基本信息

姓名:陈俊龙

办公室:B3-307

办公电话:3487/39380238

E-mail:philipchen@scut.edu.cn

所在团队:数据科学与人工智能团队

研究方向:智能系统与控制,计算智能,混合智能,无人系统、

                 数据科学方向。

个人简介

       陈俊龙(C. L. Philip Chen)博士是华南理工大学特聘讲席教授,博导,计算机科学与工程学院院长;欧洲科学院外籍院士,欧洲科学与艺术学院院士,中国自动化学会副理事长,曾任澳门大学科技学院院长,美国美国德州大学工学院终身教授,工学院副院长及电机计算机系主任。陈教授是IEEE Fellow,美国科学促进会AAAS Fellow,IAPR Fellow,国际系统及控制论科学院 IASCYS 院士,香港工程师学会 Fellow,我国自动化学会的Fellow及常务理事。

       陈教授现任IEEE Transactions on  Cybernetics 期刊主编,曾任 IEEE Transactions on Systems, Man, and Cybernetics: Systems 期刊主编 (2014-2019)。陈教授曾任该学会国际总主席(President,2012-2013),资深主席 (Senior Past President,2016-2017),担任IEEE SMC学会 IEEE Fellow 的评审委员主席,常务理事及杰出演讲师。

       陈教授在国际重要学术刊物上发表论文500余篇,其中SCI文章300余篇(200余篇在IEEE Transactions),在Web of Science 他人引用10000余次,谷歌学术引用22000多次。2016年他获得了母校—美国普度大学的杰出电机及计算机工程奖(Outstanding Electrical and Computer Engineering Award)。2018年获 IEEE系统人机控制论的最高学术奖--IEEE 诺伯特·维纳奖(Norbert Wiener Award)。2018和2019年连续两年入选科瑞唯安(Clarivate)全球高被引科学家。

学历

◆ 博士, 美国普渡大学,美国,1985-1988

◆ 硕士,美国密歇根大学安娜堡分校,美国,1983-1985

教学经历

本科课程

◆ 计算机网络(Computer Networking)

◆ 程序语言(Program Languages)

◆ 计算机控制(Computer Controls)

◆ 机器人(Robotics)

研究生课程

◆ 计算智能(Computational Intelligence)

◆ 神经网络(Neural Networks)

◆ 高级计算机工程数学(Advanced Computer Engineering Mathematics)

◆ 机器人和控制(Robotics and Controls)

工作经历

◆ 2019-至今    院长,华南理工大学计算机科学与工程学院(中国,广州)

◆ 2010-至今    讲座教授,前院长(2010-2017),澳门大学科学与技术学院(中国,澳门)

◆ 2005-2009   副院长,德州大学圣安东尼分校电机及计算工程系(美国,德州)

◆ 2002-2010    教授, 德州大学圣安东尼分校电机及计算工程系(美国,德州)

◆ 1989-2002    教授 (1999), 副教授 (1995), 助理教授, 莱特州立大学计算机科学及工程系(美国,俄亥俄州)

◆ 1988-1989    访问助理教授, 普渡大学(美国,印第安纳州)

获奖情况

2019年12月   广东省科技进步奖一等奖(跨域多维电子围网关键技术及应用)。

◆ 2016年7月    澳门自然科学奖(用于建模的计算智能系统、跟踪控制中的决策支持和城市交通援助)    自然科学。

◆ 2014年7月    澳门自然科学奖(特征分析与多媒体安全技术)    澳门自然科学。

社会兼职

2020 年-至今,担任 IEEE Transactions on  Cybernetics (IF: 10.387)    期刊主编 

◆ 2014年-2019年,担任IEEE Transactions on Systems, Man, and Cybernetics: Systems (IF: 7.351)    期刊主编。

◆ 2012年-2013年,担任IEEE Systems, Man, and Cybernetics Society学会主席 (President),并于2014年-2017年担任

    该学会的Senior/Junior Past President;

◆ 2012年-至今,分别担任中国自动化学会常务理事(第九届理事会)以及中国自动化学会副理事长(2017第十届理会);

◆ 2009年,IEEE Int'l Conference on Systems, Man, and Cybernetics,大会主席(General Chair),同时2016年和2017

   年担任大会联合主席(General Co-Chairs);

◆ 担任IEEE Transactions on Fuzzy Systems (IF:7.671)期刊的副主编 (associate editor);担任IEEE Transactions on

   Cybernetics (IF:8.803)期刊的副主编 (associate editor)

研究方向

 ◆计算智能系统(Computational intelligent systems)。

◆ 计算机网络、位置和信息安全(Computer networking, location and information security)。

◆ 数据挖掘和知识发现(Data mining and knowledge discovery)

◆ 信息和视频索引、检索、安全和通信(Information and video indexing,      retrieval, security, and communications)

◆ 系统、控制论和机器人(Systems, Cybernetics, and Robotics)

科研项目

◆ 2018年-至今    机器人和控制    人工智能。

◆ 2016年-2017年    高级计算机工程学    人工智能。

发表文章

Google Scholar

近五年发表的论文

1、Yan-Jun Liu, Shaocheng Tong, C. L. Philip Chen and Dong-Juan Li, Adaptive NN Control Using Integral      Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems, IEEE Transactions On Cybernetics,  Volume: 47, Issue: 11, Pages: 3747-3757, Published: NOV 2017. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

2、Ci Chen, Zhi Liu , Kan Xie, Yanjun      Liu, Yun Zhang, and C. L. Philip Chen, Adaptive Fuzzy Asymptotic      Control of MIMO Systems With Unknown Input Coefficients Via a Robust      Nussbaum Gain-BasedApproach, IEEE Transactions on Fuzzy Systems, Volume: 25, Issue: 5, Pages: 1252-1263, Published: OCT 2017. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

3、Guoxing Wen, C. L. Philip Chen, Yan-Jun Liu, Zhi Liu, Neural Network-Based Adaptive Leader-Following      Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems, IEEE Transactions On Cybernetics, Volume: 47,      Issue: 8, Special Issue: SI Pages: 2151-2160, Published: AUG 2017. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

4、Yan-Jun Liu, Shu Li, Shaocheng Tong, C. L. Philip Chen, Neural Approximation-Based Adaptive Control for a      Class of Nonlinear Nonstrict Feedback Discrete-Time Systems, IEEE Transactions On Neural Networks And Learning Systems, Volume: 28,Issue: 7, Pages: 1531-1541, Published: JUL 2017. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

5、Chen. C, Liu. Z, Zhang. Y, C. L.Philip Chen, Xie. SL, Asymptotic Fuzzy Tracking Control for a Class of Stochastic Strict-Feedback Systems, IEEE Transactions on Fuzzy Systems, Volume: 25, Issue: 3, Pages: 556-568, Published: JUN 2017. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

6、Licheng Liu, Long Chen, C. L. Philip Chen, Yuan Yan Tang, Chi Man Pun, Weighted Joint Sparse Representation for Removing Mixed Noise in Image, IEEE Transactions On Cybernetics, Volume: 47, Issue: 3, Pages: 600-611, Published: MAR 2017. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

7、W. J. Cao, Y. C. Zhou, C. L. Philip Chen, and L. M. Xia, “Medical Image Encryption Using Edge Maps,” Signal      Processing, Volume: 132, Pages: 96-109, Published: MAR 2017.

8、Lai. GY, Liu. Z, Zhang. Y, C. L. Philip Chen, Xie, SL, Asymmetric Actuator Backlash Compensation in Quantized Adaptive Control of Uncertain Networked Nonlinear Systems, IEEE Transactions On Neural Networks And Learning Systems, Volume: 28, Issue: 2, Pages: 294-307, Published: FEB 2017 https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

9、Lai. GY, Liu. Z, Zhang. Y, C. L. Philip Chen, Xie. SL, Liu. YJ, Fuzzy Adaptive Inverse Compensation Method to Tracking Control of Uncertain Nonlinear Systems With Generalized Actuator Dead Zone,IEEE Transactions on Fuzzy Systems, Volume: 25, Issue: 1, Pages: 191-204, Published: FEB 2017 https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

10、Y. M. Cheung, M. Li, Q. M. Peng, and C. L. Philip Chen, “A Cooperative Learning-Based Clustering Approach To Lip Segmentation Without Knowing Segment Number,” IEEE Transactions On Neural Networks And Learning Systems, Volume: 28, Issue: 1, Pages: 80-93, Published: Jan, 2017.

11、C. L. Philip Chen, T. Zhang, L. Chen, and S. K. Tam, “I-Ching Divination Evolutionary Algorithm and its Convergence Analysis,” IEEE Transactions On Cybernetics, Volume: 47, Issue: 1, Pages: 2-13, Published: Jan 2017.

12、J. W. Duan, L. Chen, and C. L. Philip Chen, “Multifocus Image Fusion Using Superpixel Segmentation And      Superpixel-Based Mean Filtering,” Applied Optics, Volume: 55, Issue: 36, Pages: 10352-10362, Published: Dec 20, 2016.

13、Cheng Lian, Zhigang Zeng, W. Yao, H. M. Tang, and C. L. P. Chen, “Landslide Displacement Prediction With      Uncertainty Based on Neural Networks With Random Hidden Weights,” IEEE Transactions on Neural Networks and Learning Systems, Volume: 27, Issue: 12, Pages: 2683-2695, Published: Dec, 2016.

14、Wang, Fang; Liu, Zhi; Zhang, Yun“Adaptive Quantized Fuzzy Control of Stochastic Nonlinear Systems With      Actuator Dead-Zone,”Information Sciences, Volume: 370, Pages: 385-401, Published: Nov 20, 2016.

15、Ci Chen, Zhi Liu, Y. Zhang, C. L. P. Chen, and S. L. Xie, “Saturated Nussbaum Function Based Approach for      Robotic Systems with Unknown Actuator Dynamics,” IEEE Transactions on Cybernetics, Volume: 46, Issue: 10, Pages: 2311-2322, Published: Oct, 2016. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

16、Guanyu Lai, Zhi Liu, C. L. Philip Chen, and Y. Zhang “Adaptive Asymptotic Tracking Control Of Uncertain      Nonlinear System With Input Quantization,” Systems & Control Letters, Volume: 96, Pages: 23-29, Published: OCT, 2016.

17、C. L. P. Chen, D. C. Tao, X. G. You,“Big Learning In Social Media Analytics,” Neurocomputing, Volume: 204,      SI, Pages: 1-2, Sep 5, 2016.

18、Hanzhen Xiao, Zhijun LiC. L. Philip Chen, “Formation Control of Leader-Follower Mobile Robots' Systems Using Model Predictive Control Based on Neural-Dynamic Optimization,” IEEE Transactions on Industrial Electronics, Volume: 63, Issue: 9, Pages: 5752-5762, Published: SEP, 2016.

19、Cheng Lian, C. L. Philip Chen, Zhigang Zeng, W. Yao, and H. M. Tang, “Prediction Intervals for Landslide Displacement Based on Switched Neural Networks,” IEEE Transactions  on Reliability, Volume: 65, Issue: 3, Pages: 1483-1495, Published: Sep, 2016.

20、C. L. Philip Chen, Chang-E Ren, Tao Du, “Fuzzy Observed-Based Adaptive Consensus Tracking Control for      Second-Order Multiagent Systems with Heterogeneous Nonlinear Dynamics,” IEEE Transactions on Fuzzy Systems, Volume: 24, Issue: 4, Pages: 906-915, Published: Aug, 2016.

21、Tong Zhang, Long Chen, and C. L.Philip Chen, “Clustering Algorithm Based on Spatial Shadowed Fuzzy C-means and I-Ching Operators,” International Journal of Fuzzy Systems, Volume: 18, Issue: 4, Pages: 609-617, Published: Aug, 2016.

22、C. L. P. Chen, G.X. Wen, Y. J. Liu, and Z. Liu, “Observer-Based Adaptive Backstepping Consensus Tracking      Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems,” IEEE Trans. on Cybernetics Vol. 46, Issue 7, pp. 1591-1601, July 2016. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

23、Y. J. Liu, J. Li, S. C. Tong, and C. L. P. Chen, “Neural Network Control-Based Adaptive Learning Design for      Nonlinear Systems With Full-State Constraints,” IEEE Trans. on  Neural Networks and Learning Systems, Vol. 27, Issue 7, pp. 1562-1571, July 2016. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

24、Guanyu Lai, Zhi Liu, Yun Zhang, and C. L. P. Chen, “Adaptive Fuzzy Tracking Control of Nonlinear Systems With Asymmetric Actuator Backlash Based on a New Smooth Inverse”, IEEE Transactions on Cybernetics, Volume: 46, Issue: 6, pp. 1250-1262, Jun, 2016.

25、Z. Liu, F. Wang, Y. Zhang, and C.L.P. Chen, “Fuzzy Adaptive Quantized Control for a Class of Stochastic      Nonlinear Uncertain Systems,” IEEE Trans. on Cybernetics, Vol. 46, Issue 2, Special Issue: SI, pp. 524-534, FEB 2016. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

26、F. Wang, Z. Liu, Y. Zhang, C.L.P. Chen, “Adaptive Fuzzy Control for a Class of Stochastic Pure-Feedback      Nonlinear Systems With Unknown Hysteresis,” IEEE Trans. Fuzzy Systems, Vol. 24, No. 1, pp. 140-152, Feb. 2016. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

27、Yanjun Liu, Shaocheng Tong, C. L. Philip Chen, and Dongjuan Li, “Neural Controller Design-Based Adaptive      Control for Nonlinear MIMO Systems with Unknown Hysteresis Inputs,” IEEE Trans. on Cybernetics, Vol. 46, Issue 1, pp. 9-19, Jan., 2016. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

28、Yanjun Liu, Ying Gao, Shaocheng Tong, and C. L. Philip Chen, “A Unified Approach to Adaptive Neural Control for Nonlinear Discrete-Time Systems With Nonlinear Dead-Zone Input,” IEEE Trans. on Neural Networks and Learning Systems, Vol. 27, Issue 1, pp. 139-150, Jan., 2016. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

29、Zhi Liu, Guanyu Lai, Yun Zhang, and C. L. Philip Chen, “Adaptive Fuzzy Tracking Control of Nonlinear Time-Delay Systems with Dead-Zone Output Mechanism Based on a Novel Smooth Model,” IEEE Transactions on Fuzzy Systems, Volume: 23, Issue: 6, Pages: 1998-2011, DEC 2015.

30、C. L. Philip Chen, Chun-Yang Zhang, Long Chen, and Min Gan, “Fuzzy Restricted Boltzmann Machine for the      Enhancement of Deep Learning,” IEEE Transactions on Fuzzy Systems, Volume: 23,  Issue: 6, Pages: 2163-2173, DEC 2015.

31、Y. Y. Tang, Yulong Wang, Luoqing Li, and C. L. Philip Chen, “Structural Atomic Representation for      Classification,” IEEE Transactions on Cybernetics, Volume: 45, Issue: 12, Pages: 2905-2913,    DEC 2015.

32、Xinge You, Weihua Ou, C. L. Philip Chen, Qiang Li, Ziqi Zhu, and Y. Y. Tang, “Robust Nonegative Patch      Alignment for Dimensionality Reduction,” IEEE Trans on Neural Networks and Learning Systems, Vol. 26, Issue 11, pp. 2760-2771, Nov, 2015.

33、Jialu Du, Xin Hu, Hongbo Liu, and C. L. Philip Chen,  “Adaptive Robust Output Feedback Control for a      Marine Dynamic Positioning System Based on a High-Gain Observer,” IEEE Transactions on Neural Networks and Learning Systems, Volume: 26, Issue: 11, Pages: 2775-2786, NOV 2015.

34、C. L. Philip Chen, Licheng Liu, Long Chen, Y. Y. Tang, and Yicong Zhou, “Weighted Couple Sparse Representation with Classified Regularization for Impulse Noise Removal,” IEEE Transactions on Image Processing, Vol. 24, No. 11, pp. 4014-4026, Nov. 2015.

35、Xiaojie Su, Ligang Wu, Peng Shi, and C. L. Philip Chen, “Model Approximation for Fuzzy Switched Systems with Stochastic Perturbation,” IEEE Transactions on Fuzzy Systems, Volume: 23, Issue:  5,   Pages: 1458-1473, OCT 2015. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

36、Chun-Yang Zhang, C. L. Philip Chen,      Min Gan, and L. Chen,  “Predictive Deep Boltzmann Machine for      Multiperiod Wind Speed Forecasting,” IEEE Transactions on      Sustainable Energy, Volume: 6  Issue: 4, Pages: 1416-1425, OCT      2015

37、C. L. Philip Chen, Licheng Liu, Long      Chen, Y. Y. Tang, and Yicong Zhou, “Weighted Couple Sparse Representation      with Classified Regularization for Impulse Noise Removal,” IEEE      Transactions on Image Processing, Vol. 24, No. 11, pp. 4014-4026, Nov.      2015.

38、Yicong Zhou, ZY Hua, CM Pun, and C. L.      Philip Chen, Cascade Chaotic System with Applications,” IEEE      Trans. on Cybernetics, Vol. 25, Issue 9, pp. 2001-2012, Sept 2015.

39、Guo-Xing Wen, C. L. Philip Chen,      Yan-Jun Liu, and Zhi Liu, “Neural-Network-based Adaptive Leader-Following      Consensus Control for Second-Order Nonlinear Multi-agent Systems,” IET      Control Theory and Applications, Vol. 9, No. 13, pp. 1927-1934, Aug,      2015. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

40、Yan-Jun Liu, Li Tang, Shaocheng Tong,      and C. L. Philip Chen, “Adaptive NN Controller Design for a Class of      Nonlinear MIMO Discrete-Time Systems,” IEEE Trans on Neural      Networks and Learning Systems, Vol. 26, Issue 5, pp. 1007-1018, May,      2015. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

41、Zhongyun Hua, Yicong      Zhou, Chi-Man Pun, C. L. Philip Chen, “ 2D Sine Logistic modulation      map for image encryption,” Information Sciences, Vol. 297, pp. 80-94,      March 10, 2015 https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

42、Z. Liu, Ci Chen, Yun Zhang, and C. L.      Philip Chen, “Adaptive Neural Control for Dual-arm Coordination of      Humanoid Robot With Unknown Nonlinearities in Output Mechanism,”       IEEE Trans. on Cybernetics, Vol. 45, Issue 3, pp. 521-532,      March 2015. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

43、Y. Zhou, J. Peng, and C. L. Philip      Chen, “Dimension Reduction Using Spatial and Spectral Regularized Local      Discriminant Embedding for Hyperspectral Image Classification,” IEEE      Trans. on Geoscience and Remote Sensing,      DOI: 10.1109/TGRS.2014.2333539, Vol. 53, Issue 2, pp. 1082-1095, Feb,      2015. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

44、Yan-Jun Liu,  Li Tang, Shaocheng      Tong, and C. L. Philip Chen, Reinforcement Learning Design-Based      Adaptive Tracking Control with Less Learning Parameters for Nonlinear      Discrete-Time MIMO Systems,” IEEE Trans on Neural Networks and      Learning Systems, Vol. 26, Issue 1, pp. 165-176, Jan, 2015. https://www.fst.um.edu.mo/en/staff/documents/pchen/Highly%20cited%20paper%20picture.jpg

Honors in ISI Web of Knowledge

Thirty-Two papers listed in “Highly Cited Papers” (高度被引用論文), within top 1% of papers published in ISI database, 5 of which are in top 0.1% (see baseline indices), by the ISI Web of Knowledge, Essential Science Indicators (基本科學指標) from May 2006 to May 2016 (10-year window frame) at the same time. These are:

  • One paper in IEEE TRANS on NEURAL NETWORKS, Vol. 22, No. 7, pp. 1162-1167, JUL 2011.

  • One paper in IEEE TRANS on NEURAL NETWORKS, Vol. 22, No. 8, pp. 1328-1334, AUG 2011.

  • One paper in IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, Vol. 14, No. 4, pp. 981-997, 2012.

  • One paper in FUTURE GENERATION COMPUTER SYSTEMS, Vol. 28, No. 2, pp. 391-404, FEB 2012.

  • One paper in IEEE TRANS on FUZZY SYSTEMS, Vol. 21, No. 2, pp. 275-288, APR 2013.

  • One paper in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , Vol. 52, No. 1, pp. 574-581, JAN 2014.

  • One paper in Signal Processing, Vol. 97, pp. 172-182, APR 2014.

  • One paper in IEEE TRANS on CYBERNETICS, Vol. 44, No. 5, pp. 583-593, MAY 2014.

  • One paper in IEEE TRANS on NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 25, No. 6, pp. 1217- 1226, JUN 2014.

  • One paper in INFORMATION SCIENCES, Vol. 275, pp. 314-347, AUG 10, 2014.

  • One paper in IEEE TRANS on NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 26, No. 1, pp. 165- 176, JAN 2015.

  • One paper in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , Vol. 53, No. 2, pp. 1082-1095, FEB 2015.

  • One paper in IEEE TRANS on CYBERNETICS, Vol. 45, No. 3, pp. 521-532, MAR 2015.

  • One paper in INFORMATION SCIENCES, Vol. 297, pp. 80-94, MAR 10, 2015.

  • One paper in IEEE TRANS on NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 26, No. 5, pp. 1007- 1018, MAY 2015.

  • One paper in IET CONTROL THEORY AND APPLICATIONS, Vol. 9, No. 13, pp. 1927-1934, AUG 27 2015.

  • One paper in IEEE TRANS on FUZZY SYSTEMS, Vol. 23, No. 5, pp. 1458-1473, OCT 2015.

  • One paper in IEEE TRANS on NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 27, No. 1, pp. 139-150, JAN 2016.

  • One paper in IEEE TRANS on CYBERNETICS, Vol. 46, No. 1, pp. 9-19, JAN, 2016.

  • One paper in IEEE TRANS on CYBERNETICS, Vol. 46, No. 2, pp. 524-534, FEB 2016.

  • One paper in IEEE TRANS on FUZZY SYSTEMS, Vol. 24, No. 1, pp. 140-152, FEB 2016.

  • One paper in IEEE TRANS on CYBERNETICS, Vol. 46, No. 7, pp. 1591-1601, JUL 2016.

  • One paper in IEEE TRANS on NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 27, No. 7, pp. 1562-1571, JUL 2016.

  • One paper in IEEE TRANS on CYBERNETICS, Vol. 46, No. 10, pp. 2311-2322, OCT 2016.

  • One paper in IEEE TRANS on FUZZY SYSTEMS, Vol. 25, No. 1, pp. 191-204, FEB 2017.

  • One paper in IEEE TRANS on NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 28, No. 2, pp. 294-307, FEB 2017.

  • One paper in IEEE TRANS on CYBERNETICS, Vol. 47, No. 3, pp. 600-611, MAR 2017.

  • One paper in IEEE TRANS on FUZZY SYSTEMS, Vol. 25, No. 3, pp. 556-568, JUN 2017.

  • One paper in IEEE TRANS on NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 28, No. 7, pp. 1531-1541, JUL 2017.

  • One paper in IEEE TRANS on CYBERNETICS, Vol. 47, No. 8, pp. 2151-2160, AUG 2017.

  • One paper in IEEE TRANS on FUZZY SYSTEMS, Vol. 25, No. 5, pp. 1252-1263, OCT 2017.

  • One paper in IEEE TRANS on CYBERNETICS, Vol. 47, No. 11, pp. 3747-3757, NOV 2017.