主持的科研项目：

在研项目：

1. 国家重点研发计划课题：“面向柔性可重构生产的组态工艺智能生成技术”

2. 国家自然科学基金面上项目：“飞机复杂燃油箱高动态惰化流场特性演变机理及高效预测与调控机制”

3. XXX高质量发展专项子课题：“基于知识语言模型的制造工艺自动生成技术”

4. XXX高质量发展专项子课题：“航空专用三维设计工具链体系架构”

5. XXX飞机设计研究所横向项目：“燃油油量测量仿真软件开发”

结题项目：

1. 国家自然科学基金青年项目：“基于显隐融合几何描述的薄壁串油结构优化设计方法研究”

2. XXX单位：“某两型全息虚拟装填训练模拟器”

3. XXX单位：“某型虚拟装填训练系统”

4. XXX单位：“某型沉浸式虚拟装填训练软件系统”

5. XXX飞机设计研究所横向项目：“面向大过载及正反飞的油面动态仿真与分析”

6. XXX飞机设计研究所横向项目：“油箱抑爆系统建模及性能仿真分析”

 

科研获奖：

1. “复杂热流工况下装备承载结构生成式设计技术与应用”，教育部技术发明一等奖，2022年度，第3完成人。

2. “过程监测感知驱动的复杂产品装配维修可视化诱导技术及应用”，山东省技术发明二等奖，2022年度，第2完成人。

3. “产品装配过程智能监测与AR诱导技术创新及应用”，中国商业联合会科技进步二等奖，2021年度，第2完成人。

 

 

 

科研论文：

[16] Youzi Xiao, Shuai Zheng∗, Jiewu Leng, Ruibo Gao, Zihao Fu, Jun Hong. "An assembly process planning pipeline for industrial electronic equipment based on knowledge graph with bidirectional extracted knowledge from historical process documents". To Appear in Journal of Intelligent Manufacturing (2024). (IF=8.3)

[15] Shuai Zheng, Bingzhuo Yu, Yingjie Chen, Songhao Zhang and Jun Hong. "RidgeVPR: A Global Positioning Framework in Sparse Feature Outdoor Environments Using Visual Place Recognition and Ridge Line Feature Matching." IEEE Transactions on Vehicular Technology  (2024). (IF=6.8)

[14] Youzi Xiao, Shuai Zheng∗, Jiancheng Shi, Xiaodong Du, Jun Hong. "Knowledge graph-based manufacturing process planning: A state-of-the-art review". Journal of Manufacturing Systems, 70(2023), 417-435. (IF=12.1)

[13] Shuai Zheng, Lingjie Qiu, Fengxin Lan, TSO-GCN: A Graph Convolutional Network approach for real-time and generalizable truss structural optimization, Applied Soft Computing 134C (2023) 110015.(IF=8.7)

[12] 王月，银兴行，郑帅，刘永旭，王鹏. "基于相似度对比学习的连接器零样本异常检测方法." 仪器仪表学报，2023,44(10): 201-209.

[11] 郑帅, 王子涵, 赵浩然, 杨朋涛, 洪军. "基于差分进化算法的飞机油量传感器布局优化方法." 航空学报, 2022, 43(8): 125809-125809.

[10] Shuai Zheng, Fan Gao, Ziyu Zhang, Honglei Liu, and Baotong Li. "Topology optimization on fuel tank rib structures for fuel sloshing suppression based on hybrid fluid-solid SPH simulation." Thin-Walled Structures 165 (2021): 107938.(IF=6.4)

[9] Shuai Zheng, Yabin Wang, Baotong Li, and Xin Li. "A Hardware-adaptive Deep Feature Matching Pipeline for Real-time 3D Reconstruction." Computer-Aided Design 132 (2021): 102984.(IF=4.3)

[8] Shuai Zheng, Haojie Fan, Ziyu Zhang, Zhiqiang Tian, and Kang Jia. "Accurate and Real-Time Structural Topology Prediction Driven by Deep Learning under Moving Morphable Component-Based Framework." Applied Mathematical Modelling 97 (2021): 522-535.(IF=5)

[7] Shuai Zheng, Zhenzhen He, and Honglei Liu. "Generating three-dimensional structural topologies via a U-Net convolutional neural network." Thin-Walled Structures 159 (2021): 107263.(IF=6.4)

[6] Zhang Chen, Zhiqiang Tian, Yaoyue Zheng, Xiangyu Si, Xulei Qin, Zhong Shi, Shuai Zheng*. "Image-level supervised segmentation for human organs with confidence cues." Physics in Medicine and Biology (2021): 66(6):065018. (IF=3.5)

[5] Shuai Zheng, Wenhao Tang, and Baotong Li. "A new topology optimization framework for stiffness design of beam structures based on the transformable triangular mesh algorithm." Thin-Walled Structures 154 (2020): 106831.(IF=6.4)

[4] Baotong Li, Congjia Huang, Xin Li, Shuai Zheng, and Jun Hong. "Non-iterative structural topology optimization using deep learning." Computer-Aided Design 115 (2019): 172-180.(IF=4.3)

[3] Kang Jia, Junkang Guo, Shuai Zheng, Jun Hong. "A general mathematical model for two-parameter generating machining of involute cylindrical gears". Applied Mathematical Modelling, 75(2019), 37-51. (IF=5)

[2] Baotong Li, Honglei Liu, and Shuai Zheng*. "Multidisciplinary topology optimization for reduction of sloshing in aircraft fuel tanks based on SPH simulation." Structural and Multidisciplinary Optimization 58 (4) (2018): 1719-1736.(IF=3.9)

[1] Shuai Zheng, Jun Hong, Kang Zhang, Baotong Li, and Xin Li. "A multi-frame graph matching algorithm for low-bandwidth RGB-D SLAM." Computer-Aided Design 78 (2016): 107-117.(IF=4.3)

 

 

研究领域：

1. 计算机图形学

1.1 几何数据处理与理解 

 

 

 

 

1.2 VR/AR系统开发

 

 

 

1.3 光滑粒子流体动力学（SPH）

 

1.4 WebGPU+BabylonJS下基于物理的渲染PBR技术（有一定入门门槛，需要对计算机图形学有兴趣、有基础的同学）

 

 

 

 

 

2. 计算机视觉：SLAM算法 

3. 结构优化设计：基于深度神经网络的结构优化设计 

 

 

4. 制造工艺智能设计与优化（工艺知识图谱）

 

 

 

 

 

 

A link to Research Gate.