职务:助理研究员
办公电话:
电子邮件:wangjinger@sjtu.edu.cn
办公地址:诸侯快讯导航ok1188诸侯快讯官方
时间 | 任职单位 | 职务 |
---|---|---|
2022年-至今 | 诸侯快讯导航ok1188诸侯快讯官方 | 助理研究员 |
2019年-2022年 |
中国商飞上海飞机设计研究院 |
博士后 |
时间 | 毕业院校 | 学历 |
---|---|---|
2013年-2018年 |
浙江大学 |
博士 |
2009年-2013年 | 西北工业大学 | 本科 |
(1)飞行器气动设计;
(2)人工智能与流体力学、空气动力学的交叉研究。
(1) 国家自然科学基金区域创新发展联合基金,2024-2027,联合申请人。
(2)上海市扬帆计划, 2021-2024,主持。
(3)工信部课题,2020-2023,主要参与人。
(4)商飞-华为合作项目,2021-至今,主要参与人。
(1)Jing Wang, Hairun Xie, Miao Zhang, Hui Xu. Physics-assisted reduced-order modeling for identifying dominant features of transonic buffet[J]. Physics of Fluids, 2023, 35(6): 066124.
(2)Zhiwen Deng, Jing Wang#, Hongsheng Liu, Hairun Xie, BoKai Li, Miao Zhang, Tingmeng Jia, Yi Zhang, Zidong Wang, Bin Dong; Prediction of transonic flow over supercritical airfoils using geometric-encoding and deep-learning strategies. Physics of Fluids, 2023, 35 (7): 075146.
(3)Hairun Xie, Jing Wang*, Miao Zhang. Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils[J]. Expert Systems with Applications, 2023, 233: 121002.
(4)Hairun Xie, Jing Wang*, Miao Zhang. Parametric generative schemes with geometric constraints for encoding and synthesizing airfoils[J]. Engineering Applications of Artificial Intelligence, 2024, 128: 107505.
(5)Jing Wang, Runze Li, Cheng He, Haixin Chen, Ran Cheng, Chen Zhai, and Zhang Miao. An Inverse Design Method for Supercritical Airfoil based on Conditional Generative Models[J]. Chinese Journal of Aeronautics, 2022, 35(3): 62-74.(2022年度航空学报CJA前20篇最具传播力文章,亮点文章)
(6)Jing Wang, Cheng He, Runze Li, Haixin Chen, Chen Zhai, and Miao Zhang. Flow field prediction of supercritical airfoils via variational autoencoder based deep learning framework[J]. Physics of Fluids, 2021, 33(8): 086108.
(7)Tuliang Ma, Hairun Xie, Jing Wang*. Pressure distribution prediction of supercritical airfoils at multiple flight conditions using deep learning approach. Journal of Physics: Conference Series.IOP Publishing, 2022, 2292(1): 012012.
(8)Jing Wang, Zheng Yao, Jianjun Chen, et al. Single/Multi-objective Aerodynamic Shape Optimization by Stackelberg/ Adjoint Method[J]. Engineering Optimization, 2020, 52(5): 753-776.
(9)Jing Wang, Fangfang Xie, Yao Zheng, Jifa Zhang, et al. Virtual Stackelberg game coupled with the adjoint method for aerodynamic shape optimization[J]. Engineering Optimization, 2018, 50(10): 1733-1754.
(10)Jing Wang, Fangfang Xie, Yao Zheng, et al. Parameters Assessment for Virtual Stackelberg Game in Aerodynamic Shape Optimization. Modern Physics Letters B, 2018, 32(12n13).
(1)昇腾AI创新大赛全国总决赛应用赛道金奖,2022年;
(2)昇腾AI创新大赛上海.浙江赛区总决赛金奖,2022年;
(3)2023世界人工智能大会SAIL奖;
(4)中国商飞优秀博士后。