[1] shangping zhong, tianshun chen, fengying he, yuzhen niu, fast gaussian kernel learning for classification tasks based on specially structured global optimization, neural networks, vol. 57, pp 51–62, 2014. (sci)
[2] shangping zhong, daya chen, qiaofen xu, tianshun chen, optimizing the gaussian kernel function with the formulated kernel target alignment criterion for two-class pattern classification, pattern recognition, vol. 46, no. 7, pp2045-2054, 2013. (sci)
[3] shangping zhong, jia cunmin,chen kaizhi,dai peng,a novel steganalysis method with deep learning for different texture complexity images,multimedia tools and applications, vol. 78, no. 7, pp8017-8039, 2019. (sci)
[4] shangping zhong, weng wude,chen kaizhi,lai jianhua,deep-learning steganalysis for removing document images on the basis of geometric median pruning, symmetry-basel, vol. 12, no. 9, pp1426-1450, 2020. (sci)
[5] yang yang, zheng xianghan, liu ximeng, zhong shangping, chang victor,cross-domain dynamic anonymous authenticated group key management with symptom-matching for e-health social system, future generation computer systems, vol.84, pp160-176, 2018.(sci)
[6] liu ximeng,deng robert h.,yang yang, iran hieu n., zhong shangping, hybrid privacy-preserving clinical decision support system in fog-cloud computing, future generation computer systems, vol.78, pp825-837, 2018.(sci)
[7] cheng hang,wang jingyue,wang meiqing,zhong shangping,toward privacy-preserving jpeg image retrieval,journal of electronic imaging,vol.26, no.4, 2017. (sci)
[8] chen kaizhi, lin chenjun, zhong shangping, guo longkun, a parallel srm feature extraction algorithm for steganalysis based on gpu architecture, computer science and information systems, vol.12, no.4, pp1345-1359,2015.(sci)
[9] chen kaizhi, zhuang jiahao, zhong shangping, zheng song,optimization method for guillotine packing of rectangular items within an irregular and defective slate, mathematics, vol.8, no.11, 2020.(sci)
[10] lin lihui, chen kaizhi, zhong shangping, enhancing the session security of zen cart based on hmac-sha256, ksii transactions on internet and information systems, vol.11, no.1, pp466-483, 2017. (sci)
[11] 钟尚平, 徐巧芬, 陈羽中, 何凤英, 一种基于lsb序列局部特征的通用隐写检测方法, 电子学报, 第41卷, 第2期, 239- 247页, 2013. (ei)
[12] 钟尚平, 徐巧芬, 郭文忠, 廖彬, 采用hilbert扫描序列短重码统计的盲隐写检测方法, 通信学报, 第34卷, 第1期, 51-60页, 2013. (ei)
[13] 钟尚平,郭文忠,陈羽中,陈国龙,对基于小波对比度和lsb逐层隐写方法的分析,小型微型计算机系统,第31卷, 第7期,1315-1322页, 2010.
[14] 钟尚平,刘志锋,陈群杰, 采用复合整数变换差值扩大法的矢量地图可逆水印算法,计算机辅助设计与图形学报, 第21卷, 第12期, 1839-1849页, 2009. (ei)
[15] shangping zhong, xueqi cheng, tierui chen, data hiding in a kind of pdf texts for secret communication, international journal of network security, vol. 4,no.1, pp.17-26,2007. (ei)
[16] 钟尚平,高庆狮,矢量地图水印归一化相关检测的可行性分析与改进,中国图象图形学报,第11卷, 第3期,401-409页, 2006.
[17] 钟尚平,高庆狮, 一类矢量地图的无损压缩算法, 系统仿真学报,第16卷, 第10期, 2189-2194页, 2004.
[18] 钟尚平,高庆狮, 网络环境下地图的混沌加密实用算法, 计算机辅助设计与图形学报, 第16卷, 第2期, 238-242页, 2004. (ei)
[19] feng-ying he, tian-shun chen, shang-ping zhong, a classifier ensemble algorithm based on improved rsm for high dimensional steganalysis, journal of information hiding and multimedia signal processing, vol. 6, no. 2, pp. 198-210, 2015. (ei)
[20] feng-ying he, tian-shun chen, shang-ping zhong. improved rsm algorithm based on ensemble pruning for high-dimensional steganalysis. international journal of network security, vol. 17, no. 6, pp. 549-556, 2015.