张炼
职务/职称
研究科学家
教育背景
香港科技大学 博士
浙江大学 学士
研究领域
科学与工程计算、深度学习、流固耦合、计算机视觉
电子邮件
zhanglian@sribd.cn
个人介绍
张炼博士于2015年在浙江大学数学系获得学士学位，2019年在香港科技大学数学系获得博士学位，2019年8月至2020年8月在美国宾州州立大学数学系从事博士后研究工作，随后在应超智能计算有限公司工作。于2022年12月加入深圳市大数据研究院。张炼博士的主要研究兴趣包括科学与工程计算和深度学习，特别是流固耦合和计算机视觉的算法研究及其在工业界的应用。
学术著作
[1].Juncai He, Jinchao Xu, Lian Zhang, Jianqing Zhu. An Interpretive Constrained Linear Model for ResNet and MgNet, Neural Networks, 162, 384-392 2023.
[2]. Jianqing Zhu, Juncai He, Lian Zhang, Jinchao Xu. FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting, Journal of Computational Sciences, 102005,2023.
[3]. Xiaofeng Xu, Lian Zhang, Yin Shi, Long-Qing Chen, Jinchao Xu. Integral Boundary Conditions in Phase Field Models, Computer and Mathematics with Application, 135, 1–5, 2023.
[4]. Mingchao Cai, Mo Mu, Lian Zhang. Decoupling Techniques for Coupled PDE Models in Fluid Dynamics, Book chapter in The Essence of Large-Eddy Simulations,
10.5772/intechopen.105997, 2022.
[5].Jianhong Chen, Wenrui Hao, Pengtao Sun and Lian Zhang. Predict Blood Pressure by Photoplethysmogram with the Fluid-Structure Interaction Modeling, Communications in Computational Physics 31(4), 1114-1133, 2022.
[6].Wenrui Hao , Pengtao Sun, Jinchao Xu and Lian Zhang. An efficient computational approach for solving the fluid-structure interaction problem with an application in aneurysm, Journal of Computational Physics 433, 110181, 2021.
[7]. Lian Zhang and Mo Mu, Decoupling PDE Computation with Intrinsic Robin Interface Condition, Electronic Research Archive 29(2), 2007-2028, 2021.
[8].Juncai He, Xiaodong Jia, Jinchao Xu, Lian Zhang, and Liang Zhao. Make ` 1 Regularization Effective in Training Sparse CNN, Computational Optimization and Applications 77, 163-182,2020.
[9].Lian Zhang, Mingchao Cai and Mo Mu. A multirate approach for fluid-structure interaction
computation with decoupled methods, Communications in Computational Physics 27,
1014-1031, 2020.
