王新杰
中国科协“青年人才托举工程”
上海市青年科技英才扬帆计划
王新杰，男，1991年4月出生，工学博士，博士后。2020年7月博士毕业于东华大学，期间受国家留学基金委资助在英国萨里大学开展联合培养。2021年7月入职华东理工大学控制科学与工程流动站从事博士后研究工作，2021年11月借调至上海市科学技术委员会研发基地建设与管理处工作。主要研究领域为类脑智能基础理论及其在复杂工业过程中的研究应用，相关研究工作被IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Cybernetics、IEEE Transactions on Instrumentation and Measurement、Fuel、Control Engineering Practice、Chemical Engineering Science、Swarm and Evolutionary Computation、Neurocomputing、Chinese Journal of Chemical Engineering、Journal of Loss Prevention in the Process Industries等国际学术期刊发表。主持国家自然科学基金青年项目1项，中国科协“青年托举工程”1项、上海市青年科技英才扬帆计划1项
基本信息：
所属部门：自动化系
办公地址：实验19楼1403
电子邮箱：xinjiewang@ecust.edu.cn
科研方向：
机器学习与人工智能，数据驱动的进化优化，神经可塑性的计算建模
代表性论文：
1. Xinjie Wang, Yaochu Jin*, Kuangrong Hao. Evolving local plasticity rules for synergistic learning in echo state networks. IEEE Transactions on Neural Networks and Learning Systems, 31(4): 1363-1374, Apr. 2020.
2. Xinjie Wang, Yaochu Jin*, Kuangrong Hao. Computational modeling of structural synaptic plasticity in echo state networks. IEEE Transactions on Cybernetics, 52(10): 11254-11266, Oct. 2021.
3. Xinjie Wang, Yaochu Jin*, Wenli Du*, Jun Wang. Evolving dual-threshold Bienenstock-Cooper-Munro learning rules in echo state networks. IEEE Transactions on Neural Networks and Learning Systems, Early Access Article, 2022. IF:14.255
4. Xinjie Wang, Yaochu Jin*, Kuangrong Hao. Synergies between synaptic and intrinsic plasticity in echo state networks. Neurocomputing, 432: 32-43, Apr. 2021.
5. Xinjie Wang, Yaochu Jin*, Kuangrong Hao. Echo state networks regulated by local intrinsic plasticity rules for regression. Neurocomputing, 351: 111-122, Jul. 2019.
6. Xinjie Wang, Yaochu Jin, Kuangrong Hao. A Gated Recurrent Unit based Echo State Network. 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, Jun. 2020.
7. Huijing Yu, Xinjie Wang*, Feifei Shen, Jian Long, Wenli Du*. Novel automatic model construction method for the rapid characterization of petroleum properties from near-infrared spectroscopy, Fuel, 316: 123101, Feb. 2022.
8. Zhongmei Li, Xinjie Wang*, Wenli Du*, Minglei Yang, Zhi Li, Peizhi Liao. Data-driven adaptive predictive control of hydrocracking process using a covariance matrix adaption evolution strategy. Control Engineering Practice, 125: 105222, Aug. 2022.
9. Majun Lian, Xinjie Wang*, Wenli Du*. Integrated multi-similarity fusion and heterogeneous graph inference for drug-target interaction prediction. Neurocomputing, 500: 1-12, Aug. 2022.
10. Majun Lian, Xinjie Wang, Wenli Du*. Drug-target interactions prediction based on network topology feature representation embedded deep forest. Neurocomputing, 126509, Jun. 2023.
11. Majun Lian, Wenli Du*, Xinjie Wang*, Qian Yao. Drug-Target Interaction Prediction Based on Multi-Similarity Fusion and Sparse Dual-Graph Regularized Matrix Factorization. IEEE Access, 9: 99718-99730, Jul. 2021.
12. Yuqiang Li, Xinjie Wang, Huijing Yu, Wenli Du*. Pattern-coupled baseline correction method for near-infrared spectroscopy multivariate modeling. IEEE Transactions on Instrumentation and Measurement, 72: 1003609, Apr. 2023.
13. Huijing Yu, Yuqiang Li, Wenli Du*, Minglei Yang, Xin Peng, Xinjie Wang, Jian Long.A novel interpretable ensemble learning method for NIRbased rapid characterization of petroleum products. IEEE Transactions on Instrumentation and Measurement, 2023 (accepted).
14. Kaihao Fu, Xinjie Wang, Ping Li, Chenxi Cao*, Wenli Du. Hierarchical numbering-up of modular reactors: A multi-objective optimization approach. Chemical Engineering Journal, 449: 137781, Dec. 2022.
15. Dong Han, Wenli Du*, Xinjie Wang, Wei Du. A surrogate-assisted evolutionary algorithm for expensive many-objective optimization in the refining process, Swarm and Evolutionary Computation, 69: 100988, Mar. 2022.
16. Ting Wang, Zhencheng Ye, Xinjie Wang, Zhongmei Li*, Wenli Du*. Improved distributed optimization algorithm and its application in energy saving of ethylene plant, Chemical Engineering Science, 251: 117449, Apr. 2022.
17. Kaihao Fu, Xinjie Wang, Ping Li, Chenxi Cao*, Wenli Du. Multi-objective design optimization of microreactor arrays for distributed renewable energy conversion: a case study, AIChE Journal, 2023 (accepted).
18. Qian Yao, Yu Zhang, Xinjie Wang, Zhou Tian, Guihua Hu, Wenli Du*. Investigation of NOx emission under different burner structures with the optimized combustion model. Neurocomputing, 482: 224-235, Apr. 2022.
19. Shikuan Chen, Wenli Du*, Xin Peng, Chenxi Cao, Xinjie Wang, Bing Wang. Peripheric sensors-based leaking source tracking in a chemical industrial park with complex obstacles, Journal of Loss Prevention in the Process Industries, 78: 104828, Aug. 2022.
20. Jikai Dong, Bing Wang*, Xinjie Wang, Chenxi Cao, Shikuan Chen, Wenli Du*. Optimization of sensor deployment sequences for hazardous gas leakage monitoring and source term estimation. Chinese Journal of Chemical Engineering, 56: 169-179, Aug. 2023.
21. Yuqiang Li, Xinjie Wang, Jingran Luan, Wenli Du*. Adaptive incremental learning stochastic configuration network and its NIR modeling application. 42nd Chinese Control Conference, Jul. 2023.
22. Majun Lian, Xinjie Wang, Wenli Du. Drug repositioning based on heterogeneous graph inference with multi-view similarity fusion for COVID-19 candidate. Process System Engineering. 2022.