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Haibo He

Personal Webpage
Haibo He
Assistant Professor & CPE Graduate Program Director
School:  Schaefer School of Engineering & Science
Department:  Electrical and Computer Engineering
Program:  Computer Engineering

Phone:201.216.8057
Fax:201.216.8246
Email:hhe@stevens.edu

Research & Education
Research
  • Adaptive systems;
  • Bio-inspired intelligent systems;
  • Machine learning;
  • Data mining;
  • Computational intelligence and applications;
  • Hardware systems (VLSI/FPGA) prototyping, design, and testing;

Please visit the Self-Adaptive Intelligent Systems Laboratory (SAIS) for more information.

   
Education
  • Ph. D. , Electrical Engineering, Ohio University, Athens, OH, USA, 2006;
  • M. S. ,  Electrical Engineering, Huazhong University of Science & Technology, Wuhan, China, 2002;
  • B. S. ,  Electrical Engineering, Huazhong University of Science & Technology, Wuhan, China, 1999; 
Selected Publications
Generic

  • J. A. Starzyk, Y. Liu, and H. He. (Sep 20, 2006). Challenges of Embodied Intelligence, Proc. Int. Conf. Signals and Electronic Systems (ICSES). Poland.


    • Books

  • Haibo He. (May 2009). "Advances in Neural Networks", Proceedings of the Sixth International Symposium on Neural Networks, ISNN 2009, W. Yu, H. He, and N. Zhang, (Eds.).


    • Conference Proceedings

  • Y. Cao, H. He, H. Man, X. Shen. (2009). "Integration of Self-organizing Map (SOM) and Kernel Density Estimation (KDE) for Network Intrusion Detection", Proc. SPIE.


  • Y. Yin, H. Man and H. He. (2009). "Multiple Targets Detection and Tracking by using Ada-Boost and Particle Filter Gaussian Process Dynamical Model", Proc. SPIE.


  • Y. Xu, T. Luo, T. Zhu, and H. He. (2009). "The Principles of Intention Computing", Proc. IEEE Symposium on Web Science (SWS'09).


  • Q. Cai, H. He, and H. Man. (2009). "SOMSO: A Self-Organizing Map Approach for Spatial Outlier Detection with Multiple Attributes", Proc. Int. Joint Conf. Neural Networks (IJCNN’09). 425-431.


  • Y. Cao, H. He, and R. Chandramouli. (2009). "A Novel Portfolio Optimization Method for Foreign Currency Investment", Proc. Int. Joint Conf. Neural Networks (IJCNN’09). 439-445.


  • Y. Cao, H. He, and X. Shen. (2009). "DensityRank: A Novel Feature Ranking Method Based on Kernel Estimation", Proc. Int. Joint Conf. Neural Networks (IJCNN’09). 446 - 453.


  • S. Chen and H. He. (2009). "SERA: Selectively Recursive Approach towards Nonstationary Imbalanced Stream Data Mining", Proc. Int. Joint Conf. Neural Networks (IJCNN’09). 522-529.


  • Q. Cai, H. He, and Y. Cao. (2009). "Learning from Spatial Data: A Self-Organizing Map Approach for Spatial Outlier Detection", Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS’09).


  • H. He and S. Chen. (2009). "Adaptive Learning from Data to Knowledge for Natural Intelligence", Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS’09).


  • B. Liu, H. He, and S. Chen. (2009). "A Dual-System Learning and Control Method for Machine Intelligence", Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS’09).


  • Y. Yin, H. Man, H. He and S. Desai. (2009). "Multi-target Tracking in Complex Visual Environment", Proc. SPIE. 7305 73050J-73050J-9.


  • J. Li, H. He, H. Man, and S. Desai. (2009). "A General-Purpose FPGA-based Reconfigurable Platform for Video and Image Processing", Proc. Int. Sym. Neural Networks (ISNN). 5553 299-309.


  • X. Shen, H. He, and Y. Cao. (Oct 24-26, 2008). "Density Estimation Using Pseudo Monte Carlo Method With Applications", Fall Southeastern Meeting, Special session on Applied Probability, # 1044-65-221. American Mathematical Society (AMS). Huntsville, AL.


  • H. He, Y. Cao, J. Wen and S. Chen. (2008). "A Boost Voting Strategy for Knowledge Integration and Decision Making", Lecture Notes in Computer Science (LNCS). 5263 472-481.


  • H. He, Y. Bai, E. A. Garcia, and S. Li. (2008). "ADASYN: Adaptive Synthetic Sampling Approach for Imbalanced Learning", Proc. Int. Joint Conf. Neural Networks (IJCNN’08). 1323-1329.


  • Y. Cao and H. He. (2008). "Learning from Testing Data: A New View of Incremental Semi-supervised Learning", Proc. Int. Joint Conf. Neural Networks (IJCNN’08). 2873 – 2879.


  • H. He, S. Chen, Y. Cao, S. Desai, M. E. Hohil. (2008). "Multi-objects Recognition for Distributed Intelligent Sensor Networks", Proc. SPIE . 6963 69740O-69740O-10.


  • H. He, S. Chen, Y. Cao, and J. A. Starzyk. (2008). "Incremental Learning for Machine Intelligence", Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS’08).


  • W. Yao, J. Wen, H. He, and S. Cheng. (2008). "Modeling and Simulation of VSC-HVDC with Dynamic Phasors", Proc. Int. Conf. on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT’08). 1416-1421.


  • H. He and X. Shen. (Aug 2007). "Bootstrap Methods for Foreign Currency Exchange Rates Prediction", Proc. Int. Joint Conf. Neural Networks (IJCNN'07). 1272-1277.


  • H. He and X. Shen. (Aug 2007). "Adaptive Iterative Learning for Classification based on Feature Selection and Combination Voting", Proc. Int. Joint Conf. Neural Networks (IJCNN'07). 2800-2805.


  • H. He and J. A. Starzyk. (2007). "Online Dynamic Value System for Machine Learning", Proc. Int. Sym. Neural Networks (ISNN). 4491 441-448.


  • J. A. Starzyk, H. He and Y. Li. (2007). "A Hierarchical Self-organizing Associative Memory for Machine Learning", Proc. Int. Sym. Neural Networks (ISNN). 4491 413-423.


  • H. He and X. Shen. (Jun 2007). "A Ranked Subspace Learning Method for Gene Expression Data Classification", Proc. Int. Conf. Artificial Intelligence (ICAI'07). 358 - 364.


  • X. Shen and H. He. (Jun 2007). "A Multiscale Probability Model for Intrusion Detection Systems", Proc. Int. Conf. Machine Learning: Models, Technologies and applications (MLMTA'07). 190-196.


  • X. Shen, H. He and G. G. Walter. (Jun 2007). "A Note On Orthogonality Of The Finite Element Multiwavelets", Proc. Int. Conf. Scientific Computing (CSC'07). 118-124.


  • J. A. Starzyk, M. Ding, and H. He. (Feb 14-16, 2005). "Optimized Interconnections in Probabilistic Self-Organizing Learning", Proc. IASTED Int. Conf. Artificial Intelligence and Applications. Innsbruck, Austria.


  • H. He, J. A. Starzyk and X. Shen. (Mar 26~27, 2004). "Power Quality Disturbances Analysis based on Wavelet Multiresolution Decomposition", American Mathematical Society (AMS) Conference. Athens, Ohio.


  • J. A. Starzyk, Z. Zhu, H. He and Z. Zhu. (Sep 26-30, 2003). "Self-Organizing Learning Array and Its Application to Economic and Financial Problems", Proc. Joint Conf. Information Systems. Cary, North Carolina, USA.


  • Y. Zhang, S. Cheng, H. He, Xiong. L, and J. Nguimbis. (2002). "Modeling of low voltage power network used as high frequency communication channel based on experimental results in china", Proc. IEEE Int. Conf. Power Syst. Tech.. 2 1280 -1284.


  • J. Nguimbis, S. Cheng, Y. Zhang, H. He, and Lan Xiong. (2002). "On the design of a broadband low impedance load mitigating coupling unit for efficiency OFDM signal power transfer maximization through the PLC network", Proc. IEEE Int. Conf. Power Syst. Tech. 2 1316 -1321.


  • H. He and Y. Zhou. (2001). "Research and Application of Low Voltage Powerline Communication", Proc. CUS-EPSA. (in Chinese). G89-G94.


  • X. Jiang and H. He. (1999). "The design of real-time power quality supervisor software", Proc. CUS-EPSA. (in Chinese) . 553－557.


    • Journals

  • B. Liu, H. He, and S. Chen. (2009). "Adaptive Dual Network Design for a Class of SIMO Systems with Nonlinear Time-variant Uncertainties", Acta Automatic Sinca.


  • H. He and E. A. Garcia. (2009). "Learning from Imbalanced Data", IEEE Trans. Knowledge and Data Engineering, 21 (9), 1263-1284.


  • H. He, X. Shen, and J. A. Starzyk. (2009). "Power Quality Disturbances Analysis Based on EDMRA Method", International Journal of Electrical Power & Energy Systems, 31 (6), 258-268.


  • J. A. Starzyk and H. He. (2009). "Spatio-Temporal Memories for Machine Learning: A Long-Term Memory Organization", IEEE Trans. Neural Networks, 20 (5), 768-780.


  • H. He and S. Chen. (2008). "IMORL: Incremental Multiple Objects Recognition and Localization", IEEE Trans. Neural Networks, 19 (10), 1727-178.


  • J. A. Starzyk and H. He. (2007). "Anticipation-Based Temporal Sequences Learning in Hierarchical Structure", IEEE Trans. Neural Networks, 18 344 - 358.


  • J. A. Starzyk and H. He. (2007). "A Novel Low Power Logic Circuit Design Scheme", IEEE Trans. Circuits Syst. II, 54 176 - 180.


  • Z. Zhu, H. He, J. A. Starzyk, C. Tseng. (2007). "Self-Organizing Learning Array and its Application to Economic and Financial Problems", Information Science, 177 1180 - 1192.


  • H. He and J. A. Starzyk. (Jan 2006). "A Self Organizing Learning Array System for Power Quality Classification based on Wavelet Transform", IEEE Trans. on Power Delivery, 21 286-295.


  • H. He, S. Cheng, Y. Zhang, and J. Nguimbis. (Jul 2005). "Home Network Power Line Communication Signal Processing Based on Wavelet Packet Analysis", IEEE Trans. on Power Delivery, 20 1879-1885.


  • H. He, S. Cheng, Y. Zhang, and J. Nguimbis. (Jan 2004). "Analysis of Reflection of Signal Transmitted In Low Voltage Powerline with Complex Wavelet", IEEE Trans. on Power Delivery, 19 86-91.


  • X. Jiang, J. Nguimbis, S. Cheng, and H. He. (May 2003). "A Novel Scheme for Low Voltage Powerline Communication Signal Processing", Int. J. Elect. Power Energy Syst., 25 269-274.


  • H. He, Y. Zhang, and S. Cheng. (2002). "Signal Reflection Analysis for Low Voltage Powerline Communication", Proc. Chin. Soc. Elect. Eng., 22 (6), 11-15.


  • H. He and X. Jiang. (2001). "A Novel Scheme for Low Voltage Power Line Communication Signal Processing", Proc. Chin. Soc. Elect. Eng., 21 (7), 66-71.


  • H. He, Y. Zhou, and X. Wu. (2001). "The State of Research and Application of Low Voltage Powerline Communication", Relay, 29 (7), 12-16.


  • Y. Zhang, H. He, and X. Wu. (2002). "Modeling of The Channel for Low Voltage Power Line Carrier Communication", Relay, 30 (5), 20-24.


  • X. Jiang, J. Wen, and H. He. (2000). "The study and realization of real-time power quality supervisory software", Relay, 28 (3), 33-36.


  • Y. Zhang, S. Cheng, H. He, X. Lan, J. Nguimbis. (2002). "Modeling of The Low Voltage Powerline Used as High Frequency Communication Channel Based on the Experimental Results", Auto. Elect. Power Syst., 26 (23), 62-66.


  • H. He and E. A. Garcia. (2009). "Learning from Imbalanced Data", IEEE Trans. Knowledge and Data Engineering, 21 (9), 1263-1284.


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