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- [2] Xu Xue, 张超, Li PiDong, Zhang FeiLong, Gao Kuo, Chen JianXin, Shang HongCai.Drug-symptom networking: Linking drug-likeness screening to drug discovery[J],PHARMACOLOGICAL RESEARCH,2022,103:105-113
- [3] 孙伟, Shi, Maolin, 张超, Zhao, Junhong, 宋学官.Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data[J],AUTOMATION IN CONSTRUCTION,2022,92:23-34
- [4] Zheng, Fengjie, 宗超勇, 张超, 宋学官, 屈福政, Dempster, William.Dynamic Instability Analysis of a Spring-Loaded Pressure Safety Valve Connected to a Pipe by Using Computational Fluid Dynamics Methods[J],JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME,2022,143(4)
- [5] 高先杰, 张超, 张宏伟.Dimension-free bounds for largest singular values of matrix Gaussian series[J],COMMUNICATIONS IN STATISTICS THEORY AND METHODS,2022
- [6] 熊焱, 吴微, 张超, 亢喜岱.基于灰色关联分析的高阶神经网络剪枝算法[J],大连理工大学学报,2022,3:463-468
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- [8] Lai, Xiaonan, 王硕, 郭正刚, 张超, 孙伟, 宋学官.Designing a Shape-Performance Integrated Digital Twin Based on Multiple Models and Dynamic Data: A Boom Crane Example[J],JOURNAL OF MECHANICAL DESIGN,2022,143(7)
- [9] 张超, Tao, Dacheng, 胡涛, Liu, Bingchen.Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning[J],IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2022,32(5):1906-1919
- [10] 张超, 李文胜, Liang, Minming, 宋学官, Liu, Lixue, 王浩, Shi, Maolin.Generative adversarial network for geological prediction based on TBM operational data[J],MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2022,162
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- [13] Xiong, Yan, 吴微, Kang, Xidai, 张超.Training pi-sigma network by online gradient algorithm with penalty for small weight update[J],NEURAL COMPUTATION,2022,19(12):3356-3368
- [14] Zhao, Junhong, Shi, Maolin, Hu, Gang, 宋学官, 张超, Tao, Dacheng, 吴微.A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data[J],IEEE Access,2022,7:66703-66713
- [15] 张超, 孙清超, 孙伟, 穆晓凯, 王运龙.A construction method of digital twin model for contact characteristics of assembly interface[J],INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY,2022,113(9-10):2685-2699
- [16] Jiang, Zhenhao, Pan, Tingting, 张超, 杨洁.A New Oversampling Method Based on the Classification Contribution Degree[J],SYMMETRY-BASEL,2022,13(2)
- [17] 张超, 杨洁, 吴微.Binary Higher Order Neural Networks for Realizing Boolean Functions[J],IEEE TRANSACTIONS ON NEURAL NETWORKS,2022,22(5):701-713
- [18] Yang, Sibo, 张超, Bao, Yuan, 杨洁, 吴微.Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems[J],NEURAL PROCESSING LETTERS,2022,52(1,SI):153-167
- [19] Yang, Sibo, 张超, 吴微.Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems[J],IEEE Access,2022,7:5085-5094
- [20] 张超, 吴微, Xiong, Yan.Convergence analysis of batch gradient algorithm for three classes of sigma-pi neural networks[J],NEURAL PROCESSING LETTERS,2022,26(3):177-189