Hongbin Xu

APTNet: A Condition‐Sensitive Modulation Framework for Surface Pressure Prediction on Supersonic Aircraft

Hongbin Xu, Yin Long, Jianmin Wu

ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models …

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An adaptive high-order singular value decomposition for spatial and temporal monitoring data imputation for tunnel digital twin

Linchao Li, Xiang Lin, Qi Gong, Hongbin Xu et autres

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Multi-view subspace clustering based on multi-order neighbor diffusion

Yin Long, Hongbin Xu, Yang Xiang, Chrisy Xiyu Du et autres

Abstract Multi-view subspace clustering (MVC) intends to separate out samples via integrating the complementary information from diverse views. In MVC, since the structural information in the graph is crucial to the graph learning, most of the existing algorithms construct the superficial graph …

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Pipe Routing Design for Aero-Engine Using Monte Carlo Tree Search Method

Hongbin Xu, Fan Jiang, Qingze Meng, Yu‐Ming Su

Abstract Pipe routing design (PRD) is a complex process that involves a large search space and requires experienced professionals. Despite advancements in aero-engine design, PRD remains a stage that is not completely automated. In this article, we present a new approach to …

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Adaptive Local Maximum-Entropy Surrogate Model and Its Application to Turbine Disk Reliability Analysis

Fan Jiang, Qinghao Yuan, Fulei Jing, Hongbin Xu et autres

The emerging Local Maximum-Entropy (LME) approximation, which combines the advantages of global and local approximations, has an unsolved issue wherein it cannot adaptively change the morphology of the basis function according to the local characteristics of the sample, which greatly limits its …

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A Three-Level Recursive Differential Grouping Method for Large-Scale Continuous Optimization

Hongbin Xu, Fei Li, Hao Shen

Cooperative co-evolution (CC) is widely used to solve large-scale continuous optimization problems, which divides a large-scale problem into several small-scale sub-problems via decomposition methods and then optimizes each sub-problem separately. However, the performance of CC mainly depends on the decomposition methods. A …

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A Topic Domain Identification Model Combining Local and Global Characteristics

Yue Kou, Hongbin Xu, Derong Shen, Tiezheng Nie

Empirical Study on Group Scientific & Technological Innovative Activities of Students

Hongbin Xu

Carrying out the multiform scientific technological innovative activities is the important way of implementing the cultivating aims and cultivating the innovative spirit and ability of students.The development of modern science technology has presented the intergrated feature of multi-accounts,the complex problems can be …

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Research on Management Requirements and Reference Framework for Infomationization of Cement Industry

Hongbin Xu

Aiming at the cement industry,it refines the management requirements and puts forward reference framework.This is the fundamental work for constructing industry version based ERP software.It analyzes the characteristic of the cement industry,builds a reference framework for cement industry informatization.

Optimal Polynomial Complexity Deadlock Avoidance Policies for Manufacturing Systems with Flexible Routings

Keyi Xing, Feng Tian, Hongbin Xu, Baosheng Hu

This paper addresses the deadlock avoidance problems in automated manufacturing systems with flexible routings. A deadlock in the systems is characterized as a saturated perfect resource-transition circuit in the system Petri net models. For a large subclass of automated manufacturing systems with …

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