Cooperative and Competitive Dynamics Model for Information Propagation in Online Social Networks. - Yaming Zhang; Chaosheng Tang; Li Weigang 001 (J. Appl. Math., 2014)

Hearing loss identification via wavelet entropy and combination of Tabu search and particle swarm optimization. - Chaosheng Tang; Elizabeth Lee (DSP, 2018)

Optimization of selective ensemble for cost-sensitive classification: An empirical study. - Ning Chen 003; Bernardete Ribeiro; An Chen; Chaosheng Tang (Intell. Decis. Technol., 2018)

Multiple sclerosis identification by convolutional neural network with dropout and parametric ReLU. - Yudong Zhang 001; Chichun Pan; Junding Sun; Chaosheng Tang (J. Comput. Sci., 2018)

Twelve-layer deep convolutional neural network with stochastic pooling for tea category classification on GPU platform. - Yudong Zhang 001; Khan Muhammad 001; Chaosheng Tang (Multim. Tools Appl., 2018)

Federated Learning-Based Computation Offloading Optimization in Edge Computing-Supported Internet of Things. - Jianji Ren; Haichao Wang 002; Tingting Hou; Shuai Zheng; Chaosheng Tang (IEEE Access, 2019)

Multi-label learning vector quantization for semi-supervised classification. - Ning Chen 003; Bernardete Ribeiro; Chaosheng Tang; An Chen (Intell. Data Anal., 2019)

High Performance Multiple Sclerosis Classification by Data Augmentation and AlexNet Transfer Learning Model. - Yu-Dong Zhang 001; Vishnu Varthanan Govindaraj; Chaosheng Tang; Weiguo Zhu; Junding Sun (J. Medical Imaging Health Informatics, 2019)

Fast Relative Orientation Algorithm of Tilt Photogrammetry. - Tianyu Luo; Chaosheng Tang; Jun Ye; Bo Tang (ATCI, 2020)

Bibliometric and Graph Analysis in Document Data Mining Based on the Cultivation of New Type Professional Farmers. - Chaosheng Tang; Lijin Qin (CSS, 2020)

Collaborative Edge Computing and Caching With Deep Reinforcement Learning Decision Agents. - Jianji Ren; Haichao Wang 002; Tingting Hou; Shuai Zheng; Chaosheng Tang (IEEE Access, 2020)

Image Segmentation Based on Weakly Supervised MKL on Mixed Visual Features. - Haifeng Sima; Junding Sun; Minmin Du; Jing Wang 093; Chaosheng Tang (IEEE Access, 2020)

Face Recognition Based on Local Gradient Number Pattern and Fuzzy Convex-Concave Partition. - Junding Sun; Yanan Lv; Chaosheng Tang; Haifeng Sima; Xiaosheng Wu (IEEE Access, 2020)

Facial emotion recognition via stationary wavelet entropy and Biogeography-based optimization. - Xiang Li 089; Chaosheng Tang; Junding Sun (EAI Endorsed Trans. e Learn., 2020)

Hearing loss classification via stationary wavelet entropy and Biogeography-based optimization. - Chong Yao; Chaosheng Tang; Junding Sun (EAI Endorsed Trans. e Learn., 2020)

Risk assessment and comparison of regional natural disasters in China using clustering. - Ning Chen 003; Yingchao Ma; Chaosheng Tang; An Chen; Xiaohui Yao (Intell. Decis. Technol., 2020)

Diagnosis of COVID-19 by Wavelet Renyi Entropy and Three-Segment Biogeography-Based Optimization. - Shui-Hua Wang; Xiaosheng Wu; Yu-Dong Zhang 001; Chaosheng Tang; Xin Zhang 071 (Int. J. Comput. Intell. Syst., 2020)

A Data Model Construction Method Based on the Questionnaire Survey. - Chaosheng Tang; Heng Zhang (DMBD (1), 2021)

MFBCNNC: Momentum factor biogeography convolutional neural network for COVID-19 detection via chest X-ray images. - Junding Sun; Xiang Li 089; Chaosheng Tang; Shui-Hua Wang; Yudong Zhang 001 (Knowl. Based Syst., 2021)

HybridCANet: UNet-like network Bridging CNN and Attention for Multimodal Brain Image Segmentation. - Chaosheng Tang; Chendi Dai; Junding Sun (ICNCC, 2022)

BraDect: A Novel Brain Tumor Image Classification Algorithm. - Chaosheng Tang; Bin Li; Junding Sun (ICNCC, 2022)

TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model. - Junding Sun; Pengpeng Pi; Chaosheng Tang; Shui-Hua Wang; Yu-Dong Zhang 001 (Comput. Biol. Medicine, 2022)

NSCGCN: A novel deep GCN model to diagnosis COVID-19. - Chaosheng Tang; Chaochao Hu; Junding Sun; Shui-Hua Wang; Yu-Dong Zhang 001 (Comput. Biol. Medicine, 2022)

Corrigendum to "Cooperative and Competitive Dynamics Model for Information Propagation in Online Social Networks". - Yaming Zhang; Chaosheng Tang; Li Weigang 001 (J. Appl. Math., 2022)

GAM-SpCaNet: Gradient awareness minimization-based spinal convolution attention network for brain tumor classification. - Chaosheng Tang; Bin Li; Junding Sun; Shui-Hua Wang; Yudong Zhang 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

DSGA-Net: Deeply separable gated transformer and attention strategy for medical image segmentation network. - Junding Sun; Jiuqiang Zhao; Xiaosheng Wu; Chaosheng Tang; Shuihua Wang; Yudong Zhang 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

CTMLP: Can MLPs replace CNNs or transformers for COVID-19 diagnosis? - Junding Sun; Pengpeng Pi; Chaosheng Tang; Shui-Hua Wang; Yu-Dong Zhang 001 (Comput. Biol. Medicine, 2023)

CsAGP: Detecting Alzheimer's disease from multimodal images via dual-transformer with cross-attention and graph pooling. - Chaosheng Tang; Mingyang Wei; Junding Sun; Shuihua Wang; Yudong Zhang 001 (J. King Saud Univ. Comput. Inf. Sci., 2023)

Liver segmentation based on complementary features U-Net. - Junding Sun; Zhenkun Hui; Chaosheng Tang; Xiaosheng Wu (Vis. Comput., 2023)

MVSI-Net: Multi-view attention and multi-scale feature interaction for brain tumor segmentation. - Junding Sun; Ming Hu; Xiaosheng Wu; Chaosheng Tang; Husam Lahza; Shuihua Wang; Yu-Dong Zhang 001 (Biomed. Signal Process. Control., 2024)

MACFNet: Detection of Alzheimer's disease via multiscale attention and cross-enhancement fusion network. - Chaosheng Tang; Mengbo Xi; Junding Sun; Shuihua Wang; Eugene Yu-Dong Zhang (Comput. Methods Programs Biomed., 2024)

HAD-Net: An attention U-based network with hyper-scale shifted aggregating and max-diagonal sampling for medical image segmentation. - Junding Sun; Yabei Li; Xiaosheng Wu; Chaosheng Tang; Shuihua Wang; Eugene Yu-Dong Zhang (Comput. Vis. Image Underst., 2024)

FG-HFS: A feature filter and group evolution hybrid feature selection algorithm for high-dimensional gene expression data. - Zhaozhao Xu; Fangyuan Yang; Chaosheng Tang; Hong Wang; Shuihua Wang; Junding Sun; Yu-Dong Zhang 001 (Expert Syst. Appl., 2024)

CasUNeXt: A Cascaded Transformer With Intra- and Inter-Scale Information for Medical Image Segmentation. - Junding Sun; Xiaopeng Zheng; Xiaosheng Wu; Chaosheng Tang; Shuihua Wang; Yudong Zhang 001 (Int. J. Imaging Syst. Technol., 2024)

TGPO-WRHNN: Two-stage Grad-CAM-guided PMRS Optimization and weighted-residual hypergraph neural network for pneumonia detection. - Chaosheng Tang; Xinke Zhi; Junding Sun; Shuihua Wang; Yudong Zhang 001 (Knowl. Based Syst., 2024)

Multi-Scale Feature Attention-DEtection TRansformer: Multi-Scale Feature Attention for security check object detection. - Haifeng Sima; Bailiang Chen; Chaosheng Tang; Yudong Zhang 001; Junding Sun (IET Comput. Vis., 2024)

SAGCN: Self-adaptive Graph Convolutional Network for pneumonia detection. - Junding Sun; Jianxiang Xue; Zhaozhao Xu; Ningshu Li; Chaosheng Tang; Lei Zhao; Bin Pu; Eugene Yu-Dong Zhang (Biomed. Signal Process. Control., 2025)

Lung-YOLO: Multiscale feature fusion attention and cross-layer aggregation for lung nodule detection. - Chaosheng Tang; Feifei Zhou; Junding Sun; Yudong Zhang 001 (Biomed. Signal Process. Control., 2025)

DCMA-Net: A dual channel multi-scale feature attention network for crack image segmentation. - Yidan Yan; Junding Sun; Hongyuan Zhang; Chaosheng Tang; Xiaosheng Wu; Shuihua Wang; Yudong Zhang 001 (Eng. Appl. Artif. Intell., 2025)

Diff-CFFBNet: Diffusion-Embedded Cross-Layer Feature Fusion Bridge Network for Brain Tumor Segmentation. - Xiaosheng Wu; Qingyi Hou; Chaosheng Tang; Shuihua Wang; Junding Sun; Yudong Zhang 001 (Int. J. Imaging Syst. Technol., 2025)

Circle-YOLO: An anchor-free lung nodule detection algorithm using bounding circle representation. - Chaosheng Tang; Feifei Zhou; Junding Sun; Yudong Zhang 001 (Pattern Recognit., 2025)