Numerical linear algebra, Nonnegative matrix factorization, Tensor decomposition, Numerical optimization, Data mining, Machine learning

* Pan, J., and Ng, M. (2023) Co-separable Nonnegative Matrix Factorization. SIAM Journal on Matrix Analysis and Applications, 44(3), 1393-1420. * Pan, J., and Ng, M. (2023) Separable Quaternion Matrix Factorization for Polarization Images. SIAM Journal on Imaging Sciences, 16(3), 1281-1307. * Pan, J., Ng, M., Liu, Y. Zhang, X., and Yan, H. (2021) Orthogonal Nonnegative Tucker Decomposition. SIAM Journal on Scientific Computing, 43(1), B55-B81. * Pan, J., and Ng, M. (2018) Orthogonal Nonnegative Matrix Factorization by Sparsity and Nuclear Norm Optimization. SIAM Journal on Matrix Analysis and Applications, 39(2), 856-75. * Pan, J., and Gillis, N. (2021) Generalized Separable Nonnegative Matrix Factorization. IEEE Trans on Pattern Analysis and Machine Intelligence, 43(5), 1546 - 1561. * Jiang, T., Ng, M., Pan, J. and Song, G. (2023) Nonnegative low rank tensor approximations with multidimensional image applications. Numerische Mathematik, 153, 141-170. * Liu, Y., Pan, J., and Ng, M. (2023) Tucker Network: Expressive Power and Comparison. Neural Networks, 160, 63-83. * Pan, J., and Ng, M. (2018) Symmetric Orthogonal Approximation to Symmetric Tensors with Applications to Image Reconstruction. Numerical Linear Algebra with Applications, 25(5), e2180.