[Journal Papers] [Conference Papers]

[144]
H. Shuai, X. Ai, J. Fang, H. He, Z. Chen, and J. Wen, "Dynamic Optimal
Energy Flow in the Integrated Gas and Power Systems Based on Hybrid
ADP/MPC," IEEE Conference on Energy Internet and Energy system
Integration, Beijing, China, November 26 to 28, 2017. [143] B. Tang, P. M. Baggenstoss, and H. He, "Kernelbased Generative Learning in Distortion Feature Space," IEEE Symposium Series on Computational Intelligence (SSCI'17), Honolulu, Hawaii, USA, November 27 to December 1, 2017. [142] Z. Wan, Y. Zhang, and H. He, "Variational Autoencoder Based Synthetic Data Generation for Imbalanced Learning," IEEE Symposium Series on Computational Intelligence (SSCI'17), Honolulu, Hawaii, USA, November 27 to December 1, 2017. [141]
X. Yang and H. He, "DataDriven Robust Regulation of Nonlinear Systems
With Mismatched Disturbances," IEEE Symposium Series on Computational
Intelligence (SSCI'17), Honolulu, Hawaii, USA, November 27 to December 1, 2017. [140] Z. Wang, J. Fan, C. Zheng, and H. He, "SampledDataBased Tracking for Heterogeneous Nonlinear SecondOrder Multiagent Systems," The 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON'17), Beijing, China, October 29  November 1, 2017. [139]
X. Yang, H. Wu, Y. Zhang, and H. He, "Online Energy Flow Control for
Residential Microgrids With URGs: An EventDriven Approach," The 43rd
Annual Conference of the IEEE Industrial Electronics Society
(IECON'17), Beijing, China, October 29  November 1, 2017. [138] Z.
Wang, J. Fan, H. Jiang, and H. He, "Pinning Synchronization in
Heterogeneous Networks of Harmonic Oscillators," 24th International
Conference on Neural Information Processing (ICONIP'17), Guangzhou,
China, November 1418, 2017. [137]
Z. Wan and H. He, "Weakly Supervised Object Localization with Deep
Convolutional Neural Networks based on Spatial Pyramid Saliency Map,"
IEEE International Conference on Image Processing (ICIP'17), Beijing,
China, Sept. 1720, 2017. [136] Y. Tang and H. He, "InterConnected Power System Frequency Stability with Wind Penetration by Using FuzzyGrHDP," Proc. IEEE Power and Energy Society General Meeting (PESGM'17), Chicago, IL, USA, July 16  20, 2017. [135]
L. Zeng, W. Yao, Y. Shen, J. Wen, H. He, and C. Luo, "Damping Control
Design for Pulse Width Modulation Series Compensator Using GrHDP," Proc. IEEE Power and Energy
Society General Meeting (PESGM'17), Chicago, IL, USA, July 16  20, 2017. (1st Place Winner of the IEEE PESGM 2017 Graduate Student Category Poster Competition! ) [134]
C. Luo, J. Yang, Y. Sun, J. Yan and H. He, "Identify Critical Branches
with Cascading Failure Chain Statistics and HypertextInduced Topic Search Algorithm," Proc. IEEE Power and Energy
Society General Meeting (PESGM'17), Chicago, IL, USA, July 16  20, 2017. [133] H. Jiang and H. He, "State Space Reconstruction from Noisy Nonlinear Time Series: An Autoencoderbased Approach, " in Proc. Int. Joint Conf. Neural Networks (IJCNN'17), Anchorage, Alaska, USA, May 1419, 2017. [132] Z. Wan, X. Hu, H. He, and Y. Guo, "A Learning based Approach for Social Force Model Parameter Estimation," in Proc. Int. Joint Conf. Neural Networks (IJCNN'17), Anchorage, Alaska, USA, May 1419, 2017. [130] B. Tang, J. Xu, H. He, and H. Man, "ADL: Active Dictionary Learning for Sparse Representation, " in Proc. Int. Joint Conf. Neural Networks (IJCNN'17), Anchorage, Alaska, USA, May 1419, 2017. [129]
Y. Shen, W. Yao, J. Wen, H. He, and C. Luo, "Resilient WideArea
Damping Control for Interarea Oscillation Considering Communication
Failure," Proc. IEEE Power and Energy
Society General Meeting (PESGM'17), Chicago, IL, USA, July 16  20, 2017. [128]
B. Tang, J. Yan, S. Kay, and H. He, "Detection of False Data Injection
Attacks in Smart Grid under Colored Gaussian Noise," 2016 IEEE
Conference on Communications and Network Security (CNS), Philadelphia,
PA, USA, Oct. 2016 [127]
C. Jiang, Z. Ni, Y. Guo, and H. He, "RobotAssisted Pedestrian
Regulation in an Exit Corridor," 2016 IEEE/RSJ International Conference
on Intelligent Robots and Systems (IROS) Daejeon Convention Center,
Daejeon, Korea, October 914, 2016.
[125] X. Zhong, Z. Ni, and H. He," Convergence Analysis of GrDHPbased Optimal Control for Discretetime Nonlinear System," in Proc. IEEE World Congress on Computational Intelligence (WCCI'16), Vancouver, Canada, Jul 25  29, 2016. [124] J. Yan, B. Tang, and H. He, "Detection of False Data Attacks in Smart Grid with Supervised Learning," in Proc. IEEE World Congress on Computational Intelligence (WCCI'16), Vancouver, Canada, Jul 25  29, 2016. (Best Student Paper Award) [123] L. Dong, C. Sun, and H. He, "Dual Heuristic Dynamic Programming Based EventTriggered Control for Nonlinear," in Proc. IEEE World Congress on Computational Intelligence (WCCI'16), Vancouver, Canada, Jul 25  29, 2016. [122]
B. Tang, C. Jiang, H. He, and Y. Guo, "Probabilistic Human Mobility
Model in Indoor Environment," in Proc. IEEE World Congress on
Computational Intelligence (WCCI'16), Vancouver, Canada, Jul 25  29,
2016. [121] S. Poudel, Z. Ni, X. Zhong, and H.
He, "Comparative Studies of Power Grid Security with Network
Connectivity and Power Flow Information [120] D. Wang, H. He, D. Liu, and C. Li, "SelfLearning Optimal Guaranteed Cost Control of InputAffine ContinuousTime Nonlinear Systems Under Uncertain Environment," in Proc. 12th World Congress on Intelligent Control and Automation (WCICA'16), Guilin, China, June 1215, 2016. [119]
B. Tang and H. He, "FSMJ: Feature Selection with Maximum JensenShannon
Divergence for Text Categorization," in Proc. 12th World Congress on
Intelligent Control and Automation (WCICA'16), Guilin, China, June
1215, 2016. [118] J. Yan, Y. Tang, B. Tang, H. He, and Y. Sun, "Power Grid Resilience Against False Data Injection Attacks," in Proc. IEEE Power and Energy
Society General Meeting (PESGM'16), Boston, MA, USA, July 17  21, 2016. [117]
C. Mu, Y. Tang, and H. He, "Observerbased Sliding Mode Frequency
Control for MicroGrid with Photovoltaic Energy Integration," in Proc. IEEE Power and Energy
Society General Meeting (PESGM'16), Boston, MA, USA, July 17  21, 2016. [116]
C. Li, D. Wang, D. Liu, and H. He, "Policy Iteration for Optimal
Control of Weakly Coupled Nonlinear Systems with Completely Unknown
Dynamics," 2016 American Control Conference (ACC 2016), Boston, USA,
July 68, 2016. [115]
C. Luo, J. Yang, Y. Tang, H. He, and M. Liu, "Chance Constraint Based
RiskAware Optimal Power Flow for Cascading Failure Prevention," in
Proc. IEEE PES Transmission & Distribution Conference &
Exposition (IEEE PES T&D 2016), Dallas, TX, May 25, 2016. [114]
J. Yan, Y. Tang, Y. Zhu, H. He and Y. L. Sun, "Smart Grid Vulnerability
under CascadeBased Sequential LineSwitching Attacks," 2015 IEEE
Global Communications Conference (GLOBECOM), San Diego, CA, USA, Dec.
2015 [112]
B. Tang, Z. Chen, G. Hefferman, T. Wei, H. He, and Q. Yang, "A
Hierarchical Distributed Fog Computing Architecture for Big Data
Analysis in Smart Cities," in ASE International Conference on Big Data,
Kaohsiung, Taiwan, October 79, 2015. [111]
J. Kane, B. Tang, Z. Chen, J. Yan, T. Wei, H. He, and Q. Yang,
"ReflexTree: A Biologically Inspired Parallel Architecture for Future
Smart Cities," The 44th International Conference on Parallel Processing
(ICPP 2015), Beijing, China, September 14, 2015. [110]
Y. Tang, H. He, and C. Mu, "Superconducting Magnetic Energy Storage
Based Power System Control using ADP," in Proc. IEEE International
Conference Applied Superconductivity and Electromagnetic Devices,
Shanghai, China, November 2023, 2015. [109] Z. Ni, X. Zhong, and H. He, "A Boundedness Theoretical Analysis for GrADP Design: A Case Study on Maze Navigation," in Proc. Int. Joint Conf. Neural Networks (IJCNN'15), Killarney, Ireland, July 12  17, 2015. [108] X. Zhong, Z. Ni, and H. He, "EventTriggered Adaptive Dynamic Programming for Continuoustime Nonlinear System Using Measured InputOutput Data," in Proc. Int. Joint Conf. Neural Networks (IJCNN'15), Killarney, Ireland, July 12  17, 2015. [107] L. Dong, X. Zhong, C. Sun, and H. He, "Predictive EventTriggered Control based on Heuristic Dynamic Programming for Nonlinear ContinuousTime Systems," in Proc. Int. Joint Conf. Neural Networks (IJCNN'15), Killarney, Ireland, July 12  17, 2015. [106] J. Graham, J. A. Starzyk, Z. Ni, H. He, T. H. Teng, and A. H. Tan, "A Comparative Study between Motivated Learning and Reinforcement Learning"," in Proc. Int. Joint Conf. Neural Networks (IJCNN'15), Killarney, Ireland, July 12  17, 2015. [105] B. Tang and H. He, "KernelADASYN: Kernel Based Adaptive Synthetic Data
Generation for Imbalanced Learning," in Proc. IEEE Congress on
Evolutionary Computation (IEEE CEC'15), Sendai, Japan, May
25  28, 2015. [104]
Y. Tang, H. He, Z. Ni, J. Wen, "Optimal Operation for Energy Storage
with Wind Power Generation Using Adaptive Dynamic Programmin," in Proc.
IEEE Power and Energy Society General Meeting (IEEE PES General
Meeting'15), Denver, Colorado, 2015. [103]
Y. Zhu, J. Yan, Y. Tang, Y. Sun, H. He, "Diversity of Cascading Failure
Processes in Electrical Grids," in Proc. IEEE PES Conference on
Innovative Smart Grid Technologies (ISGT'15), Washington, DC, Feb
1720, 2015. [102] R. Ma, Z. Liu, J. Liu, W. Yao, J. Wen, and H. He, "Analysis Method on Parameter Identifiability for Excitation System Model of Generator," in Proc. International Conference on Power System Technology (POWERCON 2014), pp. 767  774, Chengdu, Oct. 2022, 2014. [101]
Y. Su, J. Liu, S. Liao, Y. Tang, J. Fang, J. Wen, H. He, "Transient
Overvoltage Control for a Wind Farm Based on Goal representation
Adaptive Dynamic Programming," in Proc. International Conference on
Power System Technology (POWERCON 2014), pp. 705  712, Chengdu, Oct. 2022, 2014. [100] Z. Ni, S. Fu, B. Tang, H. He, and X. Huang, "Experimental Studies on Indoor Sign Recognition and Classification," in Proc. IEEE Symposium on Computational Intelligece and Data Mining (CIDM'14), Orlando, Florida, December 9  12, 2014. [99] Z. Chen, X. Huang, N. Zhen and H. He, "A GPUBased RealTime Traffic Sign Detection and Recognition System," in Proc. IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS'14), Orlando, Florida, December 9  12, 2014. [98] J. Graham, J. Starzyk, Z. Ni and H. He, "Advancing Motivated Learningn with Goal Creation," in Proc. IEEE Symposium on Computational Intelligence for Humanlike Intelligence (CIHLI'14), Orlando, Florida, December 9  12, 2014. [97] X. Zhong, Z Ni, Y Tang and H He, "DataDriven Partially Observable Dynamic Processes Using Adaptive Dynamic Programming," in Proc. IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL'14), Orlando, Florida, December 9  12, 2014. [96] Z. Ni, Y. Tang, H. He and J. Wen, "MultiMachine Power System Control based on Dual Heuristic Dynamic Programming," in Proc. IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG'14), Orlando, Florida, December 9  12, 2014. [95] Y. Tang, X. Zhong, Z. Ni, J. Yan and H. He, "Impact of Signal Transmission Delays on Power System Damping Control Using Heuristic Dynamic Programming," in
Proc. IEEE Symposium on Computational Intelligence Applications in Smart
Grid (CIASG'14), Orlando, Florida, December 9  12, 2014. [94] Y. Tang, J. Yang, J. Yan, Z. Zeng, and H. He, "Frequency Control Using Online Learning Method for Island Smart Grid with EVs and PVs,"in Proc. Int. Joint Conf. Neural Networks (IJCNN'14), Beijing, July 6  11, 2014. [93]
X. Zhong, Z. Ni, H. He, X. Xu, and D. Zhao, "EventTriggered
Reinforcement Learning Approach for Unknown Nonlinear ContinuousTime
System," in Proc. Int. Joint Conf. Neural Networks (IJCNN'14),
Beijing, July 6  11, 2014. [92] J. Fu, H. He, A. Tang, and S. Wei, "Online Learning Control Based on Projected Gradient Temporal Difference and Advanced Heuristic Dynamic Programming," in Proc. Int. Joint Conf. Neural Networks (IJCNN'14),
Beijing, July 6  11, 2014. [90]
Y. Zhu, D. Zhao, H. He, "An HighEfficient Online Reinforcement
Learning Algorithm for ContinuousState Systems," in Proc. World
Congress on Intelligent Control and Automation (WCICA'14), Shenyang,
China, June 29July 4, 2014. [89] Y. Zhu, J. Yan, Y. Tang, Y. Sun, and H. He, "Coordinated Attacks against Substations and Transmission Lines in Power Grids," in Proc. IEEE Global Communications Conference (GLOBECOM'14), Austin, TX, December 2014. [88]
B. Hammer, H. He, and T. Martinetz, "Learning and modelling big data,"
in Proc. European Symposium on Artificial Neural Networks (ESANN),
Bruges (Belgium), April 2325, pp. 343352, 2014. [pdf] [87]Y.
Zhu, J. Yan, Y. Tang, Y. Sun, and H. He, "The Sequential Attack against
Power Grid Networks," in Proc. IEEE Int. Con. Communications (ICC'14),
pp. 616621, Sydney, Australia, June 1014, 2014. [pdf] (Best Paper Award) (Note: ICC'14 received 2,608 submissions from 72 countries) [86]
Z. Chen, J. Wang, H. he, and X. Huang, "A Fast Deep Learning System
Using GPU," in Proc. IEEE Int. Symposium on Circuits and Systems
(ISCAS'14), Melbourne, Australia, June 15, 2014. [85] Y. Tang, H. He, J. Wen, "Optimized Control of DFIG Based Wind Generation Using Swarm Intelligence," in Proc. IEEE Power and Energy Society General Meeting (PESGM'13), Vancouver, Canada, 2013. [84] X. Zhong, H. He, and D. V. Prokhorov, "Robust Controller Design of Continuoustime Nonlinear System Using Neural Network," in Proc. Int. Joint Conf. Neural Networks (IJCNN'13), TX, 2013. [83] B. Tang, S. Fu, Y. Tang, and H. He, "Robust Multiple Objects Tracking: Particle Filter with ePSO," Int. Conf. on Cognitive and Neural Systems (ICCNS'13), Boston, MA, 2013. (Extended Abstract). [82] L. Du, F. Zhang, H. He, H. Huang, "Improving the Performance of a NeuralMachine Interface for Prosthetic Legs Using Adaptive Pattern Classifiers," in Proc. Annual Int. Conf. IEEE Engineering in Medicine and Biology Society (EMBC'13), 2013. [81] Y. Tang, S. Fu, B. Tang, and H. He, ``A Modified PSO based Particle Filter Algorithm for Object Tracking," in Proc. SPIE Defense, Security, and Sensing, Baltimore, 29 April  3 May, 2013. [80] Y. Tang, H. He, and J. Wen, ``Comparative Study Between HDP and PSS on DFIG Damping Control," in Proc. IEEE Symposium on Computational Intelligence Applications in Smart Grid (CIASG'13), IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, April, 2013. [79] Z. Ni, X. Fang, H. He, D. Zhao, and X. Xu, ``RealTime Tracking on Adaptive Critic Design with Uniformly Ultimately Bounded Condition," in Proc. IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL'13), IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, April, 2013. [78] Y. Tang, H. He, and J. Wen, ``Adaptive Control for an HVDC Transmission Link with FACTS and a Wind Farm," in Proc. IEEE Innovative Smart Grid Technologies Conference (ISGT'13), Washington, February, 2013. [77] J. Yan, Y. Zhu, H. He, and Y. Sun, ``Revealing Temporal Features of Attacks against Smart Grid," in Proc. IEEE Innovative Smart Grid Technologies Conference (ISGT'13), Washington, February, 2013. [76] Y. Zhu, J. Yan, Y. Sun, and H. He ``RiskAware Vulnerability Analysis of Electric Grids from Attacker's Perspective," in Proc. IEEE Innovative Smart Grid Technologies Conference (ISGT'13), Washington, February, 2013. [75] H. He, Z. Ni, and D. Zhao, "DataDriven Learning and Control with Multiple Critic Networks," in Proc. World Congress on Intelligent Control and Automation (WCICA'12), Beijing, 2012. [74] D. Zhao, Y. Zhu, and H. He, "Adaptive Dynamic Programming Combined with Fuzzy Controller and Applications," in Proc. World Congress on Intelligent Control and Automation (WCICA'12), Beijing, 2012. [73] D. Zhao, Y. Zhu, and H. He, "Neural and Fuzzy Dynamic Programming for Underactuated Systems," in Proc. IEEE World Congress on Computational Intelligence (IEEE WCCIIJCNN'12), Brisbane, Australia, 2012. [72] J. Xu, Y. Yin, H. Man, and H. He, "Feature Selection Based on Sparse Imputation," in Proc. IEEE World Congress on Computational Intelligence (IEEE WCCIIJCNN'12), Brisbane, Australia, 2012. [71] Z. Ni, H. He, D. Zhao, and D. V. Prokhorov, "Reinforcement Learning Control Based on MultiGoal Representation Using Hierarchical Heuristic Dynamic Programming," in Proc. IEEE World Congress on Computational Intelligence (IEEE WCCIIJCNN'12), Brisbane, Australia, 2012. [70] W. Wang, Y. Sun, and H. He, "Topological Analysis of Cascading Failures in Bay Area Power Grid," in Proc. IEEE Power and Energy Society General Meeting (PESGM'12), San Diego, CA, 2012. [69] J. Fu, H. He, H. Li, and Q. Liu, "A hybrid evolving and gradient strategy for approximating policy evaluation on online criticactor learning," in Proc. Int. Symp. Neural Networks (ISNN'12), Shenyang, China, 2012. [68] J. Wang, H. He, Y. Cao, J. Xu, and D. Zhao, "A Hierarchical Neural Network Architecture for Classification," in Proc. Int. Symp. Neural Networks (ISNN'12), Shenyang, China, 2012. [67] J. Wang, H. He, and D. V. Prokhorovb, "A Folded Neural Network Autoencoder for Dimensionality Reduction," in Proc. International Neural Network Society Winter Conference (INNSWC'12), Bangkok, Thailand, 2012. [66] X. Fang, H. He, Z. Ni, and Y. Tang, "Learning and Control in Virtual Reality for Machine Intelligence," in Proc. Int. Conf. Intelligent Control and Information Processing (ICICIP'12), Dalian, July, 2012. [65] J. Yan, Y. Yang, W. Wang, H. He, and Y. Sun, "An Integrated Visualization Approach for Smart Grid Attacks," in Proc. Int. Conf. Intelligent Control and Information Processing (ICICIP'12), Dalian, July, 2012. [64] X. Fang and H. He, "A Virtual Reality Learning Approach for Intelligent Systems Control and Optimization, Int. Conf. on Cognitive and Neural Systems (ICCNS'12), Boston, MA, 2012. (Extended Abstract) [63] J. Wang and H. He, "A Cascading Neural Network Structure for Pattern Recognition," Int. Conf. on Cognitive and Neural Systems (ICCNS'12), Boston, MA, 2012. (Extended Abstract) [62] Z. Ni, H. He, and D. V. Prokhorov, "Adaptive Learning with Goal Generator Network based on Heuristic Dynamic Programming," Int. Conf. on Cognitive and Neural Systems (ICCNS'12), Boston, MA, 2012.(Extended Abstract) [61] H. He, J. Yan, Y. Yang, and Y. Sun, "Evaluating Complex Network Vulnerability using SelfOrganizing Map," Int. Conf. on Cognitive and Neural Systems (ICCNS'12), Boston, MA, 2012. (Extended Abstract) [60] Y. Tang, H. He, and J. Wen, "Power System Stabilization with High Wind Power Penetration Using Hierarchical ADP Control," Int. Conf. on Cognitive and Neural Systems (ICCNS'12), Boston, MA, 2012. (Extended Abstract) [59] Y. Zhu, Y. Sun, and H. He, "Load Distribution Vector Based Attack Strategies against Power Grid Systems," in Proc. IEEE Global Communications Conference (GLOBECOM'12), Anaheim, California, 2012. [58] W. Wang, Q. Cai, Y. Sun, and H. He, "Riskaware Attacks and Catastrophic Cascading Failures in U.S. Power Grid," in Proc. IEEE Global Communications Conference (GLOBECOM'11), Houston, TX, 2011. [57] H. He, Z. Ni, and D. V. Prokhorov, "ActorCritic Design for OnLine Learning and Optimization for Machine Intelligence," in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'11), 2011. (Extended Abstract) [56] S. Chen, Y. Yin, H. Man, D. V. Prokhorov, and H. He, "Incremental Learning for Object Recognition with Stream Video," in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'11), 2011. (Extended Abstract) [55] Z. Ni, H. He, D. V. Prokhorov, and J. Fu, "An Online ActorCritic Learning Approach with LevenbergMarquardt Algorithm," in Proc. Int. Joint Conf. Neural Networks (IJCNN'11), 2011; [54] Q. Cai, H. He, and H. Man, "Hybrid Learning Based on Multiple SelfOrganizing Maps and Genetic Algorithm," in Proc. Int. Joint Conf. Neural Networks (IJCNN'11), 2011; [53] J. Fu, H. He, Q. Liu, and Z. Ni, "An Adaptive Dynamic Programming Approach for CloselyCoupled MIMO System Control," in Proc. Int. Symp. Neural Networks (ISNN'11), 2011. [52] J. Fu, H. He, and Z. Ni, "Adaptive Dynamic Programming with Balanced Weights Seeking Strategy," IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL'11), IEEE Symposium Series on Computational Intelligence (SSCI), 2011. [51] H. He and Y. Cao, "Kernel Density Estimation with Stream Data Based on SelfOrganizing Map," IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS'11), IEEE Symposium Series on Computational Intelligence (SSCI), 2011. [50] H. He, "Toward a Smart Grid: Integration of Computational Intelligence into Power Grids," in Proc. Int. Joint Conf. Neural Networks (IJCNN'10), 2010; [49] X. Li, H. He, and Y. Yao, "Reinforcement Learning Based Adaptive Rate Control for DelayConstrained Communications over Fading Channels," in Proc. Int. Joint Conf. Neural Networks (IJCNN'10), 2010; [48] S. Chen, H. He, K. Li, S, Desai, "MuSeRA: Multiple Selectively Recursive Approach towards Imbalanced Stream Data Mining," in Prof. Int. Joint Conf. Neural Networks (IJCNN'10), 2010. [47] Q. Cai, S. Chen, X. Li, N. Hu, H. He, Y. Yao and J. Mitola, "An Integrated Incremental Selforganizing Map and Hierarchical Neural Network Approach for Cognitive Radio Learning," in Prof. Int. Joint Conf. Neural Networks (IJCNN'10), 2010. [46] J. Xu, H. He, and H. Man, "DCPE CoTraining: CoTraining Based on Diversity of Class Probability Estimation," in Prof. Int. Joint Conf. Neural Networks (IJCNN'10), 2010. [45] S. Chen, X. Li, Q. Cai, N. Hu, H. He, Y. Yao, and J. Mitola, "Classification and Control of Cognitive Radios Using Hierarchical Neural Network," in Proc. Int. Symp. Neural Networks (ISNN'10), 2010. [44] Q. Cai, H. He, H. Man, and J. Qiu, "IterativeSOMSO: An Iterative Selforganizing Map for Spatial Outlier Detection," in Proc. Int. Symp. Neural Networks (ISNN'10), 2010. [43] H. He, "Learning, Association, and Prediction in Hierarchical Adaptive Dynamic Programming Architecture," in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'10), Boston, 2010. (Extended Abstract) [42] S. Chen, Y. Cao, H. He, J. Fu, and J. Qiu, "Incremental Learning with Nonstationary Imbalanced Data Stream for Machine Intelligence," in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'10), Boston, 2010. (Extended Abstract) [41] H. He and X. Shen, "Multiscale Learning for Complex Systems: Integration of Computational Intelligence into Smart Grid," in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'10), Boston, 2010. (Extended Abstract) [40] Z. Yang, Y. Yao, S. Chen, H. He, and D. Zheng, "MAC Protocol Classification Using Support Vector Machines in a Cognitive Radio Network," in Proc. Wireless and Optical Communications Conf. (WOCC'10), 2010. [39] H. He, S. Chen, H. Man, S. Desai, and S. Quoraishee, "Imbalanced Learning for Pattern Recognition: An Empirical Study," in Proc. SPIE, 2010. [38] H. He and B. Liu, "A Hierarchical Learning Architecture with MultipleGoal Representations based on Adaptive Dynamic Programming," in Proc. IEEE International Conference on Networking, Sensing, and Control (ICNSC'10), 2010. [37] B. Liu, H. He, and D. W. Repperger, "TwoTimeScale Online ActorCritic Paradigm Driven by POMDP," in Proc. IEEE International Conference on Networking, Sensing, and Control (ICNSC'10), 2010. [36] Y. Cao, H. He, H. Man, X. Shen, "Integration of Selforganizing Map (SOM) and Kernel Density Estimation (KDE) for Network Intrusion Detection," in Proc. SPIE, 2009. [35] Y. Yin, H. Man, S. Desai, and H. He, "Multiple Human Detection and Tracking by Using MultipleStage HOG Detector and PFGPDM," in Proc. SPIE, 2009. [34] Y. Yin, H. Man, S. Desai, and H. He, "Multiple Targets Detection and Tracking by using AdaBoost and Particle Filter Gaussian Process Dynamical Model," in Proc. SPIE, 2009. [33] Y. Xu, T. Luo, T. Zhu, and H. He, "The Principles of Intention Computing," in Proc. IEEE Symposium on Web Science (SWS'09), 2009. [32] Q. Cai, H. He, and H. Man, "SOMSO: A SelfOrganizing Map Approach for Spatial Outlier Detection with Multiple Attributes," in Proc. Int. Joint Conf. Neural Networks (IJCNN'09), pp. 425431, 2009. [31] 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. 439445, 2009. [30] 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. [29] S. Chen and H. He, "SERA: Selectively Recursive Approach towards Nonstationary Imbalanced Stream Data Mining," in Proc. Int. Joint Conf. Neural Networks (IJCNN'09), pp. 522529, 2009. [28] Q. Cai, H. He, and Y. Cao, "Learning from Spatial Data: A SelfOrganizing Map Approach for Spatial Outlier Detection," in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'09), Boston, 2009. (Extended Abstract) [27] 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), Boston, 2009. (Extended Abstract) [26] B. Liu, H. He, and S. Chen, "A DualSystem Learning and Control Method for Machine Intelligence," in Proc. Int. Conf. on Cognitive and Neural Systems (ICCNS'09), Boston, 2009. (Extended Abstract) [25] Y. Yin, H. Man, H. He and S. Desai, "Multitarget Tracking in Complex Visual Environment," in Proc. SPIE, vol. 7305, pp. 73050J73050J9, 2009. [24] J. Li, H. He, H. Man, and S. Desai, "A GeneralPurpose FPGAbased Reconfigurable Platform for Video and Image Processing," in Proc. Int. Sym. Neural Networks (ISNN), Lecture Notes in Computer Science (LNCS), vol. 5553, pp. 299309, 2009. [23] 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, # 104465221, Huntsville, AL, October 2426, 2008. [22] 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. 472481, 2008.
[21] H.
He, Y. Bai, E. A. Garcia, and S. Li, "ADASYN: Adaptive Synthetic Sampling
Approach for Imbalanced Learning," in Proc. Int. Joint Conf. Neural
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