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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
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— 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
- 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]Pengtao Zhang, Ying Tan:
Immune cooperation mechanism based learning framework. Neurocomputing 148: 158-166 (2015) - [j26]Ke Ding, Ying Tan:
Attract-Repulse Fireworks Algorithm and its CUDA Implementation Using Dynamic Parallelism. Int. J. Swarm Intell. Res. 6(2): 1-31 (2015) - [j25]Yan Pei, Shaoqiu Zheng, Ying Tan, Hideyuki Takagi:
Effectiveness of approximation strategy in surrogate-assisted fireworks algorithm. Int. J. Mach. Learn. Cybern. 6(5): 795-810 (2015) - [c86]Pengtao Zhang, Ying Tan:
Hybrid concentration based feature extraction approach for malware detection. CCECE 2015: 140-145 - [c85]Shaoqiu Zheng, Chao Yu, Junzhi Li, Ying Tan:
Exponentially decreased dimension number strategy based dynamic search fireworks algorithm for solving CEC2015 competition problems. CEC 2015: 1083-1090 - [c84]Chao Yu, Lingchen Kelley, Ying Tan:
Dynamic search fireworks algorithm with covariance mutation for solving the CEC 2015 learning based competition problems. CEC 2015: 1106-1112 - [c83]Ke Ding, Yanyang Chen, Yanbin Wang, Ying Tan:
Regional seismic waveform inversion using swarm intelligence algorithms. CEC 2015: 1235-1241 - [c82]Chao Yu, Ying Tan:
Fireworks algorithm with covariance mutation. CEC 2015: 1250-1256 - [c81]Lang Liu, Shaoqiu Zheng, Ying Tan:
S-metric based multi-objective fireworks algorithm. CEC 2015: 1257-1264 - [c80]Junzhi Li, Ying Tan:
Orienting mutation based fireworks algorithm. CEC 2015: 1265-1271 - [c79]Yang Gao, Guyue Mi, Ying Tan:
Variable length concentration based feature construction method for spam detection. IJCNN 2015: 1-7 - [c78]Guyue Mi, Yang Gao, Ying Tan:
Apply Stacked Auto-Encoder to Spam Detection. ICSI (2) 2015: 3-15 - [e15]Ying Tan, Yuhui Shi, Fernando Buarque de Lima Neto, Alexander F. Gelbukh, Swagatam Das, Andries P. Engelbrecht:
Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part I. Lecture Notes in Computer Science 9140, Springer 2015, ISBN 978-3-319-20465-9 [contents] - [e14]Ying Tan, Yuhui Shi, Fernando Buarque de Lima Neto, Alexander F. Gelbukh, Swagatam Das, Andries P. Engelbrecht:
Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9141, Springer 2015, ISBN 978-3-319-20471-0 [contents] - [e13]Ying Tan, Yuhui Shi, Fernando Buarque de Lima Neto, Alexander F. Gelbukh, Swagatam Das, Andries P. Engelbrecht:
Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015, held in conjunction with the Second BRICS Congress, CCI 2015, Beijing, China, June 25-28, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9142, Springer 2015, ISBN 978-3-319-20468-0 [contents] - [i3]Ying Tan, Junzhi Li, Zhongyang Zheng:
Introduction and Ranking Results of the ICSI 2014 Competition on Single Objective Optimization. CoRR abs/1501.02128 (2015) - [i2]Shaoqiu Zheng, Junzhi Li, Andreas Janecek, Ying Tan:
A Cooperative Framework for Fireworks Algorithm. CoRR abs/1505.00075 (2015) - 2014
- [c77]Zhongyang Zheng, Junzhi Li, Jie Li, Ying Tan:
Avoiding decoys in multiple targets searching problems using swarm robotics. IEEE Congress on Evolutionary Computation 2014: 784-791 - [c76]Ke Ding, Ying Tan:
Comparison of random number generators in Particle Swarm Optimization algorithm. IEEE Congress on Evolutionary Computation 2014: 2664-2671 - [c75]Jianhua Liu, Shaoqiu Zheng, Ying Tan:
Analysis on global convergence and time complexity of fireworks algorithm. IEEE Congress on Evolutionary Computation 2014: 3207-3213 - [c74]Junzhi Li, Shaoqiu Zheng, Ying Tan:
Adaptive Fireworks Algorithm. IEEE Congress on Evolutionary Computation 2014: 3214-3221 - [c73]Shaoqiu Zheng, Andreas Janecek, Junzhi Li, Ying Tan:
Dynamic search in fireworks algorithm. IEEE Congress on Evolutionary Computation 2014: 3222-3229 - [c72]Chao Yu, Lingchen Kelley, Shaoqiu Zheng, Ying Tan:
Fireworks algorithm with differential mutation for solving the CEC 2014 competition problems. IEEE Congress on Evolutionary Computation 2014: 3238-3245 - [c71]Ke Ding, Ying Tan:
cuROB: A GPU-Based Test Suit for Real-Parameter Optimization. ICSI (2) 2014: 66-78 - [c70]Xiujuan Lei, Mingyu Du, Jin Xu, Ying Tan:
Chaotic Fruit Fly Optimization Algorithm. ICSI (1) 2014: 74-85 - [c69]Yang Gao, Guyue Mi, Ying Tan:
An Adaptive Concentration Selection Model for Spam Detection. ICSI (1) 2014: 223-233 - [c68]Shaoqiu Zheng, Lang Liu, Chao Yu, Junzhi Li, Ying Tan:
Fireworks Algorithm and Its Variants for Solving ICSI2014 Competition Problems. ICSI (2) 2014: 442-451 - [c67]Jie Zhao, Xiujuan Lei, Zhenqiang Wu, Ying Tan:
Clustering Using Improved Cuckoo Search Algorithm. ICSI (1) 2014: 479-488 - [c66]Xiang Yang, Ying Tan:
Sample Index Based Encoding for Clustering Using Evolutionary Computation. ICSI (1) 2014: 489-498 - [c65]Jie Li, Ying Tan:
The multi-target search problem with environmental restrictions in swarm robotics. ROBIO 2014: 2685-2690 - [c64]Zhongyang Zheng, Jie Li, Junzhi Li, Ying Tan:
Improved group explosion strategy for searching multiple targets using swarm robotics. SMC 2014: 246-251 - [c63]Chao Yu, Junzhi Li, Ying Tan:
Improve enhanced fireworks algorithm with differential mutation. SMC 2014: 264-269 - [e12]Ying Tan, Yuhui Shi, Carlos A. Coello Coello:
Advances in Swarm Intelligence - 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8794, Springer 2014, ISBN 978-3-319-11856-7 [contents] - [e11]Ying Tan, Yuhui Shi, Carlos A. Coello Coello:
Advances in Swarm Intelligence - 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part II. Lecture Notes in Computer Science 8795, Springer 2014, ISBN 978-3-319-11896-3 [contents] - [i1]Ke Ding, Ying Tan:
A CUDA-Based Real Parameter Optimization Benchmark. CoRR abs/1407.7737 (2014) - 2013
- [j24]Ying Tan, Chao Yu, Shaoqiu Zheng, Ke Ding:
Introduction to Fireworks Algorithm. Int. J. Swarm Intell. Res. 4(4): 39-70 (2013) - [j23]Fuchun Sun, Ying Tan, Huaping Liu:
Special issue on prediction, control and diagnosis using advanced neural computations. Inf. Sci. 237: 1-2 (2013) - [j22]Suicheng Gu, Ying Tan, Xingui He:
Recentness biased learning for time series forecasting. Inf. Sci. 237: 29-38 (2013) - [j21]Jun Wang, Ying Tan:
Efficient Euclidean distance transform algorithm of binary images in arbitrary dimensions. Pattern Recognit. 46(1): 230-242 (2013) - [c62]Zhongyang Zheng, Ying Tan:
Group explosion strategy for searching multiple targets using swarm robotic. IEEE Congress on Evolutionary Computation 2013: 821-828 - [c61]Shaoqiu Zheng, Andreas Janecek, Ying Tan:
Enhanced Fireworks Algorithm. IEEE Congress on Evolutionary Computation 2013: 2069-2077 - [c60]Ke Ding, Shaoqiu Zheng, Ying Tan:
A GPU-based parallel fireworks algorithm for optimization. GECCO 2013: 9-16 - [c59]Zhichao Zhang, Shaoqiu Zheng, Weiping Li, Ying Tan, Zhonghai Wu, Wei Tan:
Genetic Algorithm for Context-Aware Service Composition Based on Context Space Model. ICWS 2013: 605-606 - [c58]Guyue Mi, Pengtao Zhang, Ying Tan:
Feature construction approach for email categorization based on term space partition. IJCNN 2013: 1-8 - [c57]Guyue Mi, Pengtao Zhang, Ying Tan:
A multi-resolution-concentration based feature construction approach for spam filtering. IJCNN 2013: 1-8 - [c56]Ying Tan, Guyue Mi, Yuanchun Zhu, Chao Deng:
Artificial immune system based methods for spam filtering. ISCAS 2013: 2484-2488 - [c55]Zhichao Zhang, Shaoqiu Zheng, Weiping Li, Ying Tan, Zhonghai Wu, Wei Tan:
Leveraging Genetic Algorithm to Compose Web Services in a Context-Aware Environment. SMC 2013: 829-834 - [c54]Jianhua Liu, Shaoqiu Zheng, Ying Tan:
The Improvement on Controlling Exploration and Exploitation of Firework Algorithm. ICSI (1) 2013: 11-23 - [c53]Zhongyang Zheng, Ying Tan:
An Indexed K-D Tree for Neighborhood Generation in Swarm Robotics Simulation. ICSI (2) 2013: 53-62 - [c52]Wenrui He, Guyue Mi, Ying Tan:
Parameter Optimization of Local-Concentration Model for Spam Detection by Using Fireworks Algorithm. ICSI (1) 2013: 439-450 - [e10]Ying Tan, Yuhui Shi, Hongwei Mo:
Advances in Swarm Intelligence, 4th International Conference, ICSI 2013, Harbin, China, June 12-15, 2013, Proceedings, Part I. Lecture Notes in Computer Science 7928, Springer 2013, ISBN 978-3-642-38702-9 [contents] - [e9]Ying Tan, Yuhui Shi, Hongwei Mo:
Advances in Swarm Intelligence, 4th International Conference, ICSI 2013, Harbin, China, June 12-15, 2013, Proceedings, Part II. Lecture Notes in Computer Science 7929, Springer 2013, ISBN 978-3-642-38714-2 [contents] - 2012
- [c51]Yuanchun Zhu, Guyue Mi, Ying Tan:
Query based hybrid learning models for adaptively adjusting locality. IJCNN 2012: 1-8 - [c50]Yan Pei, Shaoqiu Zheng, Ying Tan, Hideyuki Takagi:
An empirical study on influence of approximation approaches on enhancing fireworks algorithm. SMC 2012: 1322-1327 - [c49]Xi Huang, Ying Tan, Xingui He:
A Classifier Based on Minimum Circum Circle. ICSI (2) 2012: 74-83 - [c48]Jun Wang, Ying Tan:
Hausdorff Distance with k-Nearest Neighbors. ICSI (2) 2012: 272-281 - [c47]Pengtao Zhang, Ying Tan:
A Danger Feature Based Negative Selection Algorithm. ICSI (1) 2012: 291-299 - [e8]Ying Tan, Yuhui Shi, Zhen Ji:
Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Shenzhen, China, June 17-20, 2012 Proceedings, Part I. Lecture Notes in Computer Science 7331, Springer 2012, ISBN 978-3-642-30975-5 [contents] - [e7]Ying Tan, Yuhui Shi, Zhen Ji:
Advances in Swarm Intelligence - Third International Conference, ICSI 2012, Shenzhen, China, June 17-20, 2012 Proceedings, Part II. Lecture Notes in Computer Science 7332, Springer 2012, ISBN 978-3-642-31019-5 [contents] - 2011
- [j20]Junqi Zhang, Lina Ni, Chen Xie, Ying Tan, Zheng Tang:
AMT-PSO: An Adaptive Magnification Transformation Based Particle Swarm Optimizer. IEICE Trans. Inf. Syst. 94-D(4): 786-797 (2011) - [j19]Andreas Janecek, Ying Tan:
Swarm Intelligence for Non-Negative Matrix Factorization. Int. J. Swarm Intell. Res. 2(4): 12-34 (2011) - [j18]Wei Wang, Pengtao Zhang, Ying Tan, Xingui He:
Animmune local concentration based virus detection approach. J. Zhejiang Univ. Sci. C 12(6): 443-454 (2011) - [j17]Y. Zhu, Ying Tan:
A Local-Concentration-Based Feature Extraction Approach for Spam Filtering. IEEE Trans. Inf. Forensics Secur. 6(2): 486-497 (2011) - [j16]Xi Huang, Ying Tan, Xingui He:
An Intelligent Multifeature Statistical Approach for the Discrimination of Driving Conditions of a Hybrid Electric Vehicle. IEEE Trans. Intell. Transp. Syst. 12(2): 453-465 (2011) - [c46]Yichen Wu, Yuchun Fang, Ying Tan:
Fuzzy Cyclic Random Mapping for Face Recognition Based on MD-RiuLBP Feature. CCBR 2011: 50-57 - [c45]Jun Wang, Ying Tan:
Efficient Euclidean distance transform using perpendicular bisector segmentation. CVPR 2011: 1625-1632 - [c44]Jun Wang, Ying Tan:
Morphological image enhancement procedure design by using genetic programming. GECCO 2011: 1435-1442 - [c43]Andreas Janecek, Ying Tan:
Iterative improvement of the Multiplicative Update NMF algorithm using nature-inspired optimization. ICNC 2011: 1668-1672 - [c42]Kebin Wang, Ying Tan:
A New Collaborative Filtering Recommendation Approach Based on Naive Bayesian Method. ICSI (2) 2011: 218-227 - [c41]Andreas Janecek, Ying Tan:
Using Population Based Algorithms for Initializing Nonnegative Matrix Factorization. ICSI (2) 2011: 307-316 - [c40]Yuanchun Zhu, Ying Tan:
A Danger Theory Inspired Learning Model and Its Application to Spam Detection. ICSI (1) 2011: 382-389 - [c39]Jun Wang, Ying Tan:
A Novel Genetic Programming Algorithm for Designing Morphological Image Analysis Method. ICSI (1) 2011: 549-558 - [c38]Andreas Janecek, Ying Tan:
Feeding the Fish - Weight Update Strategies for the Fish School Search Algorithm. ICSI (2) 2011: 553-562 - [e6]Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wang:
Advances in Swarm Intelligence - Second International Conference, ICSI 2011, Chongqing, China, June 12-15, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6728, Springer 2011, ISBN 978-3-642-21514-8 [contents] - [e5]Ying Tan, Yuhui Shi, Yi Chai, Guoyin Wang:
Advances in Swarm Intelligence - Second International Conference, ICSI 2011, Chongqing, China, June 12-15, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6729, Springer 2011, ISBN 978-3-642-21523-0 [contents] - 2010
- [j15]Suicheng Gu, Ying Tan, Xingui He:
Laplacian smoothing transform for face recognition. Sci. China Inf. Sci. 53(12): 2415-2428 (2010) - [j14]Pengtao Zhang, Wei Wang, Ying Tan:
A malware detection model based on a negative selection algorithm with penalty factor. Sci. China Inf. Sci. 53(12): 2461-2471 (2010) - [j13]Junqi Zhang, Ying Tan, Lina Ni, Chen Xie, Zheng Tang:
Hybrid Uniform Distribution of Particle Swarm Optimizer. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(10): 1782-1791 (2010) - [j12]Suicheng Gu, Ying Tan, Xingui He:
Discriminant analysis via support vectors. Neurocomputing 73(10-12): 1669-1675 (2010) - [j11]Ying Tan:
Particle Swarm Optimization Algorithms Inspired by Immunity-Clonal Mechanism and Their Applications to Spam Detection. Int. J. Swarm Intell. Res. 1(1): 64-86 (2010) - [j10]Fuchun Sun, Ying Tan, Cong Wang:
Special issue on pattern recognition and information processing using neural networks. Soft Comput. 14(2): 101-102 (2010) - [j9]Guangchen Ruan, Ying Tan:
A three-layer back-propagation neural network for spam detection using artificial immune concentration. Soft Comput. 14(2): 139-150 (2010) - [c37]Yuanchun Zhu, Ying Tan:
Extracting discriminative information from e-mail for spam detection inspired by Immune System. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c36]You Zhou, Ying Tan:
Particle swarm optimization with triggered mutation and its implementation based on GPU. GECCO 2010: 1-8 - [c35]Jun Wang, Ying Tan:
A novel genetic programming based morphological image analysis algorithm. GECCO 2010: 979-980 - [c34]Kun Liu, Ying Tan, Xingui He:
Particle Swarm Optimization Based Learning Method for Process Neural Networks. ISNN (1) 2010: 280-287 - [c33]Kun Liu, Ying Tan, Xingui He:
An Adaptive Staged PSO Based on Particles' Search Capabilities. ICSI (1) 2010: 52-59 - [c32]Junqi Zhang, Kun Liu, Ying Tan:
KNOB Particle Swarm Optimizer. ICSI (1) 2010: 78-85 - [c31]Wei Wang, Pengtao Zhang, Ying Tan:
An Immune Concentration Based Virus Detection Approach Using Particle Swarm Optimization. ICSI (1) 2010: 347-354 - [c30]Ying Tan, Yuanchun Zhu:
Fireworks Algorithm for Optimization. ICSI (1) 2010: 355-364 - [c29]Xi Huang, Ying Tan, Xingui He:
A Torque Control Strategy with Charge Buffer for Parallel Hybrid Electric Vehicle. VTC Fall 2010: 1-5 - [e4]Ying Tan, Yuhui Shi, Kay Chen Tan:
Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6145, Springer 2010, ISBN 978-3-642-13494-4 [contents] - [e3]Ying Tan, Yuhui Shi, Kay Chen Tan:
Advances in Swarm Intelligence, First International Conference, ICSI 2010, Beijing, China, June 12-15, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6146, Springer 2010, ISBN 978-3-642-13497-5 [contents]
2000 – 2009
- 2009
- [c28]You Zhou, Ying Tan:
GPU-based parallel particle swarm optimization. IEEE Congress on Evolutionary Computation 2009: 1493-1500 - [c27]Wei Wang, Pengtao Zhang, Ying Tan, Xingui He:
A Hierarchical Artificial Immune Model for Virus Detection. CIS (1) 2009: 1-5 - [c26]Rui Chao, Ying Tan:
A Virus Detection System Based on Artificial Immune System. CIS (1) 2009: 6-10 - [c25]Xi Huang, Ying Tan, Xingui He:
An intelligent multi-feature statistical approach for discrimination of driving conditions of hybrid electric vehicle. IJCNN 2009: 1286-1293 - [c24]Ying Tan, Chao Deng, Guangchen Ruan:
Concentration based feature construction approach for spam detection. IJCNN 2009: 3088-3093 - [c23]Suicheng Gu, Ying Tan, Xingui He:
Orthogonal Quadratic Discriminant Functions for Face Recognition. ISNN (3) 2009: 466-475 - [c22]Junqi Zhang, Ying Tan, Xingui He:
Concentric spatial extension based particle swarm optimization inspired by brood sorting in ant colonies. SIS 2009: 9-15 - [p1]Ying Tan, Junqi Zhang:
Magnifier Particle Swarm Optimization. Nature-Inspired Algorithms for Optimisation 2009: 279-298 - 2008
- [c21]Junqi Zhang, Zhongmin Xiao, Ying Tan, Xingui He:
Hybrid particle swarm optimizer with advance and retreat strategy and clonal mechanism for global numerical optimization. IEEE Congress on Evolutionary Computation 2008: 2059-2066 - [c20]Jian Yang, Xi Huang, Ying Tan, Xingui He:
Forecast of driving load of hybrid electric vehicles by using discrete cosine transform and Support Vector Machine. IJCNN 2008: 2227-2234 - [e2]Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao, Wen Yu:
Advances in Neural Networks - ISNN 2008, 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I. Lecture Notes in Computer Science 5263, Springer 2008, ISBN 978-3-540-87731-8 [contents] - [e1]Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao, Wen Yu:
Advances in Neural Networks - ISNN 2008, 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part II. Lecture Notes in Computer Science 5264, Springer 2008, ISBN 978-3-540-87733-2 [contents] - 2007
- [c19]Ying Tan, Z. M. Xiao:
Clonal particle swarm optimization and its applications. IEEE Congress on Evolutionary Computation 2007: 2303-2309 - [c18]Wenjiang Zhou, Yin Xu, Lunwen Wang, Ling Zhang, Ying Tan:
A Modified Constructive Neural Networks and Its Application for Large-scale Data Mining. ICNC (1) 2007: 24-28 - [c17]Guangchen Ruan, Ying Tan:
Intelligent Detection Approaches for Spam. ICNC (3) 2007: 672-676 - [c16]Ying Tan:
Neural-Based Separating Method for Nonlinear Mixtures. ISNN (3) 2007: 705-714 - 2006
- [c15]Lunwen Wang, Yanhua Wu, Ying Tan, Ling Zhang:
A Modified Constructive Fuzzy Neural Networks for Classification of Large-Scale and Complicated Data. ISNN (2) 2006: 14-19 - [c14]Ying Tan:
Multiple-Point Bit Mutation Method of Detector Generation for SNSD Model. ISNN (2) 2006: 340-345 - [c13]Wenjian Luo, Xin Wang, Ying Tan, Xufa Wang:
A Novel Negative Selection Algorithm with an Array of Partial Matching Lengths for Each Detector. PPSN 2006: 112-121 - 2005
- [c12]Wenjian Luo, Xin Wang, Ying Tan, Yiguo Zhang, Xufa Wang:
An Adaptive Self-tolerant Algorithm for Hardware Immune System. ICES 2005: 1-11 - [c11]Min Zhang, Ying Tan:
Efficient Time Series Matching Based on HMTS Algorithm. ICNC (2) 2005: 476-482 - [c10]Fuhua Fan, Ying Tan:
A Fast Searching Algorithm of Symmetrical Period Modulation Pattern Based on Accumulative Transformation Technique. ICNC (2) 2005: 493-500 - [c9]Lunwen Wang, Ying Tan, Ling Zhang:
A Granular Analysis Method in Signal Processing. ICNC (2) 2005: 501-507 - [c8]Ying Tan, Zhenhe Guo:
Algorithms of Non-self Detector by Negative Selection Principle in Artificial Immune System. ICNC (2) 2005: 867-875 - [c7]Lunwen Wang, Ying Tan, Ling Zhang:
Constructive Fuzzy Neural Networks and Its Application. ISNN (1) 2005: 440-445 - [c6]Ying Tan:
A Unified Framework for Synthesis of Cosine-Modulated Filter Banks and Corresponding Wavelets. ISNN (2) 2005: 574-579 - 2004
- [j8]Ying Tan, Jun Wang:
A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension. IEEE Trans. Knowl. Data Eng. 16(4): 385-395 (2004) - [c5]Zhenhe Guo, Zhengkai Liu, Ying Tan:
An NN-Based Malicious Executables Detection Algorithm Based on Immune Principles. ISNN (2) 2004: 675-680 - 2002
- [j7]Ying Tan:
A Neural Network Approach for Signal Detection in Digital Communications. J. VLSI Signal Process. 32(1-2): 45-54 (2002) - 2001
- [j6]Ying Tan, Jun Wang:
Nonlinear blind source separation using higher order statistics and a genetic algorithm. IEEE Trans. Evol. Comput. 5(6): 600-612 (2001) - [j5]Ying Tan, Jun Wang, Jacek M. Zurada:
Nonlinear blind source separation using a radial basis function network. IEEE Trans. Neural Networks 12(1): 124-134 (2001) - [c4]Ying Tan, Jun Wang:
Nonlinear blind source separation using a genetic algorithm. CEC 2001: 859-866 - 2000
- [j4]Ying Tan, Chao Deng:
Solving for a quadratic programming with a quadratic constraint based on a neural network frame. Neurocomputing 30(1-4): 117-128 (2000) - [c3]Ying Tan, Youshen Xia, Jun Wang:
Neural Network Realization of Support Vector Methods for Pattern Classification. IJCNN (6) 2000: 411-418 - [c2]Ying Tan, Jun Wang:
Nonlinear blind separation using an RBF network model. ISCAS 2000: 634-637
1990 – 1999
- 1998
- [j3]Ying Tan, Zhenya He:
An efficient design method of cosine-modulated QMF banks satisfying PR property. Int. J. Circuit Theory Appl. 26(5): 539-546 (1998) - [j2]Ying Tan, Zhenya He:
Arbitrary FIR Filter Synthesis Using a Neural Network. Neural Process. Lett. 8(1): 9-13 (1998) - [j1]Ying Tan, Xi-Qi Gao, Zhenya He:
Neural networks design approach for cosine-modulated FIR filter banks and compactly supported wavelets with almost PR property. Signal Process. 69(1): 29-48 (1998) - 1996
- [c1]Ying Tan, Zhenya He:
Linear phase paraunitary cosine modulated filter bank design formula. ICECS 1996: 534-537
Coauthor Index
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