| 2012 | ||
|---|---|---|
| 50 | Haibo He, Zhen Ni, Jian Fu: A three-network architecture for on-line learning and optimization based on adaptive dynamic programming. Neurocomputing 78(1): 3-13 (2012) | |
| 49 | Jin Xu, Haibo He, Hong Man: DCPE co-training for classification. Neurocomputing 86: 75-85 (2012) | |
| 2011 | ||
| 48 | Derong Liu, Huaguang Zhang, Marios M. Polycarpou, Cesare Alippi, Haibo He: Advances in Neural Networks - ISNN 2011 - 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29-June 1, 2011, Proceedings, Part I Springer 2011 | |
| 47 | Derong Liu, Huaguang Zhang, Marios M. Polycarpou, Cesare Alippi, Haibo He: Advances in Neural Networks - ISNN 2011 - 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29-June 1, 2011, Proceedings, Part II Springer 2011 | |
| 46 | Derong Liu, Huaguang Zhang, Marios M. Polycarpou, Cesare Alippi, Haibo He: Advances in Neural Networks - ISNN 2011 - 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29-June 1, 2011, Proceedings, Part III Springer 2011 | |
| 45 | Wenkai Wang, Qiao Cai, Yan Sun, Haibo He: Risk-Aware Attacks and Catastrophic Cascading Failures in U.S. Power Grid. GLOBECOM 2011: 1-6 | |
| 44 | Qiao Cai, Haibo He, Hong Man: Hybrid learning based on Multiple Self-Organizing Maps and Genetic Algorithm. IJCNN 2011: 2313-2320 | |
| 43 | Zhen Ni, Haibo He, Danil V. Prokhorov, Jian Fu: An online actor-critic learning approach with Levenberg-Marquardt algorithm. IJCNN 2011: 2333-2340 | |
| 42 | Jian Fu, Haibo He, Qing Liu, Zhen Ni: An Adaptive Dynamic Programming Approach for Closely-Coupled MIMO System Control. ISNN (3) 2011: 1-10 | |
| 41 | Haibo He, Sheng Chen, Kang Li, Xin Xu: Incremental Learning From Stream Data. IEEE Transactions on Neural Networks 22(12): 1901-1914 (2011) | |
| 40 | Haibo He, Ping Li, Hongwei Wang: Advances in Knowledge Discovery and Data Analysis for Artificial Intelligence. J. Exp. Theor. Artif. Intell. 23(1): 1-3 (2011) | |
| 39 | Yuan Cao, Haibo He, He (Helen) Huang: LIFT: A new framework of learning from testing data for face recognition. Neurocomputing 74(6): 916-929 (2011) | |
| 2010 | ||
| 38 | Bo Liu, Haibo He, Daniel W. Repperger: Two-time-scale online actor-critic paradigm driven by POMDP. ICNSC 2010: 243-248 | |
| 37 | Haibo He, Bo Liu: A hierarchical learning architecture with multiple-goal representations based on adaptive dynamic programming. ICNSC 2010: 286-291 | |
| 36 | Qiao Cai, Sheng Chen, Xiaochen Li, Nansai Hu, Haibo He, Yu-Dong Yao, Joseph Mitola III: An integrated incremental self-organizing map and hierarchical neural network approach for cognitive radio learning. IJCNN 2010: 1-6 | |
| 35 | Haibo He: Toward a Smart Grid: Integration of computational intelligence into Power Grid. IJCNN 2010: 1-6 | |
| 34 | Jin Xu, Haibo He, Hong Man: DCPE co-training: Co-training based on diversity of class probability estimation. IJCNN 2010: 1-7 | |
| 33 | Xiaochen Li, Haibo He, Yu-Dong Yao: Reinforcement learning based adaptive rate control for delay-constrained communications over fading channels. IJCNN 2010: 1-7 | |
| 32 | Sheng Chen, Haibo He, Kang Li, Sachi Desai: MuSeRA: Multiple Selectively Recursive Approach towards imbalanced stream data mining. IJCNN 2010: 1-8 | |
| 31 | Qiao Cai, Haibo He, Hong Man, Jianlong Qiu: IterativeSOMSO: An Iterative Self-organizing Map for Spatial Outlier Detection. ISNN (1) 2010: 325-330 | |
| 30 | Renita Machado, Haibo He, Guiling Wang, Sirin Tekinay: Redundancy Estimation and Adaptive Density Control in Wireless Sensor Networks. Ad Hoc & Sensor Wireless Networks 10(2-3): 153-176 (2010) | |
| 29 | Zhigang Zeng, Haibo He: Special Issue Editorial: Advances in Computational Intelligence and Applications. Cognitive Computation 2(4): 255-256 (2010) | |
| 28 | Kang Li, Jing Deng, Haibo He, Dajun Du: Compact Extreme Learning Machines for biological systems. I. J. Computational Biology and Drug Design 3(2): 112-132 (2010) | |
| 27 | Sheng Chen, Haibo He, Edwardo A. Garcia: RAMOBoost: ranked minority oversampling in boosting. IEEE Transactions on Neural Networks 21(10): 1624-1642 (2010) | |
| 2009 | ||
| 26 | Wen Yu, Haibo He, Nian Zhang: Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part I Springer 2009 | |
| 25 | Wen Yu, Haibo He, Nian Zhang: Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part II Springer 2009 | |
| 24 | Wen Yu, Haibo He, Nian Zhang: Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part III Springer 2009 | |
| 23 | Qiao Cai, Haibo He, Hong Man: SOMSO: A self-organizing map approach for spatial outlier detection with multiple attributes. IJCNN 2009: 425-431 | |
| 22 | Yuan Cao, Haibo He, Rajarathnam Chandramouli: A novel portfolio optimization method for foreign currency investment. IJCNN 2009: 439-445 | |
| 21 | Yuan Cao, Haibo He, Xiaoping Shen: DensityRank: A novel feature ranking method based on kernel estimation. IJCNN 2009: 446-453 | |
| 20 | Sheng Chen, Haibo He: SERA: Selectively recursive approach towards nonstationary imbalanced stream data mining. IJCNN 2009: 522-529 | |
| 19 | Jie Li, Haibo He, Hong Man, Sachi Desai: A General-Purpose FPGA-Based Reconfigurable Platform for Video and Image Processing. ISNN (3) 2009: 299-309 | |
| 18 | Haibo He, Edwardo A. Garcia: Learning from Imbalanced Data. IEEE Trans. Knowl. Data Eng. 21(9): 1263-1284 (2009) | |
| 17 | Janusz A. Starzyk, Haibo He: Spatio-Temporal Memories for Machine Learning: A Long-Term Memory Organization. IEEE Transactions on Neural Networks 20(5): 768-780 (2009) | |
| 2008 | ||
| 16 | Haibo He, Yang Bai, Edwardo A. Garcia, Shutao Li: ADASYN: Adaptive synthetic sampling approach for imbalanced learning. IJCNN 2008: 1322-1328 | |
| 15 | Yuan Cao, Haibo He: Learning from testing data: A new view of incremental semi-supervised learning. IJCNN 2008: 2872-2878 | |
| 14 | Haibo He, Yuan Cao, Jinyu Wen, Shijie Cheng: A Boost Voting Strategy for Knowledge Integration and Decision Making. ISNN (1) 2008: 472-481 | |
| 13 | Sunan Huang, Haibo He, Kang Li: Special issue on life system modeling and bio-inspired computing for LSMS 2007. Applied Mathematics and Computation 205(1): 3-5 (2008) | |
| 12 | Haibo He, Sheng Chen: IMORL: Incremental Multiple-Object Recognition and Localization. IEEE Transactions on Neural Networks 19(10): 1727-1738 (2008) | |
| 11 | Zeng-Guang Hou, Marios M. Polycarpou, Haibo He: Editorial to Special Issue: Neural networks for pattern recognition and data mining. Soft Comput. 12(7): 613-614 (2008) | |
| 2007 | ||
| 10 | Xiaoping Shen, Haibo He, Gilbert G. Walter: A Note on Orthogonality of The Finite Element Multiwavelets. CSC 2007: 118-126 | |
| 9 | Haibo He, Xiaoping Shen: A Ranked Subspace Learning Method for Gene Expression Data Classification. IC-AI 2007: 358-364 | |
| 8 | Haibo He, Xiaoping Shen: Bootstrap Methods for Foreign Currency Exchange Rates Prediction. IJCNN 2007: 1272-1277 | |
| 7 | Haibo He, Xiaoping Shen: Adaptive Iterative Learning for Classification based on Feature Selection and Combination Voting. IJCNN 2007: 2800-2805 | |
| 6 | Janusz A. Starzyk, Haibo He, Yue Li: A Hierarchical Self-organizing Associative Memory for Machine Learning. ISNN (1) 2007: 413-423 | |
| 5 | Haibo He, Janusz A. Starzyk: Online Dynamic Value System for Machine Learning. ISNN (1) 2007: 441-448 | |
| 4 | Xiaoping Shen, Haibo He: A Multiscale Probability Model for Intrusion Detection Systems. MLMTA 2007: 190-198 | |
| 3 | Janusz A. Starzyk, Haibo He: Anticipation-Based Temporal Sequences Learning in Hierarchical Structure. IEEE Transactions on Neural Networks 18(2): 344-358 (2007) | |
| 2 | Zhineng Zhu, Haibo He, Janusz A. Starzyk, C. Tseng: Self-organizing learning array and its application to economic and financial problems. Inf. Sci. 177(5): 1180-1192 (2007) | |
| 2005 | ||
| 1 | Janusz A. Starzyk, Mingwei Ding, Haibo He: Optimized Interconnections in Probabilistic Self-Organizing Learning. Artificial Intelligence and Applications 2005: 479-484 | |
Colors in the list of coauthors
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