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Chao Zhang, Minming Liang, Xueguan Song, Lixue Liu, Hao Wang, Wensheng Li and Maolin Shi, Generative adversarial network for geological prediction based on TBM operational data, Mechanical Systems and Signal Processing, vol. 162, no. 1, pp. 108035, January 2022.
Lixue Liu, Xueguan Song, Chao Zhang*, Dacheng Tao, GAN-MDF: An Enabling Method for Multi-fidelity Data Fusion, IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2022.3142242.
Chao Zhang, Lixue Liu, Hao Wang, Xueguan Song and Dacheng Tao. SCGAN: stacking-based generative adversarial networks for multi-fidelity surrogate modeling, Structural and Multidisciplinary Optimization, DOI: 10.1007/s00158-022-03255-4
Liye Lv, Chaoyong Zong, Chao Zhang and Xueguan Song, Multi-Fidelity Surrogate Model Based on Canonical Correlation Analysis and Least Squares, Journal of Mechanical Design, vol. 143, no. 2, pp. 021705, 2021.
Yueqi Xu, Xueguan Song, Chao Zhang*, Hierarchical Regression Framework for Multi-fidelity Modeling, Knowledge-Based Systems, vol. 212, pp. 106587, 2021.
Chao Zhang, Dacheng Tao, Tao Hu and Bingchen Liu, Generalization Bounds of Multi-task Learning from Perspective of Vector-valued Function Learning, IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 5, pp. 1906 - 1919, 2021.
Xiaonan Lai, Shuo Wang, Zhenggang Guo, Chao Zhang, Wei Sun and Xueguan Song, Designing a shape-performance integrated digital twin based on multiple models and dynamic data: a boom crane example, Journal of Mechanical Design, vol. 143, no. 7, pp: 071703 (14 pages), Jul 2021.
Fengjie Zheng, Chaoyong Zong, Chao Zhang, Xueguan Song, Fuzheng Qu, William Dempster, Dynamic Instability Analysis of a Spring-Loaded Pressure Safety Valve Connected to a Pipe by Using Computational Fluid Dynamics Methods, J. Pressure Vessel Technol., vol. 143, no. 4, pp: 041403 (14 pages), Aug 2021.
Zhenhao Jiang, Tingting Pan, Chao Zhang and Jie Yang, A New Oversampling Method Based on the Classification Contribution Degree, Symmetry, vol. 13, pp. 194, Jan 2021.
Xianjie Gao, Chao Zhang* and Hongwei Zhang, Dimension-free bounds for largest singular values of matrix Gaussian series, Communications in Statistics - Theory and Methods, vol. 50, no. 10, pp. 2419-2428, 2021.
Zhenhao Jiang, Tingting Pan, Chao Zhang and Jie Yang, A New Oversampling Method Based on the Classification Contribution Degree, Symmetry, vol. 13, no. 2, pp. 194, 2021.
Chao Zhang, Xianjie Gao, Min-Hsiu Hsieh, Hanyuan Hang and Dacheng Tao, Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications, IEEE Transactions on Information Theory，vol. 66, no. 2, pp. 1099 - 1117, 2020.
Xue Xu, Kuo Yang, Feilong Zhang, Wenwen Liu, Yinyan Wang, Changying Yue, Junyao Wang, Keke Zhang, Chao Zhang, Goran Nenadic, Dacheng Tao, Xuezhong Zhou, Hongcai Shang and Jianxin Chen, Identification of herbal categories active in pain disorder subtypes by machine learning help reveal novel molecular mechanisms of algesia，Pharmacological Research, vol. 156, 104797, 2020.
Sibo Yang, Chao Zhang*, Yuan Bao, Jie Yang and Wei Wu, Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems, Neural Processing Letters, vol. 52, pp. 153–167, 2020.
Xianjie Gao, Chao Zhang and Hongwei Zhang, A Refined Non-Asymptotic Tail Bound of Sub-Gaussian Matrix, Journal of Mathematical Research with Applications, vol. 40, no. 5, pp. 543-550, 2020.
Xianjie Gao, Maolin Shi, Xueguan Song, Chao Zhang* and Hongwei Zhang. Recurrent neural networks for real-time prediction of TBM operating parameters, Automation in Construction, vol. 98, pp. 225-235, 2019. Feb.
Junhong Zhao, Maolin Shi, Gang Hu, Xueguan Song, Chao Zhang*, Dacheng Tao and Wei Wu, A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data, IEEE Access, vol. 7, pp. 66703-66713, 2019.
Xianjie Gao, Chao Zhang* and Hongwei Zhang. Small-Deviation Inequalities for Sums of Random Matrices, Symmetry, vol. 11, pp. 638, 2019.
Sibo Yang, Chao Zhang, Wei Wu. Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems, IEEE Access, vol. 7, pp. 5085-5094, 2019.
Chun Hua, Feng Li, Chao Zhang, Jie Yang and Wei Wu. A Genetic XK-Means Algorithm with Empty Cluster Reassignment, Symmetry, vol.11, pp. 744, 2019.
Xue Xu; Jianqiang Li; Jinfeng Zou; Xiaowen Feng; Chao Zhang; Ruiqing Zheng; Weixiang Duanmu; Arnab Saha-Mandal; Zhong Ming; Edwin Wang, Association of Germline Variants in Natural Killer Cells With Tumor Immune Microenvironment Subtypes, Tumor-Infiltrating Lymphocytes, Immunotherapy Response, Clinical Outcomes, and Cancer Risk. JAMA Network Open, vol. 2, no. 9, 2019;
Hua Chun, Chao Zhang, Yan Liu, Wei Wu, Mongolian Similar Elements Clustering via Immune Clone Algorithm, Journal of Mathematical Research with Applications, vol. 39, no.6, pp. 745-754, 2019.
Wei Sun, Maolin Shi, Chao Zhang, Junhong Zhao and Xueguan Song. Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data, Automation in Construction, vol. 92, pp. 23-34, 2018.
Yan Liu, Dakun Yang and Chao Zhang. Relaxed conditions for convergence analysis of online back-propagation algorithm with L_2 regularizer for Sigma-Pi-Sigma neural network, Neurocomputing, vol. 272, pp. 163-169, 2018.
Chao Zhang, Lei Du and Dacheng Tao. LSV-Based Tail Inequalities for Sums of Random Matrices, Neural Computation, vol. 29, no. 1, pp. 247-262, 2017.
Xue Xu, Chao Zhang, Pidong Li, Feilong Zhang, Kuo Gao, Jianxin Chen and Hongcai Shang. Drug-symptom networking: Linking drug-likeness screening to drug discovery, Pharmacological Research, vol. 103, pp. 105-113, 2016.
Mingchen Yao, Chao Zhang, Wei Wu, Online Sequential Double Parallel Extreme Learning Machine for Classifications, Journal of Mathematical Research with Applications, vol. 36, no. 5, pp. 621-630, 2016.
Mingchen Yao, Chao Zhang and Wei Wu. Learning Bounds of ERM Principle for Sequences of Time-Dependent Samples, Discrete Dynamics in Nature and Society, vol. 2015, 2015.
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