（一）論文發表
1.He, Z.,Z. Lu,X. Wang,Q.Xiong, K. Tran, S. Thomassey, X. Zeng, M. Hong and Y. Man(2024).Multi-objective Optimization of Papermaking Wastewater Treatment Processes Under Economic, Energy, and Environmental Goals.Environmental Science &Technology,(Accept).
2.He, Z.,S. Li,Y.Wang,B.Chen,J.Ren,Q.Xiong,Y.Man(2024).Interpretable GHG emission prediction for papermaking wastewater treatment process with deep learning.Chemical Engineering Science,Available online 10 July 2024, 120492.https://doi.org/10.1016/j.ces.2024.120492
3.Bi, H.,Zhao X.,Xu D.,Liu J.,He, Z*.,An L., Zhu B., Sun C.,LiZ. (2024)Differences in anodizing of two copper-containing coordination compounds by different degradation factors: experiments and DFT calculations.Journal of Cleaner Production,Available online 21 June 2024, 142969https://doi.org/10.1016/j.jclepro.2024.142969
4.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.https://doi.org/10.1007/s43621-024-00259-6
5.He, Z.,C. Liu, Y. Wang, X.Wang,and Y. Man (2023). Optimal operation of wind-solar-thermal collaborative power system considering carbon trading and energy storage.Applied Energy, 352: 121993.https://doi.org/10.1016/j.apenergy.2023.121993
6.He, Z., M. Hong, H. Zheng, J. Wang, Q. Xiong, and Y. Man (2023). Towards Low-carbon Papermaking Wastewater Treatment Process based on Kriging Surrogate Predictive Model.Journal of Cleaner Production, 425: 139039.https://doi.org/10.1016/j.jclepro.2023.139039
7.Man, Y., Yan, Y., Ren, J., Wang, X., Xiong, Q., &He, Z*(2023). Overestimated Carbon Emission of the Pulp and Paper industry in China.Energy, 273: 127279.https://doi.org/10.1016/j.energy.2023.127279
8.He, Z., Chen, G., Hong, M. Xiong, Q., Zeng X., & Man, Y. (2023) Process Monitoring and Fault Prediction of Papermaking by Learning from Imperfect Data.IEEE Transactions on Automation Science and Engineering(Early Access).https://doi.org/10.1109/TASE.2023.3290552
9.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.http://dx.doi.org/10.20517/jsegc.2023.05
10.He, Z., Tran, K. P., Thomassey, S., Zeng, X., Xu, J., & Changhai, Y. (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.https://doi.org/10.1016/j.jmsy.2021.03.017
11.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.https://www.sciencedirect.com/science/article/pii/S0959652622033790
12.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,2022, 10: 2072.https://doi.org/10.3390/pr10102072
13.He, Z., Tran, K. P., Thomassey, S., Zeng, X., Xu, J., & Changhai, Y. (2021) Modeling of Textile Manufacturing Processes Using intelligent techniques: a review.International Journal of Advanced Manufacturing Technology,116, 39–67. https://link.springer.com/article/10.1007/s00170-021-07444-1
14.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.https://doi.org/10.1177/15589250211022331
15.HE, Z., TRAN, K. P., THOMASSEY, S., ZENG, X., XU, J., & YI, C. (2021) A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Optimizing Textile Chemical Process.Computers in Industry,125(February 2021): 103373https://doi.org/10.1016/j.compind.2020.103373.
16.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.https://doi.org/10.1177/15589250211022331
17.He, Z., Tran, K. P., Thomassey, S., Zeng, X., Xu, J., & Changhai, Y. (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.https://doi.org/10.1177/0040517519883059
18.Xu, J.,He, Z*., Li, S., & Ke, W. (2020). Production cost optimization of enzyme washing for indigodyed cotton denim by combining Kriging surrogate with differential evolution algorithm.Textile Research Journal,90(15-16): 1860-1871.https://doi.org/10.1177/0040517520904352
19.He, Z., Li, M., Zuo, D., Xu, J., & Yi, C. (2019) Effects of color fading ozonation on the color yield of reactive-dyed cotton.Dyes and Pigments,164, 417-427.https://doi.org/10.1016/j.dyepig.2019.01.006
20.He, Z.,Li, M., Zuo, D., & Yi, C. (2019). Color fading of reactive-dyed cotton using UV-assisted ozonation.Ozone: Science & Engineering,41(1), 60-68.https://doi.org/10.1080/01919512.2018.1483817
21.He, Z., Li, M., Zuo, D., & Yi, C. (2018). The effect of denim color fading ozonation on yarns.Ozone: Science & Engineering,40(5), 377-384.https://doi.org/10.1080/01919512.2018.1435259
22.李世忠,滿奕,何正磊*.(2024)基于DNN-LSTM的造紙污水處理過程溫室氣體排放分析模型,中國造紙.2024,43(04):170-176.
23.陳國健,李繼庚,陳波,滿奕,何正磊*. (2024)基于自編碼的長流程造紙過程斷紙故障識别,中國造紙. 2024,43(03):113-120+141.
24.朱小林,劉昌,滿奕,何正磊*. (2024)考慮碳交易和儲能系統的風光火協同優化運行,華北電力大學學報. (網絡首發)
25.劉昌,朱小林,滿奕,何正磊*. (2023)面向造紙園區的多能協同調度模型,中國造紙, 42(12):158-169.
26.陸造好,滿奕,李繼庚,洪蒙納,何正磊*.(2023)基于深度強化學習的造紙廢水處理過程多目标優化,中國造紙,42(3):13-22.
27.錢繼炜,李繼庚,滿奕,洪蒙納,何正磊*. (2023)基于機器學習的箱紙闆質量離線軟測量建模研究,中國造紙. 42(07): 72-78+129.
28.張一水,滿奕,何正磊*. (2023)造紙工業過程數字孿生模型的構建與應用,造紙科學與技術, 42(5): 1-7.
（二）專利
何正磊;滿奕;劉澤君.瓷磚坯體幹燥過程中坯體溫濕度變化的模拟系統及方法, 2024-7-5,中國, CN202410953459.7
何正磊;滿奕;劉澤君.一種陶瓷生坯熱風幹燥過程的模拟方法, 2024-7-5,中國, CN 2024108956732.3
滿奕;何正磊;陸造好.一種基于強化學習的造紙污水處理優化控制方法, 2023-12-08,中國, CN202311687078.0
滿奕;何正磊;張振亞.一種建築陶瓷質量小試的輔助配料預測方法，2024-7-5,中國, CN202410895687.3
滿奕;何正磊;張振亞.一種基于機器學習的建築陶瓷燒成形變預測方法，2024-7-5,中國, CN202410895808.4
滿奕;何正磊;張振亞.一種基于機器學習實現建築陶瓷坯體小試質量預測的方法,2024-7-5,中國, CN202410895865.2
（三）專著、章節
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）會議
胡丁丁,何正磊*.基于Kriging-HDMR多智能體強化學習的造紙污水處理過程多目标優化, 2024過程系統工程年會,大連.
Hu D., Chen G.,He, Z*.,Tran K., Zeng X.Paper Break Fault Recognition in Long ProcessofPapermaking 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, (特邀報告).
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,人工智能技術賦能牛仔服裝清潔生産與碳減排,2021中國牛仔時尚産業可持續發展高峰論壇,于都(特邀報告).
何正磊,基于多智能體深度強化學習的造紙污水處理過程多目标優化, 2021中國生态學學會産業生态學專委會學術年會,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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