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2020 – today
- 2024
[j30]Yabing Yao, Yangyang He, Zhentian Huang, Zhipeng Xu, Fan Yang, Jianxin Tang, Kai Gao:
Deep non-negative matrix factorization with edge generator for link prediction in complex networks. Appl. Intell. 54(11-12): 592-613 (2024)- [j29]Yuhong Du, Yabing Yao, Jianxin Tang, Zhili Zhao, Zhuoyue Gou:
Drug-target interactions prediction via graph isomorphic network and cyclic training method. Expert Syst. Appl. 249: 123730 (2024) - [j28]Jianxin Tang, Jitao Qu, Shihui Song, Zhili Zhao, Qian Du:
GCNT: Identify influential seed set effectively in social networks by integrating graph convolutional networks with graph transformers. J. King Saud Univ. Comput. Inf. Sci. 36(8): 102183 (2024) - [j27]Jianxin Tang, Shihui Song, Hongyu Zhu, Qian Du, Jitao Qu:
Sequential seeding policy on social influence maximization: a Q-learning-driven discrete differential evolution optimization. J. Supercomput. 80(3): 3334-3359 (2024) - [j26]Tongfeng Li, Ruisheng Zhang, Yabing Yao, Yunwu Liu, Jun Ma, Jianxin Tang:
Graph regularized autoencoding-inspired non-negative matrix factorization for link prediction in complex networks using clustering information and biased random walk. J. Supercomput. 80(10): 14433-14469 (2024) - [j25]Jianxin Tang, Hongyu Zhu, Lihong Han, Shihui Song:
Identifying top-k influential nodes in social networks: a discrete hybrid optimizer by integrating butterfly optimization algorithm with differential evolution. J. Supercomput. 80(13): 19624-19668 (2024) - 2023
- [j24]Huan Liu
, Fuqing Zhao, Ling Wang, Jie Cao, Jianxin Tang, Jonrinaldi:
An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time. Appl. Intell. 53(5): 5160-5178 (2023) - [j23]Tianpeng Xu, Fuqing Zhao, Jianxin Tang, Songlin Du, Jonrinaldi:
A knowledge-driven monarch butterfly optimization algorithm with self-learning mechanism. Appl. Intell. 53(10): 12077-12097 (2023) - [j22]Jianxin Tang, Shihui Song, Jimao Lan, Li Zhang, Fuqing Zhao:
Steering the spread of influence adaptively in social networks via a discrete scheduled particle swarm optimization. Appl. Intell. 53(21): 25070-25091 (2023) - [j21]Jianxin Tang, Hongyu Zhu, Jimao Lan, Shihui Song, Jitao Qu, Qian Du:
Identifying influential nodes for influence maximization problem in social networks using an improved discrete particle swarm optimization. Soc. Netw. Anal. Min. 13(1): 94 (2023) - [j20]Jianxin Tang, Hongyu Zhu, Jimao Lan, Li Zhang, Shihui Song:
Maximizing the Influence Spread in Social Networks: A Learning-Automata-Driven Discrete Butterfly Optimization Algorithm. Symmetry 15(1): 117 (2023) - [c9]Jianxin Tang, Li Zhang, Pengli Lu, Jimao Lan:
Probing the influence maximization-cost minimization problem in social networks by using a multi-objective discrete differential evolution optimization. CNIOT 2023: 600-606 - 2022
- [j19]Fuqing Zhao, Xiaotong Hu, Ling Wang, Jinlong Zhao, Jianxin Tang, Jonrinaldi:
A reinforcement learning brain storm optimization algorithm (BSO) with learning mechanism. Knowl. Based Syst. 235: 107645 (2022) - [j18]Fuqing Zhao, Haizhu Bao, Ling Wang, Jie Cao, Jianxin Tang, Jonrinaldi:
A multipopulation cooperative coevolutionary whale optimization algorithm with a two-stage orthogonal learning mechanism. Knowl. Based Syst. 246: 108664 (2022) - 2021
- [j17]Lihong Han, Qingguo Zhou, Jianxin Tang, Xuhui Yang, Hengjun Huang:
Identifying Top-k Influential Nodes Based on Discrete Particle Swarm Optimization With Local Neighborhood Degree Centrality. IEEE Access 9: 21345-21356 (2021) - [j16]Fuqing Zhao, Jinlong Zhao, Ling Wang, Jianxin Tang:
An optimal block knowledge driven backtracking search algorithm for distributed assembly No-wait flow shop scheduling problem. Appl. Soft Comput. 112: 107750 (2021) - [j15]Liqian Zhou, Qi Duan, Xiongfei Tian, He Xu, Jianxin Tang, Lihong Peng:
LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification. BMC Bioinform. 22(1): 568 (2021) - [j14]Fuqing Zhao, Lixin Zhang, Jie Cao, Jianxin Tang:
A cooperative water wave optimization algorithm with reinforcement learning for the distributed assembly no-idle flowshop scheduling problem. Comput. Ind. Eng. 153: 107082 (2021) - [j13]Fuqing Zhao, Shilu Di, Jie Cao, Jianxin Tang, Jonrinaldi:
A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination Optimization Problems. Complex Syst. Model. Simul. 1(2): 91-108 (2021) - [j12]Fuqing Zhao, Jinlong Zhao, Ling Wang, Jie Cao, Jianxin Tang:
A hierarchical knowledge guided backtracking search algorithm with self-learning strategy. Eng. Appl. Artif. Intell. 102: 104268 (2021) - [j11]Fuqing Zhao, Ruiqing Ding, Ling Wang, Jie Cao, Jianxin Tang:
A hierarchical guidance strategy assisted fruit fly optimization algorithm with cooperative learning mechanism. Expert Syst. Appl. 183: 115342 (2021) - [j10]Lihong Han, Kuan-Ching Li, Arcangelo Castiglione, Jianxin Tang, Hengjun Huang, Qingguo Zhou:
A clique-based discrete bat algorithm for influence maximization in identifying top-k influential nodes of social networks. Soft Comput. 25(13): 8223-8240 (2021) - [c8]Fuqing Zhao, Songlin Du, Jianxin Tang, Yi Zhang, Weimin Ma:
An Algorithm Based on Monarch Butterfly Optimization with Learning Mechanism and Topological Structure. CSCWD 2021: 85-89 - [c7]Fuqing Zhao, Ru Ma, Jianxin Tang, Yi Zhang, Weimin Ma:
A Novel Surrogate-guided Jaya Algorithm for the Continuous Numerical Optimization Problems. CSCWD 2021: 96-101 - [c6]Fuqing Zhao, Ruiqing Ding, Jianxin Tang, Huan Liu:
A Novel Fruit Fly Optimization Algorithm with Vision Scanning Search and Extensive Learning Mechanism. CSCWD 2021: 733-738 - 2020
- [j9]Jianxin Tang, Ruisheng Zhang, Ping Wang, Zhili Zhao, Li Fan, Xin Liu:
A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks. Knowl. Based Syst. 187 (2020)
2010 – 2019
- 2018
- [j8]Jianxin Tang, Ruisheng Zhang, Yabing Yao, Zhili Zhao, Ping Wang, Huan Li, Jinliang Yuan:
Maximizing the spread of influence via the collective intelligence of discrete bat algorithm. Knowl. Based Syst. 160: 88-103 (2018) - 2017
- [j7]Jiaxuan Wei, Ruisheng Zhang, Zhixuan Yu, Rongjing Hu, Jianxin Tang, Chun Gui, Yongna Yuan:
A BPSO-SVM algorithm based on memory renewal and enhanced mutation mechanisms for feature selection. Appl. Soft Comput. 58: 176-192 (2017) - 2014
- [j6]Fuqing Zhao, Jianxin Tang, Junbiao Wang, Jonrinaldi:
An improved particle swarm optimization with decline disturbance index (DDPSO) for multi-objective job-shop scheduling problem. Comput. Oper. Res. 45: 38-50 (2014) - [j5]Fuqing Zhao, Jianxin Tang, Junbiao Wang, Jonrinaldi:
An improved particle swarm optimisation with a linearly decreasing disturbance term for flow shop scheduling with limited buffers. Int. J. Comput. Integr. Manuf. 27(5): 488-499 (2014) - 2013
- [c5]Ming Ke, Xin Wang, Jianxin Tang, Xuhui Chen:
A Space-Time with Weight Algorithm for RFID Data Interpolation. GreenCom/iThings/CPScom 2013: 1158-1161 - 2012
- [j4]Fuqing Zhao, Jianxin Tang, Yahong Yang:
A new Approach based on Ant Colony Optimization (ACO) to Determine the Supply Chain (SC) Design for a Product Mix. J. Comput. 7(3): 736-742 (2012) - 2011
- [j3]Fuqing Zhao, Jianxin Tang, Jizhe Wang, Chunmiao Wei:
An Improved PSO Algorithm with Decline Disturbance Index. J. Comput. 6(4): 691-697 (2011) - [j2]Fuqing Zhao, Chunmiao Wei, Jizhe Wang, Jianxin Tang:
An Automated X-corner Detection Algorithm(AXDA). J. Softw. 6(5): 791-797 (2011) - [j1]Fuqing Zhao, Jizhe Wang, Jianxin Tang:
Research on Dynamic Rescheduling Program Base on Improved Contract Net Protocol. J. Softw. 6(5): 798-805 (2011) - [c4]Jiangtao Cui, Jianxin Tang, Lian Jiang:
Efficient Multi-resolution Histogram Matching for Bag-of-Features. ICIG 2011: 406-411
2000 – 2009
- 2009
- [c3]Wen Li, Jiandi He, Pei Jiang, Xiaoxi Zeng, Jianxin Tang:
The Design of a High Efficient DNA In-Situ Synthesis Apparatus Based on the Principle of Typography Technique. BMEI 2009: 1-5 - 2005
- [c2]Jianxin Tang:
Parallel Processing for Power System Generation Scheduling with Artificial Neural Networks for Load Forecasting. PDPTA 2005: 678-684
1980 – 1989
- 1989
- [c1]Jianxin Tang, Peter B. Luh:
The mixed coordination method and its application to the hydroelectric scheduling problems. SMC 1989: 1173-1178
Coauthor Index
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