人才培養(yǎng)：
主講課程：
2020年2月-2020年6月，主講老師，本科課程《機(jī)器人系統(tǒng)》，24人，創(chuàng)新班必修，華南理工大學(xué)
2018年9月-2019年1月，主講教師，本科課程《模式識別》，90+67人選課，華南理工大學(xué)。
2018年3月-2018年6月，主講老師，本科課程《人工智能與機(jī)器學(xué)習(xí)導(dǎo)論》，58人選課，華南理工大學(xué)。
2017年9月-2018年1月，主講老師，本科課程《智能信息處理及控制》，華南理工大學(xué)。
2017年9月-2018年1月，主講老師，研究生課程《Human-Robot Interaction》，華南理工大學(xué)。
2017年3月-2017年6月，主講老師，2014全日制智能班本科課程《人工智能與機(jī)器學(xué)習(xí)》，華南理工大學(xué)。
2017年3月-2017年6月，主講老師，2015全日制智能班本科課程《經(jīng)典控制理論與應(yīng)用》，華南理工大學(xué)。
2016年9月-2017年1月，主講老師，全日制本科2016級創(chuàng)新班課程《高級語言C++編程》，華南理工大學(xué)。
2012年3月-2012年6月，主講教師，科目：《單片機(jī)原理與嵌入式系統(tǒng)設(shè)計》，中山大學(xué)。
2011年9月-2012年1月，主講教師，科目：《通信原理》，中山大學(xué)。
2011年3月-2011年6月，主講教師，科目：《移動通信》，中山大學(xué)。
培養(yǎng)研究生情況：
培養(yǎng)學(xué)生（本/碩/博）近110余人。其中，在讀學(xué)生50余人中，獲得國家獎學(xué)金4人，國家勵志獎學(xué)金8人，擔(dān)任學(xué)生干部的學(xué)生超過34人，優(yōu)秀學(xué)生干部5人，獲“三號學(xué)生”稱號的學(xué)生有13人，參與科技、社會、文體等方面實踐、活動與競賽的學(xué)生有41人。
2017年，指導(dǎo)研究生、本科生取得挑戰(zhàn)杯華南理工大學(xué)校級一等獎，第十四屆廣東省挑戰(zhàn)杯特等獎。
目前，指導(dǎo)博士生、碩士生和本科生等各個層次的學(xué)生。
目前已培養(yǎng)的優(yōu)秀學(xué)生：
1. 鄭陸楠
2018級博士研究生，現(xiàn)就讀于華南理工大學(xué)自動化科學(xué)與工程學(xué)院。
發(fā)表SCI論文12篇，發(fā)表期刊包括《IEEE Transactions on Automatic Control》，《IEEE Transactions on Cybernetics》，《IEEE Transactions on Vehicular Technology》以及《Neurocomputing》等，EI論文2篇，授權(quán)發(fā)明專利1項，授權(quán)實用新型專利2項，登記軟件著作權(quán)2項，受理發(fā)明專利12項，申請國際專利1份。在項目研究方面，本人曾主持申報廣東省大學(xué)生科技創(chuàng)新培養(yǎng)專項項目并獲重點項目6萬元資金資助并完成結(jié)題工作。曾獲2017年挑戰(zhàn)杯省賽特等獎“面向殘疾病人的意識控制機(jī)械手臂輔助喝水系統(tǒng)”。獲博士生國家獎學(xué)金，本科國家獎學(xué)金，本科國家勵志獎學(xué)金，波音獎學(xué)金等。
在學(xué)術(shù)研究方面，主攻神經(jīng)網(wǎng)絡(luò)設(shè)計，冗余度機(jī)器人運(yùn)動規(guī)劃，飛行器穩(wěn)定控制器設(shè)計以及智能機(jī)器人方向。所研究的神經(jīng)網(wǎng)絡(luò)方向主要是利用遞歸神經(jīng)網(wǎng)絡(luò)實現(xiàn)對時變問題的解析優(yōu)化，利用遞歸神經(jīng)網(wǎng)絡(luò)的記憶功能，將所研究問題的時變參數(shù)作為網(wǎng)絡(luò)權(quán)重，實現(xiàn)穩(wěn)定的網(wǎng)絡(luò)設(shè)計并實現(xiàn)所研究問題的最優(yōu)解求解。在技術(shù)研發(fā)方面，研究主線為攜帶冗余度機(jī)械臂的多旋翼飛行作業(yè)機(jī)器人。
2. 陳思遠(yuǎn)
2019級博士研究生，現(xiàn)就讀于華南理工大學(xué)自動化科學(xué)與工程學(xué)院。主要成果：
論文成果：
[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.
專利成果：
已受理：
[1] 陳思遠(yuǎn)，一種機(jī)器人運(yùn)動規(guī)劃的拓展解集對偶神經(jīng)網(wǎng)絡(luò)解決方法，發(fā)明專利（申請?zhí)枺篊N201711174057.3），申請日期：2017.11.22. （受理日期：2018.5.11）
[2] 陳思遠(yuǎn)，一種非線性約束的原對偶神經(jīng)網(wǎng)絡(luò)機(jī)器人動作規(guī)劃方法，發(fā)明專利（申請?zhí)枺篊N201711174977.5），申請日期：2017.11.22. （受理日期：2018.5.11）
[3] 張智軍、梁俊杰、陳思遠(yuǎn). 一種基于歐拉型離散周期節(jié)律神經(jīng)網(wǎng)絡(luò)的冗余度機(jī)械臂重復(fù)運(yùn)動規(guī)劃方法，發(fā)明專利（申請?zhí)枺?01811121052.9），申請日期：2018.9.26.
[4] 張智軍、梁俊杰、陳思遠(yuǎn). 一種抑制周期噪聲的冗余度機(jī)械臂重復(fù)運(yùn)動規(guī)劃方法，發(fā)明專利（申請?zhí)枺篊N201811120185.4），申請日期：2018.9.26.
[5] 張智軍、梁俊杰、陳思遠(yuǎn). 在周期噪聲下基于泰勒型離散周期節(jié)律神經(jīng)網(wǎng)絡(luò)的冗余度機(jī)械臂重復(fù)運(yùn)動規(guī)劃方法，發(fā)明專利（申請?zhí)枺?01811121035.5），申請日期：2018.9.26.
P6. 張智軍、林鈞宇、陳思遠(yuǎn). 一種基于神經(jīng)動力學(xué)的軟間隔支持向量機(jī)分類方法，發(fā)明專利（申請?zhí)枺?01811264599.4），申請日期：2018.10.29.
已授權(quán)：
[1] 張智軍、鄭陸楠、陳思遠(yuǎn). 一種飛行機(jī)器人，實用新型專利（專利授權(quán)號：ZL 2016 2 0816429.2），申請日期：2016.07.29. （授權(quán)日期：2017.1.18）
3. 顏子毅
2016級碩士研究生，現(xiàn)工作于深信服科技股份有限公司。其就讀研究生的主要成果：
發(fā)表論文：
[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， 一區(qū)，影響因子: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， 二區(qū)，影響因子: 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， 二區(qū)，影響因子: 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，一區(qū)，影響因子: 8.415
主要獎項：
[1]第十四屆“挑戰(zhàn)杯”廣東省大學(xué)生課外學(xué)術(shù)科技作品競賽，特等獎
[2]研究生國家獎學(xué)金
4. 孔令東
碩士研究生，現(xiàn)就讀于新加坡南洋理工大學(xué)。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.
獲獎情況：
[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. 陳濤
2018級碩士研究生，現(xiàn)就讀于華南理工大學(xué)自動化科學(xué)與工程學(xué)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級碩士研究生，現(xiàn)就讀于華南理工大學(xué)自動化科學(xué)與工程學(xué)院。主要成果：
負(fù)責(zé)“多模態(tài)極類人機(jī)器人”項目的開發(fā)，共申請國家專利7件。
7. 鄧羨知
2016級本科生，現(xiàn)就讀于華南理工大學(xué)自動化科學(xué)與工程學(xué)院。主要成果：
2018年以學(xué)生第一作者在IEEE ACCESS上發(fā)表論文，2019年以學(xué)生第一作者在IEEE Transcation on Cognitive and Developmental Systems書寫的論文被接受，2018年以學(xué)生第一作者受理了一篇專利。2018年國家大學(xué)生創(chuàng)新創(chuàng)業(yè)訓(xùn)練優(yōu)秀結(jié)題項目負(fù)責(zé)人。
8. 周瓊怡
碩士研究生，現(xiàn)就讀于中國科學(xué)院自動化研究所。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.
獲獎情況：
2014-2015年度，國家獎學(xué)金；
2015-2016年度，‘E+H’企業(yè)獎學(xué)金；
2016-2017年度，國家勵志獎學(xué)金。
招生情況：
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論文專著：
出版專著和教材：
[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.
發(fā)表英文論文：
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區(qū)，JCR1區(qū), 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區(qū)，JCR2區(qū)，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區(qū)，JCR 1區(qū))
[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區(qū)，JCR 1區(qū))
[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區(qū)，JCR 1區(qū))
[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區(qū)，JCR 1區(qū))
[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區(qū)，JCR 1區(qū))
[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區(qū)，JCR 1區(qū))
[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區(qū)，JCR 1區(qū))
[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區(qū)，JCR 2區(qū), 被引次數(shù)：3，他引次數(shù)：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區(qū)，JCR 1區(qū)，IF: 5.007 , 被引次數(shù)：11，他引次數(shù)：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區(qū)，JCR1區(qū), IF: 8.803, 被引次數(shù)：4，他引次數(shù): 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區(qū)，JCR1區(qū), 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區(qū)，JCR1區(qū), IF: 5.131, 被引次數(shù)：4，他引次數(shù): 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區(qū)，JCR1區(qū), IF: 4.883, 被引次數(shù)：3，他引次數(shù): 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區(qū)，JCR1區(qū), IF: 4.883, 被引次數(shù)：0，他引次數(shù): 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區(qū)，JCR1區(qū), IF: 5.43, 被引次數(shù)：3，他引次數(shù): 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區(qū)，JCR1區(qū)，IF: 4.432, 被引次數(shù)：4，他引次數(shù): 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區(qū)，JCR1區(qū), IF: 3.936, 被引次數(shù)：13，他引次數(shù)：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區(qū)，JCR1區(qū), IF: 10.387, 被引次數(shù)：14，他引次數(shù)：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區(qū)，JCR1區(qū), IF: 4.883, 被引次數(shù)：12，他引次數(shù)：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區(qū)，JCR1區(qū)，IF: 3.936被引次數(shù)：34，他引次數(shù):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區(qū)，JCR1區(qū), IF: 7.982, 被引次數(shù)：57，他引次數(shù):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區(qū)，JCR1區(qū), IF: 10.387, 被引次數(shù)：40，他引次數(shù)：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區(qū)，JCR1區(qū), IF: 6.22, 被引次數(shù)：54，他引次數(shù):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區(qū)，JCR1區(qū)，IF: 3.936，被引次數(shù)：48，他引次數(shù)：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區(qū)，JCR1區(qū)，IF：3.241，被引次數(shù)：0，他引次數(shù)：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區(qū)，JCR1區(qū), IF: 7.503, 被引次數(shù)：19，他引次數(shù):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區(qū)，JCR3區(qū)，IF : 1.521,被引次數(shù)：7，他引次數(shù):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區(qū)，JCR1區(qū)，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. (中科院大區(qū)3區(qū)，JCR 2區(qū), IF:2.606, 被引次數(shù)：2，他引次數(shù): 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區(qū)，JCR1區(qū)，IF: 4.098，被引次數(shù)：4，他引次數(shù): 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區(qū)，JCR1區(qū)，IF: 4.098, 被引次數(shù)：3，他引次數(shù): 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, 被引次數(shù)：14，他引次數(shù): 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區(qū), JCR2區(qū),IF：3.296，被引次數(shù)：39，他引次數(shù): 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區(qū)，JCR1區(qū)，IF: 4.098，被引次數(shù)：0，他引次數(shù): 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.（中科院大區(qū)3區(qū)，JCR 2區(qū), IF:2.606, 被引次數(shù)：0，他引次數(shù): 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區(qū)，JCR1區(qū)，被引次數(shù)：13，他引次數(shù): 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區(qū)，JCR4區(qū)，被引次數(shù)：1，他引次數(shù): 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區(qū)，JCR2區(qū)，被引次數(shù)：15，他引次數(shù): 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區(qū)，JCR2區(qū), IF:2.606, 被引次數(shù)：7，他引次數(shù): 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區(qū)，JCR1區(qū), IF：5.43，被引次數(shù)：50，他引次數(shù):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區(qū)，JCR1區(qū)，IF：3.241, 被引次數(shù)：29，他引次數(shù):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區(qū)，JCR1區(qū), IF:2.367，被引次數(shù)：9，他引次數(shù): 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區(qū)，JCR1區(qū), IF: 5.131，被引次數(shù)：7，他引次數(shù): 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區(qū)，JCR1區(qū)，IF：3.241, 被引次數(shù)：11，他引次數(shù): 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區(qū), JCR4區(qū)IF：0.426, 被引次數(shù)：55，他引次數(shù): 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區(qū)，JCR2區(qū), IF:2.606, 被引次數(shù)：7，他引次數(shù): 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區(qū)，JCR1區(qū)，IF：5.43, 被引次數(shù)：50，他引次數(shù): 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區(qū)，JCR1區(qū)，IF: 4.098, 被引次數(shù)：5，他引次數(shù): 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區(qū)，JCR1區(qū)，IF：3.241, 被引次數(shù)：13，他引次數(shù): 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區(qū)，JCR3區(qū)，IF: 1.452, 被引次數(shù)：6，他引次數(shù): 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區(qū), JCR3區(qū),IF: 2.400, 被引次數(shù)：2，他引次數(shù): 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區(qū)，JCR3區(qū),IF: 0.863, 被引次數(shù)：17，他引次數(shù): 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區(qū)，JCR1區(qū),IF：3.464, 被引次數(shù)：12，他引次數(shù): 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區(qū)，JCR4區(qū)，IF: 1.77, 被引次數(shù)：5，他引次數(shù): 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區(qū)，JCR1區(qū), IF:2.413, 被引次數(shù)：14，他引次數(shù): 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]張智軍，張雨濃. 重復(fù)運(yùn)動速度層和加速度層方案的等效性. 自動化學(xué)報.（中文核心期刊，受邀譯稿）(被引次數(shù)：1，他引次數(shù): 0).
[52]張雨濃, 李鈞, 張智軍, 阮恭勤, 姜孝華. SIMO傅立葉三角基神經(jīng)網(wǎng)絡(luò)的權(quán)值直接確定法和結(jié)構(gòu)自確定算法. 信息與控制, 2011, vol. 40, no. 4, pp. 507-524.（中文核心期刊）(被引次數(shù)：4，他引次數(shù): 3).
[53] 張雨濃, 黎衛(wèi)兵, 郭東生, 張智軍, 侯占偉. 基于前向和中間差分法的離散ZNN用于定常矩陣求逆. 中國科學(xué)技術(shù)大學(xué)學(xué)報, 2011, vol. 42, no. 5, pp. 1-6. （中文核心期刊）(被引次數(shù)：2，他引次數(shù): 1).
[54]張雨濃, 陳錦浩, 勞穩(wěn)超, 張智軍, 仇堯. 多類單輸入多項式神經(jīng)網(wǎng)絡(luò)預(yù)測能力比較.系統(tǒng)仿真學(xué)報,2014, vol. 26, no. 001, pp. 90-96.（中文核心期刊, 被引次數(shù)：0，他引次數(shù): 0）
發(fā)表會議論文：
[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. （被引次數(shù)：1，他引次數(shù): 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. （被引次數(shù)：2，他引次數(shù): 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. (優(yōu)秀墻報提名獎) (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).
張智軍(Zhijun Zhang)，男 ，博士，教授，現(xiàn)任華南理工大學(xué)自動化學(xué)院教授。華南理工大學(xué)高層次引進(jìn)人才，廣東省杰青，廣東省科技創(chuàng)新拔尖人才。在此之前，張智軍在南洋理工大學(xué)從事Research Fellow的工作。其主要興趣為機(jī)器人、神經(jīng)網(wǎng)絡(luò)、機(jī)器學(xué)習(xí)、虛擬現(xiàn)實和人機(jī)交互。
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