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PUBLICATIONS

  • 14 Journal and 10 Conference papers

  • 2 best paper awards

  • Citations: 500+

  • h-index: 10

  • i10-index: 13

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Highlights
Peer-Reviewed Journal Papers

  • Z. Wan, H. He and B. Tang, "A Generative Model for Sparse Hyperparameter Determination," in IEEE Transactions on Big Data, vol. 4, no. 1, pp. 2-10, 1 March 2018. DOI: 10.1109/TBDATA.2017.2689790

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  • Z. Wan and H. He, "AnswerNet: Learning to Answer Questions," IEEE Transactions on Big Data, vol. 5, no. 4, pp. 540-549, December 2019. DOI: 10.1109/TBDATA.2018.2884486

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  • Z. Wan, C. Jiang, M. Fahad, Z. Ni, Y. Guo and H. He, "Robot-Assisted Pedestrian Regulation Based on Deep Reinforcement Learning," IEEE Transactions on Cybernetics, vol. 50, no. 4, pp. 1669-1682, April 2020. DOI: 10.1109/TCYB.2018.2878977

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  • Z. Wan, H. Li, H. He and D. Prokhorov, "Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning," in IEEE Transactions on Smart Grid, vol. 10, no. 5, pp. 5246-5257, Sept. 2019.  DOI: 10.1109/TSG.2018.2879572​

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  • L. Li, Z. Wan, and H. He, “Incomplete Multi-view Clustering with Joint Partitionand Graph Learning,” in IEEE Transactions on Knowledge and Data Engineering, May 2021.

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  • L. Li, Z. Wan, and H. He, ''Dual Alignment for Partial Domain Adaptation,'' in IEEE Transactions on Cybernetics, March 2020. 

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  • Z. Wang, H. He, Z. Wan, and Y. Sun, ''Coordinated Topology Attacks in SmartGrid Using Deep Reinforcement Learning,'' in IEEE Transactions on Industrial Informatics, April 2020. 

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  • H. Li, Z. Wan, and H. He, ''Real-Time Residential Demand Response,'' in IEEE Transactions on Smart Grid, February 2020. 

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  • F. Wei, Z. Wan, H. He, and X. Lin, ''Ultrafast Active Response Strategy against Malfunction Attack on Fault Current Limiter,'' IEEE Transactions on Smart Grid, December 2019. 

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  • H. Li, Z. Wan, and H. He, "Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning," IEEE Transactions on Smart Grid, November 2019. 

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  • F. Wei, Z. Wan, and H. He, "Cyber-Attack Recovery Strategy for Smart Grid Based on Deep Reinforcement Learning," IEEE Transactions on Smart Grid, November 2019.

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  • F. Wei, Z. Wan, H. He, X. Lin, and Y. Li, "A Novel Scheduling Strategy for Controllable Loads with Power-Efficiency Characteristics," IEEE Transactions on Smart Grid, October 2019.

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  • C. Chen, J. Xiong, Z. Wan, J. Lei and K. Zhang, "A Time Delay Compensation Method Based on Area Equivalence For Active Damping of an LCL-Type Converter," in IEEE Transactions on Power Electronics, vol. 32, no. 1, pp. 762-772, Jan. 2017. DOI: 10.1109/TPEL.2016.2531183

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  • Z. Wan, J. Xiong, J. Lei, C. Chen, K. Zhang, "A Modified Capacitor Current Feedback Active Damping Approach for Grid Connected Converters with an LCL Filter," in Journal of Power Electronics, 15 (5), 1286-1294, 2015. DOI: 10.6113/JPE.2015.15.5.1286

Peer-Reviewed Conference Papers

  • Z. Wan, L. Li, H. Li, H. He, and Z. Ni, ''One-Shot Unsupervised Domain Adaptation for Object Detection,'' 2020 International Joint Conference on Neural Networks(IJCNN), Glasgow, 2020.

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  • Z.Wan and H. He, "Weakly Supervised Object Localization with Deep Convolutional Neural Network based on Spatial Pyramid Saliency Map," 2017 IEEE International Conference on Image Processing (ICIP), Beijing, 2017, pp. 4177-4181.

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  • Z. Wan, Y. Zhang and H. He, "Variational Autoencoder based Synthetic Data Generation for Imbalanced Learning," 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, 2017, pp. 1-7.

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  • Z. Wan, X. Hu, H. He and Y. Guo, "A Learning based Approach for Social Force Model Parameter Estimation," 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, 2017, pp. 4058-4064.

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  • Z. Wan, H. Li, H.Shuai, Y. Sun, and H. He, “Adversarial Attack for Deep Reinforcement Learning Based Demand Response,”2021 IEEE Power & Energy SocietyGeneral Meeting (PESGM).

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  • H. Li, Z. Wan, and H. He, "A Deep Reinforcement Learning Based Approach forHome Energy Management System," 2020 IEEE Innovative Smart Grid Technologies(ISGT), Washington, 2020.

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  • Z. Wan, H. Li, H. He and D. Prokhorov, "A Data-Driven Approach for Real-Time Residential EV Charging Management," 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, USA, 2018, pp. 1-5. (Best Paper Award)

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  • Z. Wan, H. Li and H. He, "Residential Energy Management with Deep Reinforcement Learning," 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, 2018, pp. 1-7.

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  • J. Lei, J. Xiong, Z. Wan, C. Chen, W. Liu, W. Wu and Z. Kong, "Non-Dominant Poles Placement of LCL-Type Grid-Connected Converter for Harmonic Suppression under Minimized Delay," 2016 IEEE International Conference on Industrial Technology (ICIT), Taipei, 2016, pp. 350-354.

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  • Z. Wan, J. Xiong, J. Lei and C. Chen, "Analyze and Reduce the Impact of Sampling Delay on LCL Converter with Capacitor Current Feedback Active Damping," 2015 IEEE 11th International Conference on Power Electronics and Drive Systems (PEDS), Sydney, NSW, 2015, pp. 539-545. (Best Paper Award)

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