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  主讲本科生课程:计算机导论、程序设计基础、Java EE编程思想、数据分析与可视化、化学信息学




  可解释机器学习,复杂网络分析,图像识别与分析, 服务计算,化学与生物信息学等。
















[ 1 ] TANG Jianxin, ZHANG Ruisheng, WANG Ping, ZHAO Zhili, FAN Li, and LIU Xin, A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks. Knowledge-Based Systems, 2020. 187: p. 12.

[ 2 ]LIU Qidong, ZHANG Ruisheng, HU Rongjing, WANG Guangjing, WANG Zhenghai, and ZHAO Zhili, An improved path-based clustering algorithm. Knowledge-Based Systems, 2019. 163: p. 13.

[ 3 ]LIU Qidong, ZHANG Ruisheng, LIU Xin, LIU Yunyun, ZHAO Zhili, and HU Rongjing, A novel clustering algorithm based on PageRank and minimax similarity. Neural Computing and Applications, 2019. 31(11): p. 11.

[ 4 ]TANG Jianxin, ZHANG Ruisheng, YAO Yabing, YANG Fan, ZHAO Zhili, HU Rongjing, and YUAN Yongna, Identification of top-k influential nodes based on enhanced discrete particle swarm optimization for influence maximization. Physica A: Statistical Mechanics and its Applications, 2019. 513: p. 19.

[ 5 ]LI Huan, ZHANG Ruisheng, ZHAO Zhili, and YUAN Yongna, An Efficient Influence Maximization Algorithm Based on Clique in Social Networks. IEEE Access, 2019. 7: p. 11.

[ 6 ]YUAN Jinliang, ZHANG Ruisheng, TANG Jianxin, HU Rongjing, WANG Zepeng, and LI Huan Efficient and effective influence maximization in large-scale social networks via two frameworks. Physica A: Statistical Mechanics and its Applications 2019. 526.

[ 7 ]TANG Jianxin, ZHANG Ruisheng, YAO Yabing, ZHAO Zhili, CHAI Baoqiang, and LI Huan, An adaptive discrete particle swarm optimization for influence maximization based on network community structure. International Journal of Modern Physics C, 2019. 30(6).

[ 8 ]LIU Xin, ZHANG Ruisheng, and ZHAO Mingqi, A robust authentication scheme with dynamic password for wireless body area networks. Computer Networks, 2019. 161: p. 14.

[ 9 ]MA Jun, ZHANG Ruisheng, HU Rongjing, and MU Yong. Using the Encoder Embedded Framework of Dimensionality Reduction Based on Multiple Drugs Properties for Drug Recommendation. In: Tan Y., Shi Y., Tang Q. (eds) Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science, vol 10942. Springer, Cham.

[ 10 ]LIU Qidong, ZHANG Ruisheng, ZHAO Zhili, WANG Zhenghai, JIAO Mengyao, and WANG Guangjing, Robust MST-Based Clustering Algorithm. Neural computation, 2018. 30(6): p. 23.

[ 11 ]MA Jun, ZHANG Ruisheng, YUAN Yongna, and ZHAO Zhili. (2018) Using Hybrid Similarity-Based Collaborative Filtering Method for Compound Activity Prediction. In: Huang DS., Jo KH., Zhang XL. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science, vol 10955. Springer, Cham.

[ 12 ]YUAN Yongna, ZHANG Zhuangzhuang, MILLS Matthew J. L., HU Rongjing, and ZHANG Ruisheng, Assessing Force Field Potential Energy Function Accuracy via a Multipolar Description of Atomic Electrostatic Interactions in RNA. Journal of Chemical Information and Modeling, 2018. 58: p. 16.

[ 13 ]GUI Chun, ZHANG Ruisheng, ZHAO Zhili, WEI Jiaxuan, and HU Rongjing, LPA-CBD an improved label propagation algorithm based on community belonging degree for community detection. International Journal of Modern Physics C, 2018. 29(02): p. 13.

[ 14 ]GUI Chun, ZHANG Ruisheng, HU Rongjing, HUANG Guoming, and WEI Jiaxuan, Overlapping communities detection based on spectral analysis of line graphs. Physica A: Statistical Mechanics and its Applications, 2018. 498: p. 16.

[ 15 ]LI Mengtian, ZHANG Ruisheng, HU Rongjing, YANG Fan, YAO Yabing, and YUAN Yongna, Identifying and ranking influential spreaders in complex networks by combining a local-degree sum and the clustering coefficient. International Journal of Modern Physics B, 2018. 32(6): p. 14.

[ 16 ]TANG Jianxin, ZHANG Ruisheng, YAO Yabing, ZHAO Zhili, WANG Ping, LI Huan, and YUAN Jinliang, Maximizing the spread of influence via the collective intelligence of discrete bat algorithm. Knowledge-Based Systems, 2018. 160: p. 22.

[ 17 ]YANG Fan, LI Xiangwei, XU Yanqiang, LIU Xinhui, WANG Jundi, ZHANG Yi, ZHANG Ruisheng, and YAO Yabing, Ranking the spreading influence of nodes in complex networks: An extended weighted degree centrality based on a remaining minimum degree decomposition. Physics Letters A, 2018. 382(34): p. 2361-2371.

[ 18 ]YAO Yabing, ZHANG Ruisheng, YANG Fan, TANG Jianxin, YUAN Yongna, and HU Rongjing, Link prediction in complex networks based on the interactions among paths. Physica A: Statistical Mechanics and its Applications, 2018. 510: p. 15.

[ 19 ]LIU Xin and ZHANG Ruisheng, A Robust Authentication Scheme With Continuously Updated Information for Vehicular Sensor Networks. IEEE Access, 2018. 6: p. 14.

[ 20 ]WEI Jiaxuan, ZHANG Ruisheng, YU Zhixuan, HU Rongjing, TANG Jianxin, GUI Chun, and YUAN Yongna, A BPSO-SVM algorithm based on memory renewal and enhanced mutation mechanisms for feature selection. Applied Soft Computing, 2017. 58: p. 17.

[ 21 ]YAO Yabing, ZHANG Ruisheng, YANG Fan, YUAN Yongna, HU Rongjing, and ZHAO Zhili, Link prediction based on local weighted paths for complex networks. International Journal of Modern Physics C, 2017. 28(4): p. 23.

[ 22 ]YANG Fan, ZHANG Ruisheng, YANG Zhao, HU Rongjing, LI Mengtian, YUAN Yongna, and LI Keqin, Identifying the most influential spreaders in complex networks by an Extended Local K-Shell Sum. International Journal of Modern Physics C, 2017. 28(01).

[ 23 ]YAO Yabing, ZHANG Ruisheng, YANG Fan, YUAN Yongna, SUN Qingshuang, QIU Yu, and HU Rongjing, Link prediction via layer relevance of multiplex networks. International Journal of Modern Physics C, 2017. 28(8).

[ 24 ]LIU Xin, ZHANG Ruisheng, and LIU Qidong, A temporal credential-based mutual authentication with multiple-password scheme for wireless sensor networks. PLoS One, 2017. 12(1): p. 26.

[ 25 ]MA Shuangxun and ZHANG Ruisheng. PU-LP: A novel approach for positive and unlabeled learning by label propagation. in Proceedings of the IEEE International Conference on Multimedia and Expo Workshops(ICMEW) 2017. 2017. IEEE.

[ 26 ]ZHANG Ruisheng, LI Juan, LU Jingjing, HU Rongjing, YUAN Yongna, and ZHAO Zhili, Using deep learning for compound selectivity prediction. Current Computer-Aided Drug Design, 2016. 12(1): p. 10.

[ 27 ]ZHAO Zhili, PASCHKE Adrian, and ZHANG Ruisheng, A rule-based agent-oriented approach for supporting weakly-structured scientific workflows. Journal of Web Semantics, 2016. 37-38: p. 7.

[ 28 ]YANG Fan, ZHANG Ruisheng, YAO Yabing, and YUAN Yongna, Locating the propagation source on complex networks with Propagation Centrality algorithm. Knowledge-Based Systems, 2016. 100: p. 112-123.

[ 29 ]YANG Zhao, HU Rongjing, and ZHANG Ruisheng. An improved link prediction algorithm based on common neighbors index with community membership information. 2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS), Beijing, 2016, pp. 90-93.

[ 30 ]HU Yakun, FAN Xiaoliang, ZHANG Ruisheng, and CHEN Wenbo. Context-Aware Web Services Recommendation Based on User Preference Expansion. in 2014 Asia-Pacific Services Computing Conference. 2015. Springer, Cham.

[ 31 ]FAN Xiaoliang, HU Yakun, ZHANG Ruisheng, CHEN Wenbo, and BREZILLON Patrick. Modeling Temporal Effectiveness for Context-Aware Web Services Recommendation. 2015 IEEE International Conference on Web Services, New York, NY, 2015, pp. 225-232.

[ 32 ]LI Yan, DELAMAR Michel, BUSCA Patricia, PRESTAT Guillaume, LE CORRE Laurent, LEGEAI-MALLET Laurence, HU Rong Jing, ZHANG Ruisheng, and BARBAULT Florent, Molecular modeling study of the induced-fit effect on kinase inhibition: The case of fibroblast growth factor receptor 3 (FGFR3). Journal of Computer-Aided Molecular Design, 2015. 29(7): p. 22.

[ 33 ]ZHANG Ruisheng, MA Huiyi, LIU Qidong, and ZHAO Zhili. An improved fast search clustering algorithm based on kernel density. 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), Chengdu, 2015, pp. 689-693.




2.Computer Chemistry and Molecular Design,Higher Education Press,2008










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