近期论文
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2019
[1] Zhijun Zhang, Tao Chen, Min Wang and Lunan Zheng, “An Exponential-Type Anti-noise Varying-Gain Network for Solving Disturbed Time-varying Inversion Systems,” IEEE Transactions on Neural Networks and Learning Systems, 2019. (中科院1区，JCR1区, IF: 7.982).
[2] Zhijun Zhang, Xianzhi Deng, Lingdong Kong, Shuai Li, “A Circadian Rhythms Learning Network for Resisting Cognitive Periodic Noises of Time-Varying Dynamic System and Applications to Robots,” IEEE Transactions on Cognitive and Developmental Systems, 2019.(中科院3区，JCR2区，IF: 2.755)
[3] Zhijun Zhang, Lunan Zheng, Tairu Qiu, “Varying-Parameter Convergent-Differential Neural Solution to Time-Varying Overdermined System of Linear Equations,” IEEE Transactions on Automatic Control, 2019. (中科院2区，JCR 1区)
[4] Zhijun Zhang, Ziyi Yan, “An Adaptive Fuzzy Recurrent Neural Network for Solving Non-repetitive Motion Problem of Redundant Robot Manipulators,” IEEE Transactions on Fuzzy Systems, 2019. (中科院1区，JCR 1区)
[5] Zhijun Zhang, Siyuan Chen, and Xupeng Zhu, “Two Hybrid Multi-objective Motion Planning Schemes Synthesized by Recurrent Neural Networks for Wheeled Mobile Robot Manipulators,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019. (中科院2区，JCR 1区)
[6] Zhijun Zhang, Siyuan Chen, and Jinhua Xie, “Two Hybrid End-Effector Posture-Maintaining and Obstacle-Limits Avoidance Scheme for Redundant Robot Manipulator,” IEEE Transactions on Industrial Informatics, 2019. (中科院1区，JCR 1区)
[7] Zhijun Zhang, Xiaolu Yang, Xianzhi Deng, Lingao Li, “A varying-gain recurrent neural-network with super exponential convergence rate for solving nonlinear time-varying systems” Neurocomputing, vol. 351, pp. 10-18, 2019. (中科院2区，JCR 1区)
[8] Zhijun Zhang, Lunan Zheng, Min Wang, “An exponential-enhanced-type varying-parameter RNN for solving time-varying matrix inversion” Neurocomputing, vol. 338, pp. 126-138, 2019. (中科院2区，JCR 1区)
[9] Zheng, Lunan, Zhijun Zhang*, “Convergence and Robustness Analysis of Novel Adaptive Multilayer Neural Dynamics-Based Controllers of Multirotor UAVs,” IEEE Transactions on Cybernetics, 2019. (中科院1区，JCR 1区)
[10] Xiao Lin, Li Kenli, Tan Zhiguo, Zhang Zhijun, Liao Bolin, Chen Ke, Jin Long, Li Shuai, “Nonlinear gradient neural network for solving system of linear equations,” Information Processing Letters, vol. 27, pp. 35-40, 2019. (中科院4区，JCR 2区, 被引次数：3，他引次数：2)
Before 2018
[1] Zhijun Zhang, Yeyun Lu, Lunan Zheng, Shuai Li, Zhuliang Yu, and Yuanqing Li, “A New Varying-Parameter Convergent-Differential Neural-Network for Solving Time-Varying Convex QP Problem Constrained by Linear-Equality,” IEEE Transactions on Automatic Control, vol. 63, no. 12, pp. 4110-4125, 2018. (中科院2区，JCR 1区，IF: 5.007 , 被引次数：11，他引次数：7)
[2] Zhijun Zhang and Lunan Zheng, “A Complex Varying-Parameter Convergent-Differential Neural-Network for Solving Online Time-Varying Complex Sylvester Equation,” IEEE Transactions on Cybernetics, vol. 49, no. 10, pp. 3627 - 3639, 2019. (中科院1区，JCR1区, IF: 8.803, 被引次数：4，他引次数: 4).
[3] Zhijun Zhang, Lingdong Kong and Lunan Zheng, “Power-Type Varying-Parameter RNN for Solving TVQP Problems: Design, Analysis, and Applications,” IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 8, pp. 2419 - 2433, 2019. (中科院1区，JCR1区, IF: 7.982).
[4] Zhijun Zhang, Lingdong Kong, Lunan Zheng, Pengchao Zhang, Xilong Qu, Bolin Liao, and Zhuliang Yu, “Robustness Analysis of A Power-Type Varying-Parameter Recurrent Neural Network for Solving Time-Varying QM and QP problems and Applications,” IEEE Transactions On Systems, Man, And Cybernetics: Systems, DOI: 10.1109/TSMC.2018.2866843, 2018.（中科院2区，JCR1区, IF: 5.131, 被引次数：4，他引次数: 3）
[5] Zhijun Zhang, Siyuan Chen, and Shuai Li, “Compatible Convex–Nonconvex Constrained QP-Based Dual Neural Networks for Motion Planning of Redundant Robot Manipulator,” IEEE Transactions on Control Systems Technology, vol. 27, no. 3, pp. 1250-1258, 2018.（中科院2区，JCR1区, IF: 4.883, 被引次数：3，他引次数: 3）
[6] Zhijun Zhang and Ziyi Yan, “A Varying Parameter Recurrent Neural Network for Solving Nonrepetitive Motion Problems of Redundant Robot Manipulators,” IEEE Transactions on Control Systems Technology, , vol. 27, no. 6, pp. 2680 - 2687, 2018.（中科院2区，JCR1区, IF: 4.883, 被引次数：0，他引次数: 0）
[7] Zhijun Zhang, Ziyi Yan and Tingzhong Fu, “Varying-Parameter RNN Activated by Finite-Time Functions for Solving Joint-Drift Problems of Redundant Robot Manipulators,” IEEE Transactions on Industrial Informatics, vol. 14, no. 12, pp. 5359-5367, Dec. 2018. （中科院1区，JCR1区, IF: 5.43, 被引次数：3，他引次数: 2）
[8] Zhijun Zhang, Lunan Zheng, Qi Guo, “A Varying-Parameter Convergent Neural Dynamic Controller of Multirotor UAVs for Tracking Time-Varying Tasks,” IEEE Transactions on Vehicular Technology, vol. 67, no. 6, pp. 4793 – 4805, 2018.（中科院2区，JCR1区，IF: 4.432, 被引次数：4，他引次数: 1）
[9] Zhijun Zhang, Tingzhong Fu, Ziyi Yan, Long Jin, Lin Xiao, Yuping Sun, Zhuliang Yu, and Yuanqing Li, “A Varying-Parameter Convergent-Differential Neural Network for Solving Joint-Angular-Drift Problems of Redundant Robot Manipulators,” IEEE/ASME Transactions on Mechatronics, vol. 23, no. 2, pp. 679-689, 2018.（中科院2区，JCR1区, IF: 3.936, 被引次数：13，他引次数：6）
[10] Zhijun Zhang, Lunan Zheng, Jian Weng, Yijun Mao, Wei Lu and Lin Xiao, “A New Varying-Parameter Recurrent Neural-Network for Online Solution of Time-Varying Sylvester Equation,”IEEE Transactions on Cybernetics, vol. 48, no. 11, pp. 3135 - 3148, 2018. (中科院1区，JCR1区, IF: 10.387, 被引次数：14，他引次数：4).
[11] Zhijun Zhang*, Yujun Lin ; Shuai Li ; Yuanqing Li ; Zhuliang Yu ; Yamei Luo, “Tricriteria Optimization-Coordination-Motion of Dual Redundant Robot Manipulators for Complex Path Planning,” IEEE Transactions on Control Systems Technology, vol. 26, no. 4, pp. 1345 - 1357, Jun. 2017 (中科院2区，JCR1区, IF: 4.883, 被引次数：12，他引次数：9 ).
[12] Zhijun Zhang, Lunan Zheng, Junming Yu, Yuanqing Li, Zhuliang Yu, “Three Recurrent Neural Networks and Three Numerical Methods for Solving Repetitive Motion Planning Scheme of Redundant Robot Manipulators,” IEEE/ASME Transactions on Mechatronics, vol. 22, no. 3, pp. 1423-1434, 2017. (SCI,EI, ISTP, 中科院2区，JCR1区，IF: 3.936被引次数：34，他引次数:21).
[13] Zhijun Zhang, Zhijun Li, Yunong Zhang, Yamei Luo, Yuanqing Li, “Neural-Dynamic-Method-Based Dual-Arm CMG Scheme With Time-Varying Constraints Applied to Humanoid Robots,” IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 12, pp. 3251-3262, 2015.(SCI, EI, ISTP , 中科院1区，JCR1区, IF: 7.982, 被引次数：57，他引次数:37).
[14] Zhijun Zhang, Aryel Beck and Nadia Magnenat-Thalmann, “Human-Like Behavior Generation Based on Head-Arms Model for Tracking External Targets and Body Parts,” IEEE Transactions on Cybernetics, vol. 45, no. 8, pp. 1390 – 1400, Aug. 2015 (SCI, EI, ISTP,中科院1区，JCR1区, IF: 10.387, 被引次数：40，他引次数：25)
[15] Zhijun Zhang and Yunong Zhang, “Acceleration-Level Cyclic Motion Generation of Constrained Redundant Robots Tracking Different Paths,” IEEE Transactions on Systems, Man, Cybernetics, Part B-Cybernetics, vol. 42, no. 4, pp. 1257-1269, Aug. 2012. (SCI, EI, ISTP, Q1, 中科院1区，JCR1区, IF: 6.22, 被引次数：54，他引次数:20).
[16] Zhijun Zhang and Yunong Zhang, “Variable Joint-Velocity Limits of Redundant Robot Manipulators Handled by Quadratic Programming,” IEEE/ASME Transactions on Mechatronics, vol. 18, no. 2, pp. 674-686, Apr. 2013. (SCI,EI, ISTP , Q1, 中科院1区，JCR1区，IF: 3.936，被引次数：48，他引次数：21).
[17] Zhijun Zhang, Lunan Zheng, Lingao Li, Xiaoyan Deng, Lin Xiao, and Guoshun Huang, “A New Finite-Time Varying-Parameter Convergent-Differential Neural-Network for Solving Nonlinear and Nonconvex Optimization Problems”, Neurocomputing, vol. 319, no. 30, pp. 74-83, 2018.（中科院2区，JCR1区，IF：3.241，被引次数：0，他引次数：0）
[18] Yinyan Zhang, Siyuan Chen, Shuai Li*, and Zhijun Zhang*, “Adaptive Projection Neural Network for Kinematic Control of Redundant Manipulators With Unknown Physical Parameters,” IEEE Transactions on Industrial Electronics, vol. 65, no. 6, pp. 4909 - 4920, 2018. (中科院1区，JCR1区, IF: 7.503, 被引次数：19，他引次数:12)
[19] Zhijun Zhang and Yunong Zhang, “Repetitive Motion Planning and Control on Redundant Robot Manipulators with Push-Rod-Type Joints,” ASME Trans on Journal of Dynamic Systems, Measurement and Control, vol. 135, no. 2, pp. 024502,Nov. 2012.(SCI, EI, ISTP,中科院4区，JCR3区，IF : 1.521,被引次数：7，他引次数:3).
[20] Zhijun Zhang, Xianzhi Deng, Xilong Qu, Bailin Liao, Lingdong Kong and Lulan Li, "A Varying-Gain Recurrent Neural Network and Its Application to Solving Online Time-Varying Matrix Equation," IEEE Access, vol. 6, pp. 77940-77952, 2018. (中科院2区，JCR1区，IF: 4.098).
[21] Zhijun Zhang, Yongqian Huang, Siyuan Chen, Jun Qu, Xin Pan, Tianyou Yu and Yuanqing Li*, “An Intention-Driven Semi-autonomous Intelligent Robotic System for Drinking,” Frontiers in Neurorobotics, vol. 11, pp. 1-14， 2017. (中科院大区3区，JCR 2区, IF:2.606, 被引次数：2，他引次数: 1)
[22] Zhijun Zhang, Ziyi Yan, “Hybrid-Level Joint-Drift-Free Scheme of Redundant Robot Manipulators Synthesized by A Varying-Parameter Recurrent Neural Network,” IEEE Access, vol. 6, pp. 34967-34975, June 25, 2018.（中科院2区，JCR1区，IF: 4.098，被引次数：4，他引次数: 3）
[23] Zhijun Zhang, Zheng Fu, Lunan Zheng, and Min Gan, “Convergence and Robustness Analysis of the Exponential-Type Varying Gain Recurrent Neural Network for Solving Matrix-Type Linear Time-Varying Equation,” IEEE Access, vol. 6, pp. 57160 – 57171, 2018. （中科院2区，JCR1区，IF: 4.098, 被引次数：3，他引次数: 3）
[24] Zhijun Zhang and Yunong Zhang, “Equivalence of Different-level Schemes for Repetitive Motion Planning of Redundant Robots,”Acta Automatica Sinica, vol. 39, no. 1, pp. 88-91, Jan. 2013.(EI, 被引次数：14，他引次数: 4).
[25] Zhijun Zhang and Yunong Zhang, “Design and Experimentation of Acceleration-Level Drift-Free (ALDF) Scheme Solved by Two Recurrent Neural Networks,” IET Control Theory & Applications, vol. 7, no. 1, pp. 25-42, March 2013. (SCI, EI, ISTP, Q3, 中科院3区, JCR2区,IF：3.296，被引次数：39，他引次数: 14).
[26] Nan Zhong, Xuanzong Li, Ziyi Yan, and Zhijun Zhang*, “A Neural Control Architecture for Joint-Drift-Free and Fault-Tolerant Redundant Robot Manipulator,” IEEE Access, vol. 6, pp. 66178-66187, 2018. （中科院2区，JCR1区，IF: 4.098，被引次数：0，他引次数: 0）
[27] Zhijun Zhang, Qiongyi Zhou, and Weisen Fan, “Neural-Dynamic Based Synchronous-Optimization Scheme of Dual Redundant Robot Manipulators,” Frontiers in Neurorobotics, vol. 12, no. 73, 2018.（中科院大区3区，JCR 2区, IF:2.606, 被引次数：0，他引次数: 0）
[28] Xiao Lin, Zhang Zhijun, Zhang Zili, Li Weibing, Li Shuai, “Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation” Neural Networks, vol. 105, pp. 185-196, 2018. （中科院1区，JCR1区，被引次数：13，他引次数: 2）
[29] Zhang Yunong, Wang Ying, Li Weibing, Chou Yao, Zhang Zhijun, “WASD algorithm with pruning-while-growing and twice-pruning techniques for multi-input euler polynomial neural network” International Journal on Artificial Intelligence Tools, vol. 25, no. 2, 2016（中科院4区，JCR4区，被引次数：1，他引次数: 0）
[30] Zhang Yunong, Yu Xiaotian, Guo Dongsheng, Yin Yonghua, Zhang Zhijun, “Weights and structure determination of multiple-input feedforward neural network activated by Chebyshev polynomials of Class 2 via cross-validation” Neural Computing and Applications, vol. 25, no. 7, pp. 1761-1770, 2014. （中科院2区，JCR2区，被引次数：15，他引次数: 8）
[31] Lin Xiao, Yongsheng Zhang, Bolin Liao, Zhijun Zhang, Lei Ding, and Long Jin, “A Velocity-Level Bi-Criteria Optimization Scheme for Coordinated Path Tracking of Dual Robot Manipulators Using Recurrent Neural Network.” Frontiers in Neurorobotics, vol. 11, no. 47, 2017.（中科院3区，JCR2区, IF:2.606, 被引次数：7，他引次数: 4）
[32] Lin Xiao, Bolin Liao, Shuai Li, Zhijun Zhang, Lei Ding, and Long Jin, “Design and Analysis of FTZNN Applied to the Real-Time Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator.” IEEE Transactions on Industrial Informatics, vol. 14, no. 1, pp. 98-105, Jan. 2018.（中科院1区，JCR1区, IF：5.43，被引次数：50，他引次数:15）
[33] Long Jin, Shuai Li, and Zhijun Zhang, “Zeroing neural networks: A survey,” Neurocomputing, vol. 267, pp. 597-604, 2017.（中科院2区，JCR1区，IF：3.241, 被引次数：29，他引次数:13）
[34] Long Jin, Shuai Li, Huanqing Wang, and Zhijun Zhang, “Nonconvex projection activated zeroing neurodynamic models for time-varying matrix pseudoinversion with accelerated finite-time convergence,” Applied Soft Computing, vol. 62, pp. 840-850, 2018（中科院2区，JCR1区, IF:2.367，被引次数：9，他引次数: 5）
[35] Lin Xiao, Zhijun Zhang, and Shuai Li, “Solving Time-Varying System of Nonlinear Equations by Finite-Time Recurrent Neural Networks With Application to Motion Tracking of Robot Manipulators.” IEEE Transactions on Systems Man & Cybernetics Systems, vol. 49, no. 11, pp. 2210 – 2220, 2019.（中科院2区，JCR1区, IF: 5.131，被引次数：7，他引次数: 1） [36] Xiao, Lin, Shuai Li, Jian Yang, and Zhijun Zhang, “A new recurrent neural network with noise-tolerance and finite-time convergence for dynamic quadratic minimization,” Neurocomputing, vol. 285, no. 12, pp. 125-132, 2018. （中科院2区，JCR1区，IF：3.241, 被引次数：11，他引次数: 2）
[37] Yang Xiao, Zhijun Zhang*(corresponding author), Aryel Beck, Junsong Yuan and Daniel Thalmann, “Human-Robot Interaction by Upper Body Gesture Understanding,” Presence-Teleoperators and Virtual Environments, vol. 23, no. 2, pp. 133-154, Sep. 2014 (SCI, EI, ISTP，中科院4区, JCR4区IF：0.426, 被引次数：55，他引次数: 33).
[38] Lin Xiao, Yongsheng Zhang, Bolin Liao, Zhijun Zhang, Lei Ding, Long Jin, “A velocity-level bi-criteria optimization scheme for coordinated path tracking of dual robot manipulators using recurrent neural network,” Frontiers in Neurorobotics, vol. 11, no. 47, 2017（中科院3区，JCR2区, IF:2.606, 被引次数：7，他引次数: 4）
[39] Lin Xiao, Bolin Liao, Shuai Li, Zhijun Zhang, L. Ding, and Long Jin al. “Design and Analysis of FTZNN Applied to Real-Time Solution of Nonstationary Lyapunov Equation and Tracking Control of Wheeled Mobile Manipulator,” IEEE Transactions on Industrial Informatics, vol. 14, no. 1, pp. 98-105, 2018. (中科院1区，JCR1区，IF：5.43, 被引次数：50，他引次数: 15)
[40] Hailiang Li, Yongqian Huang, Zhijun Zhang*, An improved faster R-CNN for same object retrieval, IEEE Access, Vol. 5, pp. 13665-13676, 2017. (中科院2区，JCR1区，IF: 4.098, 被引次数：5，他引次数: 4)
[41] Hong Zhang, Ping Wu, Aryel Beck, Zhijun Zhang, Xingyu Gao, “Adaptive Incremental Learning of Image Semantics with Application to Social Robot,” Neurocomputing, vol. 173, pp. 93-101, Jan. 2015 (SCI, EI, ISTP, IF 2.392, cited by 6, cited by others 5).（中科院2区，JCR1区，IF：3.241, 被引次数：13，他引次数: 11）
[42] Yunong Zhang, Jun Li, and Zhijun Zhang, “A Time-Varying Coefficient Based Manipulability-Maximizing Scheme For Motion Control of Redundant Robots Subject to Varying Joint-Velocity Limits,” Optimal Control Applications & Methods, vol. 34, no. 2, pp. 202-215, Apr. 2013. (SCI, EI, ISTP , 中科院4区，JCR3区，IF: 1.452, 被引次数：6，他引次数: 1).
[43] Yunong Zhang, Xuezhong Li, Zhijun Zhang, Jun Li, “An LVI-based Numerical Algorithm for Solving Quadratic Programming Problems,” Operations Research Transactions, vol. 16, no. 1, pp. 1-10, 2012.（中科院4区, JCR3区,IF: 2.400, 被引次数：2，他引次数: 0）
[44] Yunong Zhang, Yao Chou, and Zhijun Zhang, “Presentation, error analysis and numerical experiments on a group of 1-step-ahead numerical differentiation formulas,” Computational & Applied Mathematics, vol. 235, no. 1, pp.406-414, Feb. 2013. (SCI, EI, ISTP, Q2).（中科院4区，JCR3区,IF: 0.863, 被引次数：17，他引次数: 4）
[45] Yunong Zhang, Huarong Wu, Zhijun Zhang, Lin Xiao, and DongshengGuo, “Acceleration-level repetitive motion planning of redundant planar robots solved by a simplified LVI-based primal-dual neural network,” Robotics and Computer-Integrated Manufacturing, vol. 29, no. 2, pp. 328-343, Apr. 2013(SCI, EI, ISTP, Q2).（中科院3区，JCR1区,IF：3.464, 被引次数：12，他引次数: 2）
[46] Yunong Zhang, Weibing Li, and ZhijunZhang, “Physical-limits-constrained minimum velocity norm coordinating scheme for wheeled mobile redundant manipulators,”Robotica, vol. 33, no. 2, pp. 1-26, 2015.(SCI, EI, ISTP，Q3).（中科院4区，JCR4区，IF: 1.77, 被引次数：5，他引次数: 4）
[47] Yunong Zhang, Xiaotian Yu, Dongsheng Guo, Yonghua Yin, and Zhijun Zhang. “Weights and structure determination of multiple-input feed-forward neural network activated by Chebyshev polynomials of Class 2 via cross-validation,” Neural Computing and Applications, 2014, 25(7):1761-1770.(SCI, EI, ISTP).（中科院3区，JCR1区, IF:2.413, 被引次数：14，他引次数: 10）
[48]张智军，张雨浓. 重复运动速度层和加速度层方案的等效性. 自动化学报.（中文核心期刊，受邀译稿）(被引次数：1，他引次数: 0).
[49]张雨浓, 李钧, 张智军, 阮恭勤, 姜孝华. SIMO傅立叶三角基神经网络的权值直接确定法和结构自确定算法. 信息与控制, 2011, vol. 40, no. 4, pp. 507-524.（中文核心期刊）(被引次数：4，他引次数: 3).
[50] 张雨浓, 黎卫兵, 郭东生, 张智军, 侯占伟. 基于前向和中间差分法的离散ZNN用于定常矩阵求逆. 中国科学技术大学学报, 2011, vol. 42, no. 5, pp. 1-6. （中文核心期刊）(被引次数：2，他引次数: 1).
[51]张雨浓, 陈锦浩, 劳稳超, 张智军, 仇尧. 多类单输入多项式神经网络预测能力比较.系统仿真学报,2014, vol. 26, no. 001, pp. 90-96.（中文核心期刊, 被引次数：0，他引次数: 0）
会议论文
[1] Zhang Zhijun, He Jie, Tang Luxin, “Two-Input Gegenbauer Orthogonal Neural Network with Growing-and-Pruning Weights and Structure Determination” Cognitive Systems and Signal Processing - 4th International Conference, ICCSIP 2018.
[2] Zhijun Zhang, Jie He, Zhuoming Chen, Lingdong Kong, “Two-Input Power-Activation Neural Network Weights Direct Determination and Structure Optimized by Particle Swarm Optimization,” Proceedings of the 9th International Conference on Intelligent Control and Information Processing (ICICIP), 2018.
[3] Zhijun Zhang, Lingdong Kong, Ziyi Yan, Long Jin, “Comparisons among Six Numerical Methods for Solving Repetitive Motion Planning of Redundant Robot Manipulator,” IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018.
[4] Zhijun Zhang, Shi Mao, Ke Chen, Lin Xiao, Bolin Liao, Chunquan Li, Penchao Zhang, “CNN and PCA Based Visual System of A Wheelchair Manipulator Robot for Automatic Drinking,” IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO 2018), 2018.
[5] Zhijun Zhang, Lingdong Kong, Ziyang Liang, Yaru Niu, “Modification of Gesture-Determined-Dynamic Function with Consideration of Margins,” Proceedings of the 1th International Conference on Advanced Robotics and Intelligent Control (ICARIC), 2018.
[6] Zhijun Zhang, Yaru Niu, Shuyang Lin, Lingdong Kong, Hao Wang, “A Real-Time Upper-Body Robot Imitation System,” Proceedings of the 1th International Conference on Advanced Robotics and Intelligent Control (ICARIC), 2018.
[7] Zhijun Zhang, Yaru Niu, Shangen Wu, Shuyang Lin, and Lingdong Kong, “Analysis of Influencing Factors on Humanoid Robots’ Emotion Expressions by Body Language,” International Symposium on Neural Networks. Springer, Cham, 2018:775-785. （被引次数：1，他引次数: 0）
[8] Zhijun Zhang, Lingdong Kong, Yaru Niu, “A Time-Varying-Constrained Motion Generation Scheme for Humanoid Robot Arms,” International Symposium on Neural Networks, Springer, China, 2018: 757-767. （被引次数：2，他引次数: 2）
[9] Zhijun Zhang, Jianli Yu, Yuanqing Li, and Xiaoyan Zhang, “A New Neural-Dynamic Control Method of Position and Angular Stabilization for Autonomous Quadrotor UAVs,” IEEE World Congress on Computation Intelligence, Vancouver, Canada, 2016. (EI, cited by 4, cited by others 1).
[10] Zhijun Zhang, Siwei Li, and Xiaoyan Zhang, “Simulink Comparison of Varying-Parameter Convergent-Differential Neural-Network and Gradient Neural Network for Solving Online Linear Time-Varying Equations,” The 12th World Congress on Intelligent Control and Automation (WCICA 2016), Guilin, China, 2016 . (EI, cited by 9, cited by others 1).
[11] Zhijun Zhang, Siyuan Chen, Lunan Zheng, Jiayu Zhang, “Matlab Simulink of Varying-Parameter Convergent-Differential Neural-Network for Solving Online Time-Varying Matrix Inverse,” 2016 9th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, China, 2016. (cited by 4, cited by others 0).
[12] Xin Pan, Zhijun Zhang*, Yuanqing Li, Jun Qu, Chunhui Zhao, “Enjoy Driving from Thought in a Virtual City,” Proceedings of the 36th Chinese Control Conference, pp. 11034-11040, July 26-28, 2017, Dalian, China, 2017. (优秀墙报提名奖) (cited by 2, cited by others 2).
[13] Zhijun Zhang, Yongqian Huang, Wenkang Zhang, “Comparisons of Planar Detection for Service Robot with RANSAC and Region Growing Algorithm,” Proceedings of the 36th Chinese Control Conference, pp. 11092 - 11097, Dalian, China, 2017.
[14] Jiang Jindong, Zhang Zhijun*, Huang Yongqian, Zheng Lunan “Incorporating depth into both CNN and CRF for indoor semantic segmentation” Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS, 2017. (cited by 8, cited by others 6).
[15] Chunhui Zhao, Zhijun Zhang*, Yuanqing Li*, Xin Pan, Jun Qu, Ziyi Yan, “An EEG-based Mind Controlled Virtual-Human Obstacle-Avoidance Platform in Three Dimensional Virtual Environment,” the 8th International IEEE EMBS Neural Engineering Conference, 2017. (cited by 0, cited by others 0).
[16] Nadia Magnenat-Thalmann and Zhijun Zhang*(corresponding author), “Social robots and virtual humans as assistive tools for improving our quality of life,” in the 5th International Conference on Digital Home (ICDH 2014), Guangzhou, China, Nov. 28-30, 2014. (EI, cited by 9, cited by others 7).
[17] Nadia Magnenat-Thalmann and Zhijun Zhang*(corresponding author), “Assistive Social Robots for People with Special needs,” in The International Conference on Contemporary Computing and Informatics (IC3I 2014), Karnataka, India, Nov. 27-29, 2014.(EI, cited by 4, cited by others 4).
[18] Yunong Zhang, Huarong Wu, Zhijun Zhang, Senbo Fu, and Yonghua Yin, “Different-level schemes' equivalence for self-motion planning ofrobot manipulators,” in the 2012International Conference on Artificial Intelligence and Computational Intelligence(AICI'12), Chengdu, China, October 2012, pp. 9-16. (EI) (cited by 1, cited by others 1).
[19] Yunong Zhang, Long Jin, Zhijun Zhang, Lin Xiao, and Senbo Fu, “Zhang fractals Yielded via Solving Nonlinear Time-Varying Nonlinear ComplexEquations by Discrete-Time Complex-Valued ZD,” inthe 2012 International Conference on Artificial Intelligence andComputational Intelligence (AICI'12), Chengdu, China, October 2012, pp. 596-603. (EI)
[20] Yunong Zhang, Senbo Fu, Zhijun Zhang, Lin Xiao, and Xuezhong Li, “On the LVI-based Numerical Method (E47 Algorithm) for Solving Quadratic Programming Problems,” in Proceeding of the IEEE International Conference on Automation and Logistics, Chongqing, China, August 2011, pp.125-130(The Best Conference Paper Award) (EI). (cited by 8, cited by others 5).
[21] Yunong Zhang, LingXie, Zhijun Zhang, Kene Li, and Lin Xiao, “Real-Time Joystick Control and Experiments of Redundant Manipulators Using Cosine-Based Velocity Mapping,” in The 5th IEEE International Conference on Automation and Logistics (IEEE ICAL 2011), Chongqing, China, August 2011, pp.345-350 (EI). (cited by 3, cited by others 1).
[22] Yunong Zhang, Weibing Li, DongshengGuo, Zhijun Zhang, and Senbo Fu, “Feedback-Type MWVN Scheme and Its Acceleration-Level EquivalentScheme Proved by Zhang Dynamics,” in2012 International Conference on Control Engineering and Communication Technology, Shenyang, China, December, 2012, pp. 180-183. (ISTP, EI). (cited by 1, cited by others 1).
[23] Yunong Zhang, Lin Xiao, Xiaotian Yu, Bolin Liao and Zhijun Zhang, “Minimum Movement Scheme with Wheels and Joints Coordinated Simultaneously for Mobile Redundant Manipulator,” in Proceeding of the IEEE International Conference on Information and Automation (ICIA), Yinchuan, China, August 2013, pp. 910-915.(ISTP, EI).
[24] Yunong Zhang, Zhijun Zhang, “Feedback-Aided Minimum Joint Movement (FAMJM) Scheme for Redundant Manipulators with Simulations and Experiments,” in Proceedings of the 32nd Chinese Control Conference, Xi'an, China, July 26-28, 2013, pp. 5656-5661. (EI)
[25] Yunong Zhang， Long Jin， Zhijun Zhang， Lin Xiao， Senbo Fu, “Zhang Fractals Yielded via Solving Time-Varying Nonlinear Complex Equations by Discrete-Time Complex-Valued ZD.” International Conference on Artificial Intelligence and Computational Intelligence Springer, Berlin, Heidelberg, 2012:596-603.
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