EN 
王景
助理研究员
williamhill威廉希尔官网
wangjinger@sjtu.edu.cn
教育背景
- 2013年-2018年，浙江大学，博士
- 2009年-2013年，西北工业大学，学士
工作经历
- 2022年-至今，williamhill威廉希尔官网，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
研究方向
- AI for Science：人工智能+流体力学/空气动力学
- AI for Engineering：人工智能+飞行器设计
主要科研项目
- 国家自然基金青年基金
- 国家自然科学基金区域创新发展联合基金
- 上海市面上基金
- 上海市扬帆计划
- 工信部课题（2020-2023），主要参与人
- 商飞-华为合作项目（2021-至今），主要参与人
代表性论文专著
- Jing Wang, Wei Liu, Hairun Xie, Miao Zhang. Advancing buffet onset prediction: a deep learning approach with enhanced interpretability for aerodynamic engineering[J]. Complex & Intelligent Systems, 2025, 11(1): 1-18.
- 吴光辉, 王景, 谢海润等．数据与知识联合赋能的民机智能气动设计[J]．航空学报, 2025. doi: 10.7527/S1000-6893.2024.31485.
- 吴光辉，张淼，王景，谢海润，董大勇，谭兆光，白俊强. 人工智能驱动的现代民机设计. 中国科研信息化蓝皮书，2024.
- 王景, 柳位, 谢海润, 张淼, 马涂亮. 扩散模型驱动的超临界翼型多目标生成式设计[J]. 航空学报, 2025. doi: 10.7527/S1000-6893.2025.31210.
- 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.
- Jian Liu, Jianyu Wu, Hairun Xie, Jing Wang, et al. AFBench: A Large-scale Benchmark for Airfoil Design. NeurIPS, 2024.
- 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.
- 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.
- 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.
- 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）
- 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.
- Pengyu Lai, Jing Wang, Rui Wang, Dewu Yang, Haoqi Fei, Yihe Chen, Hui Xu. Neural downscaling for complex systems: from large-scale to small-scale by neural operator[J]. Engineering Applications of Computational Fluid Mechanics, 2024, 18(1): 2399672.
- 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.
- 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.
- 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.
荣誉信息
- 2023世界人工智能大会SAIL奖
- 2022年获昇腾AI创新大赛全国总决赛应用赛道金奖
- 2022年获昇腾AI创新大赛上海.浙江赛区总决赛金奖
- 中国商飞优秀博士后
荣誉奖励
- 2023世界人工智能大会SAIL奖
- 2022年昇腾AI创新大赛全国总决赛应用赛道金奖
- 2022年昇腾AI创新大赛上海.浙江赛区总决赛金奖
- 2022年软件行业典型示范案例
- 中国商飞优秀博士后