Life cycle aggregated sustainability index for the prioritization of industrial systems under data uncertainties. - Jingzheng Ren (Comput. Chem. Eng., 2018)

Playing T-Rex Rush with Deep Reinforcement Learning. - Shuaibing Wang; Jingzheng Ren (CNIOT, 2020)

An Interaction Investigation of the Contributing Factors of the Bullwhip Effect Using a Bi-Level Social Network Analysis Approach. - Hongting Zhou; Wai Sze Yip; Jingzheng Ren; Suet To (IEEE Access, 2020)

Stakeholder-oriented multi-objective process optimization based on an improved genetic algorithm. - Yang Su; Saimeng Jin; Xiangping Zhang; Weifeng Shen; Mario R. Eden; Jingzheng Ren (Comput. Chem. Eng., 2020)

Energy system optimization model for tissue papermaking process. - Yang Zhang 106; Mengna Hong; Jigeng Li; Jingzheng Ren; Yi Man (Comput. Chem. Eng., 2021)

Industry 5.0: From Manufacturing Industry to Sustainable Society. - Misbah Iqbal; Carman K. M. Lee; Jingzheng Ren (IEEM, 2022)

Topic discovery innovations for sustainable ultra-precision machining by social network analysis and machine learning approach. - Hongting Zhou; Wai Sze Yip; Jingzheng Ren; Suet To (Adv. Eng. Informatics, 2022)

Improved design of heat-pump extractive distillation based on the process optimization and multi-criteria sustainability analysis. - Tao Shi; Yue Liu; Haoshui Yu; Ao Yang; Shirui Sun; Weifeng Shen; Carman K. M. Lee; Jingzheng Ren (Comput. Chem. Eng., 2022)

A two-stage algorithm for bi-objective logistics model of cash-in-transit vehicle routing problems with economic and environmental optimization based on real-time traffic data. - Yuanzhi Jin; Xianlong Ge; Long Zhang; Jingzheng Ren (J. Ind. Inf. Integr., 2022)

Optimal EV Fast Charging Station Deployment Based on a Reinforcement Learning Framework. - Zhonghao Zhao; Carman K. M. Lee; Jingzheng Ren; Yung Po Tsang (IEEE Trans. Intell. Transp. Syst., 2023)

An improved multi-modal representation-learning model based on fusion networks for property prediction in drug discovery. - Jinzhou Wu; Yang Su; Ao Yang; Jingzheng Ren; Yi Xiang (Comput. Biol. Medicine, 2023)

Hydrogen prediction in poultry litter gasification process based on hybrid data-driven deep learning with multilevel factorial design and process simulation: A surrogate model. - Yousaf Ayub; Yusha Hu; Jingzheng Ren; Weifeng Shen; Carman K. M. Lee (Eng. Appl. Artif. Intell., 2023)

Custom machine learning algorithm for large-scale disease screening - taking heart disease data as an example. - Leran Chen; Ping Ji 001; Yongsheng Ma; Yiming Rong; Jingzheng Ren (Artif. Intell. Medicine, 2023)

Customized obstacle detection system for High-Speed Railways: A novel approach toward intelligent rail transportation. - Leran Chen; Ping Ji 001; Yongsheng Ma; Yiming Rong; Jingzheng Ren (Adv. Eng. Informatics, 2024)

LiDAR-IMU Tightly-Coupled SLAM Method Based on IEKF and Loop Closure Detection. - Huimin Pan; Dongfeng Liu; Jingzheng Ren; Tianxiong Huang; Huijun Yang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Multi-objective inverse design of finned heat sink system with physics-informed neural networks. - Zhibin Lu; Yimeng Li; Chang He; Jingzheng Ren; Haoshui Yu; Bingjian Zhang; Qinglin Chen (Comput. Chem. Eng., 2024)

A high-accuracy deep learning framework for digital twin model development of actual chemical processes. - Yue Li; Zhongmei Li; Jingzheng Ren; Wenli Du; Weifeng Shen (Eng. Appl. Artif. Intell., 2025)

Crystal Structure Prediction Using a Self-Attention Neural Network and Semantic Segmentation. - Wuling Zhao; Minxia Zhou; Jialin Shao; Jingzheng Ren; Yusha Hu; Yulin Han; Yi Man (J. Chem. Inf. Model., 2025)