人才培养：
主讲课程：
2020年2月-2020年6月，主讲老师，本科课程《机器人系统》，24人，创新班必修，华南理工大学
2018年9月-2019年1月，主讲教师，本科课程《模式识别》，90+67人选课，华南理工大学。
2018年3月-2018年6月，主讲老师，本科课程《人工智能与机器学习导论》，58人选课，华南理工大学。
2017年9月-2018年1月，主讲老师，本科课程《智能信息处理及控制》，华南理工大学。
2017年9月-2018年1月，主讲老师，研究生课程《Human-Robot Interaction》，华南理工大学。
2017年3月-2017年6月，主讲老师，2014全日制智能班本科课程《人工智能与机器学习》，华南理工大学。
2017年3月-2017年6月，主讲老师，2015全日制智能班本科课程《经典控制理论与应用》，华南理工大学。
2016年9月-2017年1月，主讲老师，全日制本科2016级创新班课程《高级语言C++编程》，华南理工大学。
2012年3月-2012年6月，主讲教师，科目：《单片机原理与嵌入式系统设计》，中山大学。
2011年9月-2012年1月，主讲教师，科目：《通信原理》，中山大学。
2011年3月-2011年6月，主讲教师，科目：《移动通信》，中山大学。
培养研究生情况：
培养学生（本/硕/博）近110余人。其中，在读学生50余人中，获得国家奖学金4人，国家励志奖学金8人，担任学生干部的学生超过34人，优秀学生干部5人，获“三号学生”称号的学生有13人，参与科技、社会、文体等方面实践、活动与竞赛的学生有41人。
2017年，指导研究生、本科生取得挑战杯华南理工大学校级一等奖，第十四届广东省挑战杯特等奖。
目前，指导博士生、硕士生和本科生等各个层次的学生。
目前已培养的优秀学生：
1. 郑陆楠
2018级博士研究生，现就读于华南理工大学自动化科学与工程学院。
发表SCI论文12篇，发表期刊包括《IEEE Transactions on Automatic Control》，《IEEE Transactions on Cybernetics》，《IEEE Transactions on Vehicular Technology》以及《Neurocomputing》等，EI论文2篇，授权发明专利1项，授权实用新型专利2项，登记软件著作权2项，受理发明专利12项，申请国际专利1份。在项目研究方面，本人曾主持申报广东省大学生科技创新培养专项项目并获重点项目6万元资金资助并完成结题工作。曾获2017年挑战杯省赛特等奖“面向残疾病人的意识控制机械手臂辅助喝水系统”。获博士生国家奖学金，本科国家奖学金，本科国家励志奖学金，波音奖学金等。
在学术研究方面，主攻神经网络设计，冗余度机器人运动规划，飞行器稳定控制器设计以及智能机器人方向。所研究的神经网络方向主要是利用递归神经网络实现对时变问题的解析优化，利用递归神经网络的记忆功能，将所研究问题的时变参数作为网络权重，实现稳定的网络设计并实现所研究问题的最优解求解。在技术研发方面，研究主线为携带冗余度机械臂的多旋翼飞行作业机器人。
2. 陈思远
2019级博士研究生，现就读于华南理工大学自动化科学与工程学院。主要成果：
论文成果：
[1] Chen Siyuan, Xie jinhua and Yang Song, “Two Hybrid Multiobjective Motion Planning Schemes Synthesized by Recurrent Neural Networks for Wheeled Mobile Robot Manipulators,” IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS.
[2] Chen Siyuan, Li Shuai*. Compatible Convex-Nonconvex Constrained QP-Based Dual Neural Networks for Motion Planning of Redundant Robot Manipulators. IEEE Transactions on Control Systems Technology, 2019.5,vol. 27, no. 3, PP:1250-1258.
[3] Chen Siyuan, Zhu Xupeng and Yan Ziyi, “Two Hybrid End-Effector Posture-Maintaining and Obstacle-Limits Avoidance Schemes for Redundant Robot Manipulators,” IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS.
[4] Tan Zhiguo, Xiao Lin, Chen Siyuan and Lv Xuanjiao, “Noise-Tolerant and Finite-time Convergent ZNN Models for Dynamic Matrix Moore-Penrose Inversion,” IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. (accepted)
[5] Huang Yongqian, Chen Siyuan, Qu Jun, Pan Xin, Yu Tianyou and Li Yuanqing*, “An Intention-Driven Semi-autonomous Intelligent Robotic System for Drinking,”Frontiers in Neurorobotics, vol. 11, pp. 1-14， 2017.
[6] Zhang Yinyan, Chen Siyuan, Li Shuai*, Zhang Zhijun*. Adaptive projection neural network for kinematic control of redundant manipulators with unknown physical parameters. IEEE Transactions on Industrial Electronics, 2018, 65(6): 4909-4920.
[7] Jia Zhoali, Chen Siyuan, Qu Xilong, Zhang Pengchao, Zhong Nan, “Velocity-Level Tri-Criteria Optimization Scheme for Different Complex Path Tracking of Redundant Manipulators”IEEE Access.
[8] Chen Siyuan, Zheng Lunan and Zhang Jiayu, Matlab Simulink of Varying-Parameter Convergent-Differential Neural-Network for Solving Online Time-Varying Matrix Inverse, Computational Intelligence and Design (ISCID), 2016 9th International Symposium on. IEEE, 2016, 1: 320-325.
专利成果：
已受理：
[1] 陈思远，一种机器人运动规划的拓展解集对偶神经网络解决方法，发明专利（申请号：CN201711174057.3），申请日期：2017.11.22. （受理日期：2018.5.11）
[2] 陈思远，一种非线性约束的原对偶神经网络机器人动作规划方法，发明专利（申请号：CN201711174977.5），申请日期：2017.11.22. （受理日期：2018.5.11）
[3] 张智军、梁俊杰、陈思远. 一种基于欧拉型离散周期节律神经网络的冗余度机械臂重复运动规划方法，发明专利（申请号：201811121052.9），申请日期：2018.9.26.
[4] 张智军、梁俊杰、陈思远. 一种抑制周期噪声的冗余度机械臂重复运动规划方法，发明专利（申请号：CN201811120185.4），申请日期：2018.9.26.
[5] 张智军、梁俊杰、陈思远. 在周期噪声下基于泰勒型离散周期节律神经网络的冗余度机械臂重复运动规划方法，发明专利（申请号：201811121035.5），申请日期：2018.9.26.
P6. 张智军、林钧宇、陈思远. 一种基于神经动力学的软间隔支持向量机分类方法，发明专利（申请号：201811264599.4），申请日期：2018.10.29.
已授权：
[1] 张智军、郑陆楠、陈思远. 一种飞行机器人，实用新型专利（专利授权号：ZL 2016 2 0816429.2），申请日期：2016.07.29. （授权日期：2017.1.18）
3. 颜子毅
2016级硕士研究生，现工作于深信服科技股份有限公司。其就读研究生的主要成果：
发表论文：
[1]Yan Z., Fu T. Varying-Parameter RNN Activated by Finite-Time Functions for Solving Joint-Drift Problems of Redundant Robot Manipulators,
IEEE Transactions on Industrial Informaticsvol. 14(12), pp. 5359-5367, 2018， 一区，影响因子:5.43
[2]Yan Z. Hybrid-Level Joint-Drift-Free Scheme of Redundant Robot Manipulators Synthesized by A Varying-Parameter Recurrent Neural Network, IEEE Accessvol. 6, pp. 34967-34975, 2018， 二区，影响因子: 3.557
[3]Yan Z. A Varying Parameter Recurrent Neural Network for Solving Nonrepetitive Motion Problems of Redundant Robot Manipulators, IEEE Transactions on Control Systems Technology, 2018， 二区，影响因子: 4.883
[4]Yan Z. An Adaptive Fuzzy Recurrent Neural Network for Solving Non-repetitive Motion Problem of Redundant Robot Manipulators, IEEE Transactions on Fuzzy Systems，一区，影响因子: 8.415
主要奖项：
[1]第十四届“挑战杯”广东省大学生课外学术科技作品竞赛，特等奖
[2]研究生国家奖学金
4. 孔令东
硕士研究生，现就读于新加坡南洋理工大学。主要成果：
[1]. L.-D. Kong*, L. Zheng. “Power-Type Varying Parameter RNN for Solving TVQP Problems: Design, Analysis and Applications.” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019.
[2] .L.-D. Kong, L. Zheng, P. Zhang, X. Qu, B. Liao, Z. 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 (TSMC), 2019.
[3]. Y. Niu, L.-D. Kong, S. Lin, H. Wang. “A Real-Time Upper-Body Robot Imitation System.” International Journal of Robotics and Control (IJRC), 2019.
[4]. X. Deng, X. Qu, B. Liao, L.-D. Kong, L. Li. “A Varying-Gain Recurrent Neural Network and Its Application to Solving Online Time-Varying Matrix Equation.” IEEE Access, 2018.
[5]. L. Zheng, Z. Chen, L.-D. Kong, H. R. Karimi. “Mutual Collision Scheme Synthesized by Neural Networks for Dual Redundant Manipulators Executing Cooperative Tasks.” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Under Review.
[6]. L.-D. Kong*, Z. Yan, K. Chen, S. Li, X. Qu, N. Tan. “Comparisons among Six Numerical Methods for Solving Repetitive Motion Planning of Redundant Robot Manipulators.” 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018.
[7]. L.-D. Kong*, Y. Niu. “A Time-Varying-Constrained Motion Generation Scheme for Humanoid Robot Arms.” 15th International Symposium on Neural Networks (ISNN), 2018.
[8]. Y. Niu*, S. Wu, S. Lin, L.-D. Kong. “Analysis of Influencing Factors on Humanoid Robots’ Emotion Expressions by Body Language.” 15th International Symposium on Neural Networks (ISNN), 2018.
[9]. J. He, Z. Chen, L.-D. Kong*. “Two-Input Power-Activation Neural Network Weights Direct Determination and Structure Optimized by Particle Swarm Optimization.” 9th International Conference on Intelligent Control and Information Processing (ICICIP), IEEE, 2018.
获奖情况：
[1]. National Scholarship of the Year 2017-2018, awarded by the Ministry of Education of P. R. China.
[2]. The 1st Place in the 15th “Challenge Cup” Guangdong Undergraduate Extracurricular Academic Science and Technology Contest, awarded by the Department of Education of Guangdong Province.
[3]. The 2nd Place in the 16th “Challenge Cup” SCUT Undergraduate Extracurricular Academic Science and Technology Contest (Category: Mechanics & Control), awarded by SCUT.
[4]. The Outstanding Student of the Year 2017-2018, awarded by SCUT. [5]. Outstanding Project Award of the 2017 National Undergraduate Innovative and Entrepreneurial Training Program, awarded by the Ministry of Education of P. R. China.
5. 陈涛
2018级硕士研究生，现就读于华南理工大学自动化科学与工程学院。主要成果：
[1].An Exponential-Type Anti-noise Varying-Gain Network for Solving Disturbed Time-varying Inversion Systems 被IEEE Transactions on Control Systems Technology。
6. 林俊杰
2018级硕士研究生，现就读于华南理工大学自动化科学与工程学院。主要成果：
负责“多模态极类人机器人”项目的开发，共申请国家专利7件。
7. 邓羡知
2016级本科生，现就读于华南理工大学自动化科学与工程学院。主要成果：
2018年以学生第一作者在IEEE ACCESS上发表论文，2019年以学生第一作者在IEEE Transcation on Cognitive and Developmental Systems书写的论文被接受，2018年以学生第一作者受理了一篇专利。2018年国家大学生创新创业训练优秀结题项目负责人。
8. 周琼怡
硕士研究生，现就读于中国科学院自动化研究所。主要成果：
[1]Zhang Z, Zhou Q, Fan W. Neural-Dynamic Based Synchronous-Optimization Scheme of Dual Redundant Robot Manipulators[J]. Frontiers in neurorobotics, 2018, 12: 73.
获奖情况：
2014-2015年度，国家奖学金；
2015-2016年度，‘E+H’企业奖学金；
2016-2017年度，国家励志奖学金。
招生情况：
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招收来自：自动化、智能、电子信息、机械、计算机、数学等相关领域的博士后！！
论文专著：
出版专著和教材：
[1] Aryel Beck, Zhang Zhijun, and Nadia MagnenatThalmann. Motion Control for Social Behaviours, in Book “Context aware Human-Robot and Human-Agent Interaction ”, Springer-Verlag, Gemany, Feb. 2016.
[2] Yunong Zhang and ZhijunZhang.Repetitive Motion Planning and Control Based on Quadratic Program for Redundant Robot Manipulators--Theory, Simulations and Physical Robot Realization, Springer-Verlag, Gemany, May 2013.
发表英文论文：
2019年：
[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] Zhijun Zhang, Nadia Magnenat-Thalmann, and Daniel Thalmann, “Dual-Arms Coordinated Human-Like Motion Generation for Humanoid Robot,”IEEE Transactions on Industrial Electronics (in reviewing).
[49] Zhijun Zhang, AryelBeckand Nadia Magnenat-Thalmann, “Human-Like Behavior Generation Based on Head-Arms Model for Tracking External Targets and Body Parts,” (will submit)
[50] Zhijun Zhang, “Control Robot Attention via Sound and Vision Senses,” (in writing)
[51]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).
[52]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).
[53] 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).
[54]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）
发表会议论文：
[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.
[26] Zhijun Zhang, Luxin Tang, Huan Yao, Hui Liu, “Simulation of Elman Neural network Extension Decision Strategy Generator Data Simulation to Pattern Deformation Error in Flexibility Material Treating Field,” inIEEE International Symposium on Knowledge Acquisition and Modeling Workshop (KAMW 2008), Wuhan, China, December 2008, pp. 50-53. (ISTP, EI) (cited by 2, cited by others 2).
[27] Luxin Tang, Zhijun Zhang, Yunong Zhang, Huan Yao, and Hui Liu, “Fuzzy-neural networks control system Modeling based on extension decision strategy generation mechanism,” inInternational Conference on Information Technology in Education (CSSE 2008), Wuhan, China, December 2008, pp. 1172-1175 (EI). (cited by 2, cited by others 2).
[28] Luxin Tang, Huan Yao, Zhijun Zhang, Jun Liu, “Research of Relief Pattern Design Based on Improved GeneticAlgorithm,” in International Symposium on Intelligent Information Technology Application Workshops (IITAW 2008), Shanghai, China, December 2008, pp. 459-462 (ISTP, EI).
张智军(Zhijun Zhang)，男 ，博士，教授，现任华南理工大学自动化学院教授。华南理工大学高层次引进人才，广东省杰青，广东省科技创新拔尖人才。在此之前，张智军在南洋理工大学从事Research Fellow的工作。其主要兴趣为机器人、神经网络、机器学习、虚拟现实和人机交互。
荣誉奖励：