A two-level parallelization method for distributed hydrological models. - Junzhi Liu; A-Xing Zhu; Cheng-Zhi Qin 001; Hui Wu; Jingchao Jiang (Environ. Model. Softw., 2016)

Investigation of printable threshold overhang angle in extrusion-based additive manufacturing for reducing support waste. - Jingchao Jiang; Jonathan Stringer; Xun Xu 001; Ray Y. Zhong (Int. J. Comput. Integr. Manuf., 2018)

A proactive task dispatching method based on future bottleneck prediction for the smart factory. - Binbin Huang; Wenbo Wang 012; Shan Ren; Ray Y. Zhong; Jingchao Jiang (Int. J. Comput. Integr. Manuf., 2019)

Optimization of process planning for reducing material waste in extrusion based additive manufacturing. - Jingchao Jiang; Xun Xu 001; Jonathan Stringer (Robotics Comput. Integr. Manuf., 2019)

Automatic Estimation of Urban Waterlogging Depths from Video Images Based on Ubiquitous Reference Objects. - Jingchao Jiang; Junzhi Liu; Changxiu Cheng; Jingzhou Huang; Anke Xue (Remote. Sens., 2019)

Obtaining Urban Waterlogging Depths from Video Images Using Synthetic Image Data. - Jingchao Jiang; Cheng-Zhi Qin 001; Juan Yu; Changxiu Cheng; Junzhi Liu; Jingzhou Huang (Remote. Sens., 2020)

A review of multiple degrees of freedom for additive manufacturing machines. - Jingchao Jiang; Stephen T. Newman; Ray Y. Zhong (Int. J. Comput. Integr. Manuf., 2021)

Terms Development of Additive Manufacturing. - Tariku Sinshaw Tamir; Gang Xiong 001; Jingchao Jiang; Zhen Shen; Ehtisham Lodhi; Hub Ali; Li Wan (DTPI, 2022)

Asymmetric Two-Stage CycleGAN for Generation of Faces With Shadow Puppet Style. - Jingzhou Huang; Xiaofang Huang; Taixiang Zhang; Jingchao Jiang; Houpan Zhou (IEEE Access, 2022)

Machine learning integrated design for additive manufacturing. - Jingchao Jiang; Yi Xiong 004; Zhiyuan Zhang 004; David W. Rosen (J. Intell. Manuf., 2022)

A survey of machine learning in additive manufacturing technologies. - Jingchao Jiang (Int. J. Comput. Integr. Manuf., 2023)

Special issue on machine learning in additive manufacturing. - Jingchao Jiang; Bin Zou; Jikai Liu; David Rosen 001 (Int. J. Comput. Integr. Manuf., 2023)

Machine-learning-based monitoring and optimization of processing parameters in 3D printing. - Tariku Sinshaw Tamir; Gang Xiong 001; Qihang Fang; Yong Yang; Zhen Shen; MengChu Zhou; Jingchao Jiang (Int. J. Comput. Integr. Manuf., 2023)

Topology Optimization of Self-supporting Structures for Additive Manufacturing via Implicit B-spline Representations. - Nan Zheng; Xiaoya Zhai; Jingchao Jiang; Falai Chen (Comput. Aided Des., 2024)

Identification of pedestrian submerged parts in urban flooding based on images and deep learning. - Jingchao Jiang; Xinle Feng; Jingzhou Huang; Jiaqi Chen; Min Liu; Changxiu Cheng; Junzhi Liu; Anke Xue (Environ. Model. Softw., 2025)

Data-Driven and Physics-Assisted Machine Learning Approach for Warpage Classification and Process Parameter Optimization in a 3-D-Printed BeltClip. - Tariku Sinshaw Tamir; Xijin Hua; Jingchao Jiang; Jiewu Leng; Gang Xiong 001; Zhen Shen; Qiang Liu 031 (IEEE Trans. Comput. Soc. Syst., 2025)