxu Wei; Xiangke Niu; Xianshi Zhang; Yongjie Li 001 (IEEE Big Data, 2022)

TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement. - Xinxu Wei; Xian-Shi Zhang; Yongjie Li 001 (ICANN (3), 2022)

Learning to Adapt to Light. - Kai-Fu Yang; Cheng Cheng; Shixuan Zhao 001; Xian-Shi Zhang; Yong-Jie Li 001 (CoRR, 2022)

Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays. - Xinxu Wei; Haohan Bai; Xian-Shi Zhang; Yongjie Li 001 (CoRR, 2022)

Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization. - Fuya Luo; Yijun Cao; Kai-Fu Yang; Yong-Jie Li 001 (CoRR, 2022)

Unsupervised Vision and Vision-motion Calibration Strategies for PointGoal Navigation in Indoor Environment. - Yijun Cao; Xianshi Zhang; Fuya Luo; Yongjie Li 001 (CoRR, 2022)

A new representation of scene layout improves saliency detection in traffic scenes. - De-Huai He; Kai-Fu Yang; Xue-Mei Wan; Fen Xiao; Hong-Mei Yan; Yong-Jie Li 001 (Expert Syst. Appl., 2022)

Global-prior-guided fusion network for salient object detection. - Peng Peng; Kai-Fu Yang; Yong-Jie Li 001 (Expert Syst. Appl., 2022)

Contour-guided saliency detection with long-range interactions. - Peng Peng; Kai-Fu Yang; Si-Qin Liang; Yong-Jie Li 001 (Neurocomputing, 2022)

A Fish Retina-Inspired Single Image Dehazing Method. - Xian-Shi Zhang; Yong-Bo Yu; Kai-Fu Yang; Yong-Jie Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Thermal Infrared Image Colorization for Nighttime Driving Scenes With Top-Down Guided Attention. - Fuya Luo; Yunhan Li; Guang Zeng; Peng Peng; Gang Wang 031; Yongjie Li 001 (IEEE Trans. Intell. Transp. Syst., 2022)

ID-YOLO: Real-Time Salient Object Detection Based on the Driver's Fixation Region. - Long Qin; Yi Shi; Yahui He; Junrui Zhang 010; Xianshi Zhang; Yongjie Li 001; Tao Deng 002; Hongmei Yan (IEEE Trans. Intell. Transp. Syst., 2022)

Retinal Vessel Segmentation With Skeletal Prior and Contrastive Loss. - Yubo Tan; Kai-Fu Yang; Shixuan Zhao 001; Yong-Jie Li 001 (IEEE Trans. Medical Imaging, 2022)

A Local and Global Feature Disentangled Network: Toward Classification of Benign-Malignant Thyroid Nodules From Ultrasound Image. - Shixuan Zhao 001; Yang Chen 060; Kai-Fu Yang; Yan Luo; Bu-Yun Ma; Yong-Jie Li 001 (IEEE Trans. Medical Imaging, 2022)

Toward Better SSIM Loss for Unsupervised Monocular Depth Estimation. - Yijun Cao; Fuya Luo; Yongjie Li 001 (ICIG (1), 2023)

Learning to Adapt to Light. - Kai-Fu Yang; Cheng Cheng; Shixuan Zhao 001; Hong-Mei Yan; Xian-Shi Zhang; Yong-Jie Li 001 (Int. J. Comput. Vis., 2023)

Learning generalized visual odometry using position-aware optical flow and geometric bundle adjustment. - Yijun Cao; Xian-Shi Zhang; Fuya Luo; Peng Peng; Chuan Lin 003; Kai-Fu Yang; Yong-Jie Li 001 (Pattern Recognit., 2023)

Orientation and Context Entangled Network for Retinal Vessel Segmentation. - Xinxu Wei; Kaifu Yang; Danilo Bzdok; Yongjie Li 001 (Expert Syst. Appl., 2023)

Hierarchical nearest neighbor descent, in-tree, and clustering. - Teng Qiu; Yongjie Li 001 (Pattern Recognit., 2023)

Fast LDP-MST: An Efficient Density-Peak-Based Clustering Method for Large-Size Datasets. - Teng Qiu; Yong-Jie Li 001 (IEEE Trans. Knowl. Data Eng., 2023)

A lightweight network guided with differential matched filtering for retinal vessel segmentation. - Yubo Tan; Shixuan Zhao 001; Kai-Fu Yang; Yong-Jie Li 001 (Comput. Biol. Medicine, 2023)

Correction to: Learning to Adapt to Light. - Kai-Fu Yang; Cheng Cheng; Shixuan Zhao 001; Hong-Mei Yan; Xian-Shi Zhang; Yong-Jie Li 001 (Int. J. Comput. Vis., 2023)

Unsupervised Visual Odometry and Action Integration for PointGoal Navigation in Indoor Environment. - Yijun Cao; Xian-Shi Zhang; Fuya Luo; Chuan Lin 003; Yong-Jie Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Vascular Skeleton Deformation Evaluation Based on the Metric of Sinkhorn Distance. - Xi Lin; Xinxu Wei; Shixuan Zhao 001; Yongjie Li 001 (ISBI, 2024)

Classification and Segmentation of Intrapartum Ultrasound Images with Deep Learning Models. - Yubo Tan; Shiye Wang; Wen-Da Shen; Wang-Wang Yu; Yihao Li; Philippe Zhang; Weili Jiang; Yong-Jie Li 001 (IUGC@MICCAI, 2024)

Weak Supervision with Arbitrary Single Frame for Micro- and Macro-expression Spotting. - Wang-Wang Yu; Xian-Shi Zhang; Fuya Luo; Yijun Cao; Kai-Fu Yang; Hong-Mei Yan; Yong-Jie Li 001 (CoRR, 2024)

Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning. - Xinxu Wei; Xi Lin; Haiyun Liu; Shixuan Zhao 001; Yongjie Li 001 (CoRR, 2024)

PESFormer: Boosting Macro- and Micro-expression Spotting with Direct Timestamp Encoding. - Wang-Wang Yu; Kai-Fu Yang; Xiangrui Hu; Jingwen Jiang; Hong-Mei Yan; Yong-Jie Li 001 (CoRR, 2024)

VPBSD:Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation. - Xi Lin; Shixuan Zhao 001; Xinxu Wei; Amir Shmuel; Yongjie Li 001 (CoRR, 2024)

Self-supervised network for low-light traffic image enhancement based on deep noise and artifacts removal. - Houwang Zhang; Kai-Fu Yang; Yong-Jie Li 001; Leanne Lai-Hang Chan (Comput. Vis. Image Underst., 2024)

Biologically inspired image invariance guided illuminant estimation using shallow and deep models. - Shaobing Gao; Liangtian He; Yongjie Li 001 (Expert Syst. Appl., 2024)

LVP-net: A deep network of learning visual pathway for edge detection. - Xiao Zhang; Chuan Lin 003; Fuzhang Li; Yijun Cao; Yongjie Li 001 (Image Vis. Comput., 2024)

LGSNet: A Two-Stream Network for Micro- and Macro-Expression Spotting With Background Modeling. - Wang-Wang Yu; Jingwen Jiang; Kai-Fu Yang; Hong-Mei Yan; Yong-Jie Li 001 (IEEE Trans. Affect. Comput., 2024)

DA-DRN: A degradation-aware deep Retinex network for low-light image enhancement. - Xinxu Wei; Xi Lin; Yongjie Li 001 (Digit. Signal Process., 2024)

Deep matched filtering for retinal vessel segmentation. - Yubo Tan; Kai-Fu Yang; Shixuan Zhao 001; Jianglan Wang; Longqian Liu; Yong-Jie Li 001 (Knowl. Based Syst., 2024)

Retinal Layer Segmentation in OCT Images With Boundary Regression and Feature Polarization. - Yubo Tan; Wen-Da Shen; Ming-Yuan Wu; Gui-Na Liu; Shixuan Zhao 001; Yang Chen 060; Kai-Fu Yang; Yong-Jie Li 001 (IEEE Trans. Medical Imaging, 2024)

Nighttime Thermal Infrared Image Colorization With Feedback-Based Object Appearance Learning. - Fuya Luo; Shu-Lin Liu; Yijun Cao; Kai-Fu Yang; Chang-Yong Xie; Yong Liu; Yongjie Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Night-Time Vehicle Detection Based on Hierarchical Contextual Information. - Houwang Zhang; Kai-Fu Yang; Yongjie Li 001; Leanne Lai-Hang Chan (IEEE Trans. Intell. Transp. Syst., 2024)

Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization of Traffic Scenes. - Fuya Luo; Yijun Cao; Kai-Fu Yang; Gang Wang 031; Yongjie Li 001 (IEEE Trans. Intell. Transp. Syst., 2024)

A good teacher learns while teaching: Heterogeneous architectural knowledge distillation for fast MRI reconstruction. - Chenghao Qiu; Xian-Shi Zhang; Yongjie Li 001 (Knowl. Based Syst., 2025)

RPLFDet: A Lightweight Small Object Detection Network for UAV Aerial Images With Rational Preservation of Low-Level Features. - Ruopu Wang; Chuan Lin 003; Yongjie Li 001 (IEEE Trans. Instrum. Meas., 2025)

APTOS-2024 challenge report: Generation of synthetic 3D OCT images from fundus photographs. - Bowen Liu; Weiyi Zhang 004; Peranut Chotcomwongse; Xiaolan Chen; Ruoyu Chen; Pawin Pakaymaskul; Niracha Arjkongharn; Nattaporn Vongsa; Xuelian Cheng; Zongyuan Ge; Kun Huang; Xiaohui Li; et al. (CoRR, 2025)

Weakly Supervised Micro- and Macro-Expression Spotting Based on Multi-Level Consistency. - Wang-Wang Yu; Kai-Fu Yang; Hong-Mei Yan; Yongjie Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)