| * | 2009 |
| 21 | EE | 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 |
| 20 | EE | 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 |
| 19 | EE | 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 |
| 18 | EE | 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 |
| 17 | EE | Haibo He,
Edwardo A. Garcia:
Learning from Imbalanced Data.
IEEE Trans. Knowl. Data Eng. 21(9): 1263-1284 (2009) |
| 2008 |
| 16 | EE | Haibo He,
Yang Bai,
Edwardo A. Garcia,
Shutao Li:
ADASYN: Adaptive synthetic sampling approach for imbalanced learning.
IJCNN 2008: 1322-1328 |
| 15 | EE | Yuan Cao,
Haibo He:
Learning from testing data: A new view of incremental semi-supervised learning.
IJCNN 2008: 2872-2878 |
| 14 | EE | Haibo He,
Yuan Cao,
Jinyu Wen,
Shijie Cheng:
A Boost Voting Strategy for Knowledge Integration and Decision Making.
ISNN (1) 2008: 472-481 |
| 13 | EE | 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 | EE | Haibo He,
Sheng Chen:
IMORL: Incremental Multiple-Object Recognition and Localization.
IEEE Transactions on Neural Networks 19(10): 1727-1738 (2008) |
| 11 | EE | 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 | EE | Haibo He,
Xiaoping Shen:
Bootstrap Methods for Foreign Currency Exchange Rates Prediction.
IJCNN 2007: 1272-1277 |
| 7 | EE | Haibo He,
Xiaoping Shen:
Adaptive Iterative Learning for Classification based on Feature Selection and Combination Voting.
IJCNN 2007: 2800-2805 |
| 6 | EE | Janusz A. Starzyk,
Haibo He,
Yue Li:
A Hierarchical Self-organizing Associative Memory for Machine Learning.
ISNN (1) 2007: 413-423 |
| 5 | EE | 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 | EE | Janusz A. Starzyk,
Haibo He:
Anticipation-Based Temporal Sequences Learning in Hierarchical Structure.
IEEE Transactions on Neural Networks 18(2): 344-358 (2007) |
| 2 | EE | 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 |