Area of research
Computational Mathematics · Computational Mechanics
Research interest
Research interests include Tensor decomposition and applications, Sparse and Compressive Sensing Techniques, EEG and Brain-Computer Interfaces, and Blind Source Separation Techniques.
Balanced Unfolding Induced Tensor Nuclear Norms for High-Order Tensor Completion
Generalized latent multi-view clustering with tensorized bipartite graph
ACGL-TR: A deep learning model for spatio-temporal short-term irradiance forecast
Exclusivity and consistency induced NMF for multi-view representation learning
Semi-supervised non-negative Tucker decomposition for tensor data representation
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination