The Geometric Constraint Solving Based on Mutative Scale Chaos Genetic Algorithm. - Chunhong Cao; Wenhui Li 002 (CIS, 2004)

A New Algebraic-Based Geometric Constraint Solving Approach: Path Tracking Homotopy Iteration Method. - Wenhui Li 002; Chunhong Cao; Wan Yi (CIS, 2004)

The Research of Geometric Constraint Soving Based on the Path Tracking Homotopy Iteration Method. - Chunhong Cao; Yinan Lu; Wenhui Li 002 (IIP, 2004)

New Method for Geometric Constraint Solving Based on the Genetic Quantum Algorithm. - Chunhong Cao; Wenhui Li 002 (WSCG (Posters), 2004)

Orthogonally Rotational Transformation for Naive Bayes Learning. - Limin Wang 007; Chunhong Cao; Haijun Li; Haixia Chen; Liyan Dong (CIS (1), 2005)

Short-Term Prediction on Parameter-Varying Systems by Multiwavelets Neural Network. - Fen Xiao; Xieping Gao; Chunhong Cao; Jun Zhang 029 (ICNC (2), 2005)

A Fast Nonseparable Wavelet Neural Network for Function Approximation. - Jun Zhang 029; Xieping Gao; Chunhong Cao; Fen Xiao (ICNC (1), 2005)

The Application of the Genetic algorithm-Ant algorithm in the Geometric Constraint SatisfactionGuidelines. - Chunhong Cao; Bin Zhang 001; Limin Wang 007; Wenhui Li 002 (IEEE ICCI, 2006)

The Parametric Design Based on Organizational Evolutionary Algorithm. - Chunhong Cao; Bin Zhang 001; Limin Wang 007; Wenhui Li 002 (PRICAI, 2006)

Combining decision tree and Naive Bayes for classification. - Li-Min Wang 007; Xiao-Lin Li 001; Chunhong Cao; Senmiao Yuan (Knowl. Based Syst., 2006)

Finding the Optimal Feature Representations for Bayesian Network Learning. - LiMin Wang 007; Chunhong Cao; Xiongfei Li; Haijun Li (PAKDD, 2007)

Minimum-energy wavelet frame on the interval. - Xieping Gao; Chunhong Cao (Sci. China Ser. F Inf. Sci., 2008)

The Geometric Constraint Solving Based on the Quantum Particle Swarm. - Chunhong Cao; Limin Wang 007; Wenhui Li 002 (RSKT, 2010)

Niche Improved Particle Swarm Optimization on Geometric Constraint Solving. - Chunhong Cao; Chuan Tang; Dazhe Zhao; Bin Zhang; Chunyan Han (CAD/Graphics, 2011)

Minimum-energy wavelet frame on the interval with arbitrary integer dilation factor. - Chunhong Cao; Xieping Gao (J. Comput. Appl. Math., 2011)

How to Mine Information from Each Instance to Extract anAbbreviated and Credible Logical Rule. - Limin Wang 007; Minghui Sun; Chunhong Cao (Entropy, 2014)

基于双子代差分演化和自适应分块机制的多聚焦图像融合算法 (Multi-focus Image Fusion Based on Twin-generation Differential Evolution and Adaptive Block Mechanism). - Chunhong Cao; Jianhua Zhang; Linfeng Li (计算机科学, 2016)

Classification of Foreign Object Debris Using Integrated Visual Features and Extreme Learning Machine. - Kai Hu 002; Dongshun Cui; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Guang-Bin Huang (CCCV (3), 2017)

Compressed sensing image restoration based on data-driven multi-scale tight frame. - Chunhong Cao; Xieping Gao (J. Comput. Appl. Math., 2017)

MSDNN: Multi-Scale Deep Neural Network for Salient Object Detection. - Fen Xiao; Wenzheng Deng; Liangchan Peng; Chunhong Cao; Kai Hu 002; Xieping Gao (CoRR, 2018)

Multi-scale deep neural network for salient object detection. - Fen Xiao; Wenzheng Deng; Liangchan Peng; Chunhong Cao; Kai Hu 002; Xieping Gao (IET Image Process., 2018)

Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function. - Kai Hu 002; Zhenzhen Zhang; Xiaorui Niu; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Xieping Gao (Neurocomputing, 2018)

Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field. - Kai Hu 002; Qinghai Gan; Yuan Zhang 022; Shuhua Deng; Fen Xiao; Wei Huang; Chunhong Cao; Xieping Gao (IEEE Access, 2019)

Classification of melanoma based on feature similarity measurement for codebook learning in the bag-of-features model. - Kai Hu 002; Xiaorui Niu; Si Liu; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Wanchun Yang; Xieping Gao (Biomed. Signal Process. Control., 2019)

Stable recovery of compressed sensing signals via optimal dual frame based ℓ q -minimisation for 0 < q ≤ 1. - Chunhong Cao; Xieping Gao (IET Signal Process., 2019)

Automatic segmentation of retinal layer boundaries in OCT images using multiscale convolutional neural network and graph search. - Kai Hu 002; Binwei Shen; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Xieping Gao (Neurocomputing, 2019)

Hyperspectral image classification via compact-dictionary-based sparse representation. - Chunhong Cao; Liu Deng; Wei Duan; Fen Xiao; Wanchun Yang; Kai Hu 002 (Multim. Tools Appl., 2019)

Hyperspectral Image Denoising via Subspace-Based Nonlocal Low-Rank and Sparse Factorization. - Chunhong Cao; Jie Yu 014; Chengyao Zhou; Kai Hu 002; Fen Xiao; Xieping Gao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

A Novel Active Contour Model Using Oriented Smoothness and Infinite Laplacian for Medical Image Segmentation. - Chunhong Cao; Chengyao Zhou; Jie Yu 014; Kai Hu 002; Fen Xiao (Cognitive Internet of Things, 2019)

A Skin Lesion Segmentation Method Based on Saliency and Adaptive Thresholding in Wavelet Domain. - Kai Hu 002; Si Liu; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Wei Huang; Xieping Gao (Cognitive Internet of Things, 2019)

Multi-Modal Weights Sharing and Hierarchical Feature Fusion for RGBD Salient Object Detection. - Fen Xiao; Bin Li 044; Yimu Peng; Chunhong Cao; Kai Hu 002; Xieping Gao (IEEE Access, 2020)

Compressive sensing MR imaging based on adaptive tight frame and reference image. - Chunhong Cao; Wei Duan; Kai Hu 002; Fen Xiao (IET Image Process., 2020)

Automatic segmentation of dermoscopy images using saliency combined with adaptive thresholding based on wavelet transform. - Kai Hu 002; Si Liu; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Wei Huang; Xieping Gao (Multim. Tools Appl., 2020)

The Application of PBL + Flipped Classroom Teaching Mode in Computer Practice Courses. - Chunhong Cao; Ce Ji; Rong Geng (ICEIT, 2021)

Research on the Integration of Curriculum Ideological and Political Elements into Communication Principles. - Rong Geng; Chunhong Cao; Ce Ji (ICEIT, 2021)

Design of PBL Teaching Method Based on OBE Mode. - Ce Ji; Chunhong Cao; Rong Geng; Xiao Zhang (ICEIT, 2021)

A comprehensive overview of RDF for spatial and spatiotemporal data management. - Fu Zhang 001; Qingzhe Lu; Zhenjun Du; Xu Chen 010; Chunhong Cao (Knowl. Eng. Rev., 2021)

ISTA-based Adaptive Sparse Sampling Network for Compressive Sensing MRI Reconstruction. - Wenwei Huang; Chunhong Cao; Sixia Hong; Xieping Gao (BIBM, 2022)

SA-NAS-BFNR: Spatiotemporal Attention Neural Architecture Search for Task-based Brain Functional Network Representation. - Fenxia Duan; Chunhong Cao; Xieping Gao (ICMR, 2022)

Modeling Functional Brain Networks with Multi-Head Attention-based Region-Enhancement for ADHD Classification. - Chunhong Cao; Huawei Fu; Gai Li; Mengyang Wang; Xieping Gao (ICMR, 2023)

SPAE: Spatial Preservation-based Autoencoder for ADHD functional brain networks modelling. - Chunhong Cao; Gai Li; Huawei Fu; Xingxing Li; Xieping Gao (ICMR, 2023)

Lightweight Multiscale Neural Architecture Search With Spectral-Spatial Attention for Hyperspectral Image Classification. - Chunhong Cao; Han Xiang; Wei Song; Hongbo Yi; Fen Xiao; Xieping Gao (IEEE Trans. Geosci. Remote. Sens., 2023)

DSC-Net: A Novel Interactive Two-Stream Network by Combining Transformer and CNN for Ultrasound Image Segmentation. - Kai Hu 002; Yadong Zhu; Tianxin Zhou; Yuan Zhang 022; Chunhong Cao; Fen Xiao; Xieping Gao (IEEE Trans. Instrum. Meas., 2023)

Hyperspectral image classification based on three-dimensional adaptive sampling and improved iterative shrinkage-threshold algorithm. - Chunhong Cao; Hongxuan Duan; Xieping Gao (J. Vis. Commun. Image Represent., 2023)

BIRGU Net: deformable brain magnetic resonance image registration using gyral-net map and 3D Res-Unet. - Chunhong Cao; Ling Cao; Gai Li; Tuo Zhang; Xieping Gao (Medical Biol. Eng. Comput., 2023)

ADHD diagnosis guided by functional brain networks combined with domain knowledge. - Chunhong Cao; Huawei Fu; Gai Li; Mengyang Wang; Xieping Gao (Comput. Biol. Medicine, 2024)

A Two-Stream Stacked Autoencoder With Inter-Class Separability for Bilinear Hyperspectral Unmixing. - Chunhong Cao; Wei Song; Han Xiang; Hongbo Yi; Fen Xiao; Xieping Gao (IEEE Trans. Computational Imaging, 2024)

Accelerated Sparse-Coding-Inspired Feedback Neural Architecture Search for Hyperspectral Image Classification. - Chunhong Cao; Hongbo Yi; Han Xiang; Pan He; Jing Hu; Fen Xiao; Xieping Gao (IEEE Trans. Geosci. Remote. Sens., 2024)

Neural Architecture Search-Based Few-Shot Learning for Hyperspectral Image Classification. - Fen Xiao; Han Xiang; Chunhong Cao; Xieping Gao (IEEE Trans. Geosci. Remote. Sens., 2024)

Hierarchical neural architecture search with adaptive global-local feature learning for Magnetic Resonance Image reconstruction. - Chunhong Cao; Wenwei Huang; Fang Hu; Xieping Gao (Comput. Biol. Medicine, 2024)

Modeling Functional Brain Networks for ADHD via Spatial Preservation-Based Neural Architecture Search. - Gai Li; Chunhong Cao; Huawei Fu; Xingxing Li; Xieping Gao (IEEE J. Biomed. Health Informatics, 2024)

Application of Artificial Intelligence Discriminant Models in Educational Reform. - Chunhong Cao; Shichao Dong; Rong Geng; Ce Ji (ICEIT, 2025)

Leveraging VOSviewer for Knowledge Graph Reasoning Towards Teaching Evaluation in Higher Education Research. - Rong Geng; Ce Ji; Chunhong Cao (ICEIT, 2025)

Few-Shot Learning with Class-Number Non-Aligned Training and Cross-Scale Feature Differential Network for Hyperspectral Image Classification. - Pan He; Bodong Li; Han Xiang; Bowen Xu; Chunhong Cao (ICMR, 2025)