Research Summary

Research Subjects

• Tensor Decomposition and Tensor Networks
• Bayesian Tensor Learning
• Deep Tensor Learning

Selected Publications

• 1.G. Zhou, Q. Zhao, Y. Zhang, T. Adali, S. Xie, and A. Cichocki:
  Linked component analysis from matrices to high order tensors: Applications to biomedical data"
  Proceedings of the IEEE (PIEE), 104(2):310-331, (2016).
• 2.Q. Zhao, G. Zhou, L. Zhang, A. Cichocki, and S. Amari:
  "Bayesian robust tensor factorization for incomplete multiway data"
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 27(4):736-748, (2016).
• 3.H. Ming, Q. Zhao, B. Chaib-draa, and A. Cichocki:
  "Common and discriminative subspace kernel-based multiblock tensor partial least squares regression"
  Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’16), pp. 1673-1679, (2016).
• 4.G. Zhou, A. Cichocki, Q. Zhao, and S. Xie:
  "Efficient nonnegative Tucker decompositions: Algorithms and uniqueness"
  IEEE Transaction on Image Processing (TIP), 24(12):4990-5003, (2015).
• 5.Q. Zhao, L. Zhang, and A. Cichocki:
  "Bayesian CP factorization of incomplete tensors with automatic rank determination"
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 37(9):1751-1763, (2015).
• 6.C. Li, Q. Zhao, J. Li, A. Cichocki, and L. Guo:
  "Multi-tensor completion with common structures"
  Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI’15), pp. 2743-2749, (2015).
• 7.Q. Zhao, G. Zhou, T. Adali, L. Zhang, and A. Cichocki:
  "Kernerlization of tensor-based models for multiway data analysis"
  IEEE Signal Processing Magazine (SPM), 30(4):137-148, (2013).
• 8.Q. Zhao, C.F. Caiafa, D.P. Mandic, Z.C. Chao, Y. Nagasaka, N. Fujii, L. Zhang, and A. Cichocki:
  "Higher-order partial least squares (HOPLS): A generalized multi-linear regression method"
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 35(7):1660-1673, (2013).
• 9.Q. Zhao, L. Zhang, and A. Cichocki:
  "A tensor-variate Gaussian process for classification of multidimensional structured data"
  Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI’13), pp. 1041-1047, (2013).
• 10.Q. Zhao, C. F Caiafa, D. P Mandic, L. Zhang, T. Ball, A. Schulze-Bonhage, and A. Cichocki:
  "Multilinear subspace regression: An orthogonal tensor decomposition approach"
  Advances in Neural Information Processing Systems 24 (NIPS), pp. 1269-1277, (2011).

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