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  • Introduction

  • Research Focus

    [1] Yuecheng Yu, Liming Cai, Anqi Ning,et al.Target Detection Algorithm in Foggy Scenes Based on Dual Subnets[J]. Computers, Materials & Continua 2024, 78(2), 1915-1931. https://doi.org/10.32604/cmc.2024.046125

    [2] 陆永倩,於跃成,生佳根,等.深度融合内容和隐式反馈的跨域推荐算法[J].江苏科技大学学报(自然科学版),2024,38 (01):75-81.DOI:10.20061/j.issn.1673-4807. 2024.01.012.

    [3] 顾宙瑜,於跃成,者甜甜.Rapider-YOLOX：高效的轻量级目标检测网络[J].智能科学与技术学报,2023,5(01):92-103.

    [4] Liming Cai, Yuecheng Yu, Anqi Ning, et al. Target Detection Algorithm for Foggy Scenes Based on Twin Network[C].In Proceedings of 2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2023), Haikou, China, 2023:181-186.

    [5]  Zhouyu Gu, Yuecheng Yu, Anqi Ning, et al.  YOLOX-Lite: an efficient model based on YOLOX for object detection[C]. In Proceedings of International Conference on Optics and Machine Vision (ICOMV 2023),Changsha, China,2023:12634 06.

    [6] Wanye Gu,Yuecheng Yu, Liming Cai. Object detection algorithm based on attention mechanism in foggy weather[C]. In Proceedings of  EIEDP 2023, Nanchang, China,2023.  

    [7] 黄士新,左华煜,李慧,於跃成.融合景点季节演变信息的旅游推荐算法[J].南京理工大学学报,2023,47(05):651-657.DOI:10.14177/j.cnki.32-1397n.2023.47.05.011.

    [8] Li Wang, Yuecheng Yu. Small object detection algorithm for aerial photography based on improved YOLOv5[C]. In Proceedings of 2023 3rd InternationalConference on Electronic Information Engineering and Computer Communication（EIECC 2023）,Wuhan, China,2023:1-6.

    [9] You Yuan,Yuecheng Yu. Low-light Image Object Detection Algorithm based on YOLOX[C]. In Proceedings of 2023 3rd InternationalConference on Electronic Information Engineering and Computer Communication（EIECC 2023）,Wuhan, China,2023:693-698.

    [10] 於跃成,刘畅,汪川,等.融合热特征的机场航站楼热成像显著人体检测模型（英文）[J].Transactions of Nanjing University of Aeronautics and Astronautics,2022, 39(04):434-449.DOI:10.16356/j.1005-1120.2022.04.006.

    [11] Zeqing Zhou,Yuecheng Yu, Zhouyu Gu. Yolov4-Sensitive:Feature Sensitive Multiscale Object Detection Network[C]. In Proceedings of  2022 2nd International Conference on Internet of Things and Machine Learning（IoTML2022）, Haerbin, China, 2022.

    [12] 於跃成,谷雨,左华煜,等.基于用户反馈信息可信传播的社会推荐方法[J].江苏科技大学学报(自然科学版),2021,35(04):58-65.

    [13] Y. C. Yu, D. Y. Jing, et al. Tag Generation Method Based on Topic Information[C]. In the 6th International Symposium on Artificial Intelligence and Robotics(ISAIR2021), Fukuoka, Japan, 2021.  

    [14] Yu YC , Gu Y , Zuo H ,et al.Social recommendation algorithms with user feedback information[J].Concurrency and Computation Practice and Experience, 2020(3).DOI:10.1002/cpe.5934.

    [15]蔡莹,於跃成,谷雨,等.基于动量模型的食品安全事件发现方法[J].江苏大学学报(自然科学版),2019,40(02):184-189.

    [16]Yuecheng Yu, Xiaohua Zou. Evolutionary k-means Based on Constrained Clustering[J]. ICIC Express Letters,2014,Vol.8,Issue 9:2593-2598. 

    [17] 於跃成,生佳根,邹晓华. 基于约束正则化的生成聚类分析[J].系统工程与电子技术, 2014,Vol.36,Issue 4: 57-63. 

    [18] Yu Yuecheng, Sheng Jiagen, Zou Xiaohua. Parameters Optimization Method of Gaussian Mixture Model with Data Evolution[J]. Transactions of Nanjin University of Aeronautics and Astronautics,2014,vol.31, No 4: 394-404. 

    [19] 於跃成, 刘彩生, 生佳根. 分布式约束一致高斯混合模型 [J]. 南京理工大学学报(自然科学版), 2013, 37 (6): 799-806

    [20] 於跃成, 王建东, 郑关胜等. 基于约束信息的并行k-means 算法 [J]. 东南大学学报 (自然科学版), 2011, 41(3): 505-508 

    [21] Yu Y C, Wang J D, Zheng G S et al. Distributed K-means based on soft constraints [J]. Journal of Software Engineering, 2011, (5)4: 116-126 

    [22] 於跃成, 生佳根. 基于混合高斯模型的增量式聚类 [J]. 江苏科技大学学报(自然科学版), 2011, 25(6): 597-601

    [23] Yu Yuecheng , Wang Jiandong, Zheng Guansheng, et al. A modified parallel k-means clustering with improved initial centers[J]. Journal of Computational Information Systems, 2010,6(12):4091-4098. 

    [24] Yuecheng Yu, Jiandong Wang, Guansheng Zheng, Bin Gu. Semi-supervised distributed clustering with Mahalanobis distance metric learning[J]. International Journal of Digital Content Technology and its Applications, 2010,4(9):132-140 

    [25] Yu Yuecheng. An Extended Model of the Cellular Automata[C]. In Proceedings of International Colloquium on Computing, Communication, Control, and Management(CCCM 2009). Sanya, China: IEEE Computer Society, 2009: pp.66-69.                                  

    [26] Yu Yuecheng. A Model for Predicting Flight Delay and Delay Propagation Based on Parallel Cellular Automata[C]. International Colloquium on Computing, Communication, Control, and Management. CCCM 2009, Sanya, China, 2009:70-73.

    [27] Bin Gu, Jian-Dong Wang, Guan-Sheng Zheng, Yue-Cheng Yu. Regularization Path for ν-Support Vector Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 23(5): 800-811,2012.

    [28]Bin Gu, Jian-Dong Wang, Yue-Cheng Yu, Guan-Sheng Zheng, Yu-Fan Huang, and Tao Xu. Accurate on-line ν-support vector learning[J]. Neural Networks, 27(0):51–59, 2012.

    [29] Bin Gu, Jian-Dong Wang, Yue-Cheng Yu, Guan-Sheng Zheng, Li-Na Wang. An Effective Regularization Path for nu-Support Vector Classification[C]. The International Conference on Intelligent Information Technology Application (IITA 2009)）, 2009:90-93.                   

    [30] ZHENG Guansheng, WANG Jiandong, YU Yuecheng, GU Bin. A Survey on Algorithms of Incremental Non-Negative Matrix Factorization[J]. Journal of Computational Information Systems, (6)12, 2010:  3867-3874.


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