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Biography
Dr.Haibo He

Prof. Haibo He

University of Rhode Island, USA


Email: he@ele.uri.edu


Qualifications:

2006  Ph.D., hio University, USA

2002  M. S., Huazhong Univ. of Sci. & Tech., China

1999  B. S., Huazhong Univ. of Sci. & Tech., China


Publications (selected)


  1. S. Chen, H. He, and E. A. Garcia, \RAMOBoost: Ranked Minority Over-sampling in Boosting," IEEE Trans. Neural Networks, 2010. (in press).
  2. B. Liu, H. He, and S. Chen, \Adaptive Dual Network Design for a Class of SIMO Systems with Nonlinear Time-variant Uncertainties," Acta Automatic Sinca, 2009 (in press).
  3. R. Machado, H. He, G. Wang, and S. Tekinay, \Redundancy Estimation and Adaptive Density Control in Wireless Sensor Networks," Journal of Ad Hoc and Sensor Wireless Networks, 2009 (in press).
  4. H. He and E. A. Garcia, \Learning from Imbalanced Data," IEEE Trans. Knowledge and Data Engineering, vol. 21, issue 9, pp. 1263-1284, 2009.
  5. H. He, X. Shen, and J. A. Starzyk, \Power Quality Disturbances Analysis Based on EDMRA Method," Int. Journal of Electrical Power &Energy Systems, vol. 31, issue 6, pp. 258-268, 2009.
  6. J. A. Starzyk and H. He, \Spatio-Temporal Memories for Machine Learning: A Long-Term Memory Organization," IEEE Trans. Neural Networks, vol. 20, no. 5, pp. 768-780, 2009.
  7. H. He and S. Chen, \IMORL: Incremental Multiple Objects Recognition and Localization," IEEE Trans. Neural Networks, vol. 19, no. 10, pp. 1727-178, 2008.
  8. J. A. Starzyk and H. He, \Anticipation-Based Temporal Sequences Learning in Hierarchical Structure," IEEE Trans. Neural Networks, vol. 18, pp. 344 - 358, 2007.
  9. J. A. Starzyk and H. He, \A Novel Low Power Logic Circuit Design Scheme," IEEE Trans. Circuits Syst. II, vol. 54, pp. 176 - 180, 2007.
  10. Z. Zhu, H. He, J. A. Starzyk, and C. Tseng. \Self-Organizing Learning Array and its Application to Economic and Financial Problems," Information Science, vol. 177, pp. 1180 - 1192, 2007.
  11. H. He and J. A. Starzyk, \A Self Organizing Learning Array System for Power Quality Classi_cation based on Wavelet Transform," IEEE Trans. On Power Delivery, vol.21, pp. 286-295, 2006.
  12. H. He, S. Cheng, Y. Zhang, and J. Nguimbis, \Home Network Power Line Communication Signal Processing Based on Wavelet Packet Analysis," IEEE Trans. on Power Delivery, vol. 20, pp. 1879-1885, 2005.
  13. H. He, S. Cheng, Y. Zhang, and J. Nguimbis, \Analysis of Reection of Signal Transmitted In Low Voltage Powerline with Complex Wavelet," IEEE Trans. on Power Delivery, vol. 19, pp. 86-91, 2004.
  14. X. Jiang, J. Nguimbis, S. Cheng, and H. He, \A Novel Scheme for Low Voltage Powerline Communication Signal Processing," Int. J. Elect. Power Energy Syst., vol. 25, pp. 269-274, 2003.
  15. H. He, Y. Zhang, and S. Cheng, \Signal Reection Analysis for Low Voltage Powerline Communication," Proc. Chin. Soc. Elect. Eng., vol. 22, No. 6, pp.11-15, 2002. (in Chinese)
  16. H. He and X. Jiang, \A Novel Scheme for Low Voltage Pwer Line Communication Signal Processing," Proc. Chin. Soc. Elect. Eng., vol. 21, No.7, pp. 66-71, 2001. (in Chinese)
  17. H. He, Y. Zhou, and X. Wu, \The State of Research and Application of Low Voltage Powerline Communication," Relay, vol. 29, No.7, pp.12-16, 2001. (in Chinese)
  18. Y. Zhang, H. He, and X. Wu, \Modeling of The Channel for Low Voltage Power Line Carrier Communication," Relay, Vol. 30, No. 5, pp.20-24, 2002. (in Chinese)
  19. X. Jiang, J. Wen, and H. He, \The study and realization of real-time power quality supervisory software," Relay, Vol. 28, No.3, pp. 33-36, 2000. (in Chinese)
  20. [Y. Zhang, S. Cheng, H. He, X. Lan, and J. Nguimbis, \Modeling of The Low Voltage Powerline Used as High Frequency Communication Channel Based on the Experimental Results," Auto. Elect. Power Syst., vol. 26, no. 23, pp.62-66, 2002. (in Chinese).
  21. B. Liu, H. He, and D. W. Repperger, "Two-Time-Scale Online Actor-Critic Paradigm Driven by POMDP," in Proc. IEEE Int. Conf. Networking, Sensing and Control (ICNSC'10), pp. 243-248, Chicago, April, 2010.
  22. X. Li, H. He, Y. D. Yao, \Reinforcement Learning Based Adaptive Rate Control for Delay-Constrained Communications over Fading Channels," in Proc. IEEE Int. Joint Conf. Neural Networks (IJCNN'10), Barcelona, Spain, 2010. (in press)
  23. H. He and B. Liu, \A Hierarchical Learning Architecture with Multiple-Goal Representations based on Adaptive Dynamic Programming," in Proc. IEEE Int. Conf. Networking, Sensing and Control (ICNSC'10), pp. 286 - 291, Chicago, April, 2010.
  24. H. He and X. Shen, \Multi-scale Learning for Complex Systems: Integration of Computational Intelligence into Smart Grid," in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'10), Boston, May 2010.
  25. H. He, \Toward a Smart Grid: Integration of Computational Intelligence into Power Grids," in Proc. IEEE Int. Joint. Conf. Neural Networks (IJCNN'10), Spain, July 2010. (in press)
  26. Y. Cao, H. He, H. Man, and X. Shen, \Integration of Self-organizing Map (SOM) and Kernel Density Estimation (KDE) for Network Intrusion Detection," in Proc. SPIE, 2009 (in press)
  27. Y. Yin, H. Man, and H. He, \Multiple Targets Detection and Tracking by using Ada-Boost and Particle Filter Gaussian Process Dynamical Model," in Proc. SPIE, 2009 (in press)
  28. Y. Xu, T. Luo, T. Zhu, and H. He, \The Principles of Intention Computing," in Proc. IEEE Symposium on Web Science (SWS'09), 2009 (in press).
  29. Q. Cai, H. He, and H. Man, \SOMSO: A Self-Organizing Map Approach for Spatial Outlier Detection with Multiple Attributes," in Proc. Int. Joint Conf. Neural Networks (IJCNN'09), pp. 425-431, 2009.
  30. Y. Cao, H. He, and R. Chandramouli, \A Novel Portfolio Optimization Method for Foreign Currency Investment," in Proc. Int. Joint Conf. Neural Networks (IJCNN'09), pp. 439-445, 2009.
  31. Y. Cao, H. He, and X. Shen, \DensityRank: A Novel Feature Ranking Method Based on Kernel Estimation," in Proc. Int. Joint Conf. Neural Networks (IJCNN'09), pp. 446 - 453, 2009.
  32. S. Chen and H. He, \SERA: Selectively Recursive Approach towards Non-stationary Imbalanced Stream Data Mining," in Proc. Int. Joint Conf. Neural Networks (IJCNN'09), pp. 522-529, 2009.
  33. Q. Cai, H. He, and Y. Cao, \Learning from Spatial Data: A Self-Organizing Map Approach for Spatial Outlier Detection," in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'09), 2009.
  34. H. He and S. Chen, \Adaptive Learning from Data to Knowledge for Natural Intelligence," in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'09), 2009.
  35. B. Liu, H. He, and S. Chen, \A Dual-System Learning and Control Method for Machine Intelligence," in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'09), 2009.
  36. Y. Yin, H. Man, H. He, and S. Desai, \Multi-target Tracking in Complex Visual Environment," in Proc. SPIE, vol. 7305, pp. 73050J-73050J-9, 2009.
  37. J. Li, H. He, H. Man, and S. Desai, \A General-Purpose FPGA-based Reconfigurable Platform for Video and Image Processing," in Proc. Int. Sym. Neural Networks (ISNN), Lecture Notes in Computer Science (LNCS), vol. 5553, pp. 299-309, 2009.
  38. X. Shen, H. He, and Y. Cao, \Density Estimation Using Pseudo Monte Carlo Method With Applications," American Mathematical Society (AMS), Fall Southeastern Meeting, Special session on Applied Probability, #1044-65-221, Huntsville, AL, October 24-26, 2008.
  39. H. He, Y. Cao, J. Wen, and S. Chen, \A Boost Voting Strategy for Knowledge Integration and Decision Making," Lecture Notes in Computer Science (LNCS), vol. 5263, pp. 472-481, 2008.
  40. H. He, Y. Bai, E. A. Garcia, and S. Li, \ADASYN: Adaptive Synthetic Sampling Approach for Imbalanced Learning," in Proc. Int. Joint Conf. Neural Networks (IJCNN'08), pp. 1323-1329, 2008.
  41. Y. Cao and H. He, \Learning from Testing Data: A New View of Incremental Semi-supervised Learning," in Proc. Int. Joint Conf. Neural Networks (IJCNN'08), pp. 2873 - 2879, 2008.
  42. H. He, Y. Cao, S. Chen, S. Desai, and M. E. Hohil, \Dynamic Adaptive Learning for Decision-making Supporting Systems," in Proc. SPIE, vol. 6974, pp. 69740O-69740O-10, 2008.
  43. H. He, S. Chen, Y. Cao, S. Desai, and M. E. Hohil, \Multi-objects Recognition for Distributed Intelligent Sensor Networks," in Proc. SPIE, vol. 6963, pp. 69630R-69630R-10, 2008.
  44. H. He, S. Chen, Y. Cao, and J. A. Starzyk, \Incremental Learning for Machine Intelligence" in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'08), 2008.
  45. W. Yao, J. Wen, H. He, and S. Cheng, \Modeling and Simulation of VSC-HVDC with Dynamic Phasors," in Proc. Int. Conf. on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT'08), pp. 1416-1421, 2008.
  46. H. He and X. Shen, \Bootstrap Methods for Foreign Currency Exchange Rates Prediction," in Proc. Int. Joint Conf. Neural Networks (IJCNN'07), pp. 1272-1277, August, 2007.
  47. H. He and X. Shen, \Adaptive Iterative Learning for Classification based on Feature Selection and Combination Voting," in Proc. Int. Joint Conf. Neural Networks (IJCNN'07), pp. 2800-2805, August, 2007.
  48. H. He and J. A. Starzyk, \Online Dynamic Value System for Machine Learning," in Proc. Int. Sym. Neural Networks (ISNN), Lecture Notes in Computer Science (LNCS), vol. 4491, pp. 441-448, 2007.
  49. J. A. Starzyk, H. He, and Y. Li, \A Hierarchical Self-organizing Associative Memory for Machine Learning," in Proc. Int. Sym. Neural Networks (ISNN), Lecture Notes in Computer Science (LNCS), vol. 4491, pp. 413-423, 2007.
  50. H. He and X. Shen, \A Ranked Subspace Learning Method for Gene Expression Data Classi_cation," in Proc. Int. Conf. Arti_cial Intelligence (ICAI'07), pp. 358 - 364, June 2007.
  51. X. Shen and H. He, \A Multiscale Probability Model for Intrusion Detection Systems," in Proc. Int. Conf. Machine Learning: Models, Technologies and applications (MLMTA'07), pp. 190-196, June 2007.
  52. X. Shen, H. He, and G. G. Walter, \A Note On Orthogonality Of The Finite Element Multiwavelets," in Proc. Int. Conf. Scienti_c Computing (CSC'07), pp. 118-124, June 2007.
  53. J. A. Starzyk, M. Ding, and H. He, \Optimized Interconnections in Probabilistic Self-Organizing Learning," in Proc. IASTED Int. Conf. Artificial Intelligence and Applications, Innsbruck, Austria, Feb. 14-16, 2005.
  54. H. He, J. A. Starzyk, and X. Shen, \Power Quality Disturbances Analysis based on Wavelet Multiresolution Decomposition," American Mathematical Society (AMS) Conference, Abstract number: 995-42-205, Athens, Ohio, March 26 27, 2004
  55. J. A. Starzyk, Z. Zhu, H. He and Z. Zhu, \Self-Organizing Learning Array and Its Application to Economic and Financial Problems," in Proc. Joint Conf. Information Systems, North Carolina, USA, Sept. 26-30, 2003.
  56. Y. Zhang, S. Cheng, H. He, L. Xiong, and J. Nguimbis, \Modeling of low voltage power network used as high frequency communication channel based on experimental results in china," in Proc. IEEE Int. Conf. Power Syst. Tech., Vol. 2, pp.1280 -1284, 2002.
  57. J. Nguimbis, S. Cheng, Y. Zhang, H. He, and L. Xiong, \On the design of a broadband low impedance load mitigating coupling unit for e_ciency OFDM signal power transfer maximization through the PLC network," in Proc. IEEE Int. Conf. Power Syst. Tech., Vol. 2, pp. 1316 -1321, 2002.
  58. H. He and Y. Zhou, \Research and Application of Low Voltage Powerline Communication," in Proc. CUS-EPSA, pp. G89-G94, 2001. (in Chinese)
  59. X. Jiang and H. He, \The design of real-time power quality supervisor software," in Proc. CUS-EPSA, pp. 553-557, 1999. (in Chinese)
  60. Advances in Neural Networks, Proceedings of the Sixth International Symposium on Neural Networks (ISNN 2009), W. Yu, H. He, and N. Zhang, (Eds.), Lecture Notes in Computer Science, vol. 5551, Part I, ISBN: 978-3-642-01506-9 (Part I), Springer, May 2009.
  61. Advances in Neural Networks, Proceedings of the Sixth International Symposium on Neural Networks (ISNN 2009), W. Yu, H. He, and N. Zhang, (Eds.), Lecture Notes in Computer Science, vol. 5552, Part II, 978-3-642-01509-0, Springer, May 2009.
  62. Advances in Neural Networks, Proceedings of the Sixth International Symposium on Neural Networks (ISNN 2009), W. Yu, H. He, and N. Zhang, (Eds.), Lecture Notes in Computer Science, vol. 5553, Part III, 978-3-642-01512-0, Springer, May 2009.


Profile Details

http://www.ele.uri.edu/faculty/he/main.html