[1] X. M. Tao, Y. Liu, C. Jiang, Z. Wang and X. Qin, "QoE-Oriented Multimedia Assessment: A Facial Expression Recognition Approach", IEEE Trans. Multimedia, vol.26, pp.41–50, 2019.
[2] X. M. Tao, Y. Duan, M. Xu, Z. Meng and J. Lu, "Learning QoE of Mobile Video Transmission with Deep Neural Network: A Data-driven Approach", IEEE Journal on Selected Areas in Communications, vol.37, pp.1337–1348, 2019.
[3] X. M. Tao, C. Jiang, J. Liu, A. Xiao and J. Lu, "QoE Driven Resource Allocation in Next Generation Wireless Networks", IEEE Wireless Communications, vol.26, pp.78–85, 2019.
[4] X. M. Tao, L. Dong, Y. Li, J. Zhou, N. Ge and J. Lu, "Real-time personalized content catering via viewer sentiment feedback: a QoE perspective", IEEE Network, vol.29, pp.14–19, 2015.
[5] X. M. Tao, Y. P, Duan, C. Yang, H. J. Zhang, S. Liu, and J. H. Lu, “Representation Learning in Wireless Multimedia Communications”, IEEE Wireless Communications Magazine, Accepted, 2020.
[6] Y. P. Duan, C. Y. Han, X. M. Tao, B. R. Geng, Y. F. Du, and J. H. Lu, “Panoramic Image Generation: from 2-D Sketch to Spherical Image”, IEEE Journal of Selected Topics in Signal Processing, Vol. 14, no. 1, 2019.
[7] C. Han, Y. Duan, X. Tao, M. XU and J. Lu, "Toward Variable-Rate Generative Compression by Reducing the Channel Redundancy", IEEE Transactions on on Circuits and Systems for Video Technology, Accepted, 2019.
[8] Y. N. Miao, X. M. Tao, and J. H. Lu, “Joint 3D Shape Estimation and Landmark Localization from Monocular Cameras of Intelligent Vehicles”, IEEE Internet of Things Journal, vol. 6, no. 1, pp. 15-25, Feb. 2019.
[9] B. H. Lin, X. M. Tao, and J. H. Lu, “Hyperspectral Image Denoising via Matrix Factorization and Deep Prior Regularization”, IEEE Transactions on Image Processing, vol. 29, pp. 565-578, Jul. 2019.
[10] C. Zhao, X. M. Tao, J. C, Xiao, VCM. Leung, “Joint Minimization of Wired and Wireless Traffic for Content Delivery by Multicast Pushing”, IEEE Transactions on Wireless Communications, vol. 18, no. 5, pp. 2828-2841, May. 2019.

Dr. Tao is committed to exploring and developing new theoretical methods and key technologies of computing communication. She focuses on the framework of computing communication with multimedia quality of experience (QoE) as the optimization goal. Supported by artificial intelligence, deep learning, computer vision and other technologies, she will develop new methods such as QoE measurement and QoE modeling, and explore new technologies for intelligent transmission based on multimedia transmission and network optimization. It lays an important foundation for significantly improving the sustainable development capability of broadband mobile networks, especially for large-capacity multimedia services. Currently, she has published 55 papers included in SCI expanded, more than 60 papers included in EI. She has won the Best Paper Awards, received 40 invention patents, and received the National Science Fund for Distinguished Young Scholars; the China Youth Science and Technology Award, National Key Research and Development Project, etc.

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