Multiple Phase Transitions in the Culture Dissemination. - Bing Wang; Yuexing Han; Luonan Chen; Kazuyuki Aihara (Complex (1), 2009)

Recognition of objects in various situations from two dimensional images. - Yuexing Han; Hideki Koike; Bing Wang; Masanori Idesawa (IPTA, 2010)

Recognition of multiple configurations of objects with limited data. - Yuexing Han; Bing Wang; Masanori Idesawa; Hiroyuki Shimai (Pattern Recognit., 2010)

Acquisition of Object Pose from Barcode for Robot Manipulation. - Yuexing Han; Yasushi Sumi; Yoshio Matsumoto; Noriaki Ando (SIMPAR, 2012)

Recognize objects with three kinds of information in landmarks. - Yuexing Han (Pattern Recognit., 2013)

Tracking single microtubules by using B-spline curves and Hausdorff distance. - Yuexing Han; Daisuke Inoue; Akira Kakugo; Akihiko Konagaya (IPTA, 2014)

Recognizing objects with multiple configurations. - Yuexing Han; Hideki Koike; Masanori Idesawa (Pattern Anal. Appl., 2014)

Principle of a Computing Request File of Ternary Optical Computers. - Sulan Zhang; Yuexing Han; Yunfu Shen; Yi Jin 009 (HPCA (China), 2015)

Automatic Recognition of DNA Pliers in Atomic Force Microscopy Images. - Yuexing Han; Akito Hara; Akinori Kuzuya; Ryosuke Watanabe; Yuichi Ohya; Akihiko Konagaya (New Gener. Comput., 2015)

Segmenting images with complex textures by using hybrid algorithm. - Yuexing Han; Chuanbin Lai; Bing Wang; Hui Gu (J. Electronic Imaging, 2019)

A Path-Based Distribution Measure for Network Comparison. - Bing Wang 019; Zhiwen Sun; Yuexing Han (Entropy, 2020)

Boundary Loss-Based 2.5D Fully Convolutional Neural Networks Approach for Segmentation: A Case Study of the Liver and Tumor on Computed Tomography. - Yuexing Han; Xiaolong Li; Bing Wang 019; Lu Wang (Algorithms, 2021)

A classification method for EEG motor imagery signals based on parallel convolutional neural network. - Yuexing Han; Bing Wang; Jie Luo; Long Li; Xiaolong Li (Biomed. Signal Process. Control., 2022)

Facial expression recognition in facial occlusion scenarios: A path selection multi-network. - Liheng Ruan; Yuexing Han; Jiarui Sun; Qiaochuan Chen; Jiaqi Li (Displays, 2022)

CA-STD: Scene Text Detection in Arbitrary Shape Based on Conditional Attention. - Xing Wu 001; Yangyang Qi; Jun Song; Junfeng Yao; Yanzhong Wang; Yang Liu 005; Yuexing Han; Quan Qian (Inf., 2022)

Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses. - Xiao Hong; Yuexing Han; Gouhei Tanaka; Bing Wang 019 (Knowl. Based Syst., 2022)

A novel transfer learning for recognition of overlapping nano object. - Yuexing Han; Yuhong Liu; Bing Wang; Qiaochuan Chen; Leilei Song; Lin Tong; Chuanbin Lai; Akihiko Konagaya (Neural Comput. Appl., 2022)

Lightweight and Crisp Curves Extract Network. - Qiaochuan Chen; Yinggang Wang; Rui Zhang; Yuexing Han (ICISE, 2023)

A Literature Mining Method Based on Curve Graph Information in Literature. - Yuexing Han; Jinhua Xia; Bing Wang; Rui Zhang; Qiaochuan Chen (ICISE, 2023)

Material Property Prediction by Integrating Literature-mining and Crossed Feature Selection. - Rui Zhang; Jiawang Zhang; Yuexing Han; Qiaochuan Chen (ICISE, 2023)

Impacts of detection and contact tracing on the epidemic spread in time-varying networks. - Xiao Hong; Yuexing Han; Bing Wang 019 (Appl. Math. Comput., 2023)

MPSTAN: Metapopulation-based Spatio-Temporal Attention Network for Epidemic Forecasting. - Junkai Mao; Yuexing Han; Bing Wang (CoRR, 2023)

Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting. - Junkai Mao; Yuexing Han; Gouhei Tanaka; Bing Wang (CoRR, 2023)

FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space. - Yuexing Han; Guanxin Wan; Bing Wang (CoRR, 2023)

Layer-fusion for online mutual knowledge distillation. - Gan Hu; Yanli Ji; Xingzhu Liang; Yuexing Han (Multim. Syst., 2023)

A Two-Phase Feature Selection Method for Identifying Influential Spreaders of Disease Epidemics in Complex Networks. - Xiya Wang; Yuexing Han; Bing Wang 019 (Entropy, 2023)

Integrated Extensive Detection, Contact Tracing and Dynamical Social Distancing Interventions to Prevent Future Epidemic Waves. - Xiao Hong; Yuexing Han; Bing Wang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Few-shot Image Generation via Information Transfer from the Built Geodesic Surface. - Yuexing Han; Liheng Ruan; Bing Wang (CoRR, 2024)

Revealing the structure-property relationships of copper alloys with FAGC. - Yuexing Han; Guanxin Wan; Tao Han; Bing Wang; Yi Liu (CoRR, 2024)

FAGStyle: Feature Augmentation on Geodesic Surface for Zero-shot Text-guided Diffusion Image Style Transfer. - Yuexing Han; Liheng Ruan; Bing Wang (CoRR, 2024)

Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation. - Ruting Chi; Zhiyi Huang; Yuexing Han (CoRR, 2024)

Deep Learning-Driven Microstructure Characterization and Vickers Hardness Prediction of Mg-Gd Alloys. - Lu Wang; Hongchan Chen; Bing Wang; Qian Li; Qun Luo; Yuexing Han (CoRR, 2024)

Backbone-based Dynamic Spatio-Temporal Graph Neural Network for epidemic forecasting. - Junkai Mao; Yuexing Han; Gouhei Tanaka; Bing Wang 019 (Knowl. Based Syst., 2024)

A pseudo-labeling based weakly supervised segmentation method for few-shot texture images. - Yuexing Han; Ruiqi Li; Bing Wang 019; Liheng Ruan; Qiaochuan Chen (Expert Syst. Appl., 2024)

MPSTAN: Metapopulation-Based Spatio-Temporal Attention Network for Epidemic Forecasting. - Junkai Mao; Yuexing Han; Bing Wang 019 (Entropy, 2024)

A projection module based on the shape space theory for small-sample image processing. - Gan Hu; Yuexing Han (Expert Syst. Appl., 2025)

NFI-SGAT: Node feature initialization-based streaming graph learning model with graph attention network for critical node identification in temporal networks. - Mingxuan Yan; Yuexing Han; Bing Wang (Neurocomputing, 2025)

Coupling dynamics of epidemic and multi-source information: The roles of social reinforcement and risk perception. - Xiao Hong; Yuexing Han; Bing Wang 019 (Inf. Sci., 2025)

FAAGC: Feature Augmentation on Adaptive Geodesic Curve Based on the shape space theory. - Yuexing Han; Ruijie Li (CoRR, 2025)