Language
Menu

Publications

Monograph

  • Ying Tan,;ChatGPT 入门与实战, ;新加坡维智出版社. 2023. ISBN:9789811882586.
  • Ying Tan,;烟花算法: 理论及应用, ;人民邮电出版社. 2023. ISBN:9787115621542.
  • 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, ISBN-10: 1799816591,ISBN-13: 978-1799816591.
  • 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, 2018-04-01.ISBN:9787010188300.
  • Ying Tan,;Fireworks Algorithm,;Springer, 2015.10. [TOC with samples], [Book at Springer.Com], [SpringerLink-Home], ISBN: 978-3-662-46352-9.
  • Ying Tan, Anti-Spam Techniques Based on Artificial Immune System,;CRC Press/Taylor & Francis, 2016.01.[TOC with samples], [Book at Amazon.Com], ISBN: 978-1498725187.
  • Ying Tan, Artificial Immune System: Applications in Computer Security,;Wiley & IEEE, May 2016.[TOC with samples], [Book at Amazon.Com], ISBN: 978-1119076285.
  • Ying Tan, GPU-based Parallel Implementation of Swarm Intelligence Algorithms,;Morgan Kaufmann (Elsevier), 2016.[Online Version] ISBN: 978-0-12-809362-7. 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:978-7-03-044085-3,303页,TP-6972.01,40万字)
  • Ying Tan, Swarm Intelligence: Volume 1: Principles, current algorithms and methods.;Vol 1,;IET (The Institution of Engineering and Technology), 2018. ISBN:978-1-78561-629-7.
  • Ying Tan, Swarm Intelligence: Volume 2: Innovation, new algorithms and methods.;Vol 2;,;IET (The Institution of Engineering and Technology), 2018. ISBN:978-1-78561-629-7.
  • Ying Tan, Swarm Intelligence: Volume 3: Applications.;Vol 3;,;IET (The Institution of Engineering and Technology), 2018. ISBN:978-1-78561-629-7.
  • 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, ISBN-10: 1466695722,ISBN-13: 978-1466695726.

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:978-7-302-22205-7. [ 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:978-7-302-20896-9. [ 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. 643-645.;[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. 1752-2100.;[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 507-509. Springer. ISSN: 1567-7818(Print) 1572-9796(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. 1-120.;[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. 1-4. Springer. ISSN: 1567-7818 (Print) 1572-9796 (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), April-June 2015, vol. 6, No. 2, pp. i, 1-132. 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), Seven-September 2015, vol. 6, No. 3, pp. i, 1-83. 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:0925-2312(20150119)148:C; 1-S, pp. 1-197. [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), January-March 2013, vol. 4, No. 1, pp. i, 1-132. 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. 1-160, 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.110-291.;[pdf]

2024

Conference Papers​

Journal Papers

  • Xiao Q, Niu B, Tan Y, et al. Generative Upper-Level Policy Imitation Learning With Pareto-Improvement for Energy-Efficient Advanced Machining Systems[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024. [pdf]

2023

Conference Papers​

  • Chen, D., Wu, Z., Liu, F., Yang, Z., Huang, Y., Bao, Y., & Zhou, E. (2022). Prototypical contrastive language image pretraining. IEEE Transactions on Neural Networks and Learning Systems PP(99) DOI:10.1109/TNNLS.2023.3335859 [pdf]
  • Meng X, Tan Y. Learning Group-Level Information Integration in Multi-Agent Communication[C]//Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. 2023: 2601-2603. [pdf]
  • Maiyue Chen, Ying Tan. GEFWA: Gradient-Enhanced Fireworks Algorithm for Optimizing Convolutional Neural Networks 14th International Conference on Swarm Intelligence, ICSI 2023 , Shenzhen, China, July 14–18, 2023, LNCS vol 13968 pp. 323-333 [Link] [pdf]
  • Zhihan Yue, Ying Tan. Hierarchical Node Representation Learning for Stock Prediction 14th International Conference on Swarm Intelligence, ICSI 2023 , Shenzhen, China, July 14–18, 2023, LNCS vol 13969 pp. 465-477 [Link] [pdf]

Journal Papers

  • Meng X, Tan Y. Multi-guiding spark fireworks algorithm: Solving multimodal functions by multiple guiding sparks in fireworks algorithm[J]. Swarm and Evolutionary Computation, 2023: 101458. [pdf]
  • Lianbo Ma, Yang Liu, Guo Yu, Xinzhe Wang, Hongwei Mo, Gai-Ge Wang, Yaochu Jin, Ying Tan. Decomposition-Based Multiobjective Optimization for Variable-Length Mixed-Variable Pareto Optimization and Its Application in Cloud Service Allocation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023. [pdf]
  • Mingjie Fan, Yupeng Zhou, Mingzhang Han, Xinchao Zhao and Ying Tan, OLFWA: A Novel Fireworks Algorithm with New Explosion Operator and Two Stages Information Utilization. Information Sciences, 2023, 649: 119609. [pdf]
  • Sai Yang, Fan Liu, Shaoqiu Zheng, Ying Tan. JLCSR: Joint Learning of Compactness and Separability Representations for Few-shot Classification. IEEE Transactions on Cognitive and Developmental Systems. 2023. [Link]
  • Renlong Chen, Ying Tan. Credit assignment with predictive contribution measurement in multi-agent reinforcement learning. Neural Networks, 2023, 164: 681-690. [Pdf]
  • Maiyue Chen, Ying Tan. SF-FWA: A Self-adaptive Fast Fireworks Algorithm for Effective Large-scale Optimization. Swarm and Evolutionary Computation. (IF=10.627), 2023, 80: 101314. [Pdf]
  • Ying Tan, RenLong Chen, TianYi Zhai. Adaptive intra-group cooperative control based multiple-target search method for swarm robotics in boundless environment. SCIENTIA SINICA Technologica, ISSN 1674-7259, https://doi.org/10.1360/SST-2021-0376 [Link] [Pdf]

2022

Journal Papers

  • Yifeng Li and Ying Tan. Fireworks algorithm based on search space partition. International Journal of Intelligent System 2022; 1-30. Online doi:10.1002/int.22952 [Link] [Pdf]
  • Ma Tao and Ying Tan. "Stock ranking with multi-task learning." Expert Systems with Applications (2022): Volume 199, 1 August 2022, 116886. [Link] [Pdf]
  • Li Yifeng and Ying Tan. "Hierarchical Collaborated Fireworks Algorithm" Electronics 11, no. 6: 948. 2022 https://doi.org/10.3390/electronics11060948 [Pdf]
  • Ying Tan, "元宇宙热潮的成因分析及发展趋势", in《国家治理》 (Governance), Jan. 2022, pp 16-20 [Pdf]
  • Xiangyu Liu and Ying Tan, "Attentive Relational State Representation in Decentralized Multiagent Reinforcement Learning," in IEEE Transactions on Cybernetics, vol. 52, no. 1, pp. 252-264, Jan. 2022, doi: 10.1109/TCYB.2020.2979803. [Link] [Pdf]
  • Xiangyu Liu and Ying Tan, "Feudal Latent Space Exploration for Coordinated Multi-Agent Reinforcement Learning," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2022.3146201. [Link] [Pdf]
  • Guo, Yinan, Botao Jiao, Ying Tan, Pei Zhang, and Fengzhen Tang. 2022. “A Transfer Weighted Extreme Learning Machine for Imbalanced Classification.” International Journal of Intelligent Systems (IF 7.98), online, May, 2022. [Link] [Pdf]

Conference Papers​

  • Jiali Chen, Kai Jiang, Rupeng Liang, Jing Wang, Shaoqiu Zheng and Ying Tan. "Heterogeneous Multi-unit Control with Curriculum Learning for Multi-agent Reinforcement Learning", 7th International Conference on Data Mining and Big Data, DMBD'2022 , Beijing, China, November 21-24, 2022, Proceedings, Part I vol 1744 pp. 3-16 [Link] [pdf]
  • Renlong Chen, Ling Ye, Shaoqiu Zheng, Yabin Wang, Peng Cui and Ying Tan. "Attentive Relational State Representation for Intelligent Joint Operation Simulation", 7th International Conference on Data Mining and Big Data, DMBD'2022 , Beijing, China, November 21-24, 2022, Proceedings, Part I vol 1744 pp. 62-74 [Link] [pdf]
  • Jiwei Zhang, Lian Yang, Tianbo Ye, Jiaen Zhou, Wendong Wang and Ying Tan. "Pose Sequence Model Using the Encoder-Decoder Structure for 3D Pose Estimation", 7th International Conference on Data Mining and Big Data, DMBD'2022 , Beijing, China, November 21-24, 2022, Proceedings, Part I vol 1744 pp. 62-74 [Link] [pdf]
  • Zhihan Yue and Ying Tan. "Non-local Graph Aggregation for Diversified Stock Recommendation", 7th International Conference on Data Mining and Big Data, DMBD'2022 , Beijing, China, November 21-24, 2022, Proceedings, Part II vol 1745 pp. 147-159 [Link] [pdf]
  • Weiwei Hu and Ying Tan. "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN", 7th International Conference on Data Mining and Big Data, DMBD'2022 , Beijing, China, November 21-24, 2022, Proceedings, Part II vol 1745 pp. 409-423 [Link] [pdf]
  • Junzhi Li and Ying Tan. "Information Utilization Ratio in Heuristic Optimization Algorithms", 13th International Conference on Swarm Intelligence, ICSI2022 , Xi'an, China, July 15-19, 2022, LNCS vol 13344 pp. 3-22 [Link] [pdf]
  • Mingze Li and Ying Tan. "Economic Dispatch Optimization for Microgrid Based on Fireworks Algorithm with Momentum", 13th International Conference on Swarm Intelligence, ICSI2022 , Xi'an, China, July 15-19, 2022, LNCS vol 13344 pp. 339-353 [Link] [pdf]
  • Mingze Li and Ying Tan. "Non-dominated Sorting Based Fireworks Algorithm for Multi-objective Optimization", 13th International Conference on Swarm Intelligence, ICSI2022 , Xi'an, China, July 15-19, 2022, LNCS vol 13344 pp. 457-471 [Link] [pdf]
  • Yifan Liu, Yifeng Li and Ying Tan. "Enhancing Fireworks Algorithm in Local Adaptation and Global Collaboration for Solving ICSI 2022 Benchmark Problems", 13th International Conference on Swarm Intelligence, ICSI2022 , Xi'an, China, July 15-19, 2022, LNCS vol 13345 pp. 413-422 [Link] [pdf]

2021

Journal Papers​

  • Ying Tan, Yuhui Shi and Xin Yao, "Preface"; Natural Computing, Feb. 2021. published online https://doi.org/10.1007/s11047-021-09850-6. [Link]
  • Yuhan Xiao, Huiping Lin, Quanbin Wang and Ying Tan, "An algorithm for aspect-based sentiment analysis based on dual features attention-over-attention" (基于双特征嵌套注意力的方面词情感分析算法),《智能系统学报》, May 5th 2021, vol 16, pp. 142-151. [Link] [pdf]

Conference Papers​

  • Renlong Chen and Ying Tan. "A Multi-branch Ensemble Agent Network for Multi-agent Reinforcement Learning", 6th International Conference on Data Mining and Big Data, DMBD 2021 , Guangzhou, China, October 20-22, 2021, Springer CCIS 1454 pp. 485-498 [pdf]
  • Peibin Chen and Ying Tan. "Stock Market Movement Prediction by Gated Hierarchical Encoder", 12th International Conference on Swarm Intelligence, ICSI2021 , Qingdao, China, July 17-21, 2021, LNCS vol 12690 pp. 511-521 [Link] [pdf]
  • Yifeng Li and Ying Tan. "Enhancing Fireworks Algorithm in Local Adaptation and Global Collaboration", 12th International Conference on Swarm Intelligence, ICSI2021, Qingdao, China, July 17-21, 2021, LNCS vol 12690 pp. 451-465 [Link][pdf]
  • Maiyue Chen and Ying Tan, "Exponentially Decaying Explosion in Fireworks Algorithm," 2021 IEEE Congress on Evolutionary Computation (CEC) , 2021, pp. 1406-1413, doi: 10.1109/CEC45853.2021.9504974. [Link] [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. 643-654 [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. 99-106[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 Multi-Stage Perturbed Differential Evolution with Multi-Parameter Adaption and Directional Difference.” Natural Computing, vol. 19, no. 4, 2020, pp. 1–16. [pdf]
  • Yihua Hu, Minle Li, Xiangyu Liu and Ying Tan. “Multi-Source, Multi-Object and Multi-Domain (M-SOD) 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. 12-16. [link]

​Conference Papers

  • Tao Ma and Ying Tan. “Adaptive and Dynamic Knowledge Transfer in Multi-Task 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. 1-7, doi: 10.1109/IJCNN48605.2020.9206715. [pdf]
  • Tao Ma and Ying Tan. “Multiple Stock Time Series Jointly Forecasting with Multi-Task Learning". In 2020 International Joint Conference on Neural Networks (IJCNN) 19 – 24th July, 2020, Glasgow (UK), pp. 1-8, doi: 10.1109/IJCNN48605.2020.9207543. pp. 1-8 [pdf]
  • Yifeng Li and Ying Tan. “Multi-Scale Collaborative Fireworks Algorithm.” 2020 IEEE Congress on Evolutionary Computation (CEC), 19 – 24th July, 2020, Glasgow (UK), pp. 1-8, doi: 10.1109/CEC48606.2020.9185563. [pdf]
  • Xiangyu Liu and Ying Tan. "Feudal Latent Space Exploration for Coordinated Multi-agent Reinforcement Learning." Adaptive and Learning Agents Workshop at International Conference on Autonomous Agents and Multi-Agent 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. 542-555 [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 "Semi-supervised 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 Multi-Target 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 Two-Stage Imitation Learning Framework for the Multi-Target Search Problem in Swarm Robotics" Neurocomputing, vol. 334, 2019, pp. 249–264. [link] [PDF]
  • Weidi Xu and Ying Tan. "Semi-supervised Target-oriented Sentiment Classification" Neurocomputing, vol. 337, 2019, pp. 120–128. [link] [PDF]
  • Yihua Hu, Minle Li, Xiangyu Liu and Ying Tan. "Multi-source, Multi-object and Multi-domain (M-SOD) Electromagnetic Interference System Optimised by Intelligent Optimisation Approaches" Natural Computing, 19, no. 4, 2020, , pp. 713-732. [link] [PDF]

Conference Papers

  • Weiwei Hu, Anhong Dang, and Ying Tan, "A Survey of State-of-the-Art 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 Weight-Based 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. 3-17[link] [pdf].
  • Jun Yu, Hideyuki Takagi and Ying Tan. "Fireworks Algorithm for Multimodal Optimization Using a Distance-based Exclusive Strategy" 2019 IEEE Congress on Evolutionary Computation (CEC) , Wellington, New Zealand, 2019, pp. 2215-2220, doi: 10.1109/CEC.2019.8790312. [link] [pdf]
  • Xiangyu Liu and Ying Tan. "Learning Distributed Coordinated Policy in Catching Game with Multi-Agent Reinforcement Learning" 2019 International Joint Conference on Neural Networks (IJCNN) , Budapest, Hungary, 2019, pp. 1-7, doi: 10.1109/IJCNN.2019.8851905. [link] [pdf]

2018

Journal Papers

  • Wang Kun-Feng, Zuo Wang-Meng, Tan Ying, Qin Tao, Li Li, Wang Fei-Yue. Generative adversarial networks: from generating data to creating intelligence. ACTA AUTOMATICA SINICA, 2018, 44(5): 769-774. doi: 10.16383/j.aas.2018.y000001 (王坤峰, 左旺孟, 谭营, 秦涛, 李力, 王飞跃. 生成式对抗网络:从生成数据到创造智能. 自动化学报, 2018, 44(5): 769-774) [Link] [Pdf]
  • Jun Yu, Hideyuki Takagi and Ying Tan. "Multi-layer 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, （SCI, EI检索）(IF=8.8); [pdf]
  • Wang Kun-Feng, Zuo Wang-Meng, Tan Ying, Qin Tao, Li Li, Wang Fei-Yue. "Generative adversarial networks: from generating data to creating intelligence." Acta Automatica Sinica, 2018, 44(5): 769-774.（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 [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. 614-623, 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 (GECCO-18), July 15-19, 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 8-13, 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 8-13, 2018, Rio de Janeiro, Brazil.[pdf]
  • Haoran Luo, Weidi Xu and Ying Tan, "A Discrete Fireworks Algorithm for Solving Large-Scale Travel Salesman Problem" 2018 IEEE World Congress on Computational Intelligence (WCCI'2018), The IEEE Congress on Evolutionary Computation (CEC'2018), July 8-13, 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 13-16, 2018, Proceedings, Part V. 10.1007/978-3-030-04221-9_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 13-16, 2018, Proceedings, Part II. 10.1007/978-3-030-04179-3_25. [pdf]

2017

Journal Papers

  • Junzhi Li, Ying Tan, "Loser-out Tournament Based Fireworks Algorithm for Multi-modal 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].
  • Gai-Ge 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): 454-462. （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. 153-166. （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 Bio-Inspired Swarm Computing and Engineering"; IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), vol. 14, no. 1, Jan/Feb 2017, pp. 1-3. [pdf].
  • Ying Tan, Yuhui Shi and Xin Yao, "Preface: Swarm Intelligence Algorithms and Applications I"; Natural Computing, , vol. 16, no. 1, pp. 1-4, Jan. 2017. (DOI:10.1007/s11047-016-9594-x) [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. 27-41. [pdf].

Conference Papers

  • Xu Weidi, Sun Haozhe, C. Deng and Ying Tan, "Variational Autoencoder for Semi-supervised Text Classification" the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), Feb 25-30, 2017, San Francisco, USA. pp.1-7. [pdf]
  • Weiwei Hu and Ying Tan, "On the Robustness of Machine Learning Based Malware Detection" International Joint Conference on Neural Networks (IJCNN 2017), May 25-30, 2017, Anchorage, Alaska, USA. pp.1-7. [pdf]
  • X.C. Zhao, R. Li, XQ Zuo, and Y. Tan, "Elite-Leading Fireworks Algorithm" Springer-LNCS10385, pp. 493-500. Y. Tan et al. (Eds.): ICSI 2017, Part I, LNCS 10385, pp. 493–500, 2017. DOI: 10.1007/978-3-319-61824-1_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: 10.1007/978-3-319-61824-1_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: 10.1007/978-3-319-61833-3 16. （EI检索）[pdf]
  • Weiwei Hu and Ying Tan, "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN".;https://arxiv.org/abs/1702.05983

2016

Journal Papers

  • Ying Tan and Ke Ding, "A Survey on GPU-based Implementation of Swarm Intelligence Algorithms," IEEE Transactions on Cybernetics, September 2016, Vol. 46, No.9, pp. 2028-2041 [pdf].
  • Weiwei Hu and Ying Tan, "Prototype Generation Using Multi-Objective Particle Swarm Optimization for Nearest Neighbor Classification," IEEE Transactions on Cybernetics, 2016, Vol. 46, No.12, pp. 2719-2731. [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].
  • Gai-ge 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 Fitness-Based Crowdedness-Avoiding Strategy, " 2016 IEEE World Congress on Computational Intelligence (WCCI'2016), The IEEE Congress on Evolutionary Computation (CEC'2016) , July 25-30, 2016, Vancouver, Canada, pp.1-7. [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 25-30, 2016, Vancouver, Canada, pp.1-8. [pdf]
  • Haoze Sun, Weidi Xu, Chao Deng,and Ying Tan, "Multi-digit 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 25-30, 2016, Vancouver, Canada, pp.1-6. [pdf]
  • Yuchen Zhang, Xiujuan Lei,and Ying Tan, "Detecting Firefly Algorithm for Numerical Optimization, " The Seventh International Conference on Swarm Intelligence (ICSI'2016) , June 25-30, 2016, Padma Resort, Bali, Indonesia, Springer, LNCS 9712, pp.200-210. [pdf]
  • Weiwei Hu and Ying Tan, "Partitioning Based N-Gram Feature Selection for Malware Classification, " The International Conference on Data Mining and Big Data (DMBD'2016) , June 25-30, 2016, Padma Resort, Bali, Indonesia, Springer, LNCS 9714, pp.187-195. [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 25-30, 2016, Padma Resort, Bali, Indonesia, Springer, LNCS 9713, pp.544-552. [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 25-30, 2016, Padma Resort, Bali, Indonesia, Springer, LNCS 9714, pp.205-218. [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 GPU-based Implementation of Swarm Intelligence Algorithms," IEEE Transactions on Cybernetics, October 2015, Vol. 45, [pdf].
  • Weiwei Hu and Ying Tan, "Prototype Generation Using Multi-Objective 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), April-June 2015, vol. 6, No. 2, pp.iv-vii. IGI Global. [pdf]
  • Yan Pei, Shaoqiu Zheng, Ying Tan, and Hideyuki Takagi, "Effectiveness of Approximation Strategy in Surrogate-assisted Fireworks Algorithm," International Journal of Machine Learning and Cybernetics, October 2015, Vol. x, No. x, pp. 1-14. [pdf]
  • K. Ding, Y. Tan, "Attract-Repulse Fireworks Algorithm and its CUDA Implementation Using Dynamic Parallelism, " International Journal of Swarm Intelligence Research (IJSIR), April-June 2015, vol. 6, No. 2, pp.1-31. IGI Global. [pdf], [sample-pdf]
  • 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. 1-11. [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.1-42.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (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.412-435.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (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.298-332.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (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 25-28, 2015, Killarney, Ireland, pp.1-8. [pdf]
  • Junzhi Li and Y. Tan, "Orienting Mutation Based Fireworks Algorithm, " 2015 IEEE Congress on Evolutionary Computation (CEC'2015) , May 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8. [pdf]
  • Chao Yu and Y. Tan, "Fireworks Algorithm with Covariance Mutation, " 2015 IEEE Congress on Evolutionary Computation (CEC'2015) , May 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8. [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 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8. [pdf]
  • Lang Liu, Shaoqiu Zheng and Y. Tan, "S-metric Based Multi-Objective Fireworks Algorithm, " 2015 IEEE Congress on Evolutionary Computation (CEC'2015) , May 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8. [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 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8. [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 25-28, 2015, Sendai International Center, Sendai, Japan, pp.1-8. [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 3-5, 2015, Halifax, Nova Scotia, Canada, pp.1-8. [pdf]
  • Guyue Mi, Yang Gao, and Y. Tan, "Apply Stacked Auto-Encoder to Spam Detection, " The Sixth International Conference on Swarm Intelligence held in conjunction with the Second BRICS Congress on Computational Intelligence (ICSI-CCI 2015) , BICC, Beijing, China, June 25-29, 2015. Springer, LNCS 9141, pp. 3-15. [pdf]

2014

Journal Papers

  • P.T. Zhang and Y. Tan, "Immune Cooperation Mechanism Based Learning Framework," Neurocomputing, Jan. 2015, Vol. 148 pp. 158-166. [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. 1-26. [pdf]
  • Y. Tan, "Editorial: Special Issue on Advances in Swarm Intelligence for Neural Networks," Neurocomputing, Jan. 2015, Vol. 148, pp. 1-2. [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. 515-528. [pdf]
  • Andreas Janecek and Ying Tan, “Swarm Intelligence for Dimensionality Reduction: How to Improve the Nonnegative Matrix Factorization with Nature-inspired 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 07-11, 2014, Beijing International Convention Center (BICC), Beijing, China, pp. 3222-3229. [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 07-11, 2014, Beijing International Convention Center (BICC), Beijing, China, pp. 3214-3221. [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 07-11, 2014, Beijing International Convention Center (BICC), Beijing, China, pp. 3207-3213. [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 07-11, 2014, Beijing International Convention Center (BICC), Beijing, China, pp. 2664-2671. [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 07-11, 2014, Beijing International Convention Center (BICC), Beijing, China, pp. 3238-3245. [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 07-11, 2014, Beijing International Convention Center (BICC), Beijing, China, pp. 784-791. [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 5-8, 2014,Paradise Point Resort and Spa, San Diego, California, USA. pp. 252-257. [pdf]
  • C. Yu, and Y. Tan, "Improving Enhanced Fireworks Algorithm with Differential Mutation, " The 2014 IEEE International Conference on Systems, Man, and Cybernetics, October 5-8, 2014,Paradise Point Resort and Spa, San Diego, California, USA. pp. 270-275. [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 17-20, 2014. Springer, LNCS 8794, pp. 74-85. [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 17-20, 2014. Springer, LNCS 8794, pp. 223-233. [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 17-20, 2014. Springer, LNCS 8794, pp. 479-488. [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 17-20, 2014. Springer, LNCS 8794, pp. 489-498. [pdf]
  • K. Ding, and Y. Tan, "cuROB: A GPU-Based Test Suit for Real-Parameter Optimization " The Fifth International Conference on Swarm Intelligence (ICSI 2014) , Hefei, China, October 17-20, 2014. Springer, LNCS 8794, pp. 66-78. [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 17-20, 2014. Springer, LNCS 8794, pp. 442-451. [pdf]
  • J. Li and Y. Tan, "The Multi-target Search Problem with Environmental Restrictions in Swarm Robotics " Proceeding of the 2014 IEEE International Conference on Robotics and Biomimetics (Robio 2014) , Bali, Indonesia, December 5-10, 2014. IEEE, pp. 2685-2690. [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), October-December 2013, vol. 4, No. 4, pp. 39-71. [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. 29-38. [pdf], [On-line 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.230-242. [pdf], [On-line Version]
  • Y. Tan and Zhongyang Zheng "Research Advance in Swarm Robotics ," Defence Technology, March 2013, vol. 9, No. 1, pp. 31-62. or pp.18-39, 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. 1-2. [pdf]
  • Y. Tan and P.T. Zhang "Immune based Computer Virus Detection Approaches ," CAAI Transactions on Intelligent Systems, Vol.8, No. 1, 2013, pp. 80-94. [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), January-March 2013, vol. 4, No. 1, pp. i, 1-132. [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 19-23, 2013, China National Convention Center (CNCC), Beijing, China, pp. 2484-2488. [pdf]
  • K. Ding, S.Q. Zheng and Y. Tan, "A GPU-based 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 06-10, 2013. pp. 1-8. [pdf]
  • G.Y. Mi, P.T. Zhang and Y. Tan, "A Multi-Resolution-Concentration Based Feature Construction Approach for Spam Filtering "The International Joint Conference on Neural Networks (IJCNN 2013) , Fairmont Hotel, Dallas, TX, USA, August 4-9, 2013. pp. 1-8. [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 4-9, 2013. pp. 1-8. [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 20-23, Fiesta Americana Grand Coral Beach Hotel, Cancun, Mexico, pp. 1-8. [pdf]
  • Shaoqiu Zheng, Andreas Janecek and Ying Tan, "Enhanced Fireworks Algorithm "2013 IEEE Congress on Evolutionary Computation, (IEEE CEC 2013) , June 20-23, Fiesta Americana Grand Coral Beach Hotel, Cancun, Mexico, pp. 10-19. [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 23-25, 2013. pp. 979-985. [pdf]
  • P.T. Zhang and Y. Tan, "Class-wise Information Gain "Third International Conference on Information Science and Technology (ICIST 2013) , Yangzhou, Jiangsu, China, March 23-25, 2013. pp. 972-978. [pdf]
  • Z.Y. Zheng and Y. Tan, "An Indexed K-D Tree for Neighborhood Generation in Swarm Robotics Simulation "The Fourth International Conference on Swarm Intelligence (ICSI 2013) , Harbin, China, June 12-15, 2013. Springer, LNCS 7929, pp. 53-62. [pdf]
  • J.H. Liu, S.Q. Zheng and Y. Tan, "The Improvement on Controlling Exploration and Exploitation of Firework Algorithm "The Fourth International Conference on Swarm Intelligence (ICSI 2013) , Harbin, China, June 12-15, 2013. Springer, LNCS 7928, pp. 11-23. [pdf]
  • W.R. He, G.Y. Mi, and Y. Tan, "Parameter Optimization of Local-Concentration Model for Spam Detection by Using Fireworks Algorithm "The Fourth International Conference on Swarm Intelligence (ICSI 2013) , Harbin, China, June 12-15, 2013. Springer, LNCS 7928, pp. 439-450. [pdf]
  • Zhichao Zhang, Shaoqiu Zheng, Weiping Liz, Ying Tan, Zhonghai Wu, Wei Tan, "Genetic Algorithm for Context-Aware Service Composition Based on Context Space Model "IEEE 20th International Conference on Web Services (IEEE ICWS 2013), June 27-July 2, 2013, Santa Clara Marriott, CA, USA, pp. 1-2. [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 10-15, 2012. pp. 429-436. [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 14-17, 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 17-20, 2012. Springer, LNCS 7331, pp. 291-299. [pdf]
  • J. Wang and Y. Tan, "Hausdorff Distance with k-Nearest Neighbors "The Third International Conference on Swarm Intelligence (ICSI 2012) , Shenzhen, China, June 17-20, 2012. Springer, LNCS 7332, pp. 272-281. [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 17-20, 2012. Springer, LNCS 7332, pp. 74-83. [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:471-482, 2011年12月. [pdf]
  • Andreas Janecek, Ying Tan, " Swarm Intelligence for Non-negative Matrix Factorization," International Journal of Swarm Intelligence Research (IJSIR), 2(4), pp. 12-34, October-December 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.798-812, 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. 486-497.. [pdf]
  • X. Huang, Y. Tan, X.G. He, "An Intelligent Multi-feature Statistical Approach for Discrimination of Driving Conditions of Hybrid Electric Vehicle,"IEEE Transactions on Intelligent Transportation Systems, Vol. 12, No. 2, June, 2011, pp. 453-465. [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.204-215.(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.204-215. [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. 238-244.(In Chinese) [pdf]
  • W.Wang, P.T. Zhang, Y. Tan, and X.G. He," An Immune Local Concentration-Based Virus Detection Approach, Journal of Zhejiang University-SCIENCE C (Computers and Electronics), Vol. 11, No. 3, 2011, pp. 1-13. [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.257-268, 2011. [pdf]
  • Junqi Zhang, Ying Tan, Lina Ni, Chen Xie, and Zheng Tang, "AMT-PSO: An Adaptive Magnification Transformation Based Particle Swarm Optimizer," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E94-D, no. 4, pp.768-797, 2011. (IF:1.59) [pdf]
  • Y. Zhou,Y. Tan, " GPU-Based Parallel Multi-objective Particle Swarm Optimization, International Journal of Artificial Intelligence, Vol. 6, no. 4, Autumn, 2011 pp.125-141. [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.110-111. [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. 1625-1632. [pdf]
  • J. Wang and Y. Tan, "Morphological Image Enhancement Procedure Design By Using Genetic Programming, " ACM Genetic and Evolutionary Computation Conference (GECCO’2011), July 12-16, 2011, Dublin, Ireland, pp. 1-8.(8-pages oral and full paper). [pdf]
  • Andreas Janecek and Y. Tan, "Iterative Improvement of the Multiplicative Update NMF Algorithm using Nature-inspired Optimization,"The 7th International Conference on Natural Computation (ICNC’11) and the 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’11) , 26-28 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 12-15, Chongqing, China, 2011. LNCS 6729, Springer-Verlag, 2011, pp.553-562. [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 12-15, Chongqing, China, 2011. LNCS 6729, Springer-Verlag, 2011, pp.218-227. [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 12-15, Chongqing, China, 2011. ICSI 2011, Part I, LNCS 6728, Springer-Verlag, 2011.pp.549-558. [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 12-15, Chongqing, China, 2011. LNCS 6728, Springer-Verlag, 2011, pp.382-389. [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 12-15, Chongqing, China, 2011. Part II, LNCS 6729, Springer-Verlag, 2011, pp.307-316. [pdf]

2010

Journal Papers

  • Y. Tan, "Particle Swarm Optimization Algorithms Inspired by Immunity-Clonal 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:189-201, 2010年6月. [pdf]
  • S.C. Gu, Y. Tan, X.G. He, "Discriminant Analysis via Support Vectors," Neurocomputing, Vol.73, No.10-12, pp.1669-1675, 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. 2461-2471, 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. E93-A, no. 10, pp.1782-1791, October, 2010. (IF:1.59) [pdf]
  • S.C. Gu, Y. Tan, X.G. He, "Recent-Biased Learning for Time Series Forecast," Information Science, 180(2010)321-331, 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. 2415-2428, December, 2010, (doi: 10.1007/s11432-009-0008-x). (IF:0.79) [pdf]
  • G.C. Ruan, Y. Tan, "A Three-layer Back-propagation Neural Network for Spam Detection Using Artificial Immune Concentration," Softcomputing, Vol.14, pp.139-150, 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 Meng-hiot 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 E-mail 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 18-23, 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 7-11, 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 6-9, 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: VTC2010-Fall 6-9 September 2010, Ottawa, Canada [pdf]
  • Ying Tan, Yuanchun Zhu, "Fireworks Algorithms for Optimization," Proc. of International Conference on Swarm Intelligence (ICSI’2010), June 12-15, Beijing, China, 2010. ICSI 2010, Part II, LNCS 6145, pp.355-364, 2010. Springer-Verlag,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 12-15, Beijing, China, 2010. ICSI 2010, Part II, LNCS 6145, pp.52-59, 2010. Springer-Verlag,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 12-15, Beijing, China, 2010. ICSI 2010, Part II, LNCS 6145, pp.347-354, 2010. Springer-Verlag,2010. [pdf]

2009

Journal Papers

  • Y. Tan and Junqi Zhang, "Magnifier Particle Swarm Optimisation and its Application to Spam Detection", in Nature-Inspired Optimisation, Springer-Verlag. 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 14-19, 2009, pp. 1344-1350.[pdf]
  • Y. Zhou, Y. Tan, ''GPU-based parallel particle swarm optimization'', IEEE Congress on Evolutionary Computation, 2009. CEC '09, 18-21 May 2009 Page(s):1493 - 1500.
  • [pdf]
  • X. Huang, Y. Tan, X.G. He, "An Intelligent Multi-feature Statistical Approach for Discrimination of Driving Conditions of Hybrid Electric Vehicle," IEEE International Joint Conference on Neural Networks (IJCNN’2009), June 14-19, Atlanta, Georgia, U.S.A., 2009, June 14-19, 2009, pp. 1286-1293.
  • 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 26-29, 2009, pp. 466-475.
  • 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 1-6, Hong Kong, 2008. pp. 2228-2235.
  • 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 1-6, 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 8-11, 2008. pp.612-617.
  • 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 7-11, 2008. pp.359-365.
  • 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 12-16, 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 12-16, 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.854-857, 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 24-27, 2007. (regular paper). [ pdf]
  • Ying Tan. "Neural-Based 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: 705-714. [ 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 25-27, 2007.

Edited Books or Procceedings

  • Ying Tan, Yuhui Shi, Wenjian Luo (Eds), Advances in Swarm Intelligence, Lecture Notes in Computer Science, LNCS 13968, Springer, 492 pages, 2023.07.
  • Ying Tan, Yuhui Shi, Wenjian Luo (Eds), Advances in Swarm Intelligence, Lecture Notes in Computer Science, LNCS 13969, Springer, 538 pages, 2023.07.
  • Ying Tan, Yuhui Shi (Eds), Data Mining and Big Data, Communications in Computer and Information Science, CCIS 1744, Springer, 435 pages, 2022.11.
  • Ying Tan, Yuhui Shi (Eds), Data Mining and Big Data, Communications in Computer and Information Science, CCIS 1745, Springer, 465 pages, 2022.11.
  • Ying Tan, Yuhui Shi, Ben Niu (Eds), Advances in Swarm Intelligence,Springer Lecture Notes in Computer Science, LNCS 13344, Springer, 548 pages, 2022.07.
  • Ying Tan, Yuhui Shi, Ben Niu (Eds), Advances in Swarm Intelligence,Springer Lecture Notes in Computer Science, LNCS 13345, Springer, 454 pages, 2022.07.
  • Ying Tan, Yuhui Shi, Albert Zomaya, Hongyang Yan, Jun Cai (Eds), Data Mining and Big Data, Communications in Computer and Information Science, CCIS 1453, Springer, 501 pages, 2021.10.
  • Ying Tan, Yuhui Shi, Albert Zomaya, Hongyang Yan, Jun Cai (Eds), Data Mining and Big Data, Communications in Computer and Information Science, CCIS 1454, Springer, 501 pages, 2021.10.
  • Ying Tan, Yuhui Shi (Eds), Advances in Swarm Intelligence,Springer Lecture Notes in Computer Science, LNCS 12689, Springer, 586 pages, 2021.07.
  • Ying Tan, Yuhui Shi (Eds), Advances in Swarm Intelligence,Springer Lecture Notes in Computer Science, LNCS 12690, Springer, 580 pages, 2021.07.
  • 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:978-1-78561-629-7.
  • 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:978-1-78561-629-7.
  • 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:978-1-78561-629-7.
  • 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:978-1-78561-629-7.
  • 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, ISBN-10: 1799816591,ISBN-13: 978-1799816591.
  • 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, ISBN-10: 1799816591,ISBN-13: 978-1799816591.
  • 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.1-42.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (ebook). [link]
  • 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.412-435.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (ebook). [link]
  • 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.298-332.ISBN 978-1-4666-9572-6 (hardcover) -- ISBN 978-1-4666-9573-3 (ebook). [link]
  • Andreas Janecek and Ying Tan, “Swarm Intelligence for Dimensionality Reduction: How to Improve the Nonnegative Matrix Factorization with Nature-inspired 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 Meng-hiot Lim, Springer, 2010. [pdf]
  • Y. Tan and Junqi Zhang, "Magnifier Particle Swarm Optimisation and its Application to Spam Detection", in Nature-Inspired Optimisation, Springer-Verlag. New York, 2009. [pdf]

Translations of MIT Opencourse

  • Ying Tan, Guangchen Ruan, Jian Yang. "9-520 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]
Top
Copyright © 2007-2012 Computational Intelligence Laboratory, Peking University. All Rights Reserved
Tel: 86-10-62756374 PostCode: 100871
Address: School of Electronics Engineering and Computer Science, Peking University