（一）论文发表
Liang, X., Hong, M.,Man, Y.,He, Z*.(2025).Dynamics and scenarios of embodied carbon emissions in China’s pulp and paper industry.Resources, Conservation and Recycling, 220:108364.//doi.org/10.1016/j.resconrec.2025.108364
He, Z., Yu, X., Liu, Z., Ren, J., & Man, Y. (2025). Event-driven dynamic scheduling of mixed-flow shop of architectural ceramic forming process considering energy-saving.International Journal of Green Energy, 1–21.//doi.org/10.1080/15435075.2025.2552485
Li, M., Zhang, Z.,Zeng, X.,He, Z*.(2025). A Systematic Review on Intelligent Prediction of Inorganic Building Materials Performance.International Journal of Computational Intelligence Systems, 18: 123.//link.springer.com/article/10.1007/s44196-025-00843-2
Huang, Z.,He, Z*., Xing, Z., Liang, S.(2025). Global staple food trade exacerbates biodiversity loss: a network perspective.Environment, Development and Sustainability.//doi.org/10.1007/s10668-025-06477-w
Qi, H., Wang, Z., Hu, S.,He, Z., Han, Y., Man, Y.(2025). Multi-scale Life-cycle Carbon Emission Analysis for Papermaking Industry of China: Evolution Triggered by the Waste Import Ban.ACS Sustainable Chemistry & Engineering.13, 28, 11128–11142.//pubs.acs.org/doi/10.1021/acssuschemeng.5c00355
He, Z.,S. Li, D. Hu,Man, Y.(2025). Low-carbon, green, and economic scheme for wastewater treatment process based on multi-objective optimal control.Chemical Engineering Science, 306:121297.//doi.org/10.1016/j.ces.2025.121297
He, Z.,Z. Lu, X. Wang, Q. Xiong, K. Tran, S. Thomassey, X. Zeng, M. Hong andMan, Y.(2024).Multi-objective Optimization of Papermaking Wastewater Treatment Processes Under Economic, Energy, and Environmental Goals.Environmental Science & Technology, 58, 36, 16076–16086//doi.org/10.1021/acs.est.4c03460.（封面论文）
He, Z.,S. Li, Y. Wang, B. Chen, J. Ren, Q. Xiong,Man, Y.(2024).Interpretable GHG emission prediction for papermaking wastewater treatment process with deep learning.Chemical Engineering Science, 299:120492.//doi.org/10.1016/j.ces.2024.120492
Bi, H., Zhao X., Xu D., Liu J.,He, Z*., An L., Zhu B., Sun C., Li Z. (2024)Differences in anodizing of two copper-containing coordination compounds by different degradation factors: experiments and DFT calculations.Journal of Cleaner Production,468:142969//doi.org/10.1016/j.jclepro.2024.142969
Liang, X., Zhang, Q.,Man, Y.,He, Z*. (2024) Toward sustainable process industry based on knowledge graph: a case study of papermaking.Discover Sustainability,5:93.//doi.org/10.1007/s43621-024-00259-6
He, Z.,C. Liu, Y. Wang, X. Wang, and Man, Y. (2023). Optimal operation of wind-solar-thermal collaborative power system considering carbon trading and energy storage.Applied Energy, 352: 121993.//doi.org/10.1016/j.apenergy.2023.121993
He, Z., M. Hong, H. Zheng, J. Wang, Q. Xiong and Man, Y. (2023). Towards Low-carbon Papermaking Wastewater Treatment Process based on Kriging Surrogate Predictive Model.Journal of Cleaner Production, 425: 139039.//doi.org/10.1016/j.jclepro.2023.139039
Man, Y., Y. Yan, J. Ren, X. Wang, Q. Xiong andHe, Z*.(2023). Overestimated Carbon Emission of the Pulp and Paper industry in China.Energy, 273: 127279.//doi.org/10.1016/j.energy.2023.127279
He, Z., G. Chen, M. Hong, Q. Xiong, X. Zeng and Man, Y. (2023)Process Monitoring and Fault Prediction of Papermaking by Learning from Imperfect Data.IEEE Transactions on Automation Science and Engineering, 22: 680 - 690.//doi.org/10.1109/TASE.2023.3290552
Zhang, Z., He, X., Man, Y.,&He, Z*.(2023) Multi-objective scheduling in dynamic of household paper workshop considering energy consumption in production process.Journal of Smart Environments and Green Computing, 3:87-105.//dx.doi.org/10.20517/jsegc.2023.05
He, Z.,K. Tran,S.Thomassey, X.Zeng, J.Xu and C.Yi.(2022) Multi-Objective Optimization of the Textile Manufacturing Process Using Deep-Q-Network Based Multi-Agent Reinforcement Learning.Journal of Manufacturing Systems, 62: 939-949.//doi.org/10.1016/j.jmsy.2021.03.017
He, Z., Qian, J, Man, Y., Li, J., & Hong, M.(2022)Data-driven soft sensors of papermaking process and its application to cleaner production with multi-objective optimization.Journal of Cleaner Production,372: 133803.//www.sciencedirect.com/science/article/pii/S0959652622033790
Zhang, H.,Li, J., Hong, M.,Man, Y., &He, Z*. (2022) Cost Optimal Production-Scheduling Model Based on VNS-NSGA-II Hybrid Algorithm—Study on Tissue Paper Mill.Processes,10: 2072.//doi.org/10.3390/pr10102072
He, Z.,K. Tran,S.Thomassey, X.Zeng, J.Xu and C.Yi.(2021) Modeling of Textile Manufacturing Processes Using intelligent techniques: a review.International Journal of Advanced Manufacturing Technology,116, 39–67.//link.springer.com/article/10.1007/s00170-021-07444-1
Xu, J., Liu, F,He, Z*., Li, S. (2021).Cost Optimization of Sodium Hypochlorite Bleaching Washing for Denim by Combining Ensemble of Surrogates with particle swarm optimization.Journal of Engineered Fibers and Fabrics.//doi.org/10.1177/15589250211022331
He, Z.,K. Tran,S.Thomassey, X.Zeng, J.Xu and C.Yi.(2021) A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Optimizing Textile Chemical Process.Computers in Industry,125(February 2021): 103373//doi.org/10.1016/j.compind.2020.103373.
He, Z.,K. Tran,S.Thomassey, X.Zeng, J.Xu and C.Yi.(2020). Modeling color fading ozonation of reactive-dyed cotton using the Extreme Learning Machine, Support Vector Regression and Random Forest.Textile Research Journal,90(7-8), 896-908.//doi.org/10.1177/0040517519883059
Xu, J.,He, Z*., Li, S., & Ke, W. (2020). Production cost optimization of enzyme washing for indigo dyed cotton denim by combining Kriging surrogate with differential evolution algorithm.Textile Research Journal,90(15-16): 1860-1871.//doi.org/10.1177/0040517520904352
He, Z., M. Li, D. Zuo, J. Xu & C. Yi. (2019) Effects of color fading ozonation on the color yield of reactive-dyed cotton.Dyes and Pigments,164, 417-427.//doi.org/10.1016/j.dyepig.2019.01.006
He, Z., M. Li, D. Zuo, J. Xu & C. Yi.(2019). Color fading of reactive-dyed cotton using UV-assisted ozonation.Ozone: Science & Engineering,41(1), 60-68.//doi.org/10.1080/01919512.2018.1483817
He, Z., M. Li, D. Zuo, J. Xu & C. Yi. (2018). The effect of denim color fading ozonation on yarns.Ozone: Science & Engineering,40(5), 377-384.//doi.org/10.1080/01919512.2018.1435259
何正磊*,胡丁丁. (2025)基于多智能体强化学习的造纸污水多目标优化,化工学报.76: 1617-1634.
梁湘瑶,何正磊*.(2025)中国造纸工业隐含碳排放测算及其影响因素分析,中国造纸. 44: 72-80.
李世忠,满奕,何正磊*.(2024)基于DNN-LSTM的造纸污水处理过程温室气体排放分析模型,中国造纸.2024,43(04):170-176.
陈国健,李继庚,陈波,满奕,何正磊*. (2024)基于自编码的长流程造纸过程断纸故障识别,中国造纸. 43(03):113-120+141.
朱小林,刘昌,满奕,何正磊*. (2025)考虑碳交易和储能系统的风光火协同优化运行,华北电力大学学报. 52(1):66-73+94.
刘昌,朱小林,满奕,何正磊*. (2023)面向造纸园区的多能协同调度模型,中国造纸, 42(12):158-169.
陆造好,满奕,李继庚,洪蒙纳,何正磊*.(2023)基于深度强化学习的造纸废水处理过程多目标优化,中国造纸,42(3):13-22.
钱继炜,李继庚,满奕,洪蒙纳,何正磊*. (2023)基于机器学习的箱纸板质量离线软测量建模研究,中国造纸. 42(07): 72-78+129.
张一水,满奕,何正磊*. (2023)造纸工业过程数字孪生模型的构建与应用,造纸科学与技术, 42(5): 1-7.
（二）专利
何正磊;满奕;刘泽君.瓷砖坯体干燥过程中坯体温湿度变化的模拟系统及方法, 2024-7-5,中国, CN202410953459.7
何正磊;满奕;刘泽君.一种陶瓷生坯热风干燥过程的模拟方法, 2024-7-5,中国, CN 2024108956732.3
满奕;何正磊;陆造好.一种基于强化学习的造纸污水处理优化控制方法, 2023-12-08,中国, CN202311687078.0
满奕;何正磊;张振亚.一种建筑陶瓷质量小试的辅助配料预测方法，2024-7-5,中国, CN202410895687.3
满奕;何正磊;张振亚.一种基于机器学习的建筑陶瓷烧成形变预测方法，2024-7-5,中国, CN202410895808.4
满奕;何正磊;张振亚.一种基于机器学习实现建筑陶瓷坯体小试质量预测的方法,2024-7-5,中国, CN202410895865.2
（三）专著、章节
Tran, K.,He, Z.(2024)Computational Techniques for Smart Manufacturing in Industry 5.0: Methods and Applications.CRC Press, Taylor & Francis Group, USA.
Chen, G.,He, Z*., Man, Y., Li, J., & Hong, M. (2023) Fault Prediction of Papermaking Process Based on Gaussian Mixture Model and Mahalanobis Distance. In Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges (pp. 83-96). Springer, Cham.
Zhang, H.,He, Z*., Man, Y., Li, J., & Hong, M. (2023) Multi-objective optimization of flexible flow-shop intelligent scheduling based on hybrid intelligent algorithm. In Artificial Intelligence for Smart Manufacturing: Methods, Applications, and Challenges (pp. 97-117). Springer, Cham.
Lu, Z.,He, Z.*, Tran, K. P., Thomassey, S., Zeng, X., & Hong, M. (2022) Decision Support Systems for Textile Manufacturing Process with Machine Learning. In Machine Learning and Probabilistic Graphical Models for Decision Support Systems (pp. 107-121). CRC Press, Taylor & Francis Group, USA.
He, Z.*, Tran, K. P., Thomassey, S., Zeng, X., & Yi, C. (2020). Application of Artificial Intelligence in Modeling a Textile Finishing Process. In Reliability and Statistical Computing (pp. 61-84). Springer, Cham.
（四）会议
何正磊. (2025).基于智能体博弈的污水处理减污降碳动态协同优化研究,第三届城市群绿色发展研讨会暨中国城市科学研究会城市群绿色发展专业委员2025年学术年会,厦门.
He, Z*, Li S., Man Y. (2025).Predicting Greenhouse Gas Emissions in Papermaking Wastewater Treatment Process.InProceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2025), Shunde, China.
胡丁丁,何正磊*. (2024).基于Kriging-HDMR多智能体强化学习的造纸污水处理过程多目标优化, 2024过程系统工程年会,大连.
Hu D., Chen G.,He, Z*.,Tran K., Zeng X. Paper Break Fault Recognition in Long Process of Papermaking Based on Autoencoder,16th International FLINS Conference on Robotics and Artificial Intelligence (FLINS 2024),Madrid, Spain.
He, Z.Modeling and dynamic optimization of carbon emission in the papermaking process, in Global Cleaner Production Conference 2023, Shanghai, China, (特邀报告).
Lu, Z., Hong, M., Man, Y., Zeng. X., &He, Z*. (2023).Reinforcement Learning Method for Multi-objective Optimization of Papermaking Wastewater Treatment Process.InProceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2023), Fuzhou, China.
He, Z.Reducing Carbon Emission of Papermaking Process through data-driven models and multi-agent reinforcement learning.2022 International Workshop on Cleaner Production & Carbon Neutrality in the Belt and Road Initiative, Guangzhou, China.
Qian, J., Zhang, Y.,He, Z*., Man, Y., Li, J., & Hong, M. (2022).Influence of potential multi-condition data on soft sensor modeling. InProceedings of the 15th International FLINS Conference on Robotics and Artificial Intelligence (FLINS 2022),Tianjin, China.
Zhang, Y., Qian, J.,He, Z*., Man, Y., Li, J., & Hong, M. (2022).Digital twin for energy optimization in the paper drying process based on genetic algorithm and CADSIM Plus. InProceedings of the 15th International FLINS Conference on Robotics and Artificial Intelligence (FLINS 2022),Tianjin, China.
何正磊, (2021).人工智能技术赋能牛仔服装清洁生产与碳减排, 2021中国牛仔时尚产业可持续发展高峰论坛,于都(特邀报告).
何正磊, (2021).基于多智能体深度强化学习的造纸污水处理过程多目标优化, 2021中国生态学学会产业生态学专委会学术年会,上海.
He, Z., Tran, K. P., Thomassey, S., Zeng, X., & Yi, C. (2020). A reinforcement learning based decision support system in textile manufacturing process. InProceedings of the 14th International FLINS Conference on Robotics and Artificial Intelligence (FLINS 2020),Cologne, Germany.
He, Z., Tran, K. P., Thomassey, S., Zeng, X., & Yi, C. (2019). Modeling Color Fading Ozonation of Textile Using Artificial Intelligence. InISSAT International Conference on Data Science in Business, Finance and Industry (DSBFI 2019),Danang, Vietnam.
He, Z., Thomassey, S., Zeng, X., Zuo, D., & Yi, C. (2018). The application of process modeling in denim manufacturing. InProceedings of the 13th International Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018),Belfast, UK.
He, Z., Zhou, X., Zuo, D., & Yi, C. (2017).Ozone/UV Collaborative Treatment on the Color Fading of Dyed Cotton. In Proceedings of the 10thTextile Bioengineering and Informatics Society (TBIS2017), Wuhan, China.
Li, M.,He, Z,Cui, T., Wu, Z., Wu, J. (2017).Determination of the content of calcium oxalate crystals in antheraea pernyi cocoon layers based on the inductively coupled plasma-atomic emission spectrometry. Proceedings of the 10thTextile Bioengineering and Informatics Society (TBIS2017), Wuhan, China.
Du, W., Li, T.,He, Z., Zuo, D., Zou, H., Wang, X., & Yi, C. (2015).Comparative assessment of denimgarments treated with laser bleaching and enzymatic bleaching methods. In The Fiber Society 2015 Fall Meeting and Technical Conference,Raleigh, USA.
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