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ORCIDYing Tan 0002
Person information
- affiliation: Peking University, Key Laboratory of Machine Perception (MOE) / Department of Machine Intelligence, Beijing, China
- affiliation (PhD 1997): Southeast University, Nanjing, China
Other persons with the same name
- Ying Tan — disambiguation page
- Ying Tan 0001
![[0000-0001-8495-0246]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8495-0246")
— The University of Melbourne, Melbourne School of Engineering, VIC, Australia (and 2 more) - Ying Tan 0003 — Taiyuan University of Science and Technology, Department of Computer Science and Technology, China
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2020 – today
- 2025
[j60]Delong Chen, Zhao Wu, Fan Liu, Zaiquan Yang, Shaoqiu Zheng, Ying Tan, Erjin Zhou:
ProtoCLIP: Prototypical Contrastive Language Image Pretraining. IEEE Trans. Neural Networks Learn. Syst. 36(1): 610-624 (2025)- 2024
- [j59]Sai Yang, Fan Liu, Shaoqiu Zheng, Ying Tan:
JLCSR: Joint Learning of Compactness and Separability Representations for Few-Shot Classification. IEEE Trans. Cogn. Dev. Syst. 16(2): 757-771 (2024) - [j58]Feihu Jin, Yifan Liu, Ying Tan:
Derivative-Free Optimization for Low-Rank Adaptation in Large Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4607-4616 (2024) - [c133]Yifan Liu, Ying Tan:
Improved Discrete Fireworks Algorithm for Large Scale Knapsack Problem. CEC 2024: 1-10 - [e43]Ying Tan, Yuhui Shi:
Data Mining and Big Data - 8th International Conference, DMBD 2023, Sanya, China, December 9-12, 2023, Proceedings, Part I. Communications in Computer and Information Science 2017, Springer 2024, ISBN 978-981-97-0836-9 [contents] - [e42]Ying Tan, Yuhui Shi:
Data Mining and Big Data - 8th International Conference, DMBD 2023, Sanya, China, December 9-12, 2023, Proceedings, Part II. Communications in Computer and Information Science 2018, Springer 2024, ISBN 978-981-97-0843-7 [contents] - [e41]Ying Tan, Yuhui Shi:
Advances in Swarm Intelligence - 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23-26, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14788, Springer 2024, ISBN 978-981-97-7180-6 [contents] - [e40]Ying Tan, Yuhui Shi:
Advances in Swarm Intelligence - 15th International Conference on Swarm Intelligence, ICSI 2024, Xining, China, August 23-26, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14789, Springer 2024, ISBN 978-981-97-7183-7 [contents] - [i8]Feihu Jin, Yifan Liu, Ying Tan:
Zero-Shot Chain-of-Thought Reasoning Guided by Evolutionary Algorithms in Large Language Models. CoRR abs/2402.05376 (2024) - [i7]Feihu Jin, Yin Liu, Ying Tan:
Derivative-Free Optimization for Low-Rank Adaptation in Large Language Models. CoRR abs/2403.01754 (2024) - 2023
- [j57]Renlong Chen, Ying Tan:
Credit assignment with predictive contribution measurement in multi-agent reinforcement learning. Neural Networks 164: 681-690 (2023) - [j56]Maiyue Chen, Ying Tan:
SF-FWA: A Self-Adaptive Fast Fireworks Algorithm for effective large-scale optimization. Swarm Evol. Comput. 80: 101314 (2023) - [j55]Xiangyu Liu, Ying Tan:
Feudal Latent Space Exploration for Coordinated Multi-Agent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7775-7783 (2023) - [j54]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 Trans. Syst. Man Cybern. Syst. 53(11): 7138-7151 (2023) - [c132]Maiyue Chen, Ying Tan:
FWA-RL: Fireworks Algorithm with Policy Gradient for Reinforcement Learning. CEC 2023: 1-9 - [c131]Renlong Chen, Ying Tan:
Efficient Multi-Agent Exploration with Mutual-Guided Actor-Critic. CEC 2023: 1-9 - [c130]Maiyue Chen, Ying Tan:
GEFWA: Gradient-Enhanced Fireworks Algorithm for Optimizing Convolutional Neural Networks. ICSI (1) 2023: 323-333 - [e39]Ying Tan, Yuhui Shi, Wenjian Luo:
Advances in Swarm Intelligence - 14th International Conference, ICSI 2023, Shenzhen, China, July 14-18, 2023, Proceedings, Part I. Lecture Notes in Computer Science 13968, Springer 2023, ISBN 978-3-031-36621-5 [contents] - [e38]Ying Tan, Yuhui Shi, Wenjian Luo:
Advances in Swarm Intelligence - 14th International Conference, ICSI 2023, Shenzhen, China, July 14-18, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13969, Springer 2023, ISBN 978-3-031-36624-6 [contents] - 2022
- [j53]Tao Ma, Ying Tan:
Stock Ranking with Multi-Task Learning. Expert Syst. Appl. 199: 116886 (2022) - [j52]Yinan Guo, Botao Jiao, Ying Tan, Pei Zhang, Fengzhen Tang:
A transfer weighted extreme learning machine for imbalanced classification. Int. J. Intell. Syst. 37(10): 7685-7705 (2022) - [j51]Xiangyu Liu, Ying Tan:
Attentive Relational State Representation in Decentralized Multiagent Reinforcement Learning. IEEE Trans. Cybern. 52(1): 252-264 (2022) - [c129]Jiali Chen, Kai Jiang, Rupeng Liang, Jing Wang, Shaoqiu Zheng, Ying Tan:
Heterogeneous Multi-unit Control with Curriculum Learning for Multi-agent Reinforcement Learning. DMBD (1) 2022: 3-16 - [c128]Renlong Chen, Ling Ye, Shaoqiu Zheng, Yabin Wang, Peng Cui, Ying Tan:
Attentive Relational State Representation for Intelligent Joint Operation Simulation. DMBD (1) 2022: 62-74 - [c127]Jiwei Zhang, Lian Yang, Tianbo Ye, Jiaen Zhou, Wendong Wang, Ying Tan:
Pose Sequence Model Using the Encoder-Decoder Structure for 3D Pose Estimation. DMBD (1) 2022: 165-177 - [c126]Weiwei Hu, Ying Tan:
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN. DMBD (2) 2022: 409-423 - [c125]Junzhi Li, Ying Tan:
Information Utilization Ratio in Heuristic Optimization Algorithms. ICSI (1) 2022: 3-22 - [c124]Yifan Liu, Yifeng Li, Ying Tan:
Enhancing Fireworks Algorithm in Local Adaptation and Global Collaboration for Solving ICSI 2022 Benchmark Problems. ICSI (2) 2022: 413-422 - [e37]Ying Tan, Yuhui Shi:
Data Mining and Big Data - 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part I. Communications in Computer and Information Science 1744, Springer 2022, ISBN 978-981-19-9296-4 [contents] - [e36]Ying Tan, Yuhui Shi:
Data Mining and Big Data - 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part II. Communications in Computer and Information Science 1745, Springer 2022, ISBN 978-981-19-8990-2 [contents] - [e35]Ying Tan, Yuhui Shi, Ben Niu:
Advances in Swarm Intelligence - 13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13344, Springer 2022, ISBN 978-3-031-09676-1 [contents] - [e34]Ying Tan, Yuhui Shi, Ben Niu:
Advances in Swarm Intelligence - 13th International Conference, ICSI 2022, Xi'an, China, July 15-19, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13345, Springer 2022, ISBN 978-3-031-09725-6 [contents] - 2021
- [j50]Ying Tan, Yuhui Shi, Xin Yao:
Preface. Nat. Comput. 20(1): 1-2 (2021) - [c123]Maiyue Chen, Ying Tan:
Exponentially Decaying Explosion in Fireworks Algorithm. CEC 2021: 1406-1413 - [c122]Renlong Chen, Ying Tan:
A Multi-branch Ensemble Agent Network for Multi-agent Reinforcement Learning. DMBD (2) 2021: 485-498 - [c121]Zeneng She, Wenjian Luo, Yatong Chang, Xin Lin, Ying Tan:
A New Evolutionary Approach to Multiparty Multiobjective Optimization. ICSI (2) 2021: 58-69 - [c120]Yifeng Li, Ying Tan:
Enhancing Fireworks Algorithm in Local Adaptation and Global Collaboration. ICSI (1) 2021: 451-465 - [c119]Peibin Chen, Ying Tan:
Stock Market Movement Prediction by Gated Hierarchical Encoder. ICSI (2) 2021: 511-521 - [e33]Ying Tan, Yuhui Shi, Albert Y. Zomaya, Hongyang Yan, Jun Cai:
Data Mining and Big Data - 6th International Conference, DMBD 2021, Guangzhou, China, October 20-22, 2021, Proceedings, Part I. Communications in Computer and Information Science 1453, Springer 2021, ISBN 978-981-16-7475-4 [contents] - [e32]Ying Tan, Yuhui Shi, Albert Y. Zomaya, Hongyang Yan, Jun Cai:
Data Mining and Big Data - 6th International Conference, DMBD 2021, Guangzhou, China, October 20-22, 2021, Proceedings, Part II. Communications in Computer and Information Science 1454, Springer 2021, ISBN 978-981-16-7501-0 [contents] - [e31]Ying Tan, Yuhui Shi:
Advances in Swarm Intelligence - 12th International Conference, ICSI 2021, Qingdao, China, July 17-21, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12689, Springer 2021, ISBN 978-3-030-78742-4 [contents] - [e30]Ying Tan, Yuhui Shi:
Advances in Swarm Intelligence - 12th International Conference, ICSI 2021, Qingdao, China, July 17-21, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12690, Springer 2021, ISBN 978-3-030-78810-0 [contents] - 2020
- [j49]Junzhi Li, Ying Tan:
A Comprehensive Review of the Fireworks Algorithm. ACM Comput. Surv. 52(6): 121:1-121:28 (2020) - [j48]Ying Tan, Yuhui Shi, Xin Yao:
Preface. Nat. Comput. 19(4): 643-645 (2020) - [j47]Guangzhi Xu, Rui Li, Junling Hao, Xinchao Zhao, Ying Tan:
A new multi-stage perturbed differential evolution with multi-parameter adaption and directional difference. Nat. Comput. 19(4): 683-698 (2020) - [j46]Yihua Hu, Minle Li, Xiangyu Liu, Ying Tan:
Multi-source, multi-object and multi-domain (M-SOD) electromagnetic interference system optimised by intelligent optimisation approaches. Nat. Comput. 19(4): 713-732 (2020) - [j45]Ying Tan, Quanbin Wang, Guyue Mi:
Ensemble Decision for Spam Detection Using Term Space Partition Approach. IEEE Trans. Cybern. 50(1): 297-309 (2020) - [j44]Weidi Xu, Ying Tan:
Semisupervised Text Classification by Variational Autoencoder. IEEE Trans. Neural Networks Learn. Syst. 31(1): 295-308 (2020) - [c118]Yifeng Li, Ying Tan:
Multi-Scale Collaborative Fireworks Algorithm. CEC 2020: 1-8 - [c117]Tao Ma, Ying Tan:
Adaptive and Dynamic Knowledge Transfer in Multi-task Learning with Attention Networks. DMBD 2020: 1-13 - [c116]Tao Ma, Ying Tan:
Multiple Stock Time Series Jointly Forecasting with Multi-Task Learning. IJCNN 2020: 1-8 - [c115]Quanbin Wang, Ying Tan:
Grammatical Error Detection with Self Attention by Pairwise Training. IJCNN 2020: 1-7 - [c114]Yi-Nan Guo, Jianjiao Ji, Ying Tan, Shi Cheng:
Multi-objective Combinatorial Generative Adversarial Optimization and Its Application in Crowdsensing. ICSI 2020: 423-434 - [c113]Chunyan Fan, Xiujuan Lei, Ying Tan:
Inferring Candidate CircRNA-Disease Associations by Bi-random Walk Based on CircRNA Regulatory Similarity. ICSI 2020: 485-494 - [e29]Ying Tan, Yuhui Shi, Milan Tuba:
Data Mining and Big Data - 5th International Conference, DMBD 2020, Belgrade, Serbia, July 14-20, 2020, Proceedings. Communications in Computer and Information Science 1234, Springer 2020, ISBN 978-981-15-7204-3 [contents] - [e28]Ying Tan, Yuhui Shi, Milan Tuba:
Advances in Swarm Intelligence - 11th International Conference, ICSI 2020, Belgrade, Serbia, July 14-20, 2020, Proceedings. Lecture Notes in Computer Science 12145, Springer 2020, ISBN 978-3-030-53955-9 [contents]
2010 – 2019
- 2019
- [j43]Jie Li, Ying Tan:
A probabilistic finite state machine based strategy for multi-target search using swarm robotics. Appl. Soft Comput. 77: 467-483 (2019) - [j42]Jie Li, Ying Tan:
A two-stage imitation learning framework for the multi-target search problem in swarm robotics. Neurocomputing 334: 249-264 (2019) - [j41]Weidi Xu, Ying Tan:
Semi-supervised target-oriented sentiment classification. Neurocomputing 337: 120-128 (2019) - [j40]Yonggang Chen, Lixiang Li, Xinchao Zhao, Jinghua Xiao, Qingtao Wu, Ying Tan:
Simplified hybrid fireworks algorithm. Knowl. Based Syst. 173: 128-139 (2019) - [j39]Gai-Ge Wang, Ying Tan:
Improving Metaheuristic Algorithms With Information Feedback Models. IEEE Trans. Cybern. 49(2): 542-555 (2019) - [c112]Jun Yu, Hideyuki Takagi, Ying Tan:
Fireworks Algorithm for Multimodal Optimization Using a Distance-based Exclusive Strategy. CEC 2019: 2215-2220 - [c111]Weiwei Hu, Anhong Dang, Ying Tan:
A Survey of State-of-the-Art Short Text Matching Algorithms. DMBD 2019: 211-219 - [c110]Xiangyu Liu, Ying Tan:
Learning Distributed Coordinated Policy in Catching Game with Multi-Agent Reinforcement Learning. IJCNN 2019: 1-7 - [c109]Ying Tan, Bo Shi:
Generative Adversarial Optimization. ICSI (1) 2019: 3-17 - [c108]Yuhao Li, Jun Yu, Hideyuki Takagi, Ying Tan:
Accelerating Fireworks Algorithm with Weight-Based Guiding Sparks. ICSI (1) 2019: 257-266 - [e27]Ying Tan, Yuhui Shi:
Data Mining and Big Data - 4th International Conference, DMBD 2019, Chiang Mai, Thailand, July 26-30, 2019, Proceedings. Communications in Computer and Information Science 1071, Springer 2019, ISBN 978-981-32-9562-9 [contents] - [e26]Ying Tan, Yuhui Shi, Ben Niu:
Advances in Swarm Intelligence - 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26-30, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11655, Springer 2019, ISBN 978-3-030-26368-3 [contents] - [e25]Ying Tan, Yuhui Shi, Ben Niu:
Advances in Swarm Intelligence - 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26-30, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11656, Springer 2019, ISBN 978-3-030-26353-9 [contents] - 2018
- [j38]Junzhi Li, Ying Tan:
The bare bones fireworks algorithm: A minimalist global optimizer. Appl. Soft Comput. 62: 454-462 (2018) - [j37]Ying Tan, Yuhui Shi:
Special Section on Swarm-Based Algorithms and Applications in Computational Biology and Bioinformatics. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1863-1864 (2018) - [j36]Junzhi Li, Ying Tan:
Loser-Out Tournament-Based Fireworks Algorithm for Multimodal Function Optimization. IEEE Trans. Evol. Comput. 22(5): 679-691 (2018) - [c107]Weiwei Hu, Ying Tan:
Black-Box Attacks against RNN Based Malware Detection Algorithms. AAAI Workshops 2018: 245-251 - [c106]Haoran Luo, Weidi Xu, Ying Tan:
A Discrete Fireworks Algorithm for Solving Large-Scale Travel Salesman Problem. CEC 2018: 1-8 - [c105]Weidi Xu, Haoze Sun, Chao Deng, Ying Tan:
TextDream: Conditional Text Generation by Searching in the Semantic Space. CEC 2018: 1-6 - [c104]Xuemei Yet, Junzhi Li, Bo Xu, Ying Tan:
Which Mapping Rule in the Fireworks Algorithm is Better for Large Scale Optimization. CEC 2018: 1-8 - [c103]Xiaolin Zhang, Ying Tan:
Deep Stock Ranker: A LSTM Neural Network Model for Stock Selection. DMBD 2018: 614-623 - [c102]Jun Yu, Ying Tan, Hideyuki Takagi:
Scouting strategy for biasing fireworks algorithm search to promising directions. GECCO (Companion) 2018: 99-100 - [c101]Weidi Xu, Yong Ren, Ying Tan:
Attention Based Dialogue Context Selection Model. ICONIP (2) 2018: 286-295 - [c100]Quanbin Wang, Ying Tan:
Automatic Grammatical Error Correction Based on Edit Operations Information. ICONIP (5) 2018: 494-505 - [c99]Jing Liang, Xiujuan Lei, Ling Guo, Ying Tan:
ACO Based Core-Attachment Method to Detect Protein Complexes in Dynamic PPI Networks. ICSI (1) 2018: 101-112 - [c98]Jun Yu, Hideyuki Takagi, Ying Tan:
Accelerating the Fireworks Algorithm with an Estimated Convergence Point. ICSI (1) 2018: 263-272 - [e24]Ying Tan, Yuhui Shi, Qirong Tang:
Data Mining and Big Data - Third International Conference, DMBD 2018, Shanghai, China, June 17-22, 2018, Proceedings. Lecture Notes in Computer Science 10943, Springer 2018, ISBN 978-3-319-93802-8 [contents] - [e23]Ying Tan, Yuhui Shi, Qirong Tang:
Advances in Swarm Intelligence - 9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10941, Springer 2018, ISBN 978-3-319-93814-1 [contents] - [e22]Ying Tan, Yuhui Shi, Qirong Tang:
Advances in Swarm Intelligence - 9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10942, Springer 2018, ISBN 978-3-319-93817-2 [contents] - 2017
- [j35]Ying Tan, Yuhui Shi, Xin Yao:
Preface. Nat. Comput. 16(1): 1-4 (2017) - [j34]Ying Tan, Yuhui Shi, Xin Yao:
Preface. Nat. Comput. 16(4): 507-509 (2017) - [j33]Ying Tan, Yuhui Shi:
Editorial: Special Section on Bio-Inspired Swarm Computing and Engineering. IEEE ACM Trans. Comput. Biol. Bioinform. 14(1): 1-3 (2017) - [j32]Shaoqiu Zheng, Junzhi Li, Andreas Janecek, Ying Tan:
A Cooperative Framework for Fireworks Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 14(1): 27-41 (2017) - [j31]Junzhi Li, Shaoqiu Zheng, Ying Tan:
The Effect of Information Utilization: Introducing a Novel Guiding Spark in the Fireworks Algorithm. IEEE Trans. Evol. Comput. 21(1): 153-166 (2017) - [c97]Weiwei Hu, Ying Tan:
On the robustness of machine learning based malware detection algorithms. IJCNN 2017: 1435-1441 - [c96]Xiangyu Liu, Ying Tan:
Adaptive Potential Fields Model for Solving Distributed Area Coverage Problem in Swarm Robotics. ICSI (2) 2017: 149-157 - [c95]Xinchao Zhao, Rui Li, Xingquan Zuo, Ying Tan:
Elite-Leading Fireworks Algorithm. ICSI (1) 2017: 493-500 - [c94]Yuchen Zhang, Xiujuan Lei, Ying Tan:
Firefly Clustering Method for Mining Protein Complexes. ICSI (1) 2017: 601-610 - [e21]Ying Tan, Hideyuki Takagi, Yuhui Shi:
Data Mining and Big Data - Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings. Lecture Notes in Computer Science 10387, Springer 2017, ISBN 978-3-319-61844-9 [contents] - [e20]Ying Tan, Hideyuki Takagi, Yuhui Shi:
Advances in Swarm Intelligence - 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10385, Springer 2017, ISBN 978-3-319-61823-4 [contents] - [e19]Ying Tan, Hideyuki Takagi, Yuhui Shi, Ben Niu:
Advances in Swarm Intelligence - 8th International Conference, ICSI 2017, Fukuoka, Japan, July 27 - August 1, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10386, Springer 2017, ISBN 978-3-319-61832-6 [contents] - [i6]Weiwei Hu, Ying Tan:
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN. CoRR abs/1702.05983 (2017) - [i5]Weiwei Hu, Ying Tan:
Black-Box Attacks against RNN based Malware Detection Algorithms. CoRR abs/1705.08131 (2017) - 2016
- [j30]Ying Tan, Ke Ding:
A Survey on GPU-Based Implementation of Swarm Intelligence Algorithms. IEEE Trans. Cybern. 46(9): 2028-2041 (2016) - [j29]Weiwei Hu, Ying Tan:
Prototype Generation Using Multiobjective Particle Swarm Optimization for Nearest Neighbor Classification. IEEE Trans. Cybern. 46(12): 2719-2731 (2016) - [c93]Chao Yu, Lingchen Kelley, Ying Tan:
Cooperative framework fireworks algorithm with covariance mutation. CEC 2016: 1196-1203 - [c92]Junzhi Li, Ying Tan:
Enhancing interaction in the fireworks algorithm by dynamic resource allocation and fitness-based crowdedness-avoiding strategy. CEC 2016: 4015-4021 - [c91]Weiwei Hu, Ying Tan:
Partitioning Based N-Gram Feature Selection for Malware Classification. DMBD 2016: 187-195 - [c90]Guyue Mi, Yang Gao, Ying Tan:
Term Space Partition Based Ensemble Feature Construction for Spam Detection. DMBD 2016: 205-216 - [c89]Haoze Sun, Weidi Xu, Chao Deng, Ying Tan:
Multi-digit image synthesis using recurrent conditional variational autoencoder. IJCNN 2016: 375-380 - [c88]Yuchen Zhang, Xiujuan Lei, Ying Tan:
Detecting Firefly Algorithm for Numerical Optimization. ICSI (1) 2016: 200-210 - [c87]Jie Li, Ying Tan:
Triangle Formation Based Multiple Targets Search Using a Swarm of Robots. ICSI (2) 2016: 544-552 - [e18]Ying Tan, Yuhui Shi:
Data Mining and Big Data, First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings. Lecture Notes in Computer Science 9714, Springer 2016, ISBN 978-3-319-40972-6 [contents] - [e17]Ying Tan, Yuhui Shi, Ben Niu:
Advances in Swarm Intelligence, 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9712, Springer 2016, ISBN 978-3-319-40999-3 [contents] - [e16]Ying Tan, Yuhui Shi, Li Li:
Advances in Swarm Intelligence, 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9713, Springer 2016, ISBN 978-3-319-41008-1 [contents] - [i4]Junzhi Li, Ying Tan:
Information Utilization Ratio in Heuristic Optimization Algorithms. CoRR abs/1604.01643 (2016) - 2015
- [b1]Ying Tan:
Fireworks Algorithm - A Novel Swarm Intelligence Optimization Method. Springer 2015, ISBN 978-3-662-46352-9, pp. 3-299 - [j28]Ying Tan:
Editorial: Special issue on advances in swarm intelligence for neural networks. Neurocomputing 148: 1-2 (2015) - [j27]