王衛苹檢視原始碼討論檢視歷史
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王衛苹，女，北京科技大學順德創新學院教授。
人物簡歷
2012.9—2015.7 北京郵電大學 博士
2015.9—2017.7 北京科技大學 博士後
2018.3—2019.3 德國洪堡大學 訪問學者
2015.7—2021.7 北京科技大學 副教授
2021.7—至今 北京科技大學 教授
社會任職
北京科技大學發展規劃處掛職副處長，計算機系科研主任，德國洪堡大學高級訪問學者。北京物聯網學會理事，北京物聯網學會青年委員會秘書長，北京圖象圖形學學會女科技工作者委員會秘書長，中國自動化學會智能自動化專業委員會委員，中國神經科學學會類腦分會專委會委員。智能系統學報客座編輯，MMR期刊以及Brain-X科學編輯。IEEE Transactions on Neural Networks and Learning System、IEEE Transactions on Cybernectics、Neural Networks等知名國際SCI期刊審稿專家。
研究方向
類腦計算， 腦認知機理，醫工交叉， 主動健康， 人工智能， 工控網絡安全， 網絡信息安全
學術成果
[1] M. Yuan, W. Wang*, Z. Wang, X. Luo. Exponential synchronization of delayed memristor-based uncertain complex-valued neural networks for image protection[J]. IEEE Transactions on Neural Networks and Learning Systems. 2020.DOI：10.1109/TNNLS.2020.2977614.
[2] W. Wang*, C. He, Z. Wang, X. Mo, K.Tian, D. Fan, X. Luo, M. Yuan, J. Kurths. Dynamic analysis of disease progression in Alzheimer's Disease under the influence of hybrid synapse and spatially correlated noise[J]. Neurocomputing, 2021, 456: 23-35.
[3] W. Wang*, C. He, Z. Wang, D. Fan, M. Yuan, X. Luo, J. Kurths. Dynamic analysis of synaptic loss and synaptic compensation in the process of associative memory ability decline in Alzheimer's Disease[J]. Applied Mathematics and Computation, 2021, 408: 126372.
[4] Wang W, Sun Y, Yuan M, et al. Projective synchronization of memristive multidirectional associative memory neural networks via self-triggered impulsive control and its application to image protection[J]. Chaos, Solitons & Fractals, 2021, 150: 111110.
[5] Wang W, Wang Z, Zhou Z, et al. Anomaly detection of industrial control systems based on transfer learning[J]. Tsinghua Science and Technology, 2021, 26(6): 821-832.
[6] Wang W, Le J, Wang Z, Luo X, Kurths J,Yuan M, and Ma Y. Event-Triggered Consensus Control for High-Speed Train With Time-Varying Actuator Fault[J]. IEEE Access, 2020, 8: 50553-50564.
[7] Wang W , Han B , Guo Y , et al. Fault-tolerant platoon control of autonomous vehicles based on event-triggered control strategy[J]. IEEE Access, 2020, PP(99):1-1.
[8] W. Wang, X. Jia, X. Luo, J. Kurths, M. Yuan. Fixed-time Synchronization Control of Memristive MAM Neural Networks With Mixed Delays and Application in Chaotic Secure Communication, Chaos Solitons & Fractals, 2019, 126, 85-96.
[9] W. Wang, X. Wang, X. Luo, M. Yuan. Finite-time Projective Synchronization of Memristor-based BAM Neural Networks and Applications in Image Encryption[J], IEEE ACCESS, 2018, 6: 56457-56476.
[10] W. Wang, X. Yu, X. Luo, Jürgen Kurths. Synchronization Control of Memristive Multidirectional Associative Memory Neural Networks And Applications in Network Security Communication[J]. IEEE Access, 2018, 6: 36002-36018.
[11] W. Wang, X. Yu, X. Luo, et al. Finite-time Synchronization of Chaotic Memristive Multidirectional Associative Memory Neural Networks And Applications in Image Encryption[J]. IEEE Access, 2018:35764-35779.
[12] W. Wang, L. Li, H. Peng, J. Kurths, J. Xiao, Y. Yang. Anti-synchronization of coupled memristive neutral-type neural networks with mixed time-varying delays and stochastic perturbations via randomly occurring control[J]. Nonlinear Dynamics, 2016, 83:2143-2155.
[13] Wang W, Jia X, Wang Z, et al. Fixed-time synchronization of fractional order memristive MAM neural networks by sliding mode control[J]. Neurocomputing, 2020, 401: 364-376.
[14] Wang, W., Wang, C., Guo, Y., Luo, X., & Gao, Y. (2020). Self-triggered Consensus of Vehicle Platoon System with Time-varying Topology. Frontiers in Neurorobotics, 14, 53.
[15] W. Wang, X. Yu, X. Luo, L. Wang, L. Li, Jürgen Kurths, W. Zhao, J. Xiao. The Stability of Memristive Multidirectional Associative Memory Neural Networks With Time-varying Delays in the Leakage Terms via Sampled-data Control[J]. Plos One, 2018, 13(9):e0204002.
[16] W. Wang, M. Yu, X. Luo, L. Liu, M. Yuan, W. Zhao. Synchronization of memristive BAM neural networks with leakage delay and additive time-varying delay components via sampled-data control[J]. Chaos, Solitons & Fractals. 2017, 104: 84-97.
[17] M. Yuan, W. Wang, X. Luo, et al. Finite-time anti-synchronization of memristive stochastic BAM neural networks with probabilistic time-varying delays[J]. Chaos Solitons & Fractals, 2018, 113:244-260.
[18] W Wang，C Wang，Y Guo，M Yuan，Y Gao. Industrial Control Malicious Traffic Anomaly Detection System Based on Deep Autoencoder.Frontiers in Energy Research, 2021, 8: 380.
[19] W. Wang, X. Yu, X. Luo, L. Li. Stability Analysis of Memristive Multidirectional Associative Memory Neural Networks and Applications in Information Storage[J]. Modern Physics Letters B, 2018, 32(18):1-28.
[20] W. Wang, M. Wang, X. Luo, et al. Passivity of memristive BAM neural networks with leakage and additive time-varying delays[J]. Modern Physics Letters B, 104(1):84-97.
[21] W. Wang, M. Yuan, X. Luo, et al. Anti-synchronization control of BAM memristive neural networks with multiple proportional delays and stochastic perturbations[J]. Modern Physics Letters B, 2018, 32(3):1850028
[22] Wang, W., Wang, M., Luo, X., Li, L., & Zhao, W. (2018). Passivity of memristive BAM neural networks with probabilistic and mixed time-varying delays. Mathematical Problems in Engineering, 2018 . DOI:10.1155/2018/5830160
[23] Guo Y , Han B , Wang W , et al. State Estimation and Event-Triggered Control for Cyber-Physical Systems under Malicious Attack[J]. Mathematical Problems in Engineering, 2019, 2019(8):1-10.
[24] M. Yuan, W. Wang, X. Luo, L. Li. Asymptotic Anti-synchronization of Memristor-based BAM Neural Networks with Probabilistic Mixed Time-varying Delays and Its Application [J]. Modern Physics Letters B, 2018, 32(24): 1850287.
[25] M. Yu, W. Wang, M. Yuan, et al. Exponential Antisynchronization Control of Stochastic Memristive Neural Networks with Mixed Time-Varying Delays Based on Novel Delay-Dependent or Delay-Independent Adaptive Controller[J]. Mathematical Problems in Engineering,2017. DOI: 10.1155/2017/8314757
[26] X. Luo, X. Yang, W. Wang, X. Chang, X. Wang, Z. Zhao. A novel hidden danger prediction method in cloud-based intelligent industrial production management using timeliness managing extreme learning machine[J]. China Communications, 2016, 13(7): 74-82.
[27] M. Yuan, W. Wang, X. Luo, et al. Synchronization of a Class of Memristive Stochastic Bidirectional Associative Memory Neural Networks with Mixed Time-Varying Delays via Sampled-Data Control[J]. Mathematical Problems in Engineering, 2018：1-24.
[28] Zhao, H., Zheng, M., Li, S., & Wang, W. (2018). New results on finite-time parameter identification and synchronization of uncertain complex dynamical networks with perturbation. Modern Physics Letters B, 32(09), 1850112.
[29] M. Yuan, W. Wang, X. Luo, Lixiang Li, Jürgen Kurths. Exponential Lag Function Projective Synchronization of Memriive Memory Neural Networks via Hybrid Control [J]. Modern Physics Letters B, 2018, 32(9):1850116.
[30] Weiping Wang, Chunyang Wang, Zhen Wang, Baijing Han, Chang He, Jun Cheng, Xiong Luo, Manman Yuan, Jürgen Kurths. Nonlinear consensus-based autonomous vehicle platoon control under event-triggered strategy in the presence of time delays[J]. Applied Mathematics and Computation, 2021, 404: 126246.
[31] M. Chen, Y. Li, X. Luo, W. Wang, L. Wang, W. Zhao. A Novel Human Activity Recognition Scheme for Smart Health Using Multilayer Extreme Learning Machine. IEEE Internet of Things Journal, 2018, 6(2):1410 - 1418.
[32] X. Luo, J. Sun, L. Wang, W. Wang*, W. Zhao, J. Wu, J. Wang. Short-Term Wind Speed Forecasting via Stacked Extreme Learning Machine With Generalized Correntropy, IEEE Transactions on Industrial Informatics, 2018, 14(11): 4963-4971.
[33] X. Luo, Y. Xu, W. Wang, M. Yuan, X. Ban, Y. Zhu, W. Zhao. Towards enhancing stacked extreme learning machine with sparse autoencoder by correntropy[J]. Journal of The Franklin Institute, 2018, 355(4): 1945-1966.
[34] X. Luo, C. Jiang, W. Wang*, Y. Xu, J. Wang, W. Zhao. User behavior prediction in social networks using weighted extreme learning machine with distribution optimization. Future Generation Computer Systems, 2019, 93:1023-1035.
[35] X. Luo, W. Zhou, W. Wang*, Y. Zhu, J. Deng. Attention-Based Relation Extraction with Bidirectional Gated Recurrent Unit and Highway Network in The Analysis of Geological Data. IEEE Access, 2018,6(1):5705 - 5715.
[36] X. Luo, J. Liu, D. Zhang, W. Wang, Y. Zhu. An Entropy-Based Kernel Learning Scheme toward Efficient Data Prediction in Cloud-Assisted Network Environments[J]. Entropy, 2016, 18:1-18.
[37] W. Wang, L. Li, H. Peng, J. Kurths, J. Xiao, Y. Yang. Finite-time anti-synchronization control of memristive neural networks with stochastic perturbations[J]. Neural Processing letters, 2016, 43:49-63.
[38] W. Wang, L. Li, H. Peng, J. Kurths, J. Xiao, Y. Yang. Anti-synchronization control of memristive neural networks with multiple proportional delays[J]. Neural Processing letters, 2016, 43:269-283.
[39] Y. Guo, Y. Luo, W. Wang, X. Luo, C. Ge, J. Kurths, M. Yuan, Y. Gao. Fixed-Time Synchronization of Complex-Valued Memristive BAM Neural Network and Applications in Image Encryption and Decryption[J], International Journal of Control, Automation and Systems, 2019:1-15.
[40] M. Yuan, X. Luo, W. Wang, et al. Pinning Synchronization of Coupled Memristive Recurrent Neural Networks with Mixed Time-Varying Delays and Perturbations[J]. Neural Processing Letters, 2018:1-24.
[41] Y. Xu, X. Luo, W. Wang, W. Zhao. Efficient DV-HOP localization for wireless cyber-physical social sensing system: A correntropy-based neural network learning scheme[J]. Sensors, 2017, 17(1):1-17.
[42] X. Luo, J. Deng, J. Liu, W. Wang, X. Ban, J. Wang. A quantized kernel least mean square scheme with entropy-guided learning for intelligent data analysis.[J] China Communations, 2017, 14(7): 127-136.
[43] X. Luo, J. Deng, W. Wang, J. Wang, W. Zhao. A quantized kernel learning algorithm using a minimum kernel risk-sensitive loss criterion and bilateral gradient technique[J]. Entropy, 2017, 19(7):1-15
[44] X. Luo, Y. Lv, M. Zhou, W. Wang, W. Zhao. A laguerre neural network-based ADP learning scheme with its application to tracking control in the Internet of Things[J]. Pers Ubiquit Comput, 2016, 20:361-372.
[45] M. Yu, W. Wang, M. Yuan, X. Luo, L. Liu. Exponential antisynchronization control of stochastic memristive neural networks with mixed time-varying delays based on novel delay-dependent or delay-independent adaptive controller[J]. Mathematical Problems in Engineering, 2017, 2017:1-16.
[46] Ping Y, Song W, Zhang Z, Wang W, Wang B. A Multi-Keyword Searchable Encryption Scheme Based on Probability Trapdoor over Encryption Cloud Data[J]. Information, 2020, 11(8): 394.
科研項目
1. 2017.6-2020.12
科技部國家重點研發計劃子課題
題目：基於高通量實驗和計算的材料結構-性能數據採集與數據庫融合技術
2. 2022.1-2024.12
國家自然科學基金面上項目，62271045
題目：跨模態多尺度AD腦網絡機制分析及早期預警和個性化腦功能重塑研究
3. 2020.1-2022.12
國家自然科學基金中俄地區合作國際聯合基金，81961138010
題目：基於網絡分析的人腦精神類疾病整合動力學研究
4. 2019.1-2021.12
國家自然科學基金，U1836106
題目：深度強化學習框架下基於序列分析的工控系統惡意軟件識別及預警技術研究
5. 2021.9-2022.9
人工智能與材料專業交叉項目
題目：基於生成式對抗網絡的新型析氧反應電催化劑
6. 2016.4-2017.4
博士後基金面上項目
題目：憶阻神經網絡在聯想記憶應用中的關鍵基礎理論研究
7. 2017.01-2019.12
國家自然科學青年基金，61603032
題目：具有聯想記憶的憶阻神經網絡穩定性分析及應用研究，
8. 2022.1-2024.1
北醫三院創新轉化基金，BYSYZHKC2021107
題目：阿爾茨海默病早期篩查預警系統研發
9. 2021.9-2023.9
佛山市科技創新專項資金項目，BK211603
題目：數據驅動的阿爾茨海默病早期預測與干預控制研究
獲獎情況
獲得軟著與專利10餘項獲
得河南省科技進步二等獎
中國通信學會最佳論文獎[1]