learning ⚫ [IEEE SPL, 2020] Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, with Application to Signal Reconstruction ⚫ [AAAI, 2020] Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting ⚫ [IEEE TNNLS, 2022] Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior ⚫ [CVPR, 2022] Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space ⚫ [IEEE Access, 2023] A New Model for Tensor Completion: Smooth Convolutional Tensor Factorization Sparse regularization in tensor learning ⚫ [SN Computer Science, 2022] Bayesian tensor completion and decomposition with automatic CP rank determination using MGP shrinkage prior ⚫ [IEEE CAI Workshop, 2024] Tensor Completion with Adaptive Block Multi-layer Sparsity-based CP Decomposition ⚫ [EUSIPCO, 2024] Adaptive Block Sparse Regularization under Arbitrary Linear Transform Algorithm development in tensor learning ⚫ [IEEE CAI Workshop, 2024] ADMM-MM Algorithm for General Tensor Decomposition ⚫ [Frontiers in Applied Mathematics and Statistics, 2025] Expectation-Maximization Alternating Least Squares for Tensor Network Logistic Regression Medical imaging using tensor learning ⚫ [ICCV, 2019] “Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated with Deep Image Prior ⚫ [HPC Asia, 2024] "Efficient implementation and acceleration of DIP-NMF-MM algorithm for high-precision 4D PET image reconstruction“