[Book/Edited Books] [Journal Papers] [Conference Papers]
Book/Edited Books/Book Chapters




Refereed Journal Papers 

[149]
P. Zeng, H. Li, H. He, S. Li, "Dynamic Energy Management of a Microgrid
using Approximate Dynamic Programming and Deep Recurrent Neural Network
Learning,"IEEE Trans. on Smart Grid, 2018 (in press). [148] X. Yang, Y. Zhang, H. He, S. Ren, and G. Weng, "Realtime Demand Side Management for a Microgrid Considering Uncertainties," IEEE Trans. on Smart Grid, 2018 (in press). [147]
X. Yang and H. He, "Adaptive Critic Designs for EventTriggered
Robust Control of Nonlinear Systems with Unknown Dynamics," IEEE Trans.
on Cybernetics, 2018 (in press) [146]
X. Zhong and H. He, "GrHDP Solution for Optimal Consensus Control of
MultiAgent DiscreteTime Systems," IEEE Transactions on Systems, Man
and Cybernetics: Systems, 2018 (in press). [145]
X. Yang, H. He, and Q. Wei, "An Adaptive Critic Approach to
Eventtriggered Robust Control of Nonlinear Systems with Unmatched
Uncertainties," International Journal of Robust and Nonlinear Control,
2018 (in press). [144]
X. Ning, W. Li, B. Tang, and H. He, "BULDP: Biomimetic Uncorrelated
Locality Discriminant Projection for Feature Extraction in Face
Recognition," IEEE Trans. on Image Processing, 2018 (in press). [143]
Y. Shen, W. Yao, J. Wen, H. He, and L. Jiang, "Resilient WideArea
Damping Control Using GrHDP to Tolerate Communication Failures," IEEE
Trans. on Smart Grid, 2018 (in press). [142] S. Li, L. Li, J. Yan, and H. He, "SDE:
A Novel Clustering Framework Based on SparsityDensity Entropy," IEEE
Trans. on Knowledge and Data Engineering, 2018 (in press). [141] C. Yuan, H. He, and C. Wang, "Cooperative Deterministic LearningBased Formation Control for A Group of Nonlinear Uncertain Mechanical Systems,"IEEE Transactions on Industrial Informatics, 2018 (in press). [140] H. Shuai, J. Fang, X. Ai, Y. Tang, J. Wen, and H. He, "Stochastic
Optimization of Economic Dispatch for Microgrid Based on Approximate
Dynamic Programming," IEEE Trans. on Smart Grid, 2018 (in press) [139]
H. Jiang and H. He, "DataDriven Distributed Output Consensus Control
for Partially Observable MultiAgent Systems," IEEE Trans. on
Cybernetics, 2018 (in press) [138]
H. Su, Y. Ye, X. Chen, and H. He, "A Geometric Approach to Secondorder
Consensus of Heterogeneous Multiagent Systems," IEEE Trans. on
Cybernetics, 2018 (in press) [137]
J. Yi, J. Bai, W. Zhou, H. He, and L. Yao, "Operating Parameters
Optimization for the Aluminum Electrolysis Process Using an Improved
Quantumbehaved Particle Swarm Algorithm," IEEE Transactions on
Industrial Informatics, 2017 (in press) [136]
X. Yang, H. He, and X. Zhong, "Adaptive Dynamic Programming for Robust
Regulation and Its Application to Power Systems," IEEE Trans. on
Industrial Electronics, 2017 (in process). [135]
X. Yang and H. He, "Selflearning robust optimal control for
continuoustime nonlinear systems with mismatched disturbances," Neural
Networks, vol. 99, pp. 19  30, 2018. [134] X. Chen, M. Shi, H. Sun, Y. Li, and H. He, "Distributed Cooperative Control and Stability Analysis of Multiple DC Electric Springs in DC Microgrid,"IEEE Trans. on Industrial Electronics, 2017 (in process). [133]
X. Yang, H. He, and D. Liu, "EventTriggered Optimal NeuroController
Design with Reinforcement Learning for Unknown Nonlinear Systems," IEEE
Transactions on Systems, Man, and Cybernetics: Systems, 2017 (in
press). [132]
D. Wang, H. He, and D. Liu, "Intelligent Optimal ControlWith Critic
Learning for a Nonlinear Overhead Crane System," IEEE Trans. on
Industrial Informatics, 2017 (in press). [131]
C. Yuan and H. He, "Cooperative Output Regulation of Heterogeneous
MultiAgent Systems with A Leader of Bounded Inputs," IET Control
Theory & Applications, vol. 12, issue 2, pp. 233  242, 2018. [130]
C. Mu and H. He, "Dynamic Behavior of Terminal Sliding Mode Control,"
IEEE Trans. on Industrial Electronics, vol. 65, issue 4, pp. 3480  3490, 2018. [129]
G. Jiang, P. Xie, H. He, and J. Yan, "Wind Turbine Fault Detection
Using Denoising Autoencoder with Temporal Information," IEEE/ASME
Transactions on Mechatronics (TMECH), 2017 (in press) [128] C. Yuan, S. Licht, and H. He, "Formation Learning Control of Multiple Autonomous Underwater Vehicles with Heterogeneous Nonlinear Uncertain Dynamics,"IEEE Trans. on Cybernetics, 2017 (in press) [128]
C. Mu, D. Wang, and H. He, "DataDriven FiniteHorizon Approximate
Optimal Control for DiscreteTime Nonlinear Systems Using Iterative HDP
Approach," IEEE Trans. on Cybernetics, 2017 (in press) [127] C. Jiang, Z. Ni, Y. Guo, and H. He, "Learning HumanRobot Interaction for RobotAssisted Pedestrian Flow Optimization, " IEEE Transactions on Systems, Man and Cybernetics: Systems, 2017 (in press). [126] D. Wang, H. He, and D. Liu, "Adaptive Critic Nonlinear Robust Control: A Survey," IEEE Trans. on Cybernetics, vol. 47, issue 10, pp. 3429  3451, 2017. (Survey Paper) [125]
X. Hu, L. Chen, B. Tang, D. Cao, and H. He, "Dynamic Path Planning for
Autonomous Driving on Various Roads with Avoidance of Static and Moving
Obstacles," Mechanical Systems and Signal Processing, vol. 100, pp. 481  500, 2018. [124]
Y. Shen, W. Yao, J. Wen, H. He, and W. Chen, "Adaptive Supplementary
Damping Control of VSCHVDC for Interarea Oscillation Using GrHDP,"
IEEE Transactions on Power Systems, 2017, (in press). [123]
C. Yang, H. He, T. Huang, A. Zhang, J. Qiu, J. Cao, and X. Li,
"Consensus for nonlinear multiagent systems modeled by PDEs based on
spatial boundary communication," IET Control Theory & Applications,
vol. 11, issue 17, pp. 3196  3200, 2017. [122] Z.
Huang, X. Xu, H. He, J. Tan, and Z. Sun, "Parameterized Batch
Reinforcement Learning for Longitudinal Control of Autonomous Land
Vehicles, " IEEE Transactions on Systems, Man and Cybernetics: Systems,
2017 (in press). [121] X. Zhong, H. He, D. Wang, and Z. Ni, "ModelFree Adaptive Control for Unknown Nonlinear ZeroSum Differential Game," IEEE Trans. on Cybernetics, 2017 (in press) [120]
X. Yang, H. He, D. Liu, Y. Zhu, "Adaptive dynamic programming for
robust neural control of unknown continuoustime nonlinear systems,"
IET Control Theory & Applications, vol. 11, issue 14, pp. 2307 2316, 2017. [119] B. Tang and H. He, "GIRbased Ensemble Sampling Approaches for Imbalanced Learning," Pattern Recognition, vol. 71, pp. 306  319, 2017. [118]
Y. Shen, W. Yao, J. Wen, and H. He, "Adaptive Widearea Power
Oscillation Damper Design for Photovoltaic Plant Considering Delay
Compensation," IET Generation, Transmission & Distribution, vol. 11, issue 18, pp. 4511  4519, 2017. [117]
D. Wang, H. He, X. Zhong, and D. Liu, "EventDriven Nonlinear
Discounted Optimal Regulation Involving A Power System Application,"
IEEE Trans. on Industrial Electronics, vol. 64, issue 10, pp. 8177 
8186, 2017. [116]
Z. Wan, H. He, and B. Tang, "A Generative Model for Sparse
Hyperparameter Determination," IEEE Trans. on Big Data, 2017 (in press). [115] C. Mu, Y. Tang, and H. He, "Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy,"IEEE Trans. on Industrial Electronics, vol. 64, issue 8, pp. 6742  6751, 2017. [114]
G. Jiang, H. He, P. Xie, Y. Tang, "Stacked MultiLevelDenoising
Autoencoders: A New Representation Learning Approach for Wind Turbine
Gearbox Fault Diagnosis," IEEE Transactions on Instrumentation & Measurement, vol. 66, issue 9, pp. 2391 2402, 2017. [113]
C. Mu, D. Wang, and H. He, "Novel Iterative Neural Dynamic Programming
for DataBased Approximate Optimal Control Design," Automatica, vol. 81, pp. 240  252, July 2017. [112]
D. Wang, H. He, C. Mu, and D. Liu, "Intelligent Critic Control With
Disturbance Attenuation for Affine Dynamics Including an Application to
a MicroGrid System, " IEEE Trans. on Industrial Electronics, vol. 64, issue 6, pp. 4935  4944, 2017. [111]
B. Tang, Z. Chen, G. Hefferman, S. Pei, T. Wei, H. He, and Q. Yang,
"Incorporating Intelligence in Fog Computing for Big Data Analysis in
Smart Cities," IEEE Transactions on Industrial Informatics, vol. 13, issue 5, pp. 2140  2150, 2017. [110] L. Chen, J. Wang, S. Yang, and H. He, "A
Finger Vein ImageBased Personal Identification System With
SelfAdaptive Illuminance Control," IEEE Trans. on Instrumentation and
Measurement, vol. 66, no. 2, pp. 294304, 2017. [109] B. Tang and H. He, "A Local DensityBased Approach for Outlier Detection," Neurocomputing, vol. 241, pp. 171 180, 2017. [108]
J. Yan, H. He, X. Zhong, and Y. Tang, "Qlearning Based Vulnerability
Analysis of Smart Grid against Sequential Topology Attacks," IEEE Trans. on Information Forensics and
Security (TIFS), vol. 12, no. 1, pp. 200210, Jan. 2017. [107]
H. He and J. Yan, "Cyberphysical Attacks and Defences in the Smart
Grid: A Survey", IET CyberPhysical Systems: Theory & Applications,
vol. 1, issue 1, pp. 13  27, 2016. [pdf] (Survey Paper) [106] J. Yi, D. Huang, H. He, W. Zhou, Q. Han, and T. Li, "A Novel Framework for Fault Diagnosis Using Kernel Partial Least Squares Based on Optimal Preference Matrix, "IEEE Trans. on Industrial Electronics, vol. 64, issue 5, pp. 4315  4324, 2017. [105]
D. Wang, H. He, B. Zhao, and D. Liu, "Adaptive Nearoptimal Controllers
for Nonlinear Decentralized Feedback Stabilization Problems," IET
Control Theory & Applications, vol. 11, issue 6, pp. 799  806, 2017. [104]
Y. Zhu, D. Zhao, H. He, and J. Ji, "EventTriggered Optimal Control for
PartiallyUnknown ConstrainedInput Systems via Adaptive Dynamic
Programming,"IEEE Trans. on Industrial Electronics, vol. 64, issue 5, pp. 4101  4109, 2017. [103]
B. Tang, C. Jiang, H. He, and Y. Guo, "Human Mobility Modeling for
RobotAssisted Evacuation in Complex Indoor Environments," IEEE Trans.
on HumanMachine Systems, vol. 46, no. 5, pp. 694707, 2016. [102]
X. Zhong, Z. Ni, and H. He, "GrGDHP: A New Architecture for Globalized
Dual Heuristic Dynamic Programming," IEEE Transactions on Cybernetics,
vol. 47, issue 10, pp. 3318  3330, 2017. [101]
D. Wang, H. He, and D. Liu, "Improving the Critic Learning for
EventBased Nonlinear $H_{\infty}$ Control Design, " IEEE Transactions
on Cybernetics, vol. 47, issue 10, pp. 3417  3428, 2017. [100]
D. Wang, C. Mu, H. He, and D. Liu, "EventDriven Adaptive Robust
Control of Nonlinear Systems With Uncertainties Through NDP Strategy,"
IEEE Trans. on Systems, Man, adn Cybernetics: Systems, vol. 47, issue 7, pp. 1358  1370, 2017.
[99]
G. Weng, F. Huang, J. Yan, X. Yang, Y. Zhang, and H. He, "A
FaultTolerant Location Approach for Transient Voltage Disturbance
Source Based on Information Fusion, " Energies, 9(12), 1092,
doi:10.3390/en9121092, 2016. [98] G. Weng, F. Huang, Y. Tang, J. Yan, Y. Nan, and H. He, "Faulttolerant location of transient voltage disturbance source for DG integrated smart grid,"Electric Power Systems Research, vol. 144, pp. 1322, March 2017. [97]
L. Dong, X. Zhong, C. Sun, and H. He, "EventTriggered Adaptive Dynamic
Programming for ContinuousTime Systems with Control Constraints," IEEE
Transactions on Neural Networks and Learning Systems (TNNLS), vol. 28, issue 8, pp. 1941  1952, 2017. [96]
X. Wang, J. Yang, P. Liu, W. Liu, J. Yan, Y. Tang, and H. He, "Online
Calculation for the Optimal Reclosing Time of Transmission
Lines," Electric Power Components and Systems, 44:17, pp.
19041916, 2016. [95]
Y. Tang, C. Mu, and H. He, "SMES Based Damping Controller Design Using
FuzzyGrHDP Considering Transmission Delay," IEEE Trans. on Applied
Superconductivity, vol. 26, issue 7, Article Sequence Number: 5701206, 2016. [94]
B. Tang, S. Kay, H. He, and P. M. Baggenstoss, "EEF: Exponentially
Embedded Families with ClassSpecific Features for Classification,"
IEEE Signal Processing Letters, vol. 23, issue 7, pp. 969  973, 2016. [93]
B. Tang, S. Kay, and H. He, "Toward Optimal Feature Selection in Naive
Bayes for Text Categorization," IEEE Trans. on Knowledge and Data
Engineering (TKDE), vol. 28, issue 9, pp. 2508  2521, 2016. [92] J. Xu, B. Tang, H. He, and H. Man, "SemiSupervised Feature Selection Based on Relevance and Redundancy Criteria," IEEE Trans. on Neural Networks and Learning Systems (TNNLS), vol. 28, issue 9, pp. 1974  1984, 2017. [91] C. Mu, Z. Ni, C. Sun, and H. He, "DataDriven Tracking Control with Adaptive Dynamic Programming for a Class of Continuoustime Nonlinear Systems," IEEE Trans. on Cybernetics, vol. 47, issue 6, pp. 1460  1470, 2017. [90]
S. Li, B. Tang, and H. He, "An Imbalanced Learning based MDRTB Early
Warning System," Journal of Medical Systems, vol. 40, issue 7, pp. 19, 2016. [89] D. Lu, X. Zhong, C. Sun, and H. He, "Adaptive EventTriggered Control based on Heuristic Dynamic Programming for Nonlinear Discretetime Systems,"IEEE Trans. on Neural Networks and Learning Systems (TNNLS), vol. 28, issue 7, pp. 1594  1605, 2017. [88]
Y. Tang, C. Luo, J. Yang, and H. He, "A Chance Constrained Optimal
Reserve Scheduling Approach for Economic Dispatch Considering Wind
Penetration," IEEE/CAA Journal of Automatica Sinica, vol. 4, issue 2, pp. 186  194, 2017. [87]
L. Dong, Y. Tang, H. He, and C. Sun, "An EventTriggered Approach for
Load Frequency Control with Supplementary ADP," IEEE Trans on Power
Systems, vol. 32, issue 1, pp. 581  589, 2017. [86]
L. He, J. Yang, J. Yan, Y. Tang, and H. He, "A Bilayer Optimization
based Temporal and Spatial Scheduling for Largescale Electric
Vehicles," Applied Energy, vol. 168, pp. 179192, Apr. 2016. [85]
X. Zhong and H. He, "An EventTriggered ADP Control Approach for
Continuoustime System with Unknown Internal States," IEEE Trans. on
Cybernetics, vol. 47, issue 3, pp. 683  694, 2017 [84] B. Tang, H. He, P. M. Baggenstoss, and S. Kay, "A
Bayesian Classification Approach Using ClassSpecific Features for Text
Categorization," IEEE Trans. on Knowledge and Data Engineering (TKDE),
vol. 28, issue 6, pp. 1602  1606, 2016. [83]
C. Mu, Z. Ni, C. Sun, and H. He, "Airbreathing Hypersonic Vehicle
Tracking Control based on Adaptive Dynamic Programming," IEEE Trans. on
Neural
Networks and Learning Systems (TNNLS), vol. 28, issue 3, pp. 584  598, 2017. [82] J. Yi, D. Huang, S. Fu, H. He, T. Li, "Optimized Relative Transformation Matrix Using Bacterial Foraging Algorithm for Process Fault Detection, "IEEE Trans. on Industrial Electronics, vol. 63, issue 4, pp. 2595  2605, 2016. [81]
X. Xu, Z. Huang, L. Zuo, and H. He, "Manifoldbased Reinforcement
Learning via Locally Linear Reconstruction," IEEE Trans. on Neural
Networks and Learning Systems (TNNLS), vol. 28, issue 4, pp. 934  947, 2017. [79] J. Yi, D. Huang, S. Fu, H. He, and T. Li, "Multiobjective Bacterial Foraging Optimization Algorithm Based on Parallel Cell Entropy for Aluminum Electrolysis Production Process," IEEE Trans. on Industrial Electronics, vol. 63, issue 4, pp. 2488  2500, 2016. [78]
Y. Tang, H. He, Z. Ni, J. Wen, and T. Huang, "Adaptive Modulation for
DFIG and STATCOM with HVDC Transmission," IEEE Trans. on Neural
Networks and Learning Systems (TNNLS), vol. 27, issue. 8, pp. 1762  1772, 2016. [77]
J. Qiu, L. Cheng, X. Chen, J. Lu, H. He, "Semiperiodically
intermittent control for synchronization of switched complex networks:
a modedependent average dwell time approach," Nonlinear Dynamics (Springer), vol. 83, issue 3, pp. 1757  1771, 2016. [76] X. Zhong, Z. Ni, and H. He, "A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming," IEEE Trans. on Neural Networks and Learning Systems (TNNLS), vol. 27, issue 12, pp. 2513  2525, 2016. [75]
Q. Sun, Y. Zhang, H. He, D. Ma, and H. Zhang, "A Novel Energy
Functionbased Stability Evaluation and Nonlinear Control Approach for
Energy Internet," IEEE Trans. on Smart Grid, vol. 8, issue 3, pp. 1195  1210, 2017. [74]
A. Zhang, J. Qiu, C. Yang, H. He, "Stabilization of Under Actuated
Fourlink Gymnast Robot using Torquecoupled Method," International
Journal of NonLinear Mechanics, 77, pp. 299306, 2015. [73]
S. Kay, Q. Ding, B. Tang, and H. He, "Probability Density Function
Estimation using the EEF with Application to Subset/Feature Selection,"
IEEE Trans. on Signal Processing, vol. 64, issue. 3, pp. 641  651,
2016. [72]
C. Lian, X. Xu, H. Chen, and H. He, "Nearoptimal Tracking Control of
Mobile Robots via Recedinghorizon Dual Heuristic Programming," IEEE
Trans on Cybernetics, vol. 46, issue 11, pp. 2484  2496, 2015. [71]
X. Chen, J. Qiu, H. He, J. Cao, "Hybrid Synchronization Behavior in An
Array of Coupled Chaotic Systems with Ring Connection," Neurocomputing,
vol. 173, part 3, pp. 1299  1309, 2015. [70]
J. Yang, X. Feng, Y. Tang, J. Yan, H. He, and C. Luo, "A Power System
Optimal Dispatch Strategy Considering the Flow of Carbon Emissions and
Large Consumers," Energies, vol. 8, issue. 9, pp. 90879106, Aug. 2015. [69]
Z. Ni, Y. Tang, X. Sui, H. He, and J. Wen, "An Adaptive NeuroControl
Approach for Multimachine Power Systems," International Journal of
Electrical Power and Energy Systems, vol. 75, pp. 108  116, 2016. [68]
Y. Zhu, D. Zhao, H. He, and J. Ji, "Convergence Proof of Approximate
Policy Iteration for Undiscounted Optimal Control of DiscreteTime
Systems," Cognitive Computation, vol. 7, issue 6, pp. 763  771, 2015. [67]
J. Li, S. Fu, H. He, H. Jia, Y. Li, and Y. Guo, "Simulating largescale
pedestrian movement using CA and event driven model: Methodology and
case study," Physica A, 437, pp. 304321, 2015. [pdf] [66]
Z. Ni, H. He, X. Zhong, and D. V. Prokhorov, "ModelFree Dual Heuristic
Dynamic Programming," IEEE Trans. on Neural Networks and Learning
Systems (TNNLS), vo. 26, issue. 8, pp. 1834  1839, 2015. [65]
Y. Tang, J. Yang, J. Yan, and H. He, "Intelligent Load Frequency
Controller Using GrADP for Island Smart Grid with Electric Vehicles and
Renewable Resources," Neurocomputing, vol. 170, pp. 406416, 2015. [64]
X. Fang, D. Zheng, H. He, and Z. Ni, "DataDriven Heuristic Dynamic
Programming with Virtual Reality," Neurocomputing, vol. 166, pp. 244255, 2015. [63] B. Tang and H. He, "ENN: Extended Nearest Neighbor Method for Pattern Recognition," IEEE Computational Intelligene Magazine, vol.10, issue 3, pp.52  60, Aug. 2015. [ENN paper] [Lecture Notes in PPT] [Lecture Notes in PDF] [ENN Source Code] [62]
J. Yang, L. Gong, Y. Tang, J. Yan, H. He, L. Zhang, G. Li, "An Improved
SVMbased Cognitive Diagnosis Algorithm for Operation States of
Distribution Grid," Cognitive Computation, vol. 7, issue 5, pp 582593, Oct. 2015. [61]
J. Yang, Z. Zeng, Y. Tang, J. Yan, H. He, Y. Wu, "Load Frequency
Control in Isolated MicroGrid with Electrical Vehicle Based on
Multivariable Generalized Predictive Theory," Energies, 8(3), pp. 21452164, 2015. [pdf] [60] B. Tang, H. He, Q. Ding, and S. Kay, "A Parametric Classification Rule Based on the Exponentially Embedded Family," IEEE Trans. Neural Networks and Learning Systems (TNNLS), vol. 26, issue 2, pp. 367377, 2015. [pdf] (IEEE CIM Publication Spotlight paper) [59] Y. Tang, H. He, J. Wen, J. Liu, "Power
System Stability Control for a Wind Farm Based on Adaptive Dynamic
Programming," IEEE Trans. on Smart Grid, vol. 6, issue 1, pp. 166177, 2015. [pdf] [58]
C. Yang, J. Qiu, and H. He, "Exponential Synchronization for a Class of
Complex Spatiotemporal Networks with Spacevarying Coefficients," Neurocomputing, vol. 151, part 1, pp. 401407, 2015. [pdf] [57] Y. Zhu, J. Yan, Y. Tang, Y. Sun, and H. He, "Resilience Analysis of Power Grids under the Sequential Attack," IEEE Trans. Information Forensics and
Security, vol. 9, issue 12, pp. 23402354, 2014. [pdf] [56] Z. Ni, H. He, D. Zhao, X. Xu, and D. Prokhorov, "GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming," IEEE Trans. Neural Networks and Learning Systems (TNNLS), vol. 26, issue 3, pp. 614627, 2015. [pdf] [55]
J. Liu, W. Yao, J. Wen, H. He, X. Zheng, "Active Power Oscillation
Property Classification of Electric Power Systems Based on SVM,"
Journal of Applied Mathematics, volume 2014, Article ID 218647, 2014. [pdf] [54]
S. Fu, H. He, and Z. Hou, "Learning Race from Face: A Survey," IEEE
Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. 36, issue 12, pp. 24832509, 2014. [pdf] [51]
J. Xu, G. Yang, Y. Yin, H. Man, and H. He, "Sparse Representation Based
Classification with Structure Preserving Dimension Reduction,"
Cognitive Computation, Volume 6, Issue 3, pp 608621, 2014. [pdf] [50] X. Zhong, H. He, H. Zhang, and Z. Wang, "Optimal Control
for Unknown DiscreteTime Nonlinear Markov Jump Systems Using Adaptive
Dynamic Programming," IEEE Trans. Neural Networks and
Learning Systems (TNNLS), vol. 25, issue 12, pp. 21412155, 2014 [pdf] [49]
X. Sui, Y. Tang, H. He, J. Wen, "Energy Storage Based Low Frequency
Oscillation Damping Control Using Particle Swarm Optimization and
Heuristic Dynamic Programming," IEEE Trans. on Power Systems (TPS), vol. 29, issue 5, pp. 25392548, 2014. [pdf] [48] J.
Yan, H. He, and Y. Sun, "Integrated Security Analysis on Cascading
Failure in Complex Networks," IEEE Trans. on Information Forensics and
Security (TIFS), vol. 9, issue 3, pp. 451463, 2014. [pdf] [47]
Q. Cai, H. He, and H. Man, "Imbalanced
evolvingselforganizinglearning," Neurocomputing, vol. 133, 10 June
2014, pp. 258270, 2014. [pdf] [46] Y. Zhu, J. Yan, Y. Sun, and H. He, "Revealing
Cascading Failure Vulnerability in Power Grids using RiskGraph," IEEE
Trans. on Parallel and Distributed Systems (TPDS), vol. 25, issue 12, pp. 32743284, 2014. [pdf] [45]
K. Li, Y. Guo, D. Laverty, H. He, M. Fei, "Distributed Adaptive
Learning Framework for Wide Area Monitoring of Power Systems Integrated
with Distributed Generations," Energy and Power Engineering, Vol.5,
No.4B, pp. 962969, July 2013. [pdf] [44]
Z. Ni and H. He, "Heuristic Dynamic Programming with Internal Goal
Representation," Soft Computing, vol. 17, issue 11, pp. 21012108, November, 2013. [pdf] [43]
Z. Ni, H. He, J. Wen, and X. Xu, "Goal Representation Heuristic Dynamic
Programming on Maze Navigation," IEEE Trans. Neural Networks and
Learning Systems, vol. 24, issue 12, pp. 20382050, 2013. [pdf] [42] L. Zhang, K. Li, H. He and G. W. Irwin, "A New DiscreteContinuous Algorithm for Radial Basis Function (RBF) Networks Construction," IEEE Trans. Neural Networks and Learning Systems, vol. 24, issue 11, pp. 17851798, 2013. [pdf] [41] J. Yan, Y. Zhu, H. He, and Y. Sun, "MultiContingency Cascading Analysis of Smart Grid Based on SelfOrganizing Map," IEEE Trans. Information Forensics and Security, vol. 8, no. 4, pp. 646656, 2013. [pdf]. (IEEE TIFS Cover Page highlighted paper & IEEE Communications Society Best Readings on Communications and Information Systems Security) [40]
Z. Ni, H. He, and J. Wen, "Adaptive Learning in Tracking Control Based on the
Dual Critic Network Design, IEEE Trans. Neural Networks and Learning Systems, vol. 24, no. 6, pp. 913928,
2013. [pdf]. (IEEE CIM Publication Spotlight paper) [39]
Q. Cai, H. Man, and H. He, "Spatial Outlier Detection Based on Iterative
SelfOrganizing Learning Model," Neurocomputing, 117 (2013): 161172, 2013. [pdf] [38]
X. Xu, C. Lian, L. Zuo, and H. He, "KernelBased Approximate Dynamic Programming
for RealTime Online Learning Control: An Experimental Study," IEEE Trans.
Control Systems Technology, vol. 22, issue 1, pp. 146156, 2014. [pdf] [37] Y. Tang, P. Ju, H. He, C. Qin, and W. Feng, "Optimized Control of DFIGBased Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization," IEEE Trans Smart Grid, vol. 4, no1., pp. 509520, 2013. [pdf] [36] X. Xu, Z. Hou, C. Lian, and H. He, "Online Learning Control Using Adaptive Critic Designs with Sparse Kernel Machines," IEEE Trans. Neural Networks and Learning Systems, vol. 24, no.5, pp. 762775, 2013. [pdf] [35] H. Li, H. Sun, J. Wen, S. Cheng, and H. He, "A Fully Decentralized MultiAgent System for Intelligent Restoration of Power Distribution Network Incorporating Distributed Generations," IEEE Computational Intelligence Magazine, pp. 6676, November, 2012 [pdf]. [34] Y. Tang, H. He, Z. Ni, J. Wen, and X. Sui, "Reactive Power Control of GridConnected Wind Farm Based on Adaptive Dynamic Programming," Neurocomputing, vol. 125, pp. 125133, February 2014. [pdf] [33] Y. Cao, H. He, and M. Hong, "SOMKE: Kernel Density Estimation Over Data Streams by Sequences of SelfOrganizing Maps," IEEE Trans. Neural Networks and Learning Systems, vol. 23, issue 8, pp. 12541268, 2012. [pdf] [32] H. He and Y. Cao, "SSC: A Classifier Combination Method Based on Signal Strength," IEEE Trans. Neural Networks and Learning Systems, vol. 23, issue 7, pp. 11001117, 2012. [pdf] [SSC source code and examples are available from here...] [31] H. He, S. Chen, K. Li, and X. Xu, "Incremental Learning from Stream Data," IEEE Trans. Neural Networks and Learning Systems, vol. 22, issue 22, pp. 19011914, 2012. [pdf] [30] J. Xu, H. He, and H. Man, "DCPE cotraining for classification," Neurocomputing, vol. 86, pp. 7585, 2012. [pdf]. [29] H. He, Z. Ni, and J. Fu, "A Threenetwork Architecture for Online Learning and Optimization based on Adaptive Dynamic Programming," Neurocomputing, vol. 78, issue 1, pp. 313, 2012. [pdf]. [28] G. Weng, Y. Zhang, and H. He, "A Novel Location Algorithm for Power Quality Disturbance Source Using Chain Table and Matrix Operation," International Review of Electrical Engineering (IREE), 2011. [27] H. He, Yuan Cao, Yi Cao, J. Wen, "Ensemble Learning for Wind Profile Prediction with Missing Values," Neural Computing & Applications, DOI 10.1007/s0052101107081, 2011. [pdf] [26] J. Fu, H. He, and X. Zhou, "Adaptive Learning and Control for MIMO System Based On Adaptive Dynamic Programming," IEEE Trans. Neural Networks, vol. 22, issue 7, pp. 11331148, 2011. [pdf] [25] Y. Cao, H. He, and H. Huang, "LIFT: A New Framework of Learning From Testing Data for Face Recognition," Neurocomputing, vol. 74, issue 6, pp. 916929, February, 2011. [pdf] [24] S. Chen and H. He, "Towards Incremental Learning of Nonstationary Imbalanced Data Stream: A Multiple Selectively Recursive Approach," Evolving Systems, vol. 2, no. 1, pp. 3550, 2011. [pdf] [23] J. Qiu, J. Lu, J. Cao, and H. He, "Tracking Analysis for General Linearly Coupled Dynamical Systems," Communications in Nonlinear Science and Numerical Simulation, vol. 16, issue 4, pp. 20722085, 2011. [pdf] [22] H. Huang, F. Zhang, Y. Sun, and H He, "Design of a Robust EMG Sensing Interface for Pattern Classification," Journal of Neural Engineering, 7(5), 056005 (10pp), 2010. [pdf] [21] K. Li, J. Deng, H. He, and D. Du, "Compact Extreme Learning Machines for biological systems, " Int. Journal of Computational Biology and Drug Design, vol. 3, no. 2, pp.112132, 2010. [pdf]. [20] B. Liu, H. He, and S. Chen, "Adaptive Dual Network Design for a Class of SIMO Systems with Nonlinear Timevariant Uncertainties," Acta Automatic Sinca, vol. 36, no. 4, 2010. [pdf] [19] S. Chen, H. He, and E. A. Garcia, "RAMOBoost: Ranked Minority Oversampling in Boosting," IEEE Trans. Neural Networks, vol. 21, no. 10, pp. 16241642, 2010. [pdf] [18] R. Machado, H. He, G. Wang, and S. Tekinay, "Redundancy Estimation and Adaptive Density Control in Wireless Sensor Networks," Ad Hoc & Sensor Wireless Networks, Volume 10, Number 23, pp. 153176, 2010. [pdf] [17] H. He and E. A. Garcia, "Learning from Imbalanced Data," IEEE Trans. Knowledge and Data Engineering, vol. 21, issue 9, pp. 12631284, 2009. [pdf]. [Lecture Notes on in PDF] [Lecture Notes in PPT] (The Mostcited paper in the IEEE TKDE since publishing). [16] H. He, X. Shen, and J. A. Starzyk, "Power Quality Disturbances Analysis Based on EDMRA Method," International Journal of Electrical Power & Energy Systems, vol. 31, issue 6, pp. 258268, 2009. [pdf] [15] J. A. Starzyk and H. He, "SpatioTemporal Memories for Machine Learning: A LongTerm Memory Organization," IEEE Trans. Neural Networks, vol. 20, no. 5, pp. 768780, 2009. [pdf] [14] H. He and S. Chen, "IMORL: Incremental Multiple Objects Recognition and Localization," IEEE Trans. Neural Networks, vol. 19, no. 10, pp. 1727178, 2008 [pdf] [13] J. A. Starzyk and H. He, "AnticipationBased Temporal Sequences Learning in Hierarchical Structure," IEEE Trans. Neural Networks, vol. 18, pp. 344  358, 2007. [pdf] [12] 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. [pdf] [11] Z. Zhu, H. He, J. A. Starzyk, C. Tseng. "SelfOrganizing Learning Array and its Application to Economic and Financial Problems," Information Science, vol. 177, pp. 1180  1192, 2007. [pdf] [10] H. He and J. A. Starzyk, "A Self Organizing Learning Array System for Power Quality Classification based on Wavelet Transform," IEEE Trans. on Power Delivery, vol.21, pp. 286295, January, 2006. [pdf] (Ranked No. 3 in citation for all papers published in IEEE TPD since publishing). [9] 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. 18791885, July, 2005. [pdf] (Ranked No. 7 in citation for all papers published in IEEE TPD since publishing). [8] H. He, S. Cheng, Y. Zhang, and J. Nguimbis, "Analysis of Reflection of Signal Transmitted In Low Voltage Powerline with Complex Wavelet," IEEE Trans. on Power Delivery, vol. 19, pp. 8691, January, 2004. [pdf] [7] 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. 269274, May 2003. [pdf] [6] H. He, Y. Zhang, and S. Cheng, "Signal Reflection Analysis for Low Voltage Powerline Communication," Proc. Chin. Soc. Elect. Eng., vol. 22, No. 6, pp.1115, 2002. (in Chinese) [5] H. He and X. Jiang, "A Novel Scheme for Low Voltage Power Line Communication Signal Processing," Proc. Chin. Soc. Elect. Eng., vol. 21, No.7, pp. 6671, 2001. (in Chinese) [4] H. He, Y. Zhou, and X. Wu, "The State of Research and Application of Low Voltage Powerline Communication," Relay, vol. 29, No.7, pp.1216, 2001. (in Chinese) [3] Y. Zhang, H. He, and X. Wu, "Modeling of The Channel for Low Voltage Power Line Carrier Communication," Relay, Vol. 30, No. 5, pp.2024, 2002. (in Chinese) [2] X. Jiang, J. Wen, and H. He, "The study and realization of realtime power quality supervisory software," Relay, Vol. 28, No.3, pp. 3336, 2000. (in Chinese) [1] Y. Zhang, S. Cheng, H. He, X. Lan, 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. 6266, 2002. (in Chinese) 



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