韩越兴课题组
English

Research Areas

Machine Learning and Deep Learning

Machine Learning and Deep Learning

Machine learning and deep learning use algorithms to parse data, learn from it, and make decisions or predictions about real-world events. Unlike traditional software programs with hard-coded instructions for specific tasks, these methods are "trained" using large amounts of data, learning how to complete tasks through various algorithms.

Deep learning is a subset of machine learning, and both are methods for implementing artificial intelligence. Our team researches and develops machine learning and deep learning while solving practical problems, contributing to the advancement of artificial intelligence.

Machine Learning and Deep Learning

Materials Image Processing

Materials Image Processing

In the interdisciplinary context of computer science, materials science, and materials physics, AI-based materials research has become a strategic priority and core technology development area worldwide. In 2012, China launched the "Materials Science System Engineering Development Strategy Research—China's Materials Genome Initiative" project, which has significant strategic importance for developing materials-related theories and applications to gain advantages in future intelligent society development. However, we currently know little about the relationships between material structure, morphological characteristics, and material properties, and synthesis methods are mostly based on improvements to macroscopic materials, which has certain limitations.

The small size effect, surface effect, and quantum effect of nanomaterials lead to complex image textures, variable morphologies, and extremely difficult image processing. Currently, the main method for observing and analyzing material images is still manual, resulting in substantial waste of human resources and time. With the development of machine learning and deep learning methods, high-speed and effective automatic analysis of material images has become possible.

Based on machine learning and deep learning research, our research group has proposed various image processing methods for materials and implemented corresponding software models. These provide data support for the Materials Genome Initiative, enabling computers to automatically recognize and classify material morphological features, effectively saving time and human resources in material data analysis, accelerating research output, and promoting the development of materials science. Research and productization of automatic analysis of material image feature information will have far-reaching significance for the development of materials science and the improvement of related artificial intelligence technologies in China.

Materials Image Processing

Materials Text Mining

Materials Text Mining

Materials text mining utilizes natural language processing and machine learning techniques to automatically extract valuable information from vast amounts of unstructured text in materials science literature, patents, and reports. By constructing materials knowledge graphs, automating literature reviews, and extracting relationships, it greatly improves the efficiency of information acquisition in materials development and accelerates the discovery of new materials and performance prediction. Our team is dedicated to developing efficient text mining algorithms and systems to enable intelligent management and in-depth utilization of materials science data.

Robot Vision

Robot Vision

Robots identify, select, and classify objects through observation. Traditional vision methods use the SIFT algorithm for image matching to achieve object recognition, but this approach is slow, making robot actions very sluggish. I use one-dimensional barcodes and two-dimensional QR codes to determine the positional relationship (including angle and coordinates) between objects and robots, helping robots quickly complete object matching work and implement corresponding actions.

Additionally, I also use infrared technology and infrared observation instruments, attaching special tags to specific locations so robots can determine their position. These studies are conducted within the RT-Middleware framework. RT-Middleware can control a robot by modules, allowing researchers to separate robot parts into independent modules and develop these independent modules to upgrade and develop robot functionality.

Robot VisionRobot Vision

Human-Computer Interaction

Human-Computer Interaction

Human-computer interaction is a major topic in today's rapidly developing information industry. Gesture control's natural and convenient characteristics align with the direction and goals of human-computer interaction optimization, offering advantages that traditional interaction methods relying on mice and keyboards lack. For certain applications, while touchscreens have improved user experience, their high cost typically limits them to small mobile devices and personal computers. Gesture control simulates touchscreen effects with a larger screen control range, serving as an important means to enhance large-screen operation experience. However, the diversity of gestures themselves, coupled with interference from unstable environmental factors, determines the complexity of gesture judgment. How to track, capture, and recognize dynamic gestures in complex backgrounds in real-time, ensuring the smoothness of the interaction process, is the research question for gesture recognition-based human-computer interaction.

Human-Computer InteractionHuman-Computer Interaction

Object Recognition

Object Recognition

Image processing is a technique that uses computers to analyze images to achieve desired results. It is the foundation for computer vision and robot vision research. Object recognition is one of the most important areas of image processing research. Traditional object recognition algorithms mainly use data from image libraries to match real-world object images, determining the type of object and recognizing it. Many objects have multiple forms; for example, scissors display different shapes depending on the angle of opening. Additionally, observing from different angles results in different object shapes. We refer to the recognition of objects with different forms as RMCO (the recognition of multiple configurations of objects). The general method involves collecting multiple data points of the same object to implement RMCO, which wastes a lot of time and makes the database very large. Through shape space theory, I can predict possible shapes of observed objects with very little data, achieving recognition of multi-form objects with minimal data.

Traditional object recognition algorithms, including SIFT and SURF, can complete object recognition in a very short time, but in robot applications, they remain an important factor limiting rapid robot action. I use three invariant factors in images: pixel information around feature points, angle information of feature points, and the information that feature point groups between two images maintain relative positions unchanged to match these two images. This approach can improve speed by about 10 times compared to SIFT while maintaining almost no incorrect matching points between matching point groups.

Object Recognition

Recent Achievements

2025

  • Few-shot Image Generation via Information Transfer from the Built Geodesic Surface

    Yuexing Han*, Liheng Ruan, Bing Wang

    Pattern Recognition

    Citation Information

    Yuexing Han*, Liheng Ruan, Bing Wang. Few-shot Image Generation via Information Transfer from the Built Geodesic Surface. Pattern Recognition, doi: https://doi.org/10.1016/j.patcog.2025.112293, 2025. CAS Q1, JCR Q1.

  • Geodesic feature augmentation for zero-shot text-guided diffusion style transfer

    Yuexing Han*, Liheng Ruan, Bing Wang

    The Visual Computer

    Citation Information

    Yuexing Han* ,Liheng Ruan, Bing Wang. Geodesic feature augmentation for zero-shot text-guided diffusion style transfer. The Visual Computer, https://doi.org/10.1007/s00371-025-04104-3, 2025.  CAS Q3, JCR Q2.

  • A projection module based on the shape space theory for small-sample image processing

    Gan Hu, Yuexing Han*

    Expert Systems with Applications

    Citation Information

    Gan Hu, Yuexing Han*. A projection module based on the shape space theory for small-sample image processing. Expert Systems with Applications, 293 (2025) 128668, 2025. https://doi.org/10.1016/j.eswa.2025.128668

  • Automatic pipeline for information of curve graphs in papers based on deep learning

    Yuexing Han, Jinhua Xia, Rui Zhang, Bing Wang, Yi Liu, Deng Pan, Yinggang Wang, Jiawang Zhang, Qiaochuan Chen*

    International Journal of Machine Learning and Cybernetics

    Citation Information

    Yuexing Han, Jinhua Xia, Rui Zhang, Bing Wang, Yi Liu, Deng Pan, Yinggang Wang, Jiawang Zhang, Qiaochuan Chen*. Automatic pipeline for information of curve graphs in papers based on deep learning. International Journal of Machine Learning and Cybernetics, https://doi.org/10.1007/s13042-024-02496-7, 2025.

  • The Prediction of Tensile Strength Performance of Fiber Reinforced Composites Based on a Knowledge Graph Constructed from Materials Literature

    Qiaochuan Chen, Chen Zhao, Yating Fang, Rui Zhang, Na Song*, Peng Ding, Yuexing Han*

    Polymer Composites

    Citation Information

    Qiaochuan Chen, Chen Zhao, Yating Fang, Rui Zhang, Na Song*, Peng Ding, Yuexing Han*. The Prediction of Tensile Strength Performance of Fiber Reinforced Composites Based on a Knowledge Graph Constructed from Materials Literature. POLYMER COMPOSITES. (SCI, accepted)

  • Coupling dynamics of information and epidemic under multi-source heterogeneous social impacts

    X. Hong, Y.X. Han, B. Wang*

    Information Sciences

    Citation Information

    X. Hong, Y.X. Han, B. Wang*. Coupling dynamics of information and epidemic under multi-source heterogeneous social impacts. Information Sciences, 714, 122203, 2025.

  • Temporal correlation-based neural relational inference for binary dynamics

    H.W. Zhang, Y.X. Han, G.H. Tananka, B. Wang*

    Chaos, Solitons & Fractals

    Citation Information

    H.W. Zhang, Y.X. Han, G.H. Tananka, B. Wang*. Temporal correlation-based neural relational inference for binary dynamics. Chaos, Solitons & Fractals. 196, 116350, 2025.

  • Deep Learning-Based Framework for Efficient Design of Multicomponent High Hardness High Entropy Alloys

    Yuexing Han,* Hui Wang, Pengfei Xu, Qiaochuan Chen, Rui Zhang, and Yi Liu*

    ACS Applied Materials & Interfaces

    Citation Information

    Yuexing Han,* Hui Wang, Pengfei Xu, Qiaochuan Chen, Rui Zhang, and Yi Liu*. Deep Learning-Based Framework for Efficient Design of Multicomponent High Hardness High Entropy Alloys. ACS Applied Materials & Interfaces, https://doi.org/10.1021/acsami.4c23010, 2025.

  • NFI-SGAT: Node feature initliazation-based streaming graph learning model with graph attenton network for critical node identification in temporal networks

    M.X. Yan, Y.X. Han, B. Wang*

    Neurocomputing

    Citation Information

    M.X. Yan, Y.X. Han, B. Wang*. NFI-SGAT: Node feature initliazation-based streaming graph learning model with graph attenton network for critical node identification in temporal networks. Neurocomputing 630, 129679, 2025.

  • Combined effects of information dissemination and resource allocation on spatial spreading of the epidemic

    K.B. Zhang, X. Hong, Y.X. Han, B. Wang*

    Applied Mathematical Modeling

    Citation Information

    K.B. Zhang, X. Hong, Y.X. Han, B. Wang*. Combined effects of information dissemination and resource allocation on spatial spreading of the epidemic. Applied Mathematical Modeling, 137, 115672, 2025.

  • ACAM: An Adaptive Context-aware Attention Module for Nested Named Entity Recognition

    Rui Zhang, Chenfan Ling, Qiaochuan Chen, Yuexing Han*

    2025 6th International Conference on Computer Information and Big Data Applications (CIBDA 2025)

    Citation Information

    Rui Zhang, Chenfan Ling, Qiaochuan Chen, Yuexing Han*. ACAM: An Adaptive Context-aware Attention Module for Nested Named Entity Recognition. 2025 6th International Conference on Computer Information and Big Data Applications (CIBDA 2025), 2025. EI conference, accepted

  • Improving Relation Extraction with Contrastive Learning-based Named Entity Recognition

    Rui Zhang, Chenfan Ling, Yuexing Han*, Qiaochuan Chen

    2025 6th International Conference on Computer Engineering and Application (ICCEA 2025)

    Citation Information

    Rui Zhang, Chenfan Ling, Yuexing Han*, Qiaochuan Chen. Improving Relation Extraction with Contrastive Learning-based Named Entity Recognition. 2025 6th International Conference on Computer Engineering and Application (ICCEA 2025), 2025. EI conference, accepted

  • A Method Based on Heterogeneous Graph and Contrastive Learning in Named Entity Recognition

    Rui Zhang, Yilin Zhang, Qiaochuan Chen, Yuexing Han*

    2025 8th International Conference on Advanced Algorithms and Control Engineering

    Citation Information

    Rui Zhang, Yilin Zhang, Qiaochuan Chen, Yuexing Han*. A Method Based on Heterogeneous Graph and Contrastive Learning in Named Entity Recognition. 2025 8th International Conference on Advanced Algorithms and Control Engineering. EI conference

  • Mechanical Property Prediction of Materials via a Literature Mining Approach

    Rui Zhang, Yilin Zhang, Qiaochuan Chen, Yuexing Han*

    2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology

    Citation Information

    Rui Zhang, Yilin Zhang, Qiaochuan Chen, Yuexing Han*. Mechanical Property Prediction of Materials via a Literature Mining Approach. 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology. EI conference

  • HSFE-Net: A Hybrid Semantic Encoder with Tri-Stage Feature Enhancement for Joint Entity and Relation Extraction

    Qiaochuan Chen, Chen Zhao, Rui Zhang, Yuexing Han*

    2025 6th International Conference on Computer Information and Big Data Applications (CIBDA 2025)

    Citation Information

    Qiaochuan Chen, Chen Zhao, Rui Zhang, Yuexing Han*. HSFE-Net: A Hybrid Semantic Encoder with Tri-Stage Feature Enhancement for Joint Entity and Relation Extraction. 2025 6th International Conference on Computer Information and Big Data Applications (CIBDA 2025), 2025. EI conference, accepted

  • Feature Augmentation via Dirichlet Mixup for Text-guided Diffusion Image Style Transfer

    Yuexing Han*, Liheng Ruan, Bing Wang

    2025 6th International Conference on Computer Information and Big Data Applications (CIBDA 2025)

    Citation Information

    Yuexing Han*, Liheng Ruan, Bing Wang. Feature Augmentation via Dirichlet Mixup for Text-guided Diffusion Image Style Transfer. 2025 6th International Conference on Computer Information and Big Data Applications (CIBDA 2025), EIindexedconference
2024

  • Statistics and Analysis of Lath Martensite Transformation Based on In-Situ Observation and Video Processing

    Yuexing Han, Liheng Ruan, Jianxun Fu, Bing Wang, Hongbin Wang and Xiangyu Xu*

    Physics of Metals and Metallography

    Citation Information

    Yuexing Han, Liheng Ruan, Jianxun Fu, Bing Wang, Hongbin Wang and Xiangyu Xu*. Statistics and Analysis of Lath Martensite Transformation Based on In-Situ Observation and Video Processing. Physics of Metals and Metallography, 2024, Vol. 125, Suppl. 1, pp. S106–S120.

  • Fast and Accurate Recognition of Perovskite Fluorescent Anti Counterfeiting Labels Based on Lightweight Convolutional Neural Networks

    Yuexing Han, Shengqi Bao, Bori Shi, Jinbo Wu, Bing Wang, Peng Ding, and Qiaochuan Chen*

    ACS Applied Materials & Interfaces

    Citation Information

    Yuexing Han, Shengqi Bao, Bori Shi, Jinbo Wu, Bing Wang, Peng Ding, and Qiaochuan Chen*. Fast and Accurate Recognition of Perovskite Fluorescent Anti Counterfeiting Labels Based on Lightweight Convolutional Neural Networks. ACS Applied Materials & Interfaces, 2024, 16(31): 41107-41118.

  • Quantitative prediction of Mg-RE-Ni alloy corrosion behavior by machine learning

    Sanlve Pei, Chaoneng Dai, Xiaohua Yang, Lijun Zhang, Haitao Wang, Shaolin Zhang, Yuexing Han*, Qian Li*, Jingfeng Wang*

    Corrosion Science

    Citation Information

    Sanlve Pei, Chaoneng Dai, Xiaohua Yang, Lijun Zhang, Haitao Wang, Shaolin Zhang, Yuexing Han*, Qian Li*, Jingfeng Wang*. Quantitative prediction of Mg-RE-Ni alloy corrosion behavior by machine learning. Corrosion Science, 237 (2024) 112324.

  • Bacbone-based dynamic graph spatio-temporal network for epidemic forecasting

    J.K. Mao, Y.X. Han*, G. Tanaka, B.Wang*

    Knowledge-Based Systems

    Citation Information

    J.K. Mao, Y.X. Han*, G. Tanaka, B.Wang*. Bacbone-based dynamic graph spatio-temporal network for epidemic forecasting. Knowledge-Based Systems, 296, 111952, 2024. arXiv:2312.00485.

  • MPSTAN: Metapopulation-Based Spatio–Temporal Attention Network for Epidemic Forecasting

    J.K. Mao, Y.X. Han*, G. Tanaka, B.Wang*

    Entropy

    Citation Information

    J.K. Mao, Y.X. Han*, G. Tanaka, B.Wang*. MPSTAN: Metapopulation-Based Spatio–Temporal Attention Network for Epidemic Forecasting. Entropy, 2024, 26, 278. https://doi.org/10.3390/e26040278.

  • Revealing the structure-property relationships of copper alloys with FAGC

    Yuexing Han*, Guanxin Wan, Bing Wang*, Yi Liu*

    arXiv

    Citation Information

    Yuexing Han*, Guanxin Wan, Bing Wang*, Yi Liu*, Revealing the structure-property relationships of copper alloys with FAGC. arXiv:2404.09515, 2024.

  • Thermal conductivity prediction of Al2O3-doped tetragonal YSZ coatings using deep learning

    Qiaochuan Chen, Sifan Han, Xuemei Song, Yi Zeng*, Yuexing Han*

    Journal of the European Ceramic Society

    Citation Information

    Qiaochuan Chen, Sifan Han, Xuemei Song, Yi Zeng*, Yuexing Han*. Thermal conductivity prediction of Al2O3-doped tetragonal YSZ coatings using deep learning. Journal of the European Ceramic Society, DOI:10.1016/j.jeurceramsoc.2024.04.057, 2024.

  • Corrosion of Mg Alloys Containing LPSO Phase Based on Machine Learning

    Sanlve Pei, Haitao Wang, Yuexing Han, Qian Li, Jingfeng Wang*

    The Chinese Journal of Nonferrous Metals

    Citation Information

    Sanlve Pei, Haitao Wang, Yuexing Han, Qian Li, Jingfeng Wang*. Corrosion of Mg Alloys Containing LPSO Phase Based on Machine Learning. The Chinese Journal of Nonferrous Metals, 34(6): 1964-1981, 2024. DOI: 10.11817/j.ysxb.1004.0609.2023-44562

  • Prediction of ultimate tensile strength of Al-Si alloys based on multimodal fusion learning

    Longfei Zhu, Qun Luo, Qiaochuan Chen, Yu Zhang, Lijun Zhang, Bin Hu, Yuexing Han*, Qian Li*

    MGE Advances

    Citation Information

    Longfei Zhu, Qun Luo, Qiaochuan Chen, Yu Zhang, Lijun Zhang, Bin Hu, Yuexing Han*, Qian Li*. Prediction of ultimate tensile strength of Al-Si alloys based on multimodal fusion learning. MGE Advances. 2024; 2(1):e26. DOI: 10.1002/mgea. https://doi.org/10.1002/mgea.26

  • Few-shot Image Generation via Information Transfer from the Built Geodesic Surface

    Yuexing Han*, Liheng Ruan, Bing Wang

    arXiv

    Citation Information

    Yuexing Han*, Liheng Ruan, Bing Wang, Few-shot Image Generation via Information Transfer from the Built Geodesic Surface. arXiv:2401.01749, 2024.

  • A Pseudo-labeling Based Weakly Supervised Segmentation Method For Few-Shot Texture Images

    Yuexing Han, Ruiqi Li, Bing Wang, Qiaochuan Chen*

    Expert Systems With Applications

    Citation Information

    Yuexing Han, Ruiqi Li, Bing Wang, Qiaochuan Chen*. A Pseudo-labeling Based Weakly Supervised Segmentation Method For Few-Shot Texture Images. Expert Systems With Applications, 238(2024), 122110, 2024.

  • Material Image Segmentation Method Based on Complex Texture Feature Fusion

    Yuexing Han, Shen Yang, Qiaochuan Chen, Bing Wang

    Computer Engineering and Design

    Citation Information

    Yuexing Han, Shen Yang, Qiaochuan Chen, Bing Wang. Material Image Segmentation Method Based on Complex Texture Feature Fusion, Computer Engineering and Design, Vol.45, No.1, pp. 220-227, 2024.

  • Conductivity and hardness prediction of Cu-Cr-Zr via feature augmentation on Geodesic curve

    Yuexing Han, Guanxin Wan, Yi Liu, Bing Wang

    2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)

    Citation Information

    Yuexing Han, Guanxin Wan, Yi Liu, Bing Wang. Conductivity and hardness prediction of Cu-Cr-Zr via feature augmentation on Geodesic curve. 2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT), Nanjing, China, 2024, pp.1937-1941. EIindexedconference

  • Optimizing Material Property Prediction Precision via Global-Local Dual-Path Feature Extraction in a Deep Learning Framework

    Qiaochuan Chen, Sifan Han, Yuexing Han*

    2024 4th Asia-Pacific Conference on Communications Technology and Computer Science

    Citation Information

    Qiaochuan Chen, Sifan Han, Yuexing Han*. Optimizing Material Property Prediction Precision via Global-Local Dual-Path Feature Extraction in a Deep Learning Framework. 2024 4th Asia-Pacific Conference on Communications Technology and Computer Science. EIindexedconference

  • Cross-modal Deep Learning for Predicting Material Performance: Example of Thermal Conductivity in Thermal Barrier Coatings

    Qiaochuan Chen, Sifan Han, Yuexing Han*

    2024 3rd International Conference on Electronic Information Engineering and Data Processing

    Citation Information

    Qiaochuan Chen, Sifan Han, Yuexing Han*. Cross-modal Deep Learning for Predicting Material Performance: Example of Thermal Conductivity in Thermal Barrier Coatings. 2024 3rd International Conference on Electronic Information Engineering and Data Processing. EIindexedconference
2023

  • FAGC: Feature Augmentation on Geodesic Curve in the Pre-Shape Space

    Yuexing Han*, Guanxin Wan, Bing Wang*

    arXiv

    Citation Information

    Yuexing Han*, Guanxin Wan, Bing Wang*, FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space. arXiv:2312.03325, 2023.

  • A literature-mining method of integrating text and table extraction for materials science publications

    Rui Zhang, Jiawang Zhang, Qiaochuan Chen, Bing Wang, Yi Liu, Quan Qian, Deng Pan, Jinhua Xia, Yinggang Wang, Yuexing Han*

    Computational Materials Science

    Citation Information

    Rui Zhang, Jiawang Zhang, Qiaochuan Chen, Bing Wang, Yi Liu, Quan Qian, Deng Pan, Jinhua Xia, Yinggang Wang, Yuexing Han*. A literature-mining method of integrating text and table extraction for materials science publications. Computational materials science, 230(2023) 112441, 2023. doi: 10.1016/j.commatsci.2023.112441

  • Microstructural evolution and coarsening behavior of the precipitates in 2205 duplex stainless steel aged at 850℃

    Yuexing Han*, Ruting Chi, Qiaochuan Chen, Bing Wang, Wei Liu, Yanlin He*

    Journal of Materials Research and Technology

    Citation Information

    Yuexing Han*, Ruting Chi, Qiaochuan Chen, Bing Wang, Wei Liu, Yanlin He*. Microstructural evolution and coarsening behavior of the precipitates in 2205 duplex stainless steel aged at 850℃. Journal of Materials Research and Technology, 26:2560-2574, 2023. doi: 10.1016/j.jmrt.2023.08.034

  • Classification of Sulfides in High-Sulfur Steel and Establishment of Automatic Sulfide Classification Method

    Ping Shen*, Kang Xu, Xing Wu, Cheng Guo, Ruting Chi, Yuexing Han, Jianxun Fu*

    Steel Research International

    Citation Information

    Ping Shen*, Kang Xu, Xing Wu, Cheng Guo, Ruting Chi, Yuexing Han, and Jianxun Fu*. Classification of Sulfides in High-Sulfur Steel and Establishment of Automatic Sulfide Classification Method. Steel Research international, 2300187. https://doi.org/10.1002/srin.202300187, 2023.

  • Impacts of self-initiated behavioral responses and pandemic fatigue on the epidemic spread in time-varying multiplex networks

    X. Hong, Y.X. Han*, B. Wang*

    Chaos, Solitons & Fractals

    Citation Information

    X. Hong, Y.X. Han*, B. Wang*. Impacts of self-initiated behavioral responses and pandemic fatigue on the epidemic spread in time-varying multiplex networks. Chaos, Solitons & Fractals, 173(2023), 113696, 2023.

  • Integrated extensive detection, contact tracing and dynamic social distancing interventions to prevent future epidemic waves

    X. Hong, Y.X. Han*, B. Wang*

    IEEE Transactions on Systems, Man, and Cybernetics: Systems

    Citation Information

    X. Hong, Y.X. Han*, B. Wang*. Integrated extensive detection, contact tracing and dynamic social distancing interventions to prevent future epidemic waves. IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 10, pp. 6281-6292, Oct. 2023, doi: 10.1109/TSMC.2023.3283091, 2023.

  • Data augmentation in material images using the improved HP-VAE-GAN

    Yuexing Han, Yuhong Liu, Qiaochuan Chen*

    Computational Materials Science

    Citation Information

    Yuexing Han, Yuhong Liu, Qiaochuan Chen*. Data augmentation in material images using the improved HP-VAE-GAN. Computational Materials Science 226, 112250, 2023. https://www.sciencedirect.com/science/article/pii/S0927025623002446, doi:https://doi.org/10.1016/j.commatsci.2023.112250.

  • Optimal discrete resource allocation on metapopulation networks for suppressing spatial spread of epidemics

    K.B. Zhang, X. Hong, Y.X. Han*, B. Wang*

    Chaos, Solitons & Fractals

    Citation Information

    K.B. Zhang, X., Hong, Y.X. Han*, B. Wang*. Optimal discrete resource allocation on metapopulation networks for suppressing spatial spread of epidemics. Chaos, Solitons, & Factals. 169, 113293, 2023.

  • A two-phase feature selection method for identifying influential spreaders of disease epidemic on complex networks

    X.Y. Wang, Y.X. Han*, B. Wang*

    Entropy

    Citation Information

    X.Y. Wang, Y.X. Han*, B. Wang*. A two-phase feature selection method for identifying influential spreaders of disease epidemic on complex networks. Entropy, 25, 1068, 2023.

  • Material structure segmentation method based on graph attention

    Qiaochuan Chen, Huishan Wei, Bing Wang, Liheng Ruan, Yuexing Han*

    Materials Today Communications

    Citation Information

    Qiaochuan Chen, Huishan Wei, Bing Wang, Liheng Ruan and Yuexing Han*. Material structure segmentation method based on graph attention. Materials Today Communications, 2023: 105941.

  • Impacts of detection and contact tracing on the epidemic spread in time-varying networks

    X. Hong, Y.X. Han, B. Wang*

    Applied Mathematics and Computation

    Citation Information

    X. Hong, Y.X.Han, B. Wang*. Impacts of detection and contact tracing on the epidemicspread in time-varying networks. Applied Mathematics Computation, 439, 127601, 2023.

  • Layer fusion for online mutual knowledge distillation

    Gan Hu*, Yanli Ji, Xingzhu Liang, Yuexing Han

    Multimedia Systems

    Citation Information

    Gan Hu*, Yanli Ji, Xingzhu Liang, Yuexing Han. Layer fusion for online mutual knowledge distillation. Multimedia Systems, 2023(29): 787-796.

  • A Literature Mining Method Based on Curve Graph Information in Literature

    Yuexing Han, Jinhua Xia, Bing Wang, Rui Zhang, Qiaochuan Chen*

    2023 8th International Conference on Information Systems Engineering (ICISE)

    Citation Information

    Yuexing Han, Jinhua Xia, Bing Wang, Rui Zhang, Qiaochuan Chen*. A Literature Mining Method Based on Curve Graph Information in Literature. 2023 8th International Conference on Information Systems Engineering (ICISE), Dalian, China, 2023, pp.290-297. EI

  • Lightweight and Crisp Curves Extract Network

    Qiaochuan Chen, Yinggang Wang, Rui Zhang, Yuexing Han*

    2023 8th International Conference on Information Systems Engineering (ICISE)

    Citation Information

    Qiaochuan Chen, Yinggang Wang, Rui Zhang, Yuexing Han*. Lightweight and Crisp Curves Extract Network. 2023 8th International Conference on Information Systems Engineering (ICISE), Dalian, China, 2023, pp.594-599. EI

  • Material Property Prediction by Integrating Literature-mining and Crossed Feature Selection

    Rui Zhang, Jiawang Zhang, Yuexing Han*, Qiaochuan Chen

    2023 8th International Conference on Information Systems Engineering (ICISE)

    Citation Information

    Rui Zhang, Jiawang Zhang, Yuexing Han*, Qiaochuan Chen. Material Property Prediction by Integrating Literature-mining and Crossed Feature Selection. 2023 8th International Conference on Information Systems Engineering (ICISE), Dalian, China, 2023, pp.1-8. EI
2022

  • CA-STD: Scene text detection in arbitrary shape based on conditional attention

    Xing Wu*, Yangyang Qi, Jun Song, Junfeng Yao, Yanzhong Wang, Yang Liu, Yuexing Han, Quan Qian

    Information

    Citation Information

    Xing Wu*, Yangyang Qi, Jun Song, Junfeng Yao, Yanzhong Wang, Yang Liu, Yuexing Han, Quan Qian. CA-STD: Scene text detection in arbitrary shape based on conditional attention. Information, Vol. 12, 565, 2022. (CAS Q3, Q2,  IF:6.9)

  • Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses

    X. Hong, Y.X. Han*, G. Tananka, B. Wang*

    Knowledge-Based Systems

    Citation Information

    X. Hong, Y.X. Han*, G. Tananka, B. Wang*. Co-evolution dynamics of epidemic and information under dynamical multi-source information and behavioral responses. Knowledge-Based Systems, 252, 109413, 2022.(CAS Q1top, IF:8.139)

  • Center environment feature models for materials image segmentation based on machine learning

    Yuexing Han*, Ruiqi Li, Shen Yang, Qiaochuan Chen, Bing Wang, Yi Liu

    Scientific Reports

    Citation Information

    Yuexing Han*, Ruiqi Li, Shen Yang, QiaoChuan Chen, Bing Wang, Yi Liu. Center environment feature models for materials image segmentation based on machine learning. Scientific Reports, 12, 12960, 2022. https://doi.org/10.1038/s41598-022-16824-w, published 28 July 2022. JCR: Q2, CAS Q3,  IF:4.996

  • Intervention of resource allocation strategies on spatial spread of epidemic

    K.B. Zhang, Y.X. Han*, B. Wang*

    Physical Review E

    Citation Information

    K.B. Zhang, Y.X. Han*, B. Wang*. Intervention of resource allocation strategies on spatial spread of epidemic, Phys. Rev. E, 105, 064308, 2022. CAS Q2

  • Intervention strategies for epidemic spread on bipartite metapopulation networks

    B. Wang, L.Z. Yang, Y.X. Han*

    Physical Review E

    Citation Information

    B. Wang, L.Z. Yang, Y.X. Han*. Intervention strategies for epidemic spread on bipartite metapopulation networks, Phys. Rev. E, 105, 064305, 2022.CAS Q2

  • Phase transition in the majority-vote model on time-varying networks

    B. Wang, X. Ding, Y.X. Han*

    Physical Review E

    Citation Information

    B. Wang, X. Ding, Y.X. Han*. Phase transition in the majority-vote model on time-varying networks,  Phys. Rev. E, 105, 014310, 2022.CAS Q2

  • A Classification Method for EEG Motor Imagery Signals based on Parallel Convolutional Neural Network

    Yuexing Han*, Bing Wang, Jie Luo, Long Li, Xiaolong Li

    Biomedical Signal Processing and Control

    Citation Information

    Yuexing Han*, Bing Wang, Jie Luo, Long Li, Xiaolong Li. A Classification Method for EEG Motor Imagery Signals based on Parallel Convolutional Neural Network. Biomedical Signal Processing and Control, 71, 103190, 2022. CAS Q2, IF:5.076 Q2

  • Dynamical immunization based on random-walk in time-varying networks

    B. Wang*, H.J. Zeng, Y.X. Han*

    Chaos, Solitons & Fractals

    Citation Information

    B. Wang*, H.J. Zeng, and Y.X. Han*. Dynamical immunization based on random-walk in time-varying networks. Chaos, Solitons & Fractals, 155, 111755, 2022.10. CAS Q1 Top, IF:9.922

  • Factor Analysis and Regression Prediction Model of Swimmers’ Performance Structure Based on Mixed Genetic Neural Network

    Rui Yuan*, Yuexing Han

    Computational Intelligence and Neuroscience

    Citation Information

    Rui Yuan*, Yuexing Han. Factor Analysis and Regression Prediction Model of Swimmers’ Performance Structure Based on Mixed Genetic Neural Network. Computational Intelligence and Neuroscience, Vol. 2022, Article ID 2052975, 2022. ISSN:1687-5265, Q2/CAS Q2(Mathematics and Computational Biology), IF:3.633

  • Facial expression recognition in facial occlusion scenarios: A path selection multi-network

    Liheng Ruan, Yuexing Han*, Jiarui Sun, Qiaochuan Chen, Jiaqi Li

    Displays

    Citation Information

    Liheng Ruan, Yuexing Han*, Jiarui Sun, Qiaochuan Chen, Jiaqi Li. Facial expression recognition in facial occlusion scenarios: A path selection multi-network. Displays, vol. 74, 102245, 2022. ISSN: 0141-9382, CAS Q2

  • Graph-UNet for Material Image Segmentation

    Huishan Wei, Yuexing Han*, Bing Wang, Qiaochuan Chen

    Application Research of Computers

    Citation Information

    Huishan Wei, Yuexing Han*, Bing Wang, Qiaochuan Chen. Graph-UNet for Material Image Segmentation. Application Research of Computers, Vol. 10, 39, 3196-3200, 2022

  • A Method for Recognizing Thermal Barrier Coating Morphological Features Based on Digital Image Processing Technology

    Yuhong Liu, Yuexing Han*, Yuyan Wang, Yi Zeng

    Journal of Shanghai University

    Citation Information

    Yuhong Liu, Yuexing Han*, Yuyan Wang, Yi Zeng. A Method for Recognizing Thermal Barrier Coating Morphological Features Based on Digital Image Processing Technology. Journal of Shanghai University, Vol. 28, Issue 3, 523-533, 2022, doi: 10.12066/j.issn.1007-2861.2371

  • Anti-Counterfeiting Label Detection Algorithm Based on a Lightweight Network

    Hongkun Zhang, Yuexing Han*, Qiaochuan Chen, Jinbo Wu

    Journal of Shanghai University

    Citation Information

    Hongkun Zhang, Yuexing Han*, Qiaochuan Chen, Jinbo Wu. Anti-Counterfeiting Label Detection Algorithm Based on a Lightweight Network. Journal of Shanghai University, Vol. 28, Issue 3, 534-544, 2022, doi: 10.12066/j.issn.1007-2861.2373

  • Recognition and segmentation of complex texture images based on superpixel algorithm and deep learning

    Yuexing Han, Shen Yang, Qiaochuan Chen*

    Computational Materials Science

    Citation Information

    Yuexing Han, Shen Yang, Qiaochuan Chen*. Recognition and segmentation of complex texture images based on superpixel algorithm and deep learning. Computational Materials Science, Vol. 209, 111398, 2022. CAS Q3, Q2: 3.300

  • 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 Computing and Applications

    Citation Information

    Yuexing Han*, Yuhong Liu, Bing Wang, Qiaochuan Chen, Leilei Song, Lin Tong, Chuanbin Lai, Akihiko Konagaya. A novel transfer learning for recognition of overlapping nano object. Neural Computing and Applications (NCAA), 34(7): 5729-5741, 2022. CAS Q2, Q1: 5.606

  • Research on a Patient Hand Evaluation Algorithm Based on Leap Motion

    Cunguang Yu, Yuexing Han, Xiaofan Zhang, Haohuan Ouyang

    Computer & Digital Engineering

    Citation Information

    Cunguang Yu, Yuexing Han, Xiaofan Zhang, Haohuan Ouyang. Research on a Patient Hand Evaluation Algorithm Based on Leap Motion. Computer & Digital Engineering, Issue 10, 2022(005):050, 2022. Chinese Core Journal of Science and Technology
2021

  • Automatic detection of Kikuchi bands based on Radon transform and PPHT

    Yuexing Han*, Ruiqi Li, Yi Zeng, Mengyang Liu

    Journal of Microscopy

    Citation Information

    Yuexing Han*, Ruiqi Li, Yi Zeng, Mengyang Liu. Automatic detection of Kikuchi bands based on Radon transform and PPHT. Journal of Microscopy, Vol. 285, Issue 2, pp. 95-111, 2021. CAS Q3

  • Impacts of information propagation on epidemic spread over different migration routes

    B. Wang*, M. Gou, Y.X. Han*

    Nonlinear Dynamics

    Citation Information

    B. Wang*, M. Gou, Y.X. Han*. Impacts of information propagation on epidemic spread over different migration routes. Nonlinear Dynamics, 105(4), 3835-3847, 2021. CAS Q1 Top, IF:5.741

  • Impacts of individual behavior changes on epidemic spreading in time-varying networks

    B. Wang, Z.Y. Xie, Y.X. Han*

    Phys. Rev. E

    Citation Information

    B. Wang, Z.Y. Xie, Y.X. Han*. Impacts of individual behavior changes on epidemic spreading in time-varying networks. Phys. Rev. E, 104, 044307, 2021. CAS Q2

  • Accelerating the Discovery of Cu−Sn−S Thermoelectric Compounds via High-Throughput Synthesis, Characterization, and Machine Learning-Assisted Image Analysis

    Ye Sheng, Tingting Deng, Pengfei Qiu, Xun Shi, Jinyang Xi*, Yuexing Han*, Jiong Yang*

    Chemistry of Materials

    Citation Information

    Ye Sheng, Tingting Deng, Pengfei Qiu, Xun Shi, Jinyang Xi*, Yuexing Han* and Jiong Yang*. Accelerating the Discovery of Cu−Sn−S Thermoelectric Compounds via High-Throughput Synthesis, Characterization, and Machine Learning-Assisted Image Analysis. Chemistry of Materials, 33, 6918-6924, 2021. IF:9.872, CAS Q1 Top

  • Unclonable Micro-Texture with Clonable Micro-Shape towards Rapid, Convenient, and Low-Cost Fluorescent Anti-Counterfeiting Labels

    Yuhong Lin, Hongkun Zhang, Jingyun Feng, Bori Shi, Mengying Zhang, Yuexing Han*, Weijia Wen, Tongyi Zhang, Yabing Qi, Jinbo Wu*

    Small

    Citation Information

    Yuhong Lin, Hongkun Zhang, Jingyun Feng, Bori Shi, Mengying Zhang, Yuexing Han*, Weijia Wen, Tongyi Zhang, Yabing Qi, and Jinbo Wu*. Unclonable Micro-Texture with Clonable Micro-Shape towards Rapid, Convenient, and Low-Cost Fluorescent Anti-Counterfeiting Labels. Small, 17(30), 2100244, 2021. IF:13.281, CAS Q1 Top

  • 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, Lu Wang

    Algorithms

    Citation Information

    Yuexing Han, Xiaolong Li, Bing Wang and Lu Wang. Boundary Loss-Based 2.5D Fully Convolutional Neural Networks Approach for Segmentation: A Case Study of the Liver and Tumor on Computed Tomography. Algorithms, 14(5), 144, 2021

  • Modeling of suppression and mitigation interventions in the COVID-19 epidemics

    Yuexing Han, Zeyang Xie, Yike Guo, Bing Wang

    BMC Public Health

    Citation Information

    Yuexing Han, Zeyang Xie, Yike Guo, Bing Wang. Modeling of suppression and mitigation interventions in the COVID-19 epidemics. BMC Public Health, 2021. IF:3.295, CAS Q3

  • Effect of Spraying Power on the Morphology of YSZ Splat and Micro-Structure of Thermal Barrier Coating

    Yuyan Wang, Yuexing Han, Chucheng Lin, Wei Zheng, Caifen Jiang, Aijia Wei, Yuhong Liu, Yi Zeng*, Ying Shi*

    Ceramics International

    Citation Information

    Yuyan Wang, Yuexing Han, Chucheng Lin, Wei Zheng, Caifen Jiang, Aijia Wei, Yuhong Liu, Yi Zeng*, and Ying Shi*. Effect of Spraying Power on the Morphology of YSZ Splat and Micro-Structure of Thermal Barrier Coating. Ceramics International, 47(13), 18956–18963, 2021. IF:4.527, CAS Q1 Top
2020

  • Image Anomaly Detection Using Normal Data Only by Latent Space Resampling

    Lu Wang, Dongkai Zhang, Jiahao Guo, Yuexing Han*

    Applied Sciences

    Citation Information

    Lu Wang, Dongkai Zhang, Jiahao Guo, Yuexing Han*. Image Anomaly Detection Using Normal Data Only by Latent Space Resampling. Applied Sciences, 10(23), 8660, 2020. CAS Q3, IF:2.679

  • Network structure-based interventions on spatial spread of epidemics in metapopulation networks

    Bing Wang*, Ming Gou, Yike Guo, G.H. Tanaka, Yuexing Han

    Phys. Rev. E

    Citation Information

    Bing Wang*, Ming Gou, Yike Guo, G.H. Tanaka, Yuexing Han. Network structure-based interventions on spatial spread of epidemics in metapopulation networks. Phys. Rev. E, 102, 062306, 2020. CAS Q2, IF:2.529

  • Random walks in time-varying networks with memory

    Bing Wang, Hongjuan Zeng, Yuexing Han*

    Phys. Rev. E

    Citation Information

    Bing Wang, Hongjuan Zeng, and Yuexing Han*. Random walks in time-varying networks with memory. Phys. Rev. E, 102, 062309, 2020. CAS Q2, IF:2.529

  • A path-based distribution measure for network comparison

    Bing Wang*, Zhiwen Sun, Yuexing Han*

    Entropy

    Citation Information

    Bing Wang*, Zhiwen Sun, and Yuexing Han*. A path-based distribution measure for network comparison. Entropy, 22, 1287, 2020. CAS Q3, IF:2.524

  • In-situ observation of grain refinement dynamics of hypoeutectic Al-Si alloy inoculated by Al-Ti-Nb-B alloy

    Jin Xu, Yang Li, Ke Ma, Yanan Fu, Enyu Guo, Zongning Chen, Qinfen Gu, Yuexing Han, Tongmin Wang, Qian Li*

    Scripta Materialia

    Citation Information

    Jin Xu, Yang Li, Ke Ma, Yanan Fu, Enyu Guo, Zongning Chen, Qinfen Gu, Yuexing Han, Tongmin Wang, Qian Li*. In-situ observation of grain refinement dynamics of hypoeutectic Al-Si alloy inoculated by Al-Ti-Nb-B alloy. Scripta Materialia, 187, 142-147, 2020. CAS Q1

  • A novel mobile robot navigation method based on hand-drawn paths

    Xuyan Hou, Wei Li, Yuexing Han*, Aoxiang Wang, Yihui Yang, Lilan Liu, Yingzhong Tian

    IEEE Sensors Journal

    Citation Information

    Xuyan Hou, Wei Li, Yuexing Han*, Aoxiang Wang, Yihui Yang, Lilan Liu, Yingzhong Tian. A novel mobile robot navigation method based on hand-drawn paths. IEEE Sensors Journal, Vol. 20 (19), 11660-11673, 2020. CAS Q2, IF:3.301

  • AtomicNet: a novel approach to identify the crystal structure of each simulated atom

    Yuexing Han, Leilei Song, Bing Wang, Sheng Sun, Quan Qian, Qian Wang

    Modelling and Simulation in Materials Science and Engineering

    Citation Information

    Yuexing Han, Leilei Song, Bing Wang, Sheng Sun, Quan Qian, Qian Wang. AtomicNet: a novel approach to identify the crystal structure of each simulated atom. Modelling and Simulation in Materials Science and Engineering, 28, 035005, 2020. CAS Q3, IF:2.248

  • Impacts of multitype interactions on epidemic spreading in temporal networks

    Ningning Dong, Yuexing Han, Qing Li, Bing Wang*

    International Journal of Modern Physics C

    Citation Information

    Ningning Dong, Yuexing Han, Qing Li, Bing Wang*. Impacts of multitype interactions on epidemic spreading in temporal networks. International Journal of Modern Physics C, Vol. 31, No. 1, 2050020, 2020. CAS Q4
2019

  • Research on Binocular Distance Measurement Technology Based on Geometric Constraints

    Long Li, Aoxiang Wang, Yuexing Han, Yingzhong Tian*

    Metrology and Measurement Technology

    Citation Information

    Long Li, Aoxiang Wang, Yuexing Han, Yingzhong Tian*. Research on Binocular Distance Measurement Technology Based on Geometric Constraints. Metrology and Measurement Technology, 46(7):8-11, 2019.

  • Research on Interactive Control of Mobile Robots Based on a Sketch Interface

    Long Li, Aoxiang Wang, Yuexing Han, Yingzhong Tian*

    Citation Information

    Long Li, Aoxiang Wang, Yuexing Han, Yingzhong Tian*. Research on Interactive Control of Mobile Robots Based on a Sketch Interface. 2019.

  • Segmenting Images with Complex Textures by Using Hybrid Algorithm

    Yuexing Han*, Chuanbin Lai, Bing Wang, Hui Gu

    Journal of Electronic Imaging

    Citation Information

    Yuexing Han*, Chuanbin Lai, Bing Wang, Hui Gu. Segmenting Images with Complex Textures by Using Hybrid Algorithm. Journal of Electronic Imaging, 28(1):13-30, 2019. CAS Q4, IF:0.945 <br>Software: https://github.com/han-yuexing/SegmentingImageWithHybrid_software.git <br>Code: https://github.com/han-yuexing/SegmentingImageWithHybrid_code.git

  • Segmentation and Analysis Method for Two-Phase Ceramic (HfB2-B4C) Based on the Detection of Virtual Boundaries

    Yuexing Han, Chuanbin Lai, Bing Wang*, Tianyi Hu, Dongli Hu, Hui Gu

    Image Analysis & Stereology

    Citation Information

    Yuexing Han, Chuanbin Lai, Bing Wang*, Tianyi Hu, Dongli Hu, Hui Gu. Segmentation and Analysis Method for Two-Phase Ceramic (HfB2-B4C) Based on the Detection of Virtual Boundaries. Image Analysis & Stereology, 38(1):95-105, 2019. CAS Q3, IF:1.424 <br>Software: https://github.com/han-yuexing/SegmentationForCeramic-HFB2-B4C_software.git <br>Code: https://github.com/han-yuexing/SegmentationForCeramic-HFB2-B4C_code.git

  • Material Image Segmentation with the Machine Learning Method and Complex Network Method

    Chuanbin Lai, Leilei Song, Yuexing Han*, Qian Li, Hui Gu, Bing Wang, Quan Qian, Wei Chen

    MRS Advances

    Citation Information

    Chuanbin Lai, Leilei Song, Yuexing Han*, Qian Li, Hui Gu, Bing Wang, Quan Qian, Wei Chen. Material Image Segmentation with the Machine Learning Method and Complex Network Method. MRS Advances, Vol. 4, Issue 19, 1119-1124, 2019. ESCI

  • Joint effect of individual’s memory and attractiveness in temporal network on spreading dynamics

    M. Yang, Bing Wang*, Y.X. Han

    International Journal of Modern Physics C

    Citation Information

    M. Yang, B. Wang*, Y.X. Han. Joint effect of individual’s memory and attractiveness in temporal network on spreading dynamics. International Journal of Modern Physics C, 30(1), 1950011, 2019. CAS Q4

  • Segmentation and Recognition of DNA Robots in AFM Images

    Lin Tong, Yuexing Han*, Akihiko Konagaya

    Computer Engineering and Applications

    Citation Information

    Lin Tong, Yuexing Han*, Akihiko Konagaya. Segmentation and Recognition of DNA Robots in AFM Images. Computer Engineering and Applications, 55(11):192-198, 2019. Chinese Core Journal
2018

  • Random walk on the activity-driven model with mutual selection

    M. Yang, Bing Wang*, Y.X. Han

    Europhysics Letters

    Citation Information

    M. Yang, B. Wang*, Y.X. Han. Random walk on the activity-driven model with mutual selection. Europhysics Letters, 124-48004, 1-7, 2018. CAS Q3

  • Virtual Boundary Detection Method Based on Deep Learning

    Chuanbin Lai, Yuexing Han*, Hui Gu, Bing Wang

    Journal of Computer Applications

    Citation Information

    Chuanbin Lai, Yuexing Han*, Hui Gu, Bing Wang. Virtual Boundary Detection Method Based on Deep Learning. Journal of Computer Applications, 38(11):3211-3215, 2018. Chinese Core Journal

  • Segmenting overlapping nanoobjects in atomic force microscopy image

    Qian Wang, Yuexing Han*, Qing Li, Bing Wang, Akihiko Konagaya

    Journal of Nanophotonics

    Citation Information

    Qian Wang, Yuexing Han*, Qing Li, Bing Wang, Akihiko Konagaya. Segmenting overlapping nanoobjects in atomic force microscopy image. Journal of Nanophotonics, 12(1):016003, 2018. CAS Q4, IF:1.562

  • Material Image Segmentation with the Machine Learning Method and Complex Network Method

    Chuanbin Lai, Leilei Song, Yuexing Han*, Qian Li, Hui Gu, Bing Wang, Quan Qian, Wei Chen

    2018 Materials Research Society (MRS) Conference

    Citation Information

    Chuanbin Lai, Leilei Song, Yuexing Han*, Qian Li, Hui Gu, Bing Wang, Quan Qian, and Wei Chen. Material Image Segmentation with the Machine Learning Method and Complex Network Method. 2018 Materials Research Society (MRS), Nov. 25-30, 2018
2017

  • Interplay between epidemic spread and information propagation on metapopulation networks

    Bing Wang*, Y.X. Han, G. Tananka

    Journal of Theoretical Biology

    Citation Information

    Bing Wang*, Y.X. Han, G. Tananka. Interplay between epidemic spread and information propagation on metapopulation networks. Journal of Theoretical Biology, 420:18-25, 2017. IF:2.049
2016

  • SRT Division Algorithm and Implementation Technology for Ternary Optical Computers

    Yi Jin, Qun Xu, Yunfu Shen, Weimin Li, Yuexing Han

    Scientia Sinica Informationis

    Citation Information

    Yi Jin, Qun Xu, Yunfu Shen, Weimin Li, Yuexing Han. SRT Division Algorithm and Implementation Technology for Ternary Optical Computers. Scientia Sinica Informationis, 539-550, 2016.

  • Structure and Theory of the Dual-Space Memory for Ternary Optical Computers

    Shan Ouyang, Junjie Peng, Yi Jin, Qun Xu, Yunfu Shen, Xuemin Liu, Yuexing Han, Weimin Li

    Scientia Sinica Informationis

    Citation Information

    Shan Ouyang, Junjie Peng, Yi Jin, Qun Xu, Yunfu Shen, Xuemin Liu, Yuexing Han, Weimin Li. Structure and Theory of the Dual-Space Memory for Ternary Optical Computers. Scientia Sinica Informationis, 46(6):743-762, 2016.

  • Application Characteristics of the Structural-Quantity Computer: Ternary Optical Computer

    Yi Jin, Qun Xu, Shan Ouyang, Yuexing Han, Weimin Li

    Scientia Sinica Informationis

    Citation Information

    Yi Jin, Qun Xu, Shan Ouyang, Yuexing Han, Weimin Li. Application Characteristics of the Structural-Quantity Computer: Ternary Optical Computer. Scientia Sinica Informationis, 46(3):311-324, 20163 March

  • On local analyticities of some types of ceramic material images defined by Cauchy-type integrals and analytic method of edge detection

    Guangtai Ding*, Qi Liu, Huiran Zhang, Yuexing Han

    The 5th Asian Materials Data Symposium

    Citation Information

    Guangtai Ding*, Qi Liu, Huiran Zhang, Yuexing Han. On local analyticities of some types of ceramic material images defined by Cauchy-type integrals and analytic method of edge detection. The 5th Asian Materials Data Symposium, Hanoi, Vietnam, 264-273, 2016
2015

  • Automatic Recognition of DNA Pliers in Atomic Force Microscopy Images

    Yuexing Han*, Akito Hara, Akinori Kuzuya, Ryosuke Watanabe, Yuichi Ohya, Akihiko Konagaya

    New Generation Computing

    Citation Information

    Yuexing Han*, Akito Hara, Akinori Kuzuya, Ryosuke Watanabe, Yuichi Ohya, Akihiko Konagaya. Automatic Recognition of DNA Pliers in Atomic Force Microscopy Images. New Generation Computing, 33:253-270, 2015. SCI:0.821
2014

  • Recognizing Objects with Multiple Configurations

    Yuexing Han*, Hideki Koike, Masanori Idesawa

    Pattern Analysis and Applications

    Citation Information

    Yuexing Han*, Hideki Koike, and Masanori Idesawa. Recognizing Objects with Multiple Configurations. Pattern Analysis and Applications, Vol. 17, Issue 1, pp. 195-209, 2014. SCI:1.627

  • Tracking Single-Microtubules with the Lengths and the Hausdorff Distances of Their Corresponding B-Spline Curves

    Yuexing Han, Inoue Daisuke, Akira Kakugo, Akihiko Konagaya

    IEEE International Conference on Image Processing Theory, Tool and Applications (IPTA‘14)

    Citation Information

    Yuexing Han, Inoue Daisuke, Akira Kakugo, and Akihiko Konagaya. Tracking Single-Microtubules with the Lengths and the Hausdorff Distances of Their Corresponding B-Spline Curves. IEEE International Conference on Image Processing Theory, Tool and Applications (IPTA‘14), pp.235-241, Oct.14-17, 2014. EI

  • Automated Microtubule Path Tracking on Gliding Assay Using Hidden Markov Model

    Bulibuli Mathemuti, Yuexing Han, Daisuke Inoue, Akira Kakugo, Akihiko Konagaya

    International Conference on Bioinformatics (InCoB)

    Citation Information

    Bulibuli Mathemuti, Yuexing Han, Daisuke Inoue, Akira Kakugo and Akihiko Konagaya. Automated Microtubule Path Tracking on Gliding Assay Using Hidden Markov Model. International Conference on Bioinformatics (InCoB), 31th July-2nd August, 2014. EI
2013

  • Recognize Objects with Three Kinds of Information in Landmarks

    Yuexing Han*

    Pattern Recognition

    Citation Information

    Yuexing Han*. Recognize Objects with Three Kinds of Information in Landmarks. Pattern Recognition, Vol.46, pp.2860-2873, 2013. SCI:3.725, EI

  • Automatic Recognition of DNA Nanostructures in Atomic Force Microscopy (AFM) Image: First Experience on DNA pliers

    Yuexing Han, Akito Hara, Akinori Kuzuya, Ryosuke Watanabe, Yuichi Ohya, Akihiko Konagaya

    International Conference on Applied and Theoretical Information Systems Research

    Citation Information

    Yuexing Han, Akito Hara, Akinori Kuzuya, Ryosuke Watanabe, Yuichi Ohya, and Akihiko Konagaya. Automatic Recognition of DNA Nanostructures in Atomic Force Microscopy (AFM) Image: First Experience on DNA pliers. International Conference on Applied and Theoretical Information Systems Research, Taipei, Taiwan, November 22-24, 2013

  • Towards an Automatic Recognition of DNA Nanostructures on AFM Images

    Yuexing Han, Hara Akito, Akinori Kuzuya, Ryosuke Watanabe, Yuichi Ohya, Akihiko Konagaya

    情報計算化学生物学会(CBI) 2013年大会

    Citation Information

    Yuexing Han, Hara Akito, Akinori Kuzuya, Ryosuke Watanabe, Yuichi Ohya, Akihiko Konagaya. Towards an Automatic Recognition of DNA Nanostructures on AFM Images. CBI 2013 Conference, 2013.10.2831
2012

  • Control surface's boundary and combine surfaces based on the Loop's subdivision

    Yuexing Han*, Xiuping Liu

    Journal of Hefei University of Technology (Natural Science)

    Citation Information

    Yuexing Han*, Xiuping Liu. Control surface's boundary and combine surfaces based on the Loop's subdivision. Journal of Hefei University of Technology (Natural Science), pp.1719-1724, 2012

  • Acquisition of Object Pose from Barcode for Robot Manipulation

    Yuexing Han, Yasushi Sumi, Yoshio Matsumoto, Noriaki Ando

    Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR 2012)

    Citation Information

    Yuexing Han, Yasushi Sumi, Yoshio Matsumoto, and Noriaki Ando. Acquisition of Object Pose from Barcode for Robot Manipulation. Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR 2012), Tsukuba, Japan, 5-8 Nov. 2012, pp.299-310. EI

  • Obtain Object Pose from Barcode and QRcode

    Yuexing Han, Yasushi Sumi, Yoshio Matsumoto, Noriaki Ando

    日本ロボット学会第30回記念学術講演会のInternational Session

    Citation Information

    Yuexing Han, Yasushi Sumi, Yoshio Matsumoto and Noriaki Ando. Obtain Object Pose from Barcode and QRcode. International Session of the 30th Anniversary Academic Lecture of the Robotics Society of Japan, 2012.9.179.20
2010

  • Recognition of Multiple Configurations of Objects with Limited Data

    Yuexing Han*, Bing Wang, Masanori Idesawa, Hiroyuki Shimai

    Pattern Recognition

    Citation Information

    Yuexing Han*, Bing Wang, Masanori Idesawa, and Hiroyuki Shimai. Recognition of Multiple Configurations of Objects with Limited Data. Pattern Recognition, Vol.43(3), pp.1467-1475, 2010. SCI:3.725, EI

  • Recognition of Objects in Various Situations from Two Dimensional Images

    Yuexing Han, Hideki Koike, Bing Wang, Masanori Idesawa

    IEEE International Conference on Image Processing Theory, Tool and Applications (IPTA‘10)

    Citation Information

    Yuexing Han, Hideki Koike, Bing Wang, and Masanori Idesawa. Recognition of Objects in Various Situations from Two Dimensional Images. IEEE International Conference on Image Processing Theory, Tool and Applications (IPTA‘10), pp.405-410, Jul.7-10, 2010. EI
2009

  • Multiple phase transitions in the culture dissemination

    Bing Wang, Yuexing Han, L. Chen, K. Aihara

    Complex Sciences, LNICST

    Citation Information

    B. Wang, Yuexing Han, L. Chen, and K. Aihara. Multiple phase transitions in the culture dissemination. Complex Sciences, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), Vol. 4, pp.286-290, 2009. EI

  • Limited ability driven phase transitions in the coevolution process in Axelrod’s model

    Bing Wang, Yuexing Han, Luonan Chen, Kazuyuki Aihara

    Phys. Letter. A

    Citation Information

    Bing Wang, Yuexing Han, Luonan Chen, and Kazuyuki Aihara. Limited ability driven phase transitions in the coevolution process in Axelrod’s model. Phys. Letter. A, 373, pp.1519-1523, 2009. SCI:1.863, EI

  • A Method of Extracting Landmarks on Contour using Bezier Curves Fitting for Shapes Recognition

    Yuexing Han*, Masanori Idesawa

    Sensing and Perception

    Citation Information

    Yuexing Han* and Masanori Idesawa. A Method of Extracting Landmarks on Contour using Bezier Curves Fitting for Shapes Recognition. Sensing and Perception, 16, pp.11-16, 2009

  • Multiple phase transitions in the culture dissemination

    Bing Wang, Yuexing Han, Luonan Chen, Kazuyuki Aihara

    Complex’09, Shanghai, China

    Citation Information

    Bing Wang, Yuexing Han, Luonan Chen, and Kazuyuki Aihara. Multiple phase transitions in the culture dissemination. Complex’09, Shanghai, China. Feb.23-25, 2009. EI
2008

  • Shape matching and object recognition

    Yuexing Han*, Masanori Idesawa

    Sensing and Perception

    Citation Information

    Yuexing Han* and Masanori Idesawa. Shape matching and object recognition. Sensing and Perception, 15, pp.129-138, 2008

  • Shape Animation and Shape Matching

    Yuexing Han, Masanori Idesawa

    The Vision Society of Japan

    Citation Information

    Yuexing Han and Masanori Idesawa. Shape Animation and Shape Matching. The Vision Society of Japan, 2008/8/4-8/5

  • The Shortest Path in Shape Space for Shape Matching

    Yuexing Han, Masanori Idesawa, Hiroyuki Shimai

    The 11th International Conference on Humans and Computers (HC'2008)

    Citation Information

    Yuexing Han, Masanori Idesawa, and Hiroyuki Shimai. The Shortest Path in Shape Space for Shape Matching. The 11th International Conference on Humans and Computers (HC'2008), pp.71-76, 2008
2004

  • Boundary combination algorithm of Loop's subdivision models

    Yuexing Han, Xiuping Liu, Xiquan Shi

    Journal of Dalian University of Technology

    Citation Information

    Yuexing Han, Xiuping Liu, and Xiquan Shi. Boundary combination algorithm of Loop's subdivision models. Journal of Dalian University of Technology, Vol.44 No.01, pp.12-16, 2004. EI
Books
  • Object Recognition with a Limited Database by Using Shape Space Theory.
    Yuexing Han, Bing Wang, Hideki Koike and Masanori Idesawa
    Image Processing: Concepts, Methodologies, Tools, and Applications (3 Volumes) Information Resources Management Association (IRMA, USA) 2013
    Chapter 11, pp. 181-200 ISBN13: 9781466639942
  • Object Recognition with a Limited Database by Using the Shape Space Theory.
    Yuexing Han, Bing Wang, Hideki Koike and Masanori Idesawa
    Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies IGI Global 2011
    Chapter 8, pp. 128-147
PhD Thesis
  • A Study on Recognition of Objects with Multiple Configurations by Using Limited Data Sets.
    Yuexing Han
    [View Full Text]
Other Articles
  • My Study Abroad Life
    People's China 2012, Issue 7 2012.7.9
Patents
  • Image Generation Method Based on Shape Space Theory
    Yuexing Han, Liheng Ruan, Bing Wang
    2023117418451 December 18, 2023
  • Data Feature Enhancement Method, Apparatus, Electronic Device, and Medium
    Yuexing Han, Guanxin Wan, Bing Wang
    2023111837377 September 14, 2023
  • Image Segmentation Method Based on a Weakly Supervised Neural Network with Few-Shot Scribble Annotations
    Yuexing Han, Ruiqi Li, Quan Qian, Bing Wang
    202310157735.4 February 23, 2023
  • Steel Microstructure Recognition Method and Apparatus Based on Deep Learning
    Ziying Ren, Yu Zhang, Lu Wang, Yuexing Han, Tianpeng Zhou, Baoyu Song, Zhiyu Geng, Jun Song, Zhonghua Cao
    CN202211507567.9 November 29, 2022
  • Material Image Segmentation and Recognition Method Based on Computer Vision and Deep Learning
    Ziying Ren, Yuexing Han, Lu Wang, Baoyu Song, Zhiyu Geng, Tianpeng Zhou, Yu Zhang, Jun Song
    CN202210684129.3 June 17, 2022
  • DP Steel Microstructure Image Segmentation Method, Apparatus, and Electronic Device
    Ziying Ren, Lu Wang, Yu Zhang, Yuexing Han, Zhiyu Geng, Baoyu Song, Tianpeng Zhou, Zhonghua Cao, Jingjing Wang, Han Xue, Xiaoxiang Cheng
    CN202210151321.6 February 16, 2022
  • Material Image Segmentation Method Based on Multi-Dimensional Feature Fusion and Graph Attention
    Yuexing Han, Huishan Wei, Bing Wang, Qiaochuan Chen, Quan Qian
    202210318948.6 March 29, 2022
  • Literature Curve Separation and Coordinate Information Extraction Method Based on Image Processing
    Yuexing Han, Qiaochuan Chen, Yinggang Wang, Rui Zhang, Deng Pan, Jinghua Xia, Jiawang Zhang
    202111490372.3 December 8, 2021
  • 3D Image Segmentation Method Based on a Dual-Path Attention Encoder-Decoder Network
    Yuexing Han, Xiaolong Li, Quan Qian, Bing Wang
    202110863600.0 July 29, 2021
  • Bipartite-Graph-Based Epidemic Propagation Intervention Method
    Bing Wang, Lizhen Yang, Yuexing Han, Weimin Li
    202110827481.3 July 22, 2021
  • Material Performance Prediction Method and System Based on Multimodal Learning
    Quan Qian, Yi Zeng, Yuexing Han, Rui Zhang
    202110807296.8 July 16, 2021
  • Material Performance Prediction Method and System Based on Privacy Protection
    Quan Qian, Haokun Fang, Rui Zhang, Yuexing Han
    202110807209.9 July 16, 2021
  • Interactive Image Segmentation Method Based on Machine Learning
    Yuexing Han, Shen Yang, Bing Wang
    202110186749.X February 10, 2021
  • Literature Table Content Recognition and Information Extraction Method Based on Image Processing
    Yuexing Han, Jiawang Zhang, Rui Zhang, Qiaochuan Chen, Quan Qian, Jinghua Xia, Yinggang Wang
    ZL202110185627.9 February 10, 2021
  • Thin-Film Pattern Database Establishment and Classification Recognition Method for Non-Copyable Anti-Counterfeiting Labels
    Yuexing Han, Hongkun Zhang, Jinbo Wu, Bing Wang, Quan Qian
    202011559042.0 December 25, 2020
  • Geometric Information Extraction Method for Thermal Barrier Coating Cracks
    Yuexing Han, Yuhong Liu, Bing Wang, Quan Qian
    202011429047.1 December 7, 2020
  • Kikuchi Pattern Geometric Information Extraction Method Based on Detected Lines and Line Segments
    Yuexing Han, Ruiqi Li, Bing Wang
    202010297634.3
  • Image Segmentation Method Based on Complex Network Theory
    Yuexing Han, Leilei Song, Bing Wang
    202010083808.6
  • Multi-Angle Object Image Acquisition Device for Machine Learning and Deep Learning Training
    Yuexing Han, Ligang Yang, Bing Wang
    201810104230.0
  • Non-Touchscreen Human-Computer Interaction System and Method Based on Gesture Control
    Yuexing Han, Bing Wang
    201710414437.3
  • Hand Function Evaluation Device and Method Based on Changes in the Three-Dimensional Positions of Hand Parts
    Yuexing Han
    ZL201710383667.8
  • Method for Improving Atomic Force Microscopy Image Quality
    Yuexing Han, Bing Wang
    ZL201610093121.4
  • Method for Automatically Recording Moving Objects in a Surveillance System
    Yuexing Han, Bing Wang
    201610093110.6
  • Hand Function Evaluation Method Based on Image Processing Technology
    Yuexing Han
    ZL201610165832.8
Software Copyrights
  • Coating Material Low Temperature Thermal Conductivity Prediction Software V1.0
    Qiaochuan Chen, Sifan Han, Yuexing Han
    2023SR1428447 Soft Copyright No. 12015620
    Dev. Date: 2023-08-01
    First Pub. Date: 2023-08-09
    Reg. Date: 2023-11-14
    Applicant: Shanghai University
  • Anti-counterfeiting Label Recognition Platform Based on Deep Learning V1.0
    Yuexing Han, Shengqi Bao, Bing Wang
    2023SR1430101 Soft Copyright No. 12017274
    Dev. Date: 2023-06-30
    First Pub. Date: 2023-07-30
    Reg. Date: 2023-11-14
    Applicant: Shanghai University
  • Small-sample Image Generation Platform Software Integrating Deep Learning Methods and Shape Space Theory V1.0
    Yuexing Han, Liheng Ruan, Bing Wang
    2023SR1425482 Soft Copyright No. 12012655
    Dev. Date: 2023-06-30
    First Pub. Date: 2023-07-30
    Reg. Date: 2023-11-14
    Applicant: Shanghai University
  • Material Property Prediction Platform Based on Shape Space Theory and Machine Learning Methods V1.0
    Yuexing Han, Guanxin Wan, Bing Wang
    2023SR1427901 Soft Copyright No. 12015074
    Dev. Date: 2023-06-02
    First Pub. Date: 2023-07-01
    Reg. Date: 2023-11-14
    Applicant: Shanghai University
  • Solid Solution Mg-Gd Alloy Yield Strength Calculation Software V1.0
    Yuexing Han, Lu Wang, Bing Wang
    2023SR1424850 Soft Copyright No. 12012023
    Dev. Date: 2023-05-20
    First Pub. Date: 2023-05-21
    Reg. Date: 2023-11-14
    Applicant: Shanghai University
  • Result Graph Coordinate Extraction Program V1.0
    Yuexing Han, Zunlong Chen, Rui Zhang
    2022SR1472537
    Dev. Date: 2022-08-18
    Reg. Date: 2022-08-23
    Applicant: Shanghai University
  • Smart Party Building WeChat Mini Program Platform V1.0
    Yuexing Han, Guanxin Wan, Bing Wang
    2022SR472538 Soft Copyright No. 11818720
    Dev. Date: 2022-07-13
    Reg. Date: 2022-11-04
    Applicant: Shanghai University
  • Web-based Mobile Recruitment System Software
    Qiaochuan Chen, Sifan Han, Yuexing Han
    2022SR1472536 Soft Copyright No. 10426735
    Dev. Date: 2022-07-19
    Reg. Date: 2022-11-04
    Applicant: Shanghai University
  • PDF Scientific Literature Chart and Formula Detection Software V1.0
    Rui Zhang, Jiawang Zhang, Yuexing Han
    2022SR1446824 Soft Copyright No. 10401023
    Dev. Date: 2022-05-10
    First Pub. Date: 2022-07-05
    Reg. Date: 2022-11-01
    Applicant: Shanghai University
  • Interphase Energy Calculation Platform V1.0
    Yuexing Han, Ruting Chi, Bing Wang
    2022SR1402923 Soft Copyright No. 10357122
    Dev. Date: 2022-06-13
    First Pub. Date: 2022-07-13
    Reg. Date: 2022-10-14
    Applicant: Shanghai University
  • AFM Image DNA Robot Segmentation Software V1.0
    Yuexing Han, Yuhong Liu, Bing Wang
    2022SR1365017 Soft Copyright No. 10319216
    Dev. Date: 2021-09-10
    First Pub. Date: 2021-10-05
    Reg. Date: 2022-09-21
    Applicant: Shanghai University
  • AFM Image DNA Robot Recognition Software V1.0
    Yuexing Han, Yuhong Liu, Bing Wang
    2022SR1365016 Soft Copyright No. 10319218
    Dev. Date: 2021-06-10
    First Pub. Date: 2021-10-30
    Reg. Date: 2022-09-21
    Applicant: Shanghai University
  • Curve Coordinate Image Information Extraction Software V1.0
    Qiaochuan Chen, Yinggang Wang, Yuexing Han
    2022SR1365016 Soft Copyright No. 10319215
    Dev. Date: 2022-06-24
    Reg. Date: 2022-09-21
    Applicant: Shanghai University
  • Information Extraction Software for Curve Graphs in Literature V1.0
    Yuexing Han, Jinhua Xia, Bing Wang
    2022SR1365018
    Dev. Date: 2022-05-04
    First Pub. Date: 2022-07-04
    Reg. Date: 2022-09-21
    Applicant: Shanghai University
  • Automatic Phase Diagram Information Recognition Software V1.0
    Yuexing Han, Shaohang Wang, Bing Wang
    2022SR1384561
    Dev. Date: 2022-05-23
    First Pub. Date: 2022-06-21
    Reg. Date: 2022-09-29
    Applicant: Shanghai University
  • Material Structure Image Segmentation Software for Complex Textures V1.0
    Yuexing Han, Huishan Wei, Bing Wang
    2022SR0859786
    Dev. Date: 2021-10-07
    First Pub. Date: 2021-10-11
    Reg. Date: 2022-06-28
    Applicant: Shanghai University
  • Material Image Segmentation Software Based on Deep Learning V1.0
    Yuexing Han, Shen Yang, Qiaochuan Chen, Bing Wang
    2021SR1803889
    Dev. Date: 2021-06-01
    First Pub. Date: 2021-08-02
    Reg. Date: 2021-11-19
    Applicant: Shanghai University
  • AFM Image Denoising Software V1.0
    Yuexing Han, Yuhong Liu, Bing Wang
    2021SR1803955
    Dev. Date: 2020-10-07
    First Pub. Date: 2021-10-08
    Reg. Date: 2021-11-19
    Applicant: Shanghai University
  • Non-replicable Anti-counterfeiting Label Thin Film Pattern Database Establishment and Classification Recognition Software V1.0
    Yuexing Han, Hongkun Zhang, Bing Wang
    2021SR1264142
    Dev. Date: 2020-10-25
    Reg. Date: 2021-08-25
    Applicant: Shanghai University
  • Automatic Segmentation Software for Liver and Tumor CT Images Based on Dual-path Network V1.0
    Yuexing Han, Xiaolong Li, Bing Wang
    2021SR1229122
    Dev. Date: 2021-06-21
    Reg. Date: 2021-08-19
    Applicant: Shanghai University
  • Information Extraction Software for Charts in Literature V1.0
    Yuexing Han, Jinhua Xia, Bing Wang
    2021SR1218880
    Dev. Date: 2021-05-01
    Reg. Date: 2021-08-17
    Applicant: Shanghai University
  • Table Text Recognition and Restoration Software V1.0
    Yuexing Han, Jiawang Zhang, Rui Zhang
    2021SR0492854
    Reg. Date: 2021-04-02
    Applicant: Shanghai University
  • Geometric Information Extraction Software for Thermal Barrier Coating Cracks V1.0
    Yuexing Han, Yuhong Liu, Bing Wang
    2021SR0492853
    Reg. Date: 2021-04-02
    Applicant: Shanghai University
  • Immunity Analysis Software for Temporal Networks Based on Random Walk V1.0
    Bing Wang, Yuexing Han
    2021SR0221874
    Reg. Date: 2021-02-08
    Applicant: Shanghai University
  • Automatic Comparative Analysis Software for Networks Based on Path Distribution V1.0
    Bing Wang, Yuexing Han
    2021SR0087832
    Reg. Date: 2021-01-15
    Applicant: Shanghai University
  • Image Segmentation Software Based on Machine Learning V2.0
    Yuexing Han, Shen Yang, Bing Wang
    2020SR0686106
    Reg. Date: 2020-06-29
    Applicant: Shanghai University
  • Single Lamella Recognition and Calculation Software in Thermal Barrier Coatings Based on Machine Vision V1.0
    Yuexing Han, Yuhong Liu
    2020SR0681944
    Reg. Date: 2020-06-28
    Applicant: Shanghai University
  • Shanghai University Kikuchi Pattern Automatic Recognition and Detection Software V1.0
    Yuexing Han, Ruiqi Li
    2020SR0441105
    Reg. Date: 2020-04
    Applicant: Shanghai University
  • Image Segmentation Software Based on Machine Learning V1.0
    Yuexing Han
    2019SR0944666
    Reg. Date: 2019
    Applicant: Shanghai University
    Serial No.: 2019R11L1110807
  • Image Segmentation Software Based on Clustering Method V1.0
    Yuexing Han
    2019SR0944676
    Reg. Date: 2019
    Applicant: Shanghai University
    Serial No.: 2019R11L1110111
Last updated: 2026-10-12
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