2024

• Bo Zhang, Ziang Hu, Pin Wu, Haiwang Huang, Jiansheng Xiang, EPT: A data-driven transformer model for earthquake prediction, Engineering Applications of Artificial Intelligence, Volume 123, Part A,2023,106176, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2023.106176.
• Fengqing Chen, Longjie Weng, Jinhe Wang, Pin Wu, Dianpu Ma, Fei Pan, Peng Ding, An adaptive framework to accelerate optimization of high flame retardant composites using machine learning, Composites Science and Technology, Volume 231, 2023, 109818, ISSN 0266-3538, https://doi.org/10.1016/j.compscitech.2022.109818.

2023

• Pin Wu, Lulu Ji, Wenyan Yuan, Zhitao Liu, Tiantian Tang. A Digital Twin Framework Embedded with POD and Neural Network for Flow Field Monitoring of Push-Plate Kiln. Future Internet 15(2): 51
• Xiaofei Wu, Hisham Abubakar-Waziri, Fangxin Fang, Claire Dilliway, Pin Wu, Jinxi Li, Runming Yao, Pankaj Bhavsar, Prashant Kumar, Christopher C. Pain, Kian Fan Chung; Modeling for understanding of coronavirus disease-2019 (COVID-19) spread and design of an isolation room in a hospital. Physics of Fluids 1 February 2023; 35 (2): 025111. https://doi.org/10.1063/5.0135247

2022

• Navier–stokes Generative Adversarial Network: a physics-informed deep learning model for fluid flow generation. Neural Computing & Application , 2022.3. 一作, 中科院 2区, 影响因子5.606.

2021

• Reduced order model using convolutional auto-encoder with self-attention[J]. Physics of Fluids, 2021, 33(7): 077107, 一作, 中科院 2区, 影响因子3.521.
• Fast data assimilation (FDA): Data assimilation by machine learning for faster optimize model state. Journal of Computational Science. 2021-2, 一作, 中科院 3区, 影响因子3.976.

2020

• Data-driven reduced order model with temporal convolutional neural network[J]. Computer Methods in Applied Mechanics and Engineering, 2020, 360:112766, 一作, 中科院 1区（顶刊）, 影响因子6.756
• Multiple premises entailment recognition based on attention and gate mechanism[J]. Expert Systems with Applications, 2020, 147:113214，一作，中科院2区（顶刊）, 影响因子5.452

2019

• Bigdata logs analysis based on seq2seq networks for cognitive Internet of Things[J]. Future Generation Computer Systems, 2019.01: 477-488, 一作, 中科院 2区（顶刊）, 影响因子7.187.