2011.09-2015.06 Bachelor of Engineering, Shandong University

2015.09-2020.06 Doctor of Engineering, Tsinghua University

2018.07-2019.08 University of California, Berkeley Joint Training

2020.08 - Present Distinguished Associate Professor, School of Computer and Communication Engineering, University of Science and Technology Beijing

[1] T. Hu, Q. Guo, Z. Li, X. Shen and H. Sun*, "Distribution-Free Probability Density Forecast Through Deep Neural Networks," in IEEE Transactions on Neural Networks and Learning Systems, vol. 31 , no. 2, pp. 612-625, Feb. 2020.

[2] T. Hu, Q. Guo, X. Shen, H. Sun*, R. Wu and H. Xi, "Utilizing Unlabeled Data to Detect Electricity Fraud in AMI: A Semisupervised Deep Learning Approach," in IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 11, pp. 3287-3299, Nov. 2019.

[3] T. Hu, Q. Guo, H. Sun*, T. Huang and J. Lan, "Non-Technical Losses Detection through Coordinated BiWGAN and SVDD," in IEEE Transactions on Neural Networks and Learning Systems.

[4] T. Hu, W. Wu, Q. Guo, H. Sun*, L. Shi and X. Shen, "Very Short-Term Spatial and Temporal Wind Power Forecasting: a Deep Learning Approach," in CSEE Journal of Power and Energy Systems, vol. 6, no. 2, pp. 434-443, June 2020.

[5] Hu Tianyu, Guo Qinglai, Sun Hongbin*. Power theft detection based on stacked decorrelation autoencoder and support vector machine [J]. Automation of Electric Power Systems, 2019, 43(1): 119-125.

Participated in one national key R&D programme and two Southern Power Grid science and technology projects.