隆建  副教授、博士生導(dǎo)師

地址：華東理工大學(xué)徐匯校區(qū)實(shí)驗(yàn)19樓1406室

電話：021-64253720

郵箱：longjian@ecust.edu.cn

【個(gè)人簡(jiǎn)介】

【所獲榮譽(yù)】

1. 中國(guó)專利優(yōu)秀獎(jiǎng)

2. 上海市科技進(jìn)步一等獎(jiǎng)

3. 上海市技術(shù)發(fā)明一等獎(jiǎng)

4. 中國(guó)人工智能學(xué)會(huì)優(yōu)秀科技成果獎(jiǎng)

【學(xué)術(shù)兼職】

1. IEEE電氣和電子工程師協(xié)會(huì)會(huì)員、中國(guó)自動(dòng)化學(xué)會(huì)學(xué)員、中國(guó)過(guò)程系統(tǒng)工程學(xué)會(huì)會(huì)員

2. Expert Syst. Appl.、IEEE TII、IEEE TNSE、Fuel、JPC、CES、IECR等信息、能源、化工、控制領(lǐng)域頂級(jí)/著名期刊審稿人

3. 國(guó)基金青年/面上項(xiàng)目評(píng)審專家、受邀Process期刊客座編輯

【研究方向】

1. 機(jī)器學(xué)習(xí)與人工智能及其應(yīng)用

2. 工業(yè)過(guò)程系統(tǒng)工程及智能制造

3. 醫(yī)學(xué)圖像處理與分析、醫(yī)療大數(shù)據(jù)

4. 新能源生產(chǎn)過(guò)程多尺度智能混合建模與優(yōu)化

5. 魯棒優(yōu)化、博弈優(yōu)化及其在工業(yè)生產(chǎn)、公共管理智能決策中應(yīng)用

【承擔(dān)項(xiàng)目】

1. 國(guó)家自然科學(xué)基金委員會(huì)，面上項(xiàng)目，新型變徑流化床油轉(zhuǎn)化催化反應(yīng)過(guò)程多尺度耦合建模與多模態(tài)魯棒優(yōu)化，在研，主持；

2. 科技部重點(diǎn)研發(fā)課題，石油基乙烯流程工藝仿真共性技術(shù)平臺(tái)，在研，參與；

3. 國(guó)家自然科學(xué)基金委員會(huì)，面上項(xiàng)目，油品近紅外在線多模態(tài)智能檢測(cè)和表征，結(jié)題，主持；

4. 國(guó)家自然科學(xué)基金委員會(huì)，青年項(xiàng)目：基于預(yù)設(shè)重構(gòu)并融合密度泛函理論和單位鍵指標(biāo)-二次指數(shù)勢(shì)法的催化裂化分子尺度動(dòng)力學(xué)研究，結(jié)題，主持；

5. 國(guó)家自然科學(xué)基金委員會(huì)，國(guó)際(地區(qū))合作與交流項(xiàng)目，煉油裝置短期最優(yōu)操作運(yùn)行研究，結(jié)題，技術(shù)骨干；

6. 國(guó)家自然科學(xué)基金委員會(huì)，重大項(xiàng)目，煉油生產(chǎn)過(guò)程全局優(yōu)化運(yùn)行的基礎(chǔ)理論與關(guān)鍵技術(shù)--課題1煉油生產(chǎn)過(guò)程全局優(yōu)化運(yùn)行的集成建模理論與技術(shù)，結(jié)題，技術(shù)骨干；

7. 教育部，中央高校基本科研業(yè)務(wù)費(fèi)專項(xiàng)資金-重點(diǎn)科研基地創(chuàng)新基金項(xiàng)目，原油快速評(píng)價(jià)研究，結(jié)題，主持。

8. 企業(yè)項(xiàng)目數(shù)項(xiàng)，如：工業(yè)催化裂化裝置智能運(yùn)行優(yōu)化、渣油加氫催化劑剩余壽命預(yù)測(cè)、航空汽油生產(chǎn)方案研發(fā)、大型煉廠虛擬制造系統(tǒng)，等。

【主要成果】

研發(fā)了生產(chǎn)過(guò)程多尺度特性表征與智能建模方法、多尺度多目標(biāo)資源優(yōu)化決策方法，形成了知識(shí)產(chǎn)權(quán)自主可控的智能制造系統(tǒng)，實(shí)現(xiàn)了大型石化企業(yè)核心過(guò)程智能協(xié)同優(yōu)化。在國(guó)內(nèi)外學(xué)術(shù)期刊，如Chem. Eng. Sci.、Appl. Energy、Energy、Fuel、Comput. Chem. Eng.、Chin. J. Chem. Eng.、Expert Syst. Appl.、Adv. Eng. Inf.、Comput. Ind. Eng.等化工、能源、信息、人工智能、管理領(lǐng)域頂級(jí)/著名期刊，發(fā)表了學(xué)術(shù)論文70余篇，其中SCI論文60余篇。公開(kāi)和申請(qǐng)國(guó)家發(fā)明專利50余項(xiàng)，已授權(quán)15項(xiàng)；申請(qǐng)國(guó)際PCT專利5項(xiàng)，登記計(jì)算機(jī)軟著作權(quán)50余項(xiàng)。

【近年來(lái)發(fā)表的代表性論文】

1.Jian Long, Siyu Jiang, Luyao Wang, Jiazi Zhai, Feng Zhang*, Liang Zhao*. A Feature Optimized Attention Transformer with Kinetic Information Capture and Weighted Robust Z-score for Industrial NOx Emission Forecasting. Energy, 2025, 326:136276.

2. Renchu He, Rui Bian, Junjie Hua, Liang Zhao, Feng Xu*, and Jian Long*. Multi-objective optimization of gasoline blending scheduling via NSGA-II algorithm with composite operators considering oil. Expert Systems with Applications. 2025, 280:127426.

3. Xiangming Chen, Kai Luo, Cheng Huang, Jiahao Gong, Jian Long*, Wenze Guo*. Hybrid Modeling of Catalytic Cracking Processes Based on Seventeen-Lump Kinetic Model and Light Gradient Boosting Machine[J]. Energy & Fuels, 2025, 39 (14): 6942-6956.(期刊封面論文)

4. Zhi Li, Yuchong Xia, Jian Long*, Chensheng Liu and Longfei Zhang. Multi-scale feature fused stacked autoencoder and its application for soft sensor modeling[J]. Chin. J. Chem. Eng., Available online 9 March 2025.

5. Liang Zhao, Jiyun Rong, Guofu Ma, Jian Long*, Chen Liang. Multi-stage stochastic programming for integrated optimization of ethylene production processes and utility systems under uncertainty[J]. Energy, 2025, 320: 135295.

6. Zhe Wang, Renchu He*, Jian Long*. Systematic data-driven modelling framework for nonlinear distillation processes incorporating K-means data interval clustering, MIC and integrated learning algorithm[J]. Chin. J. Chem. Eng., Available online 8 March 2025.

7. Chen Fan, Xindong Wang, Jian Long*. Kinetic modeling and multi-objective optimization of an industrial hydrocracking process with an improved SPEA2-PE algorithm[J]. Chin. J. Chem. Eng., 2025, 80:130-146.

8. Guihua Hu, Mimi Chen, Jian Long*. Novel reduced-order framework combining proper orthogonal decomposition and multi-parallel Gaussian process regression: multi-physics prediction of ethylene cracking furnaces[J]. Chemical Engineering Science, 2025, 305: 121170.

9. Jian Long, Jiawei Zhu, Ning Wang, Jiazi Zhai, Tiantian Xu, Cheng Liang*, Liang Zhao*. Data-driven robust optimization for refinery operation in material-energy coupling systems under uncertainty[J]. Expert Systems with Applications, 2025, 267: 126184.

10. Renchu He, Yunhao Xie, Shiwei Zhang, Feng Xu, Jian Long*，Knowledge Assisted Hybrid Optimization Strategy of Large-Scale Crude Oil Scheduling Integrated Production Planning[J]. Computers and Chemical Engineering, 2025, 192: 108904.

11. Jian Long, Ning wang, Jiazi Zhai, Chen Liang, Siyi Jiang, Liang Zhao*. Data driven multi-objective economic-environmental robust optimization for refinery planning with multiple modes under uncertainty[J]. Computers & Industrial Engineering, 2024, 198: 110697.

12. Lei Wan, Yuhui Ruan, Jian Long*, Liang zhao, Tiantian Xu, Wang Ning. A Stackelberg Game-based Programming approach for Industrial Steam Systems Incorporating Renewable Energy Considering Demand Response[J]. Energy, 2024, 312: 133446.

13. Jian Long, Mengru Zhang, Anlan Li, Cheng Huang, Dong Xue*. Hybrid model of multimodal based on data enhancement and lumped reaction kinetics: Applying to industrial ebullated-bed residue hydrogenation unit[J]. Chin. J. Chem. Eng., 2025, 78: 284-302.

14. Jian Long, Long Ye, Haifei Peng, Zhou Tian*. Efficient prediction framework for large-scale nonlinear petrochemical process based on feature selection and temporal-attention LSTM: applied to fluid catalytic cracking[J]. Chemical Engineering Science, 2025, 301: 120733.

15. Guihua Hu, Qingfeng Tao, Rui Ying, Jian Long*. Multi-objective robust optimization design framework for low-pollution emission burners[J]. Chem. Eng. Res. and Des., 2024, 210: 180–189.

16. Jian Long, Yifan Chen, Liang Zhao*. Just-in-time learning method based on two kinds of local samples combined with two-stage training parallel learner for nonlinear chemical process soft sensing[J]. Measurement, 2024, 238: 115371.

17. Jian Long, Cheng Huang, Kai Deng, Lei Wan, Guihua Hu*, Feng Zhang. Novel hybrid data-driven modeling integrating variational modal decomposition and dual-stage self-attention model: applied to industrial petrochemical process[J]. Energy, 2024, 304: 131895.

18. Tiantian Xu, Jian Long*, Liang Zhao, and Wenli Du. Material and energy coupling systems optimization for large-scale industrial refinery with sustainable energy penetration under multiple uncertainties using two-stage stochastic programming[J]. Applied Energy, 2024, 371: 123525.

19. Haifei Peng, Jian Long*, Cheng Huang, Shibo Wei, Zhencheng Ye*. Multi modal hybrid modeling strategy based on Gaussian mixture variational autoencoder and spatial–temporal attention: Application to industrial process prediction[J]. Chemometr. Intell. Lab. Syst., 2024, 244: 105029.

20. Lei Wan, Kai Deng, Liang Zhao, Jian Long*. Multi-objective Optimization Strategy for Industrial Catalytic Cracking Units: Kinetic Model and Enhanced SPEA-2 Algorithm with Economic, CO₂, and SO₂ Emission Considerations[J]. Chemical Engineering Science, 2023, 282: 119331.

21. Tiantian Xu, Tianyue Li, Jian Long*, Liang Zhao, Wenli Du. Data-driven multi-period modeling and optimization for the industrial steam system of large-scale refineries [J]. Chemical Engineering Science, 2023, 282: 119112.

22. Yifan Chen, Anlan Li, Xiangyang Li, Dong Xue*, Jian Long*. Efficient JITL framework for nonlinear industrial chemical engineering soft sensing based on adaptive multi-branch variable scale integrated convolutional neural networks[J]. Advanced Engineering Informatics, 2023, 58: 102199.

23. LuYao Wang, Jian Long*, XiangYang Li, Haifei Peng, Zhencheng Ye*. Industrial units modeling using self-attention network based on feature selection and pattern classification[J]. Chem. Eng. Res. and Des., 2023, 200: 176-185.

24. Jian Long, Kai Deng, Renchu He*. Closed-loop scheduling optimization strategy based on particle swarm optimization with niche technology and soft sensor method of attributes-applied to gasoline blending process[J]. Chin. J. Chem. Eng., 2023, 61: 43–57.

25. Renchu He, Keshuai, Liang Zhao, Jian Long*. Minglei Yang*. Data-driven worst case model predictive control algorithm for propylene distillation column under uncertainty of top composition [J]. Journal of Process Control, 2023, 124: 199-213.