[Journal Papers]                                                         [Conference Papers]                



Refereed 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, "Kernel-based 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, "Data-Driven 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, "Sampled-Data-Based Tracking for Heterogeneous Nonlinear Second-Order 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 Event-Driven 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 14-18, 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. 17-20, 2017.

[136] Y. Tang and H. He, "Inter-Connected Power System Frequency Stability with Wind Penetration by Using Fuzzy-GrHDP," 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 Hypertext-Induced 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 Autoencoder-based Approach, " in Proc. Int. Joint Conf. Neural Networks (IJCNN'17), Anchorage, Alaska, USA, May 14-19, 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 14-19, 2017.

[131] Y. Tang, C. Mu, H. He, "Near-Space Aerospace Vehicles Attitude Control Based on Adaptive Dynamic Programming and Sliding Mode Control,"
in Proc. Int. Joint Conf. Neural Networks (IJCNN'17), Anchorage, Alaska, USA, May 14-19, 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 14-19, 2017.

[129] Y. Shen, W. Yao, J. Wen, H. He, and C. Luo, "Resilient Wide-Area 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, "Robot-Assisted Pedestrian Regulation in an Exit Corridor," 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Daejeon Convention Center, Daejeon, Korea, October 9-14, 2016.

[126] D. Wang, C. Mu, H. He, and D. Liu, "Adaptive-Critic-Based Event-Driven Nonlinear Robust State Feedback," 2016 IEEE 55th Conference on Decision and Control (CDC), ARIA Resort & Casino, Las Vegas, USA,
December 12-14, 2016.

[125] X. Zhong, Z. Ni, and H. He," Convergence Analysis of GrDHP-based Optimal Control for Discrete-time 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 Event-Triggered 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
Using Unsupervised Learning
," in Proc. IEEE World Congress on Computational Intelligence (WCCI'16), Vancouver, Canada, Jul 25 - 29, 2016.

[120] D. Wang, H. He, D. Liu, and C. Li, "Self-Learning Optimal Guaranteed Cost Control of Input-Affine Continuous-Time Nonlinear Systems Under Uncertain Environment," in Proc. 12th World Congress on Intelligent Control and Automation (WCICA'16), Guilin, China, June 12-15, 2016.

[119] B. Tang and H. He, "FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization," in Proc. 12th World Congress on Intelligent Control and Automation (WCICA'16), Guilin, China, June 12-15, 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, "Observer-based Sliding Mode Frequency Control for Micro-Grid 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 6-8, 2016.

[115] C. Luo, J. Yang, Y. Tang, H. He, and M. Liu, "Chance Constraint Based Risk-Aware Optimal Power Flow for Cascading Failure Prevention," in Proc. IEEE PES Transmission & Distribution Conference & Exposition (IEEE PES T&D 2016), Dallas, TX, May 2-5, 2016.

[114] J. Yan, Y. Tang, Y. Zhu, H. He and Y. L. Sun, "Smart Grid Vulnerability under Cascade-Based Sequential Line-Switching Attacks," 2015 IEEE Global Communications Conference (GLOBECOM), San Diego, CA, USA, Dec. 2015

[113] C. Luo, J. Yang, Y. Sun, J. Yan, H. He and M. Liu, "A Cascading Failure Simulation Model considering Frequency Dynamics and Power Flow Distribution," 2015 North American Power Symposium (NAPS), Charlotte, NC, USA, Oct. 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 7-9, 2015.

[111] J. Kane, B. Tang, Z. Chen, J. Yan, T. Wei, H. He, and Q. Yang, "Reflex-Tree: A Biologically Inspired Parallel Architecture for Future Smart Cities," The 44th International Conference on Parallel Processing (ICPP 2015), Beijing, China, September 1-4, 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 20-23, 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, "Event-Triggered Adaptive Dynamic Programming for Continuous-time Nonlinear System Using Measured Input-Output 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 Event-Triggered Control based on Heuristic Dynamic Programming for Nonlinear Continuous-Time 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 17-20, 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. 20-22, 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. 20-22, 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 GPU-Based Real-Time 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 Human-like Intelligence (CIHLI'14), Orlando, Florida, December 9 - 12, 2014.

[97] X. Zhong, Z Ni, Y Tang and H He, "Data-Driven 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, "Multi-Machine 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 On-line 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, "Event-Triggered Reinforcement Learning Approach for Unknown Nonlinear Continuous-Time 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.

[91] B. Tang, Q. Ding, H. He, and S. Kay, "Hybrid Classification with Partial Models,"
in Proc. Int. Joint Conf. Neural Networks (IJCNN'14), Beijing, July 6 - 11, 2014.

[90] Y. Zhu, D. Zhao, H. He, "An High-Efficient Online Reinforcement Learning Algorithm for Continuous-State Systems," in Proc. World Congress on Intelligent Control and Automation (WCICA'14), Shenyang, China, June 29-July 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 23-25, pp. 343-352, 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. 616-621, Sydney, Australia, June 10-14, 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 1-5, 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 Continuous-time 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 Neural-Machine 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, ``Real-Time 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 ``Risk-Aware 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, "Data-Driven 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 Under-actuated Systems,"  in Proc. IEEE World Congress on Computational Intelligence (IEEE WCCI-IJCNN'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 WCCI-IJCNN'12), Brisbane, Australia, 2012.

[71] Z. Ni, H. He, D. Zhao, and D. V. Prokhorov, "Reinforcement Learning Control Based on Multi-Goal Representation Using Hierarchical Heuristic Dynamic Programming," in Proc. IEEE World Congress on Computational Intelligence (IEEE WCCI-IJCNN'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 critic-actor 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 (INNS-WC'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 Self-Organizing 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, "Risk-aware 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, "Actor-Critic Design for On-Line 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 Actor-Critic Learning Approach with Levenberg-Marquardt Algorithm," in Proc. Int. Joint Conf. Neural Networks (IJCNN'11), 2011;

[54] Q. Cai, H. He, and H. Man, "Hybrid Learning Based on Multiple Self-Organizing 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 Closely-Coupled 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 Self-Organizing 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 Delay-Constrained 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 Self-organizing 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 Co-Training: Co-Training 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 Self-organizing 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, "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, 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 Multiple-Goal 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, "Two-Time-Scale Online Actor-Critic 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 Self-organizing 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 Multiple-Stage 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 Self-Organizing Map Approach for Spatial Outlier Detection with Multiple Attributes,"  in Proc. Int. Joint Conf. Neural Networks (IJCNN'09), pp. 425-431, 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. 439-445, 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. 522-529, 2009.

[28] 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), 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 Dual-System 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, "Multi-target Tracking in Complex Visual Environment," in Proc. SPIE, vol. 7305, pp. 73050J-73050J-9, 2009.

[24] 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.

[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, # 1044-65-221, Huntsville, AL, October 24-26, 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. 472-481, 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 Networks (IJCNN'08), pp. 1322-1328, 2008. [pdf]

[20] 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.

[19] H. He, Y. Cao, S. Chen, S. Desai, M. E. Hohil, "Dynamic Adaptive Learning for Decision-making Supporting Systems," in Proc. SPIE, vol. 6974, pp. 69740O-69740O-10, 2008.

[18] H. He, S. Chen, Y. Cao, S. Desai, M. E. Hohil, "Multi-objects Recognition for Distributed Intelligent Sensor Networks," in Proc. SPIE, vol. 6963, pp. 69630R-69630R-10, 2008.

[17] 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), Boston, 2008. (Extended Abstract)

[16] 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.

[15] 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.

[14] 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.

[13] H. He and J. A. Starzyk, "Online Dynamic Value System for Machine Learning," Proc. Int. Sym. Neural Networks (ISNN), Lecture Notes in Computer Science (LNCS), vol. 4491, pp. 441-448, 2007.

[12] J. A. Starzyk, H. He and Y. Li,  "A Hierarchical Self-organizing Associative Memory for Machine Learning," Proc. Int. Sym. Neural Networks (ISNN), Lecture Notes in Computer Science (LNCS), vol. 4491, pp. 413-423, 2007.

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

[10] 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

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

[8] J. A. Starzyk, Y. Liu, and H. He, "Challenges of Embodied Intelligence," in Proc. Int. Conf. Signals and Electronic Systems (ICSES), 17-20 Sept., 2006, Poland.

[7] 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.  

[6] 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

[5] 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, 2003, Cary, North Carolina, USA, Sept. 26-30, 2003. 

[4] Y. Zhang, S. Cheng, H. He, Xiong. L, 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.   

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

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

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