Selected Publications

2025
  1. Xiaoou Li, Yingqin Zhu, and Wen Yu. Data-driven structural health monitoring through echo state network regression. Information, 16(8):678, 2025.
  2. Yi Feng, Yating Lin, Zhile Yang, Yunlang Xu, Di Li, Xiaoou Li, and Dongsheng Yang. A two-stage individual feedback nsga-iii for dynamic many-objective flexible job shop scheduling problem. IEEE Transactions on Automation Science and Engineering, 22:1673–1683, 2025.
  3. Yingqin Zhu, Wen Yu, and Xiaoou Li. A multi-objective transfer learning framework for time series forecasting with concept echo state networks. Neural Networks, 186:107272, 2025.
  4. Xiaoou Li and Wen Yu. Data-driven multiple arima through neural fusion for enhanced wind power prediction with missing data. IEEE Access, 13:142117–142128, 2025.
2024
  1. Xiaoou Li. Time series forecasting with missing data using generative adversarial networks and bayesian inference. Information, 15(4):222, 2024.
  2. Ivan Hernandez, Wen Yu, and Xiaoou Li. Optimal pd control using conditional gan and bayesian inference. IEEE Access, 12:48255–48265, 2024.
  3. Xiaoou Li and Yingqin Zhu. Neural networks with transfer learning and frequency decomposition for wind speed prediction with missing data. Mathematics, 12(8):1137, 2024.
2023
  1. Abigail María Elena Ramírez-Mendoza, Wen Yu, and Xiaoou Li. A new spike membership function for the recognition and processing of spatiotemporal spike patterns. Mathematics, 11(11):2525, 2023.
2021
  1. Yao Li, Huiyuan Cui, Huilin Liu, and Xiaoou Li. Triple-layer attention mechanism-based network embedding approach for anchor link identification. Neural Computing and Applications, 34(4):2811–2829, 2021.
  2. Wen Yu, Jesus Gonzalez, and Xiaoou Li. Fast training of deep LSTM networks with guaranteed stability. Neurocomputing, 422:85–94, 2021.
  3. Edgar Estrada, Wen Yu, and Xiaoou Li. Stable bilateral teleoperation with phase transition and haptic feedback. Journal of the Franklin Institute, 358(3):1940–1956, 2021.
  4. Chuqiao Xu, Junliang Wang, Jie Zhang, and Xiaoou Li. Anomaly detection of power consumption in yarn spinning. Computers & Industrial Engineering, 152:107015, 2021.
  5. Erick García López, Wen Yu, and Xiaoou Li. Optimum design of a parallel robot using neuro-genetic algorithm. Journal of Mechanical Science and Technology, 35(1):293–305, 2021.
  6. Jian Pan, Congbo Li, Ying Tang, Wei Li, and Xiaoou Li. Energy consumption prediction of a CNC machining process with incomplete data. IEEE/CAA Journal of Automatica Sinica, 8(5):987–1000, 2021.
  7. Abigail María Elena Ramírez-Mendoza, Wen Yu, and Xiaoou Li. Fuzzy identification of systems based on adaptive neurons. Journal of Intelligent & Fuzzy Systems, 40(6):10767–10779, 2021.
  8. Adolfo Perrusquía, Wen Yu, and Xiaoou Li. Nonlinear control using human behavior learning. Information Sciences, 569:358–375, 2021.
2020
  1. Abigail M. E. Ramirez-Mendoza, Wen Yu, and Xiaoou Li. A novel fuzzy system with adaptive neurons for earthquake modeling. IEEE Access, 8:101369–101376, 2020.
  2. Junliang Wang, Chuqiao Xu, Zhengliang Yang, Jie Zhang, and Xiaoou Li. Deformable convolutional networks for wafer defect pattern recognition. IEEE Transactions on Semiconductor Manufacturing, 33(4):587–596, 2020.
  3. Adolfo Perrusquía, Wen Yu, and Xiaoou Li. Multi-agent reinforcement learning for redundant robot control in task-space. International Journal of Machine Learning and Cybernetics, 12(1):231–241, 2020.
2019
  1. Edgar Estrada, Wen Yu, and Xiaoou Li. Stability and transparency of delayed bilateral teleoperation with haptic feedback. International Journal of Applied Mathematics and Computer Science, 29(4):681–692, 2019.
2018
  1. Satyam Paul, Wen Yu, and Xiaoou Li. Discrete-time sliding mode for building structure vibration control. Transactions of the Institute of Measurement and Control, 41(2):433–446, 2018.
  2. Satyam Paul, Wen Yu, and Xiaoou Li. Bidirectional active control of structures with type-2 fuzzy PD and PID. International Journal of Systems Science, 49(4):766–782, 2018.
  3. Raheleh Jafari, Wen Yu, and Xiaoou Li. Numerical solution of fuzzy equations with z-numbers using neural networks. Intelligent Automation and Soft Computing, 24(1):151–158, 2018.
2017
  1. Raheleh Jafari, Wen Yu, Xiaoou Li, and Sina Razvarz. Numerical solution of fuzzy differential equations with z-numbers. International Journal of Computational Intelligence Systems, 10(1):1226, 2017.
  2. Raheleh Jafari, Wen Yu, and Xiaoou Li. Fuzzy differential equations for nonlinear system modeling. IEEE Access, 4:9428–9436, 2017.
  3. Lisbeth Rodríguez-Mazahua, et al. Active rule base development for dynamic vertical partitioning of databases. Journal of Intelligent Information Systems, 48(2):421–451, 2017.
2016
  1. Xiaoou Li, Wen Yu, and Salvador Villegas. Structural health monitoring of building structures with online data mining. IEEE Systems Journal, 10(3):1291–1300, 2016.
  2. Javier Garrido, Wen Yu, and Xiaoou Li. Robot trajectory generation using modified hidden markov models. Engineering Applications of Artificial Intelligence, 53:32–40, 2016.
  3. Satyam Paul, Wen Yu, and Xiaoou Li. Recent advances in bidirectional modeling and structural control. Shock and Vibration, 2016:1–17, 2016.
  4. Javier Garrido, Wen Yu, and Xiaoou Li. Modular design and control of an upper limb exoskeleton. Journal of Mechanical Science and Technology, 30(5):2265–2271, 2016.
2015
  1. Carlos Parga, Wen Yu, and Xiaoou Li. A low-cost ball and plate system for advanced control education. The International Journal of Electrical Engineering & Education, 52(4):370–384, 2015.
2014
  1. Asdrúbal López Chau, Xiaoou Li, and Wen Yu. Support vector machine classification for large datasets using decision tree and fisher linear discriminant. Future Generation Computer Systems, 36:57–65, 2014.
  2. Jair Cervantes, Xiaoou Li, and Wen Yu. Imbalanced data classification via support vector machines and genetic algorithms. Connection Science, 26(4):335–348, 2014.
  3. Xiaoou Li and Wen Yu. Fast support vector machine classification for large data sets. International Journal of Computational Intelligence Systems, 7(2):197, 2014.
2013
  1. Xiaoou Li, Wen Yu, and Xiaoli Li. On-line modeling via fuzzy support vector machines and neural networks. Journal of Intelligent & Fuzzy Systems, 24(3):665–675, 2013.
  2. Asdrúbal López Chau, Xiaoou Li, and Wen Yu. Convex and concave hulls for classification with support vector machine. Neurocomputing, 122:198–209, 2013.
  3. Wen Yu, Xiaoou Li, and Roberto Carmona. A novel PID tuning method for robot control. Industrial Robot: An International Journal, 40(6):574–582, 2013.
  4. Wen Yu, Xiaoou Li, and Francisco Panuncio. Stable neural pid anti-swing control for an overhead crane. Intelligent Automation & Soft Computing, 20(2):145–158, 2013.
2012
  1. Asdrúbal López Chau, Xiaoou Li, and Wen Yu. Large data sets classification using convex–concave hull and support vector machine. Soft Computing, 17(5):793–804, 2012.
  2. Xiaoou Li, Jair Cervantes, and Wen Yu. Fast classification for large data sets via random selection clustering and support vector machines. Intelligent Data Analysis, 16(6):897–914, 2012.
  3. Suresh Thenozhi, Wen Yu, Asdrúbal López Chau, and Xiaoou Li. Structural health monitoring of tall buildings with numerical integrator. Mathematical Problems in Engineering, 2012:1–15, 2012.
  4. Xiaoou Li and Wen Yu. Anti-swing control for an overhead crane with fuzzy compensation. Intelligent Automation & Soft Computing, 18(1):1–11, 2012.
2011
  1. Wen Yu, Panuncio Cruz Francisco, and Xiaoou Li. Two-stage neural sliding-mode control of magnetic levitation. Neural Computing and Applications, 20(8):1141–1147, 2011.
  2. Wen Yu, Kang Li, and Xiaoou Li. Automated nonlinear system modelling with multiple neural networks. International Journal of Systems Science, 42(10):1683–1695, 2011.
2010
  1. WEN YU and XIAOOU LI. AUTOMATED NONLINEAR SYSTEM MODELING WITH MULTIPLE FUZZY NEURAL NETWORKS. International Journal of Neural Systems, 20(05):429–435, 2010.
  2. Xiaoou Li and Wen Yu. Synchronization of ball and beam systems with neural compensation. International Journal of Control, Automation and Systems, 8(3):491–496, 2010.
2009
  1. Wen Yu and Xiaoou Li. Online fuzzy modeling with structure and parameter learning. Expert Systems with Applications, 36(4):7484–7492, 2009.
2008
  1. Jair Cervantes, Xiaoou Li, Wen Yu, and Kang Li. Support vector machine classification via minimum enclosing ball clustering. Neurocomputing, 71(4-6):611–619, 2008.
  2. Wen Yu and Xiaoou Li. On-line fuzzy modeling via clustering and support vector machines. Information Sciences, 178(22):4264–4279, 2008.
2007
  1. Wen Yu and Xiaoou Li. Passivity analysis of dynamic neural networks with different time-scales. Neural Processing Letters, 25(2):143–155, 2007.
  2. Xiaoou Li, Joselito M. Medina, and Sergio V. Chapa. Applying petri nets in active database systems. IEEE Transactions on Systems, Man and Cybernetics, Part C, 37(4):482–493, 2007.
2004
  1. W. Yu and X. Li. Fuzzy identification using fuzzy neural networks with stable learning algorithms. IEEE Transactions on Fuzzy Systems, 12(3):411–420, 2004.
2003
  1. W. Yu and X. Li. Discrete-time neuro identification without robust modification. IEE Proceedings - Control Theory and Applications, 150(3):311–316, 2003.
2002
  1. Xiaoou Li and Wen Yu. Dynamic system identification via recurrent multilayer perceptrons. Information Sciences, 147(1-4):45–63, 2002.
  2. Xianping Guo, Wen Yu, and Xiaoou Li. Minimax control for discrete-time time-varying stochastic systems. Automatica, 38(11):1991–1998, 2002.
2001
  1. Wen Yu and Xiaoou Li. Some stability properties of dynamic neural networks. IEEE Transactions on Circuits and Systems I, 48(2):256–259, 2001.
  2. Wen Yu, Alexander S. Poznyak, and Xiaoou Li. Multilayer dynamic neural networks for non-linear system identification. International Journal of Control, 74(18):1858–1864, 2001.
  3. Wen Yu and Xiaoou Li. Some new results on system identification with dynamic neural networks. IEEE Transactions on Neural Networks, 12(2):412–417, 2001.
2000
  1. W. Yu, X. Li, and M.A. Moreno. Observer-based neuro identifier. IEE Proceedings - Control Theory and Applications, 147(2):145–152, 2000.
  2. Xiaoou Li, Wen Yu, and F. Lara-Rosano. Dynamic knowledge inference and learning under adaptive fuzzy petri net framework. IEEE Transactions on Systems, Man and Cybernetics, Part C, 30(4):442–450, 2000.
  3. X. Li and F. Lara-Rosano. Adaptive fuzzy petri nets for dynamic knowledge representation and inference. Expert Systems with Applications, 19(3):235–241, 2000.