[2]Jiang Zhongyi*, Hu Qiying. The complexity results of the sparse optimization problems and reverse convex optimization problems. Optimization Letters (2020) 14:2149–2160 (SCI检索) [3]Jiang Zhongyi, Hu Qiying, Zhen Xiaojin*.Optimality condition and complexity of order-value optimization problems and low order-value optimization problems. Journal of Global Optimization, (2017).69(2), 1-13.(SCI检索) [4] Zhongyi Jiang, Fangfang Chen, Xiandong Zhang*. Single-machine scheduling with times-based and job-dependent learning effect. Journal of the Operational Research Society, (2017)68, 809-815. (SCI检索) [5] Jiang Zhongyi*, Chen Fangfang, Kang huiyan Single-machine scheduling problem with actual time-dependent and job-dependent learning effect, European Journal of Operational Research, (2013) 227 76–80(SCI检索) [6] Jiang Zhongyi*, Chen Fangfang, Wu Chunqing, The strong NP-completeness of 3-PARTITION problem with
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[7] Zhongyi Jiang(#)(*), Fangfang Chen, Chunqing Wu. (2012). Minimizing the maximum lateness in a single-machine scheduling problem with the normal time-dependent and job-dependent learning effect. Applied Mathematics and Computation, 218, 9438–9441 (SCI检索) [8] Zheng Xiaojin , Jiang Zhongyi* . Tighter quadratically constrained convex reformulations for semi-continuous quadratic programming. Journal of Industrial and Management Optimization, 2017, 13(5). (SCI检索) [9] Pan X, Jiang Z, Bi H, et al. Brain Function Network Analysis of Children with Attention-Deficit/Hyperactivity Disorder Based on Adaptive Sparse Representation Method[J]. Journal of Medical Imaging and Health Informatics, 2019. [10]Pan X., Jiang Z., Wang S., Zou L. (2019) Brain Network Analysis Based on Resting State Functional Magnetic Resonance Image. In: Wang K., Wang Y., Strandhagen J., Yu T. (eds) Advanced Manufacturing and Automation VIII. IWAMA 2018. Lecture Notes in Electrical Engineering, vol 484. Springer, Singapore. https://doi.org/10.1007/978-981-13-2375-1_23 [11]Chen, Fang-Fang(#)(*); Jiang, Xing-Fang;Jiang, Zhong-Yi .The research of recognition on oceanic internal waves based on gray gradient co-occurrence matrix and BP neural network.2011 Symposium on Photonics and Optoelectronics, SOPO 2011, [12]Chen, Fang-Fang(#)(*); Jiang, Xing-Fang;Jiang, Zhong-Yi. The application of improved Canny algorithm in internal waves' parameters from MODIS remote sensing images. International Symposium on Photonics and Optoelectronics, SOPO 2010 [13]Ling Zou, Yi Xu, Zhongyi Jiang, Zhuqing Jiao, Changjie Pan and Renlai Zhou. Functional Connectivity Analysis of Cognitive Reappraisal Using Sparse Spectral Clustering Method, Proceedings of the Fifth International Conference on Cognitive Neurodynamics - 2015, Advances in Cognitive Neurodynamics (V),DOI 10.1007/978-981-10-0207-6_40,Print ISBN 978-981-10-0205-2, Online ISBN 978-981-10-0207-6 [14]吴帆, 姜忠义, 毕卉, et al. 基于稀疏偏最小二乘的麻醉意识状态功能连接研究[J]. 生物医学工程学杂志, 2020, v.37(03):61-68. [15]姜忠义, 陈芳芳. 单纯形法求解目标规划问题教学中的一个注记[J]. 高师理科学刊, 2014(5):31-33. [16]姜忠义, 陈芳芳. 网络选址的绝对重心问题和赋权绝对重心(p=1)问题的一种新方法证明[J]. 常州大学学报(自然科学版), 2009, 21(01):60-61. |
1.2014.01 - 2017.12, , 概率约束混合整数规划理论和方法研究, 国家自然科学基金面上项目. 参与 2. 常州市软课题:大数据环境下智慧城市管理问题研究,CR20160047, 2016.1-2017.6,主持 3. 常州市软课题:高层次人才激励和评价指标体系研究,CR20149012,2014.1-2015.1,主持 4. 江苏省属高校自然项目:江苏高校科技成果转化及其对经济增长效应评价研究,08KJD630001,2009.1-2011.6, 参与 5. 常州市软课题:常州专利创造的效率评价与激励机制研究,CR20120040,2012.6 -2013.12,参与 6. 常州市软课题: 常州市专利状况及与周边城市比较研究, CR20100013, 2010.1- 2011.1, 参与 7. 常州市软课题:常州市企业的科技成果转化测度与评价研究,CR2008040, 2008.1- 2009.1,参与 |