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论文成果


日期:2017-01-11   录入:admin

SCI论文:

[1] Yuting Zhou, Yongquan Jiang*, Yan Yang. AGAT-PPIS: a novel protein–protein interaction site predictor based on augmented graph attention network with initial residual and identity mapping[J]. Briefings in Bioinformatics, 2023: bbad122.

[2] Xiaohui Lin, Yongquan Jiang*, Yan Yang. Molecular distance matrix prediction based on graph convolutional networks[J]. Journal of Molecular Structure,2022(1257):132540.

[3] Zhang Wendong, Zhang Fan, Chen Wei, Jiang Yongquan*, Song Dongli. Fault State Recognition of Rolling Bearing Based Fully Convolutional Network [J]. COMPUTING IN SCIENCE & ENGINEERING,2019, 21(5): 55-63. (SCI检索号:000481957300007)

[4] Guo Chao, Yang Yan, Jiang Yongquan, Li Tianrui. Condition Analysis of a High-Speed Train Based on Similarity Ratio and MDBN [J]. COMPUTING IN SCIENCE & ENGINEERING, 2020, 22(1): 64-76. (SCI检索号:000506612800007)

[5] Quan Wei, Jiang Yongquan*, Zhang Jianjun, Chen Jim X. Robust object tracking with active context learning [J]. VISUAL COMPUTER, 2015, 31(10): 1307-1318. (SCI检索号:000360759800002)

[6] Sun Hao, Chen Jim X, Wechsler Harry, Jiang Yongquan. A New Segmentation Method for Broadcast Sports Video [C] // IEEE 17th International Conference on Computational Science and Engineering (CSE), Chengdu, China, Dec 2014, pp. 1789-1793. (SCI检索号:000380512100293)

[7] Yongquan Jiang, Li Chen, Qishu Chen, Qiang Peng, and Jim X. Chen. Computing Discrete Minimal Surfaces Using a Nonlinear Spring Model [J]. Computing in Science and Engineering, 2010, 12(6):74-79. (SCI检索号:000283925600011)


EI论文:

[1] Xueying Peng,Yan Yang,Yongquan Jiang,Yiling Zhang,Yingjun Zhang. Application of Graph Convolutional Network to Unknown Compound Faults Diagnosis, 14th International FLINS Conference (FLINS 2020), pp. 677-684.

[2] Yingjun Zhang, Yongquan Jiang*, Yan Yang, Yuxiao Gou, Weihua Zhang. Unknown Compound Faults Diagnosis of High Speed Train Based on Capsule Network [C]. //Proceedings of IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, ISKE, Da-lian, China, 2019, 576-583.(EI检索号:20203909249603)

[3] Rao Qi, Yang Yan, Jiang Yongquan. Condition recognition of high-speed train bogie based on multi-view kernel FCM [J]. Big Data Mining and Analytics, 2019, 2(1): 1-11. EI检索号:20205109633361

[4] Quan Wei, Chen Jinxiong, Jiang Yongquan, Yu Nanyang, Xing Qi. Hierarchical detection based location for anterior cruciate ligament of human's knee [J]. 计算机辅助设计与图形学报, 2013, 25(12): 1862-1867. (EI检索号:20140217179634)

[5] Quan Wei, Chen Jinxiong, Jiang Yongquan, Yu Nanyang. Real-time object tracking based on Hough ferns [J]. 西南交通大学学报, 2014, 49(3): 477-484. (EI检索号:20142817924648)

[6] Yang Yan, Jin Fan, Jiang Yongquan. Ant-Based Document Clustering and Visualization[C]// Second IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI’05), Beijing, China, Sept. 2005, pp.180-187. (EI检索号:20132616443149)

[7] 江永全, 彭强, 陈锦雄. 未标定图像序列的隐式曲面重建方法, 西南交通大学学报, 2009, 44 ( 5 ): 677-681. (EI检索号: 20095312588599)

[8] JIANG Yongquan, Jim X. Chen, PENG Qiang, Harry Wechsler, YANG Wenzhen. Geometric Transformation of the RBF Implicit Surface [C]// ACM SIGGRAPH Sponsored 9th International Conference on VRCAI. 2010, pp.277-284. (EI检索号:20110813693982)


其他中文论文:

[1] 左厚辰, 江永全*, 杨燕. 基于机器学习的铝合金性质预测[J]. 中国材料进展. (已录用)

[2] 苟玉晓, 江永全*, 杨燕, 周冠禄, 林凯. 基于全卷积神经网络的公交专用道识别[J]. 计算机应用研究, 2020, 37(S1):406-407+405.

[3]周冠禄, 江永全*, 陈锦雄, 梅桂明. 基于卷积神经网络的故障诊断模型振动信号处理方法比较[J]. 中国科技论文, 2020, 15(07):729-734.

[4]张应军,江永全*,杨燕,张卫华,陈锦雄.基于深度卷积神经网络的未知复合故障诊断[J].中国科技论文, 2019, 14(02): 204-209.

[5]陈伟,陈锦雄, 江永全*,宋冬利,张闻东.基于RS-LSTM的滚动轴承故障识别[J].中国科技论文, 2018, 13(10):1134-1141.

[6]郭超,杨燕,江永全,宋祎. 基于多视图分类集成的高铁工况识别[J].山东大学学报(工学版), 2017, 47(01): 7-14.

[7]宋祎,杨燕,金炜东,江永全. 基于特征融合的高速列车振动信号特征分析[C]. 中国自动化学会控制理论专业委员会、中国系统工程学会.第35届中国控制会议论文集(C).中国自动化学会控制理论专业委员会、中国系统工程学会:中国自动化学会控制理论专业委员会,2016:1594-1599.

[8]唐晴,何润,江永全,李柯. 高速列车驾驶台多功能显示器虚拟仿真[J].铁路计算机应用,2013,22(05):15-18.

[9] 江永全. 径向基函数隐式曲面的研究及应用[D]. 西南交通大学, 2011.

[10]鲁一杰,赵攀,彭强,江永全. 基于DSP的视频车辆实时检测系统的实现[J].计算机应用研究,2009,26(02):757-759+765.

[11]江永全,戴培东, Jim X.Chen, 彭强, 张天宇. 镫骨肌声反射的建模与仿真初探[C]. 中国科学技术协会、河南省人民政府.第十届中国科协年会论文集(三).中国科学技术协会、河南省人民政府:中国科学技术协会学会学术部, 2008: 1231 - 1234.

[12]江永全,杨燕,许翔燕.一种基于交集的聚类组合算法[J].计算机工程与应用,2007(02):177 - 179.

[13]江永全. Web文档聚类系统的设计与实现[D].西南交通大学,2006.




专利

[1] 江永全, 张卫华, 权伟, 陈锦雄, 彭强, 杨燕.  基于主动光源的车辆控制系统、自动行驶车辆及系统. 2015/3/24,中国,国家知识产权局,201510127455.4,已受理

[2] 江永全, 张卫华, 陈锦雄, 彭强, 权伟.  一种基于编码图形的车辆定位方法.  2014/12/29,中国, 国家知识产权局, 201410836629.X,已受理

[3] 权伟, 陈锦雄, 张卫华, 江永全, 何武.  基于多细胞块状态融合的对象跟踪方法. 2014/11/11,中国,国家知识产权局,2014106331953,已授权

[4] 权伟, 张卫华, 陈锦雄, 林国松, 何武, 江永全. 基于目标引导显著性检测的对象跟踪方法. 2015/01/22, 中国,国家知识产权局,201510031269.0. 已授权.

[5] 权伟, 李天瑞,赵丽平,陈锦雄,江永全. 一种基于像素多编码表匹配的对象跟踪方法. 2016/03/14, 中国,国家知识产权局,201610141645.6. 已受理.


[6] 权伟, 刘志刚, 陈锦雄, 江永全, 于小娟. 一种基于蒙特卡洛树搜索的对象跟踪方法. 2016/07/11, 中国,国家知识产权局,201610537417.0. 已受理.


[7] 江永全,林小惠,杨燕. 一种基于图卷积网络的分子结构预测方法. 中国, 国家知识产权局, CN202110637452.0, 已授权, 授权日期:2022-4-22.

软件著作权

[1] 江永全.  道路标线自动识别软件.  证书号:软著登字第5402068号.  登记号:2020SR0523372



 
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