Publications
Monograph
 Ying Tan, Handbook
of Research on Fireworks Algorithms and Swarm Intelligence, IGI Global,
USA, 2020.04
Hardcover: 500 pages Publisher: IGI Global; 1 edition (April 6, 2020), Language: English,
ISBN10: 1799816591,ISBN13: 9781799816591.
 Ying Tan, 人工智能之路，清华大学出版社，2019.10.01.
ISBN：9787302530947
 Ying Tan, 人工智能知识讲座, 人民出版社,20180401.ISBN：9787010188300.
 Ying Tan, Fireworks
Algorithm, Springer, 2015.10. [TOC with samples], [Book at Springer.Com], [SpringerLinkHome], ISBN:
9783662463529.
 Ying Tan, AntiSpam Techniques Based on Artificial Immune System, CRC Press/Taylor
& Francis, 2016.01.[TOC with
samples], [Book at Amazon.Com], ISBN: 9781498725187.
 Ying Tan, Artificial Immune System: Applications in Computer Security, Wiley &
IEEE, May 2016.[TOC with samples],
[Book at Amazon.Com], ISBN: 9781119076285.
 Ying Tan, GPUbased Parallel Implementation of Swarm Intelligence
Algorithms, Morgan Kaufmann (Elsevier), 2016.[Online Version] ISBN:
9780128093627. 2016 Elsevier Inc. All rights reserved.
 谭营(著)，《烟花算法引论》, 科学出版社, 2015.04. [目录与样章]
(ISBN：9787030440853，303页，TP6972.01，40万字)
 Ying Tan, Swarm Intelligence: Volume 1: Principles, current algorithms and methods. Vol
1, IET (The Institution of Engineering and Technology), 2018.
ISBN:9781785616297.
 Ying Tan, Swarm Intelligence: Volume 2: Innovation, new algorithms and methods. Vol
2 , IET (The Institution of Engineering and Technology),
2018. ISBN:9781785616297.
 Ying Tan, Swarm Intelligence: Volume 3: Applications. Vol
3 , IET (The Institution of Engineering and Technology),
2018. ISBN:9781785616297.
 Ying Tan, Handbook
of Research on Design, Control, and Modeling of Swarm Robotics, IGI Global,
USA, 2015.12. [CFC],
Hardcover: 854 pages Publisher: IGI Global; 1 edition (December 9, 2015), Language: English,
ISBN10: 1466695722,ISBN13: 9781466695726.
Books and Textbooks
 谭营, (译), A.P. Engelbrecht(著)，《计算智能导论》, 清华大学出版社, 2010.06,
ISBN:9787302222057. [ Details]
 谭营, (译), A.P. Engelbrecht(著)，《计算群体智能基础》,清华大学出版社, 2009.10,
ISBN:9787302208969. [ Details]
Special Issues In International Journals
 Guest Editors: Y. Tan and Y. Shi,X. Yao, J. Baetens, M. Kutrib, Special Issue on "Advances in
Swarm Intelligence: Algorithms and Applications" , Natural Computing,
December. 2020, vol. 19, Issue 4, pp. 643645. [Preface] and [Link]
 Guest Editors: Y. Tan and Y. Shi, Special Issue on "Swarm Intelligence for Computational Biology
and Bioinformatics," IEEE/ACM Transactions on Computational Biology and
Bioinformatics (TCBB), Nov/Dec. 2018, vol. 15, No. 6, pp. 17522100. [Preface] and [Contents]
 Guest Editors: Y. Tan, Y. Shi and X. Yao, Special Issue on "Swarm Intelligence Algorithms and
Applications II", Natural Computing, December 2017, Vol. 16, Issue 4, pp
507509. Springer. ISSN: 15677818(Print) 15729796(Online), [Preface] and [html]
 Guest Editors: Y. Tan and Y. Shi, Special Issue on "Swarm Intelligence for Computational Biology
and Bioinformatics," IEEE/ACM Transactions on Computational Biology and
Bioinformatics (TCBB), Jan/Feb. 2017, vol. 14, No. 1, pp. 1120. [Preface] and [Contents]
 Guest Editors: Y. Tan, Y. Shi and X. Yao, Special Issue on “Advances in Swarm Intelligence
Algorithms and Application 1", Natural Computing, Jan. 2017, vol. 16,
No. 1, pp. 14.
Springer. ISSN: 15677818 (Print) 15729796 (Online), [Preface]
 Guest Editors: Y. Tan, Andreas Janecek and Jianhua Liu, Special Issue on "Developments and
Applications of Fireworks Algorithm", International Journal of Swarm Intelligence
Research (IJSIR), AprilJune 2015, vol. 6, No. 2, pp. i, 1132. IGI Global. [html]
 Guest Editors: Y. Tan, Andreas Janecek and Jianhua Liu, Special Issue on "Developments and
Applications of Fireworks Algorithm (Cont'd)", International Journal of Swarm
Intelligence Research (IJSIR), SevenSeptember 2015, vol. 6, No. 3, pp. i, 183.
IGI Global. [html]
 Guest Editor: Ying Tan, Special Issue on "Advances in Swarm Intelligence for Neural
Networks", Neurocomputing, Vol. 148, 19 January 2015, Elsevier,
ISBN:09252312(20150119)148:C; 1S, pp. 1197. [Details]
 Guest Editors: Y. Tan and Yuhui Shi, Special Issue on "Advances in Swarm Intelligence: Theories,
Algorithms and Applications", International Journal of Swarm Intelligence Research
(IJSIR), JanuaryMarch 2013, vol. 4, No. 1, pp. i, 1132. IGI Global. [pdf]
 Guest Editors: F.C. Sun, Y. Tan and H.P. Liu, Special Issue: "Prediction, Control and Diagnosis
using Advanced Neural Computations", Information Sciences, Vol. 237, 10
July 2013, pp. 1160, Elseiver. [pdf]
 Guest Editors: Y. Tan, Nik Kasabov, Special Issue on "Swarm Intelligence Algorithms and
Applications",International Journal of Artificial Intelligence, Vol. 6, no. 4,
Autumn, 2011 pp.110291. [pdf]
2020
Journal Papers

Ying Tan, Yuhui Shi and Xin Yao, "Preface: Advances in Swarm Intelligence: Algorithms and
Applications 2"; Natural Computing, Sep. 2020.vol. 19, issue 4, pp. 643654
[Link]
 Quanbin Wang, Prof. Ying Tan, Chinese
grammatical error correction method based on data augmentation and copy
mechanism"(基于数据增广和复制的中文语法错误纠正方法) 《智能系统学报》 第15卷 20201期
pp. 99106[pdf]
 Liu, Xiangyu, and Ying Tan. “Attentive Relational State Representation in Decentralized
Multiagent Reinforcement Learning.” IEEE Transactions on
Cybernetics, Mar 27 2020,
pp. 1–13, doi: 10.1109/TCYB.2020.2979803.[pdf]
 Guangzhi Xu, Rui Li, Junling hao, Xinchao Zhao and Ying Tan. “A New MultiStage Perturbed
Differential Evolution with MultiParameter
Adaption and Directional Difference.” Natural Computing, vol. 19, no. 4, 2020,
pp. 1–16.
[pdf]

Yihua Hu, Minle Li, Xiangyu Liu and Ying Tan. “MultiSource, MultiObject and MultiDomain
(MSOD) Electromagnetic
Interference System Optimised by Intelligent Optimisation Approaches.” Natural
Computing, vol.
19, no. 4, 2020, pp. 713–732.
[pdf]

谭营. "提升前沿科技领域治理能力需把握好七个重点." 《国家治理》 Z1(2020) 总第299期 2020 pp. 1216.
[link]
Conference Papers
 Tao Ma and Ying Tan. “Adaptive and Dynamic Knowledge Transfer in MultiTask Learning with
Attention Networks.” International Conference on Data Mining and Big Data
(DMBD), Belgrade, Serbia, July 14–20, 2020, CCIS, volume 1234, pp. 1–13. [pdf]
 Quanbin Wang and Ying Tan. “Grammatical Error Detection with Self Attention by Pairwise
Training". In 2020 International Joint Conference on Neural Networks (IJCNN)
19 – 24th July, 2020, Glasgow (UK), pp. 17, doi: 10.1109/IJCNN48605.2020.9206715. [pdf]
 Tao Ma and Ying Tan. “Multiple Stock Time Series Jointly Forecasting with MultiTask Learning".
In 2020 International Joint Conference on Neural Networks (IJCNN) 19 – 24th
July, 2020, Glasgow (UK), pp. 18, doi: 10.1109/IJCNN48605.2020.9207543.
pp. 18 [pdf]
 Yifeng Li and Ying Tan. “MultiScale Collaborative Fireworks Algorithm.” 2020 IEEE
Congress on
Evolutionary Computation (CEC), 19 – 24th July, 2020, Glasgow (UK), pp. 18, doi:
10.1109/CEC48606.2020.9185563. [pdf]
 Xiangyu Liu and Ying
Tan. "Feudal Latent Space Exploration for Coordinated Multiagent Reinforcement
Learning." Adaptive and Learning Agents Workshop at International Conference on
Autonomous Agents and MultiAgent Systems(AAMAS) 2020
9  10 May 2020, Auckland, New Zealand. ;[pdf]
2019
Journal Papers
 Gaige Wang and Ying Tan, "Improving Metaheuristic Algorithms With Information Feedback
Models," in IEEE Transactions on Cybernetics, vol. 49, no. 2, Feb. 2019, pp. 542555 [Link][Pdf]

Junzhi Li and Ying Tan "A Comprehensive Review of the Fireworks Algorithm" ACM
Computing Surveys (IF=6.131) , vol. 52, no. 6, 2020, pp. 1–28. [Link][Pdf]
 Weidi Xu and Ying Tan "Semisupervised Text
Classification by Variational Autoencoder"IEEE Transactions on Neural Networks and
Learning Systems, vol. 31, no. 1, 2020, pp. 295–308. [link] [PDF]
 Jie Li and Ying Tan. "A Probabilistic Finite State
Machine based Strategy for MultiTarget Search Using Swarm Robotics" Applied Soft
Computing （SCI, EI检索）(学院A类期刊论文)(IF=3.541), vol. 77, 2019, pp. 467–483. [link] [PDF]
 Jie Li and Ying Tan. "A TwoStage Imitation Learning
Framework for the MultiTarget Search Problem in Swarm
Robotics" Neurocomputing, vol. 334, 2019, pp. 249–264. [link] [PDF]
 Weidi Xu and Ying Tan. "Semisupervised
Targetoriented Sentiment Classification" Neurocomputing, vol. 337, 2019,
pp. 120–128. [link] [PDF]
 Yihua Hu, Minle Li, Xiangyu Liu and Ying Tan.
"Multisource, Multiobject and Multidomain (MSOD) Electromagnetic Interference System
Optimised by Intelligent Optimisation Approaches" Natural Computing,
19, no. 4, 2020, , pp. 713732. [link] [PDF]
Conference Papers
 Weiwei Hu, Anhong Dang, and Ying Tan, "A Survey of StateoftheArt Short
Text Matching Algorithms," 4th International Conference on Data Mining and Big
Data, DMBD 2019, Chiang Mai, Thailand,
July 26–30, 2019, CCIS, volume 1071, pp. 211–219[link] [pdf].
 Yuhao Li, Jun Yu, Hideyuki Takag and Ying Tan, "Accelerating Fireworks
Algorithm with WeightBased Guiding Sparks,"10th International Conference on Swarm
Intelligence, ICSI 2019, Chiang
Mai, Thailand, July 26–30, 2019, Proceedings, Part I, LNCS 11655, pp.
257–266[link] [pdf].
 Ying Tan, and Bo Shi, "Generative Adversarial Optimization," 10th International
Conference on Swarm Intelligence, ICSI
2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings, Part I, LNCS 11655, pp.
317[link] [pdf].
 Jun Yu, Hideyuki Takagi and Ying Tan. "Fireworks Algorithm for Multimodal
Optimization Using a Distancebased Exclusive Strategy" 2019 IEEE Congress on
Evolutionary
Computation (CEC), Wellington, New Zealand, 2019, pp. 22152220, doi:
10.1109/CEC.2019.8790312.
[link] [pdf]
 Xiangyu Liu and Ying Tan. "Learning Distributed
Coordinated Policy in Catching Game with MultiAgent Reinforcement Learning" 2019
International
Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019, pp. 17, doi:
10.1109/IJCNN.2019.8851905. [link] [pdf]
2018
Journal Papers

Jun Yu, Hideyuki Takagi and Ying Tan. "Multilayer Explosion Based Fireworks
Algorithm" International Journal of Swarm Intelligence and Evolutionary
Computation, 2018. Volume 7, Issue 3, 1000173.
[pdf]

Ying Tan, Quanbin Wang and Guyue Mi.
"Ensemble Decision for Spam Detection Using Term Space Partition Approach" IEEE
TRANSACTIONS ON CYBERNETICS, vol.
50, no. 1, 2020, pp. 297–309. （SCI, EI检索）(IF=8.8)
[pdf]

Wang KunFeng, Zuo WangMeng, Tan Ying, Qin Tao, Li Li, Wang FeiYue.
"Generative adversarial networks: from generating data to creating intelligence."
Acta Automatica Sinica, 2018, 44(5): 769774.（中文核心期刊）
[pdf]

Jun Yu, Ying Tan and Hideyuki Takagi. “Scouting
Strategy for Biasing Fireworks Algorithm Search to Promising Directions.” Proceedings
of the Genetic and Evolutionary Computation Conference Companion On ,
2018, pp. 99–100.
[pdf]
Conference Papers

Xiaolin Zhang and Ying Tan. "Deep stock ranker: a LSTM neural network model for stock
selection". In International Conference on Data Mining and Big Data(DMBD) 2018
Jun 17 pp. 614623, Shanghai China.
[pdf]

Jun Yu, Ying Tan and Hideyuki Takagi, "Scouting Strategy for Biasing Fireworks Algorithm Search
to Promising Directions" The Genetic and Evolutionary Computation Conference
(GECCO18), July 1519, 2018, Mitaka, Japan.[pdf]

Weidi Xu, Haoze Sun, Chao Deng and Ying Tan, "TextDream: Conditional Text Generation by
Searching in the Semantic Space" 2018 IEEE World Congress on Computational
Intelligence (WCCI'2018), The IEEE Congress on Evolutionary Computation
(CEC'2018), July 813, 2018, Rio de Janeiro, Brazil.[pdf]

Xuemei Ye, Junzhi Li, Bo Xu and Ying Tan, "Which Mapping Rule in the Fireworks Algorithm is
Better for Large Scale Optimization" 2018 IEEE World Congress on Computational
Intelligence (WCCI'2018), The IEEE Congress on Evolutionary Computation
(CEC'2018), July 813, 2018, Rio de Janeiro, Brazil.[pdf]

Haoran Luo, Weidi Xu and Ying Tan, "A Discrete Fireworks Algorithm for Solving LargeScale
Travel Salesman Problem" 2018 IEEE World Congress on Computational
Intelligence (WCCI'2018), The IEEE Congress on Evolutionary Computation
(CEC'2018), July 813, 2018, Rio de Janeiro, Brazil.[pdf]

Quanbin Wang and Ying Tan, "Automatic Grammatical Error Correction Based on Edit Operations
Information" The 25th International Conference, ICONIP
2018, Siem Reap, Cambodia, December 1316, 2018, Proceedings,
Part V. 10.1007/9783030042219_44. [pdf]

Weidi Xu, Yong Ren and Ying Tan, "Attention Based Dialogue Context Selection Model"
The 25th International Conference, ICONIP 2018, Siem
Reap, Cambodia, December 1316, 2018, Proceedings, Part II. 10.1007/9783030041793_25. [pdf]
2017
Journal Papers
 Junzhi Li, Ying Tan, "Loserout Tournament Based Fireworks Algorithm for Multimodal Function
Optimization"; IEEE Transactions on Evolutionary Computation(TEC),
2017. （SCI, EI检索）(学院A类期刊论文), (IF=10.629) [pdf].
 GaiGe Wang, Ying Tan, "Improving Metaheuristic Algorithms with Information Feedback Models";
IEEE Transactions on Cybernetics, 2017. （SCI, EI检索）, (IF=7.384) [pdf].
 Junzhi Li, Ying Tan, "The Bare Bones Fireworks Algorithm: A Minimalist Global
Optimizer"; Applied Soft Computing>, 62(2018): 454462. （SCI,
EI检索）(学院A类期刊论文)(IF=3.541) [pdf]One
of
the most downloaded articles from Applied Soft Computing in the last 90 days!
 Junzhi Li, Shaoqiu Zheng, and Ying Tan, "The Effect of Information Utilization: Introducing a
Novel Guiding Spark in the Fireworks Algorithm"; IEEE Transactions on Evolutionary
Computation(TEC), Vol. 21, No. 1, Jan. 2017, pp. 153166. （SCI,
EI检索）(学院A类期刊论文), (IF=10.629) [pdf].
 Ying Tan and Yuhui Shi, "Editorial: Special Section on BioInspired Swarm Computing and
Engineering"; IEEE/ACM Transactions on Computational Biology and Bioinformatics
(TCBB), vol. 14, no. 1, Jan/Feb 2017, pp. 13. [pdf].
 Ying Tan, Yuhui Shi and Xin Yao, "Preface: Swarm Intelligence Algorithms and Applications I";
Natural Computing, , vol. 16, no. 1, pp. 14, Jan. 2017.
(DOI:10.1007/s110470169594x) [pdf].
 Shaoqiu Zheng, Junzhi Li, Andreas Janecek and Ying Tan, "A Cooperative Framework for Fireworks
Algorithm" IEEE/ACM Transactions on Computational Biology and Bioinformatics
(TCBB), vol. 14, no. 1, Jan/Feb 2017, pp. 2741. [pdf].
Conference Papers
 Xu Weidi, Sun Haozhe, C. Deng and Ying Tan, "Variational Autoencoder for Semisupervised Text
Classification" the ThirtyFirst AAAI Conference on Artificial Intelligence
(AAAI17), Feb 2530, 2017, San Francisco, USA. pp.17. [pdf]
 Weiwei Hu and Ying Tan, "On the Robustness of Machine Learning Based Malware Detection"
International Joint Conference on Neural Networks (IJCNN
2017), May 2530, 2017, Anchorage, Alaska, USA. pp.17. [pdf]
 X.C. Zhao, R. Li, XQ Zuo, and Y. Tan, "EliteLeading Fireworks Algorithm"
SpringerLNCS10385, pp. 493500. Y. Tan et al. (Eds.):
ICSI 2017, Part I, LNCS 10385, pp. 493–500, 2017. DOI: 10.1007/9783319618241_54. （EI检索） [pdf]
 Yuchen Zhang, Xiujuan Lei, and Ying Tan, “Firefly Clustering Method for Mining Protein
Complexes”, Y. Tan et al. (Eds.): ICSI 2017, Part I, LNCS
10385, pp. 601–610, 2017. DOI: 10.1007/9783319618241_65.
（EI检索） [pdf]
 Xiangyu Liu and Ying Tan, “Adaptive Potential Fields Model for Solving Distributed Area Coverage
Problem in Swarm Robotics,” Y. Tan et al. (Eds.): ICSI 2017, Part II, LNCS
10386, 2017. DOI: 10.1007/9783319618333 16. （EI检索）[pdf]
 Weiwei Hu and Ying Tan, "Generating Adversarial Malware Examples for BlackBox Attacks Based on
GAN". https://arxiv.org/abs/1702.05983
2016
Journal Papers
 Ying Tan and Ke Ding, "A Survey on GPUbased Implementation of Swarm Intelligence Algorithms,"
IEEE Transactions on Cybernetics, September 2016, Vol. 46, No.9, pp.
20282041 [pdf].
 Weiwei Hu and Ying Tan, "Prototype Generation Using MultiObjective Particle Swarm Optimization
for Nearest Neighbor Classification," IEEE Transactions on Cybernetics,
2016, Vol. 46, No.12, pp. 27192731. [pdf].
 Junzhi Li, Shaoqiu Zheng, and Ying Tan, " The Effect of Information Utilization: Introducing a
Novel Guiding Spark in the Fireworks Algorithm," IEEE Transactions on Evolutionary
Computation, July 2016, Vol. pp,(Online Publication) [pdf].
 Gaige Wang and Ying Tan, "Improving Metaheuristic Algorithms with Information Feedback Models,"
IEEE Transactions on Cybernetics, 2016 (conditionally accepted) [pdf].
Conference Papers
 Junzhi Li and Ying Tan, "Enhancing Interaction in the Fireworks Algorithm by Dynamic Resource
Allocation and FitnessBased CrowdednessAvoiding Strategy, " 2016 IEEE World
Congress on Computational Intelligence (WCCI'2016), The IEEE Congress on
Evolutionary Computation (CEC'2016) , July 2530, 2016,
Vancouver, Canada, pp.17. [pdf]
 Chao Yu, Ling Chen Kelley,and Ying Tan, "Cooperative Framework Fireworks Algorithm with
Covariance Mutation, " 2016 IEEE World Congress on Computational Intelligence
(WCCI'2016), The IEEE Congress on Evolutionary Computation (CEC'2016)
, July 2530, 2016, Vancouver, Canada, pp.18. [pdf]
 Haoze Sun, Weidi Xu, Chao Deng,and Ying Tan, "Multidigit Image Synthesis Using Recurrent
Conditional Variational Autoencoder, " 2016 IEEE World Congress on
Computational Intelligence (WCCI'2016), International Joint Conference on Neural
Networks (IJCNN'2016) , July 2530, 2016, Vancouver, Canada,
pp.16. [pdf]
 Yuchen Zhang, Xiujuan Lei,and Ying Tan, "Detecting Firefly Algorithm for Numerical Optimization,
" The Seventh International Conference on Swarm Intelligence (ICSI'2016)
, June 2530, 2016, Padma Resort, Bali, Indonesia, Springer, LNCS
9712, pp.200210. [pdf]
 Weiwei Hu and Ying Tan, "Partitioning Based NGram Feature Selection for Malware Classification,
" The International Conference on Data Mining and Big Data (DMBD'2016)
, June 2530, 2016, Padma Resort, Bali, Indonesia, Springer, LNCS
9714, pp.187195. [pdf]
 Jie Li and Ying Tan, "Triangle Formation Based Multiple Targets Search Using a Swarm of Robots,
" The Seventh International Conference on Swarm Intelligence (ICSI'2016)
, June 2530, 2016, Padma Resort, Bali, Indonesia, Springer, LNCS
9713, pp.544552. [pdf]
 Guyue Mi, Yang Gao, and Ying Tan, "Term Space Partition Based Ensemble Feature Construction for
Spam Detection, " The International Conference on Data Mining and Big Data
(DMBD'2016) , June 2530, 2016, Padma Resort, Bali, Indonesia,
Springer, LNCS 9714, pp.205218. [pdf]

Junzhi Li and Ying Tan, "Information Utilization Ratio in Heuristic Optimization Algorithms",
Apr 6, 2016, arXiv:1604.01643
[Link]. [PDF]
2015
Journal Papers
 Ying Tan and Ke Ding, "A Survey on GPUbased Implementation of Swarm Intelligence Algorithms,"
IEEE Transactions on Cybernetics, October 2015, Vol. 45, [pdf].
 Weiwei Hu and Ying Tan, "Prototype Generation Using MultiObjective Particle Swarm Optimization
for Nearest Neighbor Classification," IEEE Transactions on Cybernetics,
2015. [pdf].
 Shaoqiu Zheng, Junzhi Li,Andreas Janecek, and Ying Tan, "A Cooperative Framework for Fireworks
Algorithm," IEEE/ACM Transactions on Computational Biology and Bioinformatics
(TCBB). [pdf].
 Ying Tan, Andreas Janecek and Jianhua Liu, "Editorial: Special Issue on Developments and
Applications of Fireworks Algorithm, " International Journal of Swarm Intelligence
Research (IJSIR), AprilJune 2015, vol. 6, No. 2, pp.ivvii. IGI Global.
[pdf]
 Yan Pei, Shaoqiu Zheng, Ying Tan, and Hideyuki Takagi, "Effectiveness of Approximation Strategy
in Surrogateassisted Fireworks Algorithm," International Journal of Machine
Learning and Cybernetics, October 2015, Vol. x, No. x, pp. 114. [pdf]
 K. Ding, Y. Tan, "AttractRepulse Fireworks Algorithm and its CUDA Implementation Using Dynamic
Parallelism, " International Journal of Swarm Intelligence Research
(IJSIR), AprilJune 2015, vol. 6, No. 2, pp.131. IGI Global. [pdf], [samplepdf]
 丁科, 谭营 "GPU通用计算及其在计算智能领域的应用," 《智能系统学报》, October 2014, Vol. 10, No. 1,
pp. 111. [pdf]
 Y. Tan, “A Survey on Swarm Robotics”, Handbook of Research on Design,
Control,and Modeling of Swarm Robotics, Ed. Ying Tan, IGI
Global, 2015, pp.142.ISBN 9781466695726 (hardcover)  ISBN 9781466695733 (ebook). [pdf]
 Z.Y. Zheng and Y. Tan, “Mobile Target Tracking of Swarm Robotics in Unknown Obstructive
Environment”, Handbook of Research on Design, Control,and Modeling of Swarm
Robotics, Ed. Ying Tan, IGI Global, 2015, pp.412435.ISBN
9781466695726 (hardcover)  ISBN 9781466695733 (ebook). [pdf]
 X.J. Lei, F. Wang, and Y. Tan, “Swarm Intelligent Optimization Algorithms and Its Application in
Mobile Robot Path Planning”, Handbook of Research on Design, Control,and
Modeling of Swarm Robotics, Ed. Ying Tan, IGI Global, 2015,
pp.298332.ISBN 9781466695726 (hardcover)  ISBN 9781466695733 (ebook). [pdf]
Conference Papers
 Yang Gao, Guyue Mi and Ying Tan, "Variable Length Concentration based Feature Construction
Method for Spam Detection, " 2015 International Joint Conference on Neural
Networks (IJCNN'2015) , August 2528, 2015, Killarney, Ireland,
pp.18. [pdf]
 Junzhi Li and Y. Tan, "Orienting Mutation Based Fireworks Algorithm, " 2015
IEEE Congress on Evolutionary Computation (CEC'2015) , May
2528, 2015, Sendai International Center, Sendai, Japan, pp.18. [pdf]
 Chao Yu and Y. Tan, "Fireworks Algorithm with Covariance Mutation, " 2015 IEEE
Congress on Evolutionary Computation (CEC'2015) , May 2528,
2015, Sendai International Center, Sendai, Japan, pp.18. [pdf]
 Ke Ding, Yanyang Chen, Yanbin Wang and Y. Tan, "Regional Seismic Waveform Inversion Using Swarm
Intelligence Algorithms, " 2015 IEEE Congress on Evolutionary Computation
(CEC'2015) , May 2528, 2015, Sendai International Center,
Sendai, Japan, pp.18. [pdf]
 Lang Liu, Shaoqiu Zheng and Y. Tan, "Smetric Based MultiObjective Fireworks Algorithm, "
2015 IEEE Congress on Evolutionary Computation (CEC'2015)
, May 2528, 2015, Sendai International Center, Sendai, Japan,
pp.18. [pdf]
 Shaoqiu Zheng, Chao Yu, Junzhi Li and Y. Tan, "Exponentially Decreased Dimension Number Strategy
in Dynamic Search Fireworks Algorithm for CEC2015 Competition Problems, " 2015
IEEE Congress on Evolutionary Computation (CEC'2015) , May
2528, 2015, Sendai International Center, Sendai, Japan, pp.18. [pdf]
 Chao Yu, Ling Chen Kelley and Y. Tan, "Dynamic Search Fireworks Algorithm with Covariance
Mutation for Solving the CEC 2015 Learning Based Competition Problems, " 2015
IEEE Congress on Evolutionary Computation (CEC'2015) , May
2528, 2015, Sendai International Center, Sendai, Japan, pp.18. [pdf]
 Pengtao Zhang and Y. Tan, "Hybrid Concentration Based Feature Extraction Approach for Malware
Detection, " 2015 IEEE 28th Canadian Congress on Electrical and Computer
Engineering (CCECE'2015) , May 35, 2015, Halifax, Nova Scotia,
Canada, pp.18. [pdf]
 Guyue Mi, Yang Gao, and Y. Tan, "Apply Stacked AutoEncoder to Spam Detection, "
The Sixth International Conference on Swarm Intelligence held in conjunction
with the Second BRICS Congress on Computational Intelligence (ICSICCI 2015)
, BICC, Beijing, China, June 2529, 2015. Springer, LNCS 9141, pp.
315. [pdf]
2014
Journal Papers
 P.T. Zhang and Y. Tan, "Immune Cooperation Mechanism Based Learning Framework,"
Neurocomputing, Jan. 2015, Vol. 148 pp. 158166. [pdf], [Online
Version]
 Y. Tan and G.C. Ruan "Uninterrupted Approaches for Spam Detection Based on SVM and AIS ,"
International Journal of Computational Intelligence and Pattern Recognition
(IJCIPR), March 2014, Vol. 1 No. 1 pp. 126. [pdf]
 Y. Tan, "Editorial: Special Issue on Advances in Swarm Intelligence for Neural Networks,"
Neurocomputing, Jan. 2015, Vol. 148, pp. 12. [pdf], [Online
Version]
 谭营, 郑少秋, "烟花算法研究进展," 《智能系统学报》, October 2014, Vol. 9, No. 5, pp.
515528. [pdf]
 Andreas Janecek and Ying Tan, “Swarm Intelligence for Dimensionality Reduction: How to Improve
the Nonnegative Matrix Factorization with Natureinspired Optimization Methods”,
Emerging Research on Swarm Intelligence and Algorithm
Optimization, Ed. Yuhui Shi, IGI Global, 2014. [pdf]
Conference Papers
 S.Q. Zheng, Andreas Janecek, J.Z. Li, and Y. Tan, "Dynamic Search in Fireworks Algoritm,
"2014 IEEE World Conference on Computational Intelligence (IEEE WCCI'2014) 
IEEE Congress on Evolutionary Computation (CEC'2014) , July
0711, 2014, Beijing International Convention Center (BICC), Beijing, China, pp. 32223229. [pdf]
 J.Z. Li, S.Q. Zheng, and Y. Tan, "Adaptive Fireworks Algorithm, "2014 IEEE
World Conference on Computational Intelligence (IEEE WCCI'2014)  IEEE Congress on
Evolutionary Computation (CEC'2014) , July 0711, 2014, Beijing
International Convention Center (BICC), Beijing, China, pp. 32143221. [pdf]
 J.H. Liu, S.Q. Zheng, and Y. Tan, "Analysis on Global Convergence and Time Complexity of
Fireworks Algorithm, "2014 IEEE World Conference on Computational Intelligence
(IEEE WCCI'2014)  IEEE Congress on Evolutionary Computation (CEC'2014)
, July 0711, 2014, Beijing International Convention Center (BICC),
Beijing, China, pp. 32073213. [pdf]
 K. Ding and Y. Tan, "Comparison of Random Number Generators in Particle Swarm Optimization
Algorithm, "2014 IEEE World Conference on Computational Intelligence (IEEE
WCCI'2014)  IEEE Congress on Evolutionary Computation (CEC'2014)
, July 0711, 2014, Beijing International Convention Center (BICC),
Beijing, China, pp. 26642671. [pdf]
 C. Yu, L.C. Kelley, S.Q. Zheng, and Y. Tan, "Fireworks Algorithm with Differential Mutation for
Solving the CEC 2014 Competition Problems, "2014 IEEE World Conference on
Computational Intelligence (IEEE WCCI'2014)  IEEE Congress on Evolutionary
Computation (CEC'2014) , July 0711, 2014, Beijing
International Convention Center (BICC), Beijing, China, pp. 32383245. [pdf]
 Z.Y. Zheng, J.Z. Li, J. Li, and Y. Tan, "Avoiding Decoys in Multiple Targets Searching Problems
using Swarm Robotics, " 2014 IEEE World Conference on Computational
Intelligence (IEEE WCCI'2014)  IEEE Congress on Evolutionary Computation (CEC'2014)
, July 0711, 2014, Beijing International Convention Center (BICC),
Beijing, China, pp. 784791. [pdf]
 Z.Y. Zheng, J.Z. Li, J. Li, and Y. Tan, "Improved Group Explosion Strategy for Searching
Multiple Targets using Swarm Robotics, " The 2014 IEEE International
Conference on Systems, Man, and Cybernetics, October 58,
2014,Paradise Point Resort and Spa, San Diego, California, USA. pp. 252257. [pdf]
 C. Yu, and Y. Tan, "Improving Enhanced Fireworks Algorithm with Differential Mutation, "
The 2014 IEEE International Conference on Systems, Man, and
Cybernetics, October 58, 2014,Paradise Point Resort and Spa,
San Diego, California, USA. pp. 270275. [pdf]
 X.J. Lei, M.Y. Du, J. Xu and Y. Tan, "Chaotic Fruit Fly Optimization Algorithm
" The Fifth International Conference on Swarm Intelligence (ICSI 2014)
, Hefei, China, October 1720, 2014. Springer, LNCS 8794, pp.
6473. [pdf]
 X.J. Lei, M.Y. Du, J. Xu, and Y. Tan, "Chaotic Fruit Fly Optimization Algorithm
" The Fifth International Conference on Swarm Intelligence (ICSI 2014)
, Hefei, China, October 1720, 2014. Springer, LNCS 8794, pp.
7485. [pdf]
 Y. Gao, G.Y. Mi, and Y. Tan, "An Adaptive Concentraton Selection Model for Spam Detection
" The Fifth International Conference on Swarm Intelligence (ICSI 2014)
, Hefei, China, October 1720, 2014. Springer, LNCS 8794, pp.
223233. [pdf]
 J. Zhao, X.J. Lei, Z.Q. Wu, and Y. Tan, "Clustering Using Improved Cuckoo Search Algorithm
" The Fifth International Conference on Swarm Intelligence (ICSI 2014)
, Hefei, China, October 1720, 2014. Springer, LNCS 8794, pp.
479488. [pdf]
 X. Yang, and Y. Tan, "Sample Index Based Encoding for Clustering Using Evolutionary Computation
" The Fifth International Conference on Swarm Intelligence (ICSI 2014)
, Hefei, China, October 1720, 2014. Springer, LNCS 8794, pp.
489498. [pdf]
 K. Ding, and Y. Tan, "cuROB: A GPUBased Test Suit for RealParameter Optimization
" The Fifth International Conference on Swarm Intelligence (ICSI 2014)
, Hefei, China, October 1720, 2014. Springer, LNCS 8794, pp.
6678. [pdf]
 S.Q. Zheng, L. Liu, C. Yu, J.Z. Li, and Y. Tan, "Fireworks Algorithm and Its Variants for
Solving ICSI 2014 Competition Problems " The Fifth International Conference on
Swarm Intelligence (ICSI 2014) , Hefei, China, October 1720,
2014. Springer, LNCS 8794, pp. 442451. [pdf]
 J. Li and Y. Tan, "The Multitarget Search Problem with Environmental Restrictions in Swarm
Robotics " Proceeding of the 2014 IEEE International Conference on Robotics
and Biomimetics (Robio 2014) , Bali, Indonesia, December 510,
2014. IEEE, pp. 26852690. [pdf]
2013
Journal Papers
 Y. Tan, C. Yu, S.Q. Zheng and K. Ding "Introduction to Fireworks Algorithms ,"
International Journal of Swarm Intelligence Research (IJSIR),
OctoberDecember 2013, vol. 4, No. 4, pp. 3971. [pdf]
 Y. Tan, "Swarm Robotics: Collective Behavior Inspired by Nature," Journal of Comput
Sci Syst Biol (JCSB), 6: e106. doi:10.4172/jcsb.1000e106. [pdf]
 S. Gu, Y. Tan and X. He "Recentness biased Learning for Time Series Forecasting,"
Information Sciences, Vol. 237, 10 July 2013, pp. 2938. [pdf], [Online
Version], [Facebook]
[Twitter]
 J.Wang and Y.Tan "Efficient Euclidean Distance Transform Algorithm of Binary Images in Arbitrary
Dimensions," Pattern Recognition, Vol.46, no.1, 2013, pp.230242. [pdf], [Online Version]
 Y. Tan and Zhongyang Zheng "Research Advance in Swarm Robotics ," Defence
Technology, March 2013, vol. 9, No. 1, pp. 3162. or pp.1839, Elsevier.
[pdf]
 F.C. Sun, Y. Tan and H.P. Liu "Special Issue: Prediction, Control and Diagnosis using Advanced
Neural Computations," Information Sciences, Vol. 237, 10 July 2013,
pp. 12. [pdf]
 Y. Tan and P.T. Zhang "Immune based Computer Virus Detection Approaches ," CAAI
Transactions on Intelligent Systems, Vol.8, No. 1, 2013, pp. 8094. [pdf]
 Y. Tan and Yuhui Shi "Special Issue on Advances in Swarm Intelligence: Theories, Algorithms and
Applications: Guest Editoral Preface ," International Journal of Swarm Intelligence
Research (IJSIR), JanuaryMarch 2013, vol. 4, No. 1, pp. i, 1132. [pdf]
Conference Papers
 Y. Tan, G.Y. Mi, Y.C. Zhu, and C. Deng, "Artificial Immune System Based Methods for Spam
Filtering "2013 IEEE International Symposium on Circuits and Systems (IEEE
ISCAS 2013), May 1923, 2013, China National Convention Center
(CNCC), Beijing, China, pp. 24842488. [pdf]
 K. Ding, S.Q. Zheng and Y. Tan, "A GPUbased Parallel Fireworks Algorithm for Optimization
"ACM Genetic and Evolutionary Computation Conference (GECCO 2013) a
recombiination of 22nd International Conference on Genetic Algorithms (ICGA) and the
18th Annual Genetic Programming Conference (GP) , Amsterdam,
The Netherlands, July 0610, 2013. pp. 18. [pdf]
 G.Y. Mi, P.T. Zhang and Y. Tan, "A MultiResolutionConcentration Based Feature Construction
Approach for Spam Filtering "The International Joint Conference on Neural
Networks (IJCNN 2013) , Fairmont Hotel, Dallas, TX, USA, August
49, 2013. pp. 18. [pdf]
 G.Y. Mi, P.T. Zhang and Y. Tan, "Feature Construction Approach for Email Categorization Based on
Term Space Partition "The International Joint Conference on Neural Networks
(IJCNN 2013) , Fairmont Hotel, Dallas, TX, USA, August 49,
2013. pp. 18. [pdf]
 Z. Y. Zheng and Y. Tan, "Group Explosion Strategy for Searching Multiple Targets using Swarm
Robotic "2013 IEEE Congress on Evolutionary Computation, (IEEE CEC 2013)
, June 2023, Fiesta Americana Grand Coral Beach Hotel, Cancun,
Mexico, pp. 18. [pdf]
 Shaoqiu Zheng, Andreas Janecek and Ying Tan, "Enhanced Fireworks Algorithm
"2013 IEEE Congress on Evolutionary Computation, (IEEE CEC 2013)
, June 2023, Fiesta Americana Grand Coral Beach Hotel, Cancun,
Mexico, pp. 1019. [pdf]
 S.Q. Zheng and Y. Tan, "A Unified Distance Measure Scheme for Orientation Coding in
Identification "Third International Conference on Information Science and
Technology (ICIST 2013) , Yangzhou, Jiangsu, China, March
2325, 2013. pp. 979985. [pdf]
 P.T. Zhang and Y. Tan, "Classwise Information Gain "Third International
Conference on Information Science and Technology (ICIST 2013) ,
Yangzhou, Jiangsu, China, March 2325, 2013. pp. 972978. [pdf]
 Z.Y. Zheng and Y. Tan, "An Indexed KD Tree for Neighborhood Generation in Swarm Robotics
Simulation "The Fourth International Conference on Swarm Intelligence (ICSI
2013) , Harbin, China, June 1215, 2013. Springer, LNCS 7929,
pp. 5362. [pdf]
 J.H. Liu, S.Q. Zheng and Y. Tan, "AThe Improvement on Controlling Exploration and Exploitation
of Firework Algorithm "The Fourth International Conference on Swarm
Intelligence (ICSI 2013) , Harbin, China, June 1215, 2013.
Springer, LNCS 7928, pp. 1123. [pdf]
 W.R. He, G.Y. Mi, and Y. Tan, "Parameter Optimization of LocalConcentration Model for Spam
Detection by Using Fireworks Algorithm "The Fourth International Conference on
Swarm Intelligence (ICSI 2013) , Harbin, China, June 1215,
2013. Springer, LNCS 7928, pp. 439450. [pdf]
 Zhichao Zhang, Shaoqiu Zheng, Weiping Liz, Ying Tan, Zhonghai Wu, Wei Tan, "Genetic Algorithm
for ContextAware Service Composition Based on Context Space Model "IEEE 20th
International Conference on Web Services (IEEE ICWS 2013), June
27July 2, 2013, Santa Clara Marriott, CA, USA, pp. 12. [pdf]
2012
Conference Papers
 Y.C.Zhu, G.Y. Mi and Y. Tan, "Query Based Hybrid Learning Models for Adaptively Adjusting
Locality "IEEE World Conference on Computational Intelligence (WCCI 2012) 
IJCNN , Brisbane, Australia. June 1015, 2012. pp. 429436. [pdf]
 Y. Pei, S.Q. Zheng, Y. Tan and Hideyuki Takagi, "An Empirical Study on Influence of
Approximation Approaches on Enhancing Fireworks Algorithm "IEEE International
Conference on System, Man and Cybernetics (SMC 2012) , Seoul,
Korea. October 1417, 2012. [pdf]
 P.T. Zhang and Y. Tan, "A Danger Feature Based Negative Selection Algorithm
"The Third International Conference on Swarm Intelligence (ICSI 2012)
, Shenzhen, China, June 1720, 2012. Springer, LNCS 7331, pp.
291299. [pdf]
 J. Wang and Y. Tan, "Hausdorff Distance with kNearest Neighbors "The Third
International Conference on Swarm Intelligence (ICSI 2012) ,
Shenzhen, China, June 1720, 2012. Springer, LNCS 7332, pp. 272281. [pdf]
 X. Huang, Y. Tan and X.G. He, "A Classifier Based on Minimum Circum Circle
"The Third International Conference on Swarm Intelligence (ICSI 2012)
, Shenzhen, China, June 1720, 2012. Springer, LNCS 7332, pp.
7483. [pdf]
2011
Journal Papers
 谭营，王军， "手指静脉身份识别技术最新进展," 《智能系统学报》, Vol.第6卷，第6期,页码：471482, 2011年12月.
[pdf]
 Andreas Janecek, Ying Tan, " Swarm Intelligence for Nonnegative Matrix
Factorization," International Journal of Swarm Intelligence Research
(IJSIR), 2(4), pp. 1234, OctoberDecember 2011. [pdf]
 张鹏涛, 王维,谭营, "基于带有惩罚因子的阴性选择算法的恶意程序检测模型," 《中国科学:信息科学》, Vol. 41, no. 7,
pp.798812, 2011. [pdf]
 Y.C. Zhu, Y. Tan, " A Local Concentration Based Feature Extraction Approach for Spam
Filtering," IEEE Transactions on Information Forensics and
Security, Vol. 6, No. 2, June 2011, pp. 486497.. [pdf]
 X. Huang, Y. Tan, X.G. He, "An Intelligent Multifeature Statistical Approach for Discrimination
of Driving Conditions of Hybrid Electric Vehicle,"IEEE Transactions on
Intelligent Transportation Systems, Vol. 12, No. 2, June, 2011,
pp. 453465. [pdf]
 W.Wang, P.T. Zhang, Y. Tan, X.G. He, " A Feature Extraction Method of Computer Viruses Based on
Artificial Immune and Code Relevance, Chinese Journal of
Computer, Vol. 34, No.2, Feb. 2011, pp.204215.(In Chinese) [pdf]
 王维,张鹏涛,谭营,何新贵, " 一种基于人工免疫和代码相关性的计算机病毒特征提取方法,
<计算机学报>, Vol. 34, No.2, 2011, pp.204215. [pdf]
 K. Liu, and Y. Tan, X.G. He, " Particle Swarm Optimization Based Learning Algorithm for Process
Neural Networks, Acta Scientiarum Naturalium Universitatis
Pekinensis, Vol. 47, No. 2, March 2011, pp. 238244.(In
Chinese) [pdf]
 W.Wang, P.T. Zhang, Y. Tan, and X.G. He," An Immune Local ConcentrationBased Virus Detection
Approach, Journal of Zhejiang UniversitySCIENCE C (Computers and
Electronics), Vol. 11, No. 3, 2011, pp. 113. [pdf]
 顾岁成,谭营, 何新贵，"Laplace 平滑变换及其在人脸识别中的应用," 《中国科学:信息科学》, Vol. 41, no. 3,
pp.257268, 2011. [pdf]
 Junqi Zhang, Ying Tan, Lina Ni, Chen Xie, and Zheng Tang, "AMTPSO: An Adaptive Magnification
Transformation Based Particle Swarm Optimizer," IEICE Transactions on Fundamentals
of Electronics, Communications and Computer Sciences, Vol. E94D, no. 4,
pp.768797, 2011. (IF:1.59) [pdf]
 Y. Zhou,Y. Tan, " GPUBased Parallel Multiobjective Particle Swarm
Optimization, International Journal of Artificial
Intelligence, Vol. 6, no. 4, Autumn, 2011 pp.125141. [pdf]
 Y. Tan, Nik Kasabov, " Editorial: Special Issue on Swarm Intelligence Algorithms and
Applications, International Journal of Artificial
Intelligence, Vol. 6, no. 4, Autumn, 2011 pp.110111. [pdf]
Conference Papers
 J. Wang and Y. Tan, "Efficient Euclidean Distance Transform Using Perpendicular Bisector
Segmentation"IEEE Computer Vision and Pattern Recognition (CVPR)
2011, Colorado Springs, U.S.A. 2011. pp. 16251632. [pdf]
 J. Wang and Y. Tan, "Morphological Image Enhancement Procedure Design By Using Genetic
Programming, " ACM Genetic and Evolutionary Computation Conference
(GECCO’2011), July 1216, 2011, Dublin, Ireland, pp.
18.(8pages oral and full paper). [pdf]
 Andreas Janecek and Y. Tan, "Iterative Improvement of the Multiplicative Update NMF Algorithm
using Natureinspired Optimization,"The 7th International Conference on
Natural Computation (ICNC’11) and the 8th International Conference on Fuzzy Systems
and Knowledge Discovery (FSKD’11) , 2628 July 2011, Shanghai,
China.[pdf]
 Andreas Janecek and Y. Tan, "Feeding the Fish  Weight Update Strategies for the Fish School
Search Algorithm," Proc. of The Second International Conference on Swarm
Intelligence (ICSI’2011), June 1215, Chongqing, China, 2011.
LNCS 6729, SpringerVerlag, 2011, pp.553562. [pdf]
 K. Wang, Y. Tan, "A New Collaborative Filtering Recommendation Approach Based On Naive Bayesian
Method," Proc. of The Second International Conference on Swarm Intelligence
(ICSI’2011), June 1215, Chongqing, China, 2011. LNCS 6729,
SpringerVerlag, 2011, pp.218227. [pdf]
 J. Wang, Y. Tan, "A Novel Genetic Programming Algorithm For Designing Morphological Image
Analysis Method,"Proc. of The Second International Conference on Swarm
Intelligence (ICSI’2011), June 1215, Chongqing, China, 2011.
ICSI 2011, Part I, LNCS 6728, SpringerVerlag, 2011.pp.549558. [pdf]
 Y.C. Zhu, Y. Tan, "A Danger Theory Inspired Learning Model and Its Application to Spam
Detection," Proc. of The Second International Conference on Swarm Intelligence
(ICSI’2011), June 1215, Chongqing, China, 2011. LNCS 6728,
SpringerVerlag, 2011, pp.382389. [pdf]
 Andreas Janecek and Y. Tan, "Using Population Based Algorithms for Initializing Nonnegative
Matrix Factorization,"Proc. of The Second International Conference on Swarm
Intelligence (ICSI’2011), June 1215, Chongqing, China, 2011.
Part II, LNCS 6729, SpringerVerlag, 2011, pp.307316. [pdf]
2010
Journal Papers
 Y. Tan, "Particle Swarm Optimization Algorithms Inspired by ImmunityClonal Mechanism and Their
Applications to Spam Detection," International Journal of Swarm Intelligence
Research, 2010. [pdf]
 谭营，朱元春， "反垃圾电子邮件方法研究," 《智能系统学报》, Vol.第 5卷，第3期,页码：189201, 2010年6月. [pdf]
 S.C. Gu, Y. Tan, X.G. He, "Discriminant Analysis via Support Vectors,"
Neurocomputing, Vol.73, No.1012, pp.16691675, 2010, (doi:10.1016/
j.neucom.2009.09.021), Elsevier. (IF:1.44) [pdf]
 P.T. Zhang, W.Wang, Y. Tan, "A Malware Detection Model based on a Negative Selection Algorithm
with Penalty Factor," Science in China Series F  Information Science,
Vol. 53, no. 12, pp. 24612471, December, 2010.(IF:0.79) [pdf]
 Junqi Zhang, Ying Tan, Lina Ni, Chen Xie, and Zheng Tang, "Hybrid Uniform Distribution of
Particle Swarm Optimizer," IEICE Transactions on Fundamentals of Electronics,
Communications and Computer Sciences, Vol. E93A, no. 10, pp.17821791,
October, 2010. (IF:1.59) [pdf]
 S.C. Gu, Y. Tan, X.G. He, "RecentBiased Learning for Time Series Forecast,"
Information Science, 180(2010)321331, Elsevier, (doi:10.1016/
j.ins.2010.09.004) (IF:3.291) [pdf]
 S.C. Gu, Y. Tan, X.G. He, "Laplacian Smoothing Transform for Face
Recognition,"Science in China Series F  Information Science, Vol. 53,
no. 12, pp. 24152428, December, 2010, (doi: 10.1007/s114320090008x). (IF:0.79) [pdf]
 G.C. Ruan, Y. Tan, "A Threelayer Backpropagation Neural Network for Spam Detection Using
Artificial Immune Concentration," Softcomputing, Vol.14,
pp.139150, 2010. [pdf]
 Y. Tan and Y. Zhou, “Parallel Particle Swarm Optimization based on Graphics Processing
Unit”, Handbook of Swarm Intelligence – Concepts, Principles and
Applications, Series on Adaptation, Learning, and Optimization,
Eds. Bijaya Ketan Panigrahi, Yuhui Shi and Menghiot Lim, Springer, 2010. (Book chapter) [pdf]
Conference Papers
 J. Wang and Y. Tan. A novel genetic programming based morphological image analysis algorithm.
In GECCO ’10: Proceedings of the 12th annual conference on Genetic and evolutionary
computation, pages 979–980, New York, NY, USA, 2010. ACM.
 Y.C. Zhu and Y. Tan, "Extracting discriminative information from Email for spam detection
inspired by immune system",The 2010 IEEE Congress on Evolutionary Computation (IEEE
CEC'2010), 2010 IEEE World Congress on Computational Intelligence
(WCCI'2010), July 1823, 2010, Barcelona, Spain. [pdf]
 Y. Zhou and Y. Tan, "Particle Swarm Optimization with Triggered Mutation and Its Implementation
based on GPU",ACM Genetic and Evolutionary Computation Conference
(GECCO'2010), July 711, 2010, Portland, Oregon, U.S.A. 8pages. [pdf]
 K. Liu, Y. Tan and X.G. He, "Particle Swarm Optimization Based Learning Method for Process
Neural Networks", Seventh International Symposium on Neural Networks
(ISNN'2010), June 69, 2010, Shanghai, China [pdf]
 Xi Huang, Ying Tan, Xingui He, "A Torque Control Strategy with Charge Buffer for Parallel Hybrid
Electric Vehicle," IEEE 72nd Vehicular Technology Conference:
VTC2010Fall 69 September 2010, Ottawa, Canada [pdf]
 Ying Tan, Yuanchun Zhu, "Fireworks Algorithms for Optimization," Proc. of
International Conference on Swarm Intelligence (ICSI’2010), June 1215,
Beijing, China, 2010. ICSI 2010, Part II, LNCS 6145, pp.355364, 2010. SpringerVerlag，2010 [pdf]
 Kun Liu, Ying Tan, and Xingui He, "An Adaptive Staged PSO Based on Particles’ Search
Capabilities," Proc. of International Conference on Swarm Intelligence
(ICSI’2010), June 1215, Beijing, China, 2010. ICSI 2010, Part II, LNCS
6145, pp.5259, 2010. SpringerVerlag，2010. [pdf]
 Wei Wang, Pengtao Zhang, Ying Tan, "An Immune Concentration Based Virus Detection Approach Using
Particle Swarm Optimization," Proc. of International Conference on Swarm
Intelligence (ICSI’2010), June 1215, Beijing, China, 2010. ICSI 2010,
Part II, LNCS 6145, pp.347354, 2010. SpringerVerlag，2010. [pdf]
2009
Journal Papers
 Y. Tan and Junqi Zhang, "Magnifier Particle Swarm Optimisation and its Application to Spam
Detection", in NatureInspired Optimisation, SpringerVerlag. New
York, 2009.(Book Chapter) [pdf]
Conference Papers
 Y. Tan, C. Deng, G.C. Ruan, “Concentration Based Feature Construction Approach for Spam
Detection,” Proceedings of International Joint Conference on Neural Networks ,
Atlanta, Georgia, USA, June 1419, 2009, pp. 13441350.[pdf]
 Y. Zhou, Y. Tan, ''GPUbased parallel particle swarm optimization'', IEEE Congress on
Evolutionary Computation, 2009. CEC '09, 1821 May 2009 Page(s):1493  1500.
 [pdf]
 X. Huang, Y. Tan, X.G. He, "An Intelligent Multifeature Statistical Approach for Discrimination
of Driving Conditions of Hybrid Electric Vehicle," IEEE International Joint Conference on
Neural Networks (IJCNN’2009), June 1419, Atlanta, Georgia, U.S.A., 2009, June 1419,
2009, pp. 12861293.
 J.Q. Zhang, Y. Tan, X.G. He, "Concentric Spatial Extension Based Particle Swarm Optimization
Inspired by Brood Sorting in Ant Colonies," IEEE Symposiums Series on Computational
Intelligence (SSCI’2009)  IEEE Swarm Intelligence Symposium (SIS 2009), March 30 
April 2, Nashville, Tennessee, U.S.A., 2009.
 S.C. Gu, Y. Tan, X.G. He, “Orthogonal Quadratic Discriminant Functions for Face Recognition,”
Proc. of the Sixth International Symposium on Neural Networks (ISNN’2009), Wuhan,
China, May 2629, 2009, pp. 466475.
 W. Wang, P.T. Zhang, Y. Tan, X.G. He. ''A Hierarchical Artificial Immune Model for Virus
Detection'', 2009 International Conference on Computational Intelligence and Security
(CIS'09), IEEE, Beijing, China, 2009.
 [pdf]
 R. Chao, Y. Tan. ''A Virus Detection System Based on Artificial Immune System'', 2009
International Conference on Computational Intelligence and Security (CIS'09), IEEE,
Beijing, China, 2009.
 [pdf]
2008
Conference Papers
 J. Yang, X. Huang, Y. Tan, X.G. He, ''Forecast of Driving Load of Hybrid Electric Vehicles by
using Discrete Cosine Transform and Support Vector Machine,'' IEEE World Congress on
Computational Intelligence (WCCI'2008)IJCNN'2008, June 16, Hong Kong, 2008. pp.
22282235.
 J.Q. Zhang, Z.M. Xiao, Ying Tan, Xingui He, ''Hybrid Particle Swarm Optimizer with Advance and
Retreat Strategy and Clonal mechanism for Global Numerical Optimization,'' IEEE World
Congress on Computational Intelligence (WCCI'2008)IEEE CEC'2008, June 16, Hong
Kong, 2008.
 S.C. Gu, Y. Tan, X.G. He, “Frequency Cosine Transform: A Bridge Between Gradient based Frequency
Transform and Discrete Cosine Transform, ” Proc. the IEEE International Conference on
Neural Networks for Signal Processing (ICNNSP’2008), Zhenjing, June 811, 2008.
pp.612617.
 J.Q. Zhang, K. Liu, Y. Tan, X.G. He, “Random Black Hole Particle Swarm Optimization and Its
Application,” Proc. the IEEE International Conference on Neural Networks for Signal
Processing (ICNNSP’2008), Zhenjing, June 711, 2008. pp.359365.
 J.Q. Zhang, K. Liu, Y. Tan, X.G. He, ''Allocation of Local and Global Search Capabilities of
Particle in Canonical PSO,'' ACM Genetic and Evolutionary Computation Conference
(GECCO'2008), July 1216, 2008, Atlanta, Georgia, U.S.A.
 J.Q. Zhang, K. Liu, Y. Tan, X.G. He, ''Magnifier Particle Swarm Optimization For Numerical
Optimization,'' ACM Genetic and Evolutionary Computation Conference (GECCO'2008),
July 1216, 2008, Atlanta, Georgia, U.S.A.
2007
Journal Papers
 Zhengping Hu, Ying Tan. "Interactive region growing for image segmentation based on SVDD",
Chinese Journal of Scientific Instrument, No. z3, 2007. (In Chinese). [ pdf]
 Zhengping Hu, Ye Zhang, Ying Tan. "Adaptive and high accurate region growing image segmentation
method based on region evolution", Journal of System Engineering and Electronics, Vol.
No. 06, pp.854857, 2007. (In Chinese). [ pdf]
Conference Papers
 Y. Tan and Z. M. Xiao. "Clonal Particle Swarm Optimization and Its Applications", IEEE
Congress on Evolutionary Computation (IEEE CEC'2007), Singapore, 2007. [ pdf]
 Guangchen Ruan and Ying Tan. "Intelligent Detection Approaches for Spam", Third
International Conference on Natural Computation(ICNC'07), Haikou, China. August
2427, 2007. (regular paper). [ pdf]
 Ying Tan. "NeuralBased Separating Method for Nonlinear Mixtures", The Fourth
International Symposium on Neural Networks, (ISNN'2007), Nanjing, China , Lecture
Notes on Computer Science 4492, Springer (3) 2007: 705714. [ pdf]
 Ying Tan and Guangchen Ruan. "Recognition of Electronic Junk Mails based on Artificial Immune
System", The Third Joint Workshop on Machine Perception and Robotics (MPR2007),
Ritsumeikan University, Japan, November 2527, 2007.
Edited Books or Procceedings

Ying Tan, Yuhui Shi, Milan Tuba (Eds), Data Mining and Big Data, Communications in Computer and
Information Science, CCIS 1234, 119 pages, 2020.07.

Ying Tan, Yuhui Shi, Milan Tuba (Eds), Advances in Swarm and Computational
Intelligence, Springer Lecture Notes in Computer Science, LNCS 12145, 689 pages, 2020.07.
 Ying Tan, Yuhui Shi, (Eds), Advances in Data Mining and Big Data, Springer
Lecture Notes in Computer Science, Springer, 340 pages, 2019.07.
 Ying Tan, Yuhui Shi, Ben Niu, (Eds), Advances in Swarm and Computational
Intelligence, Springer Lecture Notes in Computer Science, LNCS
11655, Springer, 4 pages, 2019.07.
 Ying Tan, Yuhui Shi, Ben Niu, (Eds), Advances in Swarm and Computational
Intelligence, Springer Lecture Notes in Computer Science, LNCS
11656, Springer, 462 pages, 2019.07.
 Ying Tan, Yuhui Shi, Qirong Tang, (Eds), Advances in Swarm and Computational
Intelligence, Springer Lecture Notes in Computer Science, LNCS
10941, Springer, 639 pages, 2018.06.
 Ying Tan, Yuhui Shi, Qirong Tang, (Eds), Advances in Swarm and Computational
Intelligence, Springer Lecture Notes in Computer Science, LNCS
10942, Springer, 579 pages, 2018.06.
 Ying Tan, Yuhui Shi, Qirong Tang, (Eds), Advances in Data Mining and Big
Data, Springer Lecture Notes in Computer Science, LNCS
10943, Springer, 799 pages, 2018.06.
 Ying Tan, Hideyuki Takagi, Yuhui Shi, (Eds), Advances in Swarm and Computational
Intelligence, Springer Lecture Notes in Computer Science, LNCS
10385, Springer, 639 pages, 2017.07.
 Ying Tan, Hideyuki Takagi, Yuhui Shi, Ben Niu, (Eds), Advances in Swarm and Computational
Intelligence, Springer Lecture Notes in Computer Science, LNCS
10386, Springer, 641 pages, 2017.07.
 Ying Tan, Hideyuki Takagi, Yuhui Shi, (Eds), Advances in Data Mining and Big
Data, Springer Lecture Notes in Computer Science, LNCS
10387, Springer, 546 pages, 2017.07.
 Ying Tan, Yuhui Shi, Ben Niu, (Eds), Advances in Swarm and Computational
Intelligence, Springer Lecture Notes in Computer Science, LNCS
9712, Springer, 657 pages, 2016.06.
 Ying Tan, Yuhui Shi, Li Li, (Eds), Advances in Swarm and Computational
Intelligence, Springer Lecture Notes in Computer Science, LNCS
9713, Springer, 615 pages, 2016.06.
 Ying Tan, Yuhui Shi, (Eds), Advances in Data Mining and Big Data, Springer Lecture
Notes in Computer Science, LNCS 9714, Springer, 569 pages,
2016.06.
 Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht
(Eds), Advances in Swarm and Computational Intelligence, Springer Lecture Notes in
Computer Science, LNCS 9140, Springer, 600 pages, 2015.07.
 Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht
(Eds), Advances in Swarm and Computational Intelligence, Springer Lecture Notes in
Computer Science, LNCS 9141, Springer, 498 pages, 2015.07.
 Ying Tan, Yuhui Shi, Fernando Buarque, Alexander Gelbukh, Swagatam Das, Andries Engelbrecht
(Eds), Advances in Swarm and Computational Intelligence, Springer Lecture Notes in
Computer Science, LNCS 9142, Springer, 496 pages, 2015.07.
 Ying Tan, Yuhui Shi, Carlos A. Coello Coello (Eds), Advances in Swarm
Intelligence, Springer Lecture Notes in Computer Science, LNCS
8794, Springer, 510 pages, 2014.10.
 Ying Tan, Yuhui Shi, Carlos A. Coello Coello (Eds), Advances in Swarm
Intelligence, Springer Lecture Notes in Computer Science, LNCS
8795, Springer, 464pages, 2014.10.
 Ying Tan, Yuhui Shi, Hongwei Mo (Eds), Advances in Swarm Intelligence, Springer
Lecture Notes in Computer Science, LNCS 7928, Springer,
480pages, 2013.6.
 Ying Tan, Yuhui Shi, Hongwei Mo (Eds), Advances in Swarm Intelligence, Springer
Lecture Notes in Computer Science, LNCS 7929, Springer,
596pages, 2013.6.
 Ying Tan, Yuhui Shi, Zhen Ji (Eds), Advances in Swarm Intelligence, Springer Lecture
Notes in Computer Science, LNCS 7331, Springer, 623pages,
2012.6.
 Ying Tan, Yuhui Shi, Zhen Ji (Eds), Advances in Swarm Intelligence, Springer Lecture
Notes in Computer Science, LNCS 7332, Springer, 607pages,
2012.6.
 Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wang (Eds), Advances in Swarm
Intelligence, Springer Lecture Notes in Computer Science, LNCS
62, Springer, 639pages, 2011.6.
 Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wang (Eds), Advances in Swarm
Intelligence, Springer Lecture Notes in Computer Science, LNCS
7332, Springer, 587pages, 2011.6.
 Ying Tan, Yuhui Shi, Kay Chen Tan (Eds), Advances in Swarm Intelligence, Springer
Lecture Notes in Computer Science, LNCS 6145, Springer,
746pages, 2010.6.
 Ying Tan, Yuhui Shi, Kay Chen Tan (Eds), Advances in Swarm Intelligence, Springer
Lecture Notes in Computer Science, LNCS 6146, Springer,
742pages, 2010.6.
 Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao, Wen Yu (Eds), Advances in Neural Networks  ISNN
2008, Springer Lecture Notes in Computer Science, LNCS
5263, Springer, , 908pages, 2008.6.
 Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao, Wen Yu (Eds), Advances in Neural Networks  ISNN
2008, Springer Lecture Notes in Computer Science, LNCS
5264, Springer, , 850pages, 2008.6.
Chapters in Book
 Y. Tan, "Prototype generation based on MOPSO",Swarm Intelligence: Volume 3:
Applicatikons. Vol
1,IET (The Institution of Engineering and Technology), 2018.
ISBN:9781785616297.
 Y. Tan, "Firefly algorithm and its applications",Swarm Intelligence: Volume 2: Innovation, new
algorithms and methods. Vol
1,IET (The Institution of Engineering and Technology), 2018.
ISBN:9781785616297.
 Y. Tan, "Standard fireworks algorithm 2017",Swarm Intelligence: Volume 2: Innovation, new
algorithms and methods. Vol
1,IET (The Institution of Engineering and Technology), 2018.
ISBN:9781785616297.
 Y. Tan, "Survey of swarm intelligence",Swarm Intelligence: Volume 1: Principles, current
algorithms and methods. Vol
1,IET (The Institution of Engineering and Technology), 2018.
ISBN:9781785616297.

Y. Tan, "Application of Fireworks Algorithm in Bioinformatics" ,Handbook
of Research on Fireworks Algorithms and Swarm Intelligence, IGI Global,
USA, 2020.04, Hardcover: 500 pages Publisher: IGI Global; 1 edition (April 6, 2020), Language:
English,
ISBN10: 1799816591,ISBN13: 9781799816591.

Y. Tan, "Recent Developments of Fireworks Algorithms" ,Handbook
of Research on Fireworks Algorithms and Swarm Intelligence, IGI Global,
USA, 2020.04, Hardcover: 500 pages Publisher: IGI Global; 1 edition (April 6, 2020), Language:
English,
ISBN10: 1799816591,ISBN13: 9781799816591.
 Y. Tan, “A Survey on Swarm Robotics”, Handbook of Research on Design,
Control,and Modeling of Swarm Robotics, Ed. Ying Tan, IGI
Global, 2015, pp.142.ISBN 9781466695726 (hardcover)  ISBN 9781466695733 (ebook). [pdf]
 Z.Y. Zheng and Y. Tan, “Mobile Target Tracking of Swarm Robotics in Unknown Obstructive
Environment”, Handbook of Research on Design, Control,and Modeling of Swarm
Robotics, Ed. Ying Tan, IGI Global, 2015, pp.412435.ISBN
9781466695726 (hardcover)  ISBN 9781466695733 (ebook). [pdf]
 X.J. Lei, F. Wang, and Y. Tan, “Swarm Intelligent Optimization Algorithms and Its Application in
Mobile Robot Path Planning”, Handbook of Research on Design, Control,and
Modeling of Swarm Robotics, Ed. Ying Tan, IGI Global, 2015,
pp.298332.ISBN 9781466695726 (hardcover)  ISBN 9781466695733 (ebook). [pdf]
 Andreas Janecek and Ying Tan, “Swarm Intelligence for Dimensionality Reduction: How to Improve
the Nonnegative Matrix Factorization with Natureinspired Optimization Methods”,
Emerging Research on Swarm Intelligence and Algorithm
Optimization, Ed. Yuhui Shi, IGI Global, 2014. [pdf]
 Y. Tan and Y. Zhou, “Parallel Particle Swarm Optimization based on Graphics Processing
Unit”, Handbook of Swarm Intelligence – Concepts, Principles and
Applications, Series on Adaptation, Learning, and Optimization,
Eds. Bijaya Ketan Panigrahi, Yuhui Shi and Menghiot Lim, Springer, 2010. [pdf]
 Y. Tan and Junqi Zhang, "Magnifier Particle Swarm Optimisation and its Application to Spam
Detection", in NatureInspired Optimisation,
SpringerVerlag. New York, 2009. [pdf]
Translations of MIT Opencourse
 Ying Tan, Guangchen Ruan, Jian Yang. "9520 Statistical Learning Theory and Applications",
MIT Opencourse, 2007. [Details]
 Ying Tan, Guangchen Ruan, Zhongmin Xiao, et.al. "15.083J/6.859 Integer Program Combination
Optimization", MIT Opencourse, 2007. [Details]
