| A deep reinforcement learning based multi-criteria decision support system for optimizing textile chemical process Z He, KP Tran, S Thomassey, X Zeng, J Xu, C Yi Computers in Industry 125, 103373, 2021 | 56 | 2021 |
| Multi-objective optimization of the textile manufacturing process using deep-Q-network based multi-agent reinforcement learning Z He, KP Tran, S Thomassey, X Zeng, J Xu, C Yi Journal of Manufacturing Systems 62, 939-949, 2022 | 44 | 2022 |
| Modeling of textile manufacturing processes using intelligent techniques: a review Z He, J Xu, KP Tran, S Thomassey, X Zeng, C Yi The International Journal of Advanced Manufacturing Technology 116 (1), 39-67, 2021 | 29 | 2021 |
| Effects of color fading ozonation on the color yield of reactive-dyed cotton Z He, M Li, D Zuo, J Xu, C Yi Dyes and Pigments 164, 417-427, 2019 | 25 | 2019 |
| Modeling color fading ozonation of reactive-dyed cotton using the Extreme Learning Machine, Support Vector Regression and Random Forest Z He, KP Tran, S Thomassey, X Zeng, J Xu, Y Changhai Textile research journal 90 (7-8), 896-908, 2020 | 24 | 2020 |
| Color fading of reactive-dyed cotton using UV-assisted ozonation ZL He, M Li, DY Zuo, CH Yi Ozone: Science & Engineering 41 (1), 60-68, 2019 | 24 | 2019 |
| The effect of denim color fading ozonation on yarns Z He, M Li, D Zuo, C Yi Ozone: Science & Engineering 40 (5), 377-384, 2018 | 24 | 2018 |
| Production cost optimization of enzyme washing for indigo dyed cotton denim by combining Kriging surrogate with differential evolution algorithm J Xu, Z He, S Li, W Ke Textile Research Journal 90 (15-16), 1860-1871, 2020 | 18 | 2020 |
| Data-driven soft sensors of papermaking process and its application to cleaner production with multi-objective optimization Z He, J Qian, J Li, M Hong, Y Man Journal of Cleaner Production 372, 133803, 2022 | 17 | 2022 |
| A comparative study of ozonation on aqueous reactive dyes and reactive‐dyed cotton M Li, Z He, J Xu Coloration Technology 137 (4), 376-388, 2021 | 15 | 2021 |
| Optimal operation of wind-solar-thermal collaborative power system considering carbon trading and energy storage Z He, C Liu, Y Wang, X Wang, Y Man Applied Energy 352, 121993, 2023 | 8 | 2023 |
| Overestimated carbon emission of the pulp and paper industry in China Y Man, Y Yan, X Wang, J Ren, Q Xiong, Z He Energy 273, 127279, 2023 | 7 | 2023 |
| Process monitoring and fault prediction of papermaking by learning from imperfect data Z He, G Chen, M Hong, Q Xiong, X Zeng, Y Man IEEE Transactions on Automation Science and Engineering, 2023 | 6 | 2023 |
| Cost Optimal Production-Scheduling Model Based on VNS-NSGA-II Hybrid Algorithm—Study on Tissue Paper Mill H Zhang, J Li, M Hong, Y Man, Z He Processes 10 (10), 2072, 2022 | 5 | 2022 |
| Cost optimization of sodium hypochlorite bleaching washing for denim by combining ensemble of surrogates with particle swarm optimization J Xu, F Liu, Z He, Z Zhang, S Li Journal of Engineered Fibers and Fabrics 16, 15589250211022331, 2021 | 5 | 2021 |
| 弹力牛仔的研究现状及发展趋势 何正磊， 田磊， 李婷婷， 易长海 武汉纺织大学学报 28 (3), 28-34, 2015 | 4 | 2015 |
| A deep reinforcement learning based multi-criteria decision support system for textile manufacturing process optimization Z He, KP Tran, S Thomassey, X Zeng, J Xu, C Haiyi arXiv preprint arXiv:2012.14794, 2020 | 3 | 2020 |
| Towards low-carbon papermaking wastewater treatment process based on Kriging surrogate predictive model Z He, M Hong, H Zheng, J Wang, Q Xiong, Y Man Journal of Cleaner Production 425, 139039, 2023 | 2 | 2023 |
| Decision Support Systems for Textile Manufacturing Process with Machine Learning Z Lu, Z He, KP Tran, S Thomassey, X Zeng, M Hong Machine Learning and Probabilistic Graphical Models for Decision Support …, 2022 | 2 | 2022 |
| Multi-objective scheduling in dynamic of household paper workshop considering energy consumption in production process Z Zhang, X He, Y Man, Z He | 1 | 2023 |
Xianyi ZengThe ENSAIT Textitle InstituteVerified email at ensait.fr
