Spectral Norm and Nuclear Norm of a Third Order Tensor. - Liqun Qi 001; Shenglong Hu (CoRR, 2019)

Nuclear Norm and Spectral Norm of Tensor Product. - Liqun Qi 001; Shenglong Hu; Xinzhen Zhang (CoRR, 2019)

Biquadratic Tensors, Biquadratic Decomposition and Norms of Biquadratic Tensors. - Liqun Qi 001; Shenglong Hu; Xinzhen Zhang (CoRR, 2019)

Best Nonnegative Rank-One Approximations of Tensors. - Shenglong Hu; Defeng Sun; Kim-Chuan Toh (SIAM J. Matrix Anal. Appl., 2019)

An Analytical Method for Calculating the Natural Frequencies of a Motor Considering Orthotropic Material Parameters. - Shenglong Hu; Shuguang Zuo; Hao Wu 053; Mingtian Liu (IEEE Trans. Ind. Electron., 2019)

Bounds on strongly orthogonal ranks of tensors. - Shenglong Hu (Appl. Math. Comput., 2020)

An inexact augmented Lagrangian method for computing strongly orthogonal decompositions of tensors. - Shenglong Hu (Comput. Optim. Appl., 2020)

Nondegeneracy of eigenvectors and singular vector tuples of tensors. - Shenglong Hu (CoRR, 2021)

B-Subdifferentials of the Projection onto the Generalized Simplex. - Youyicun Lin; Shenglong Hu (Asia Pac. J. Oper. Res., 2022)

When geometry meets optimization theory: partially orthogonal tensors. - Ke Ye; Shenglong Hu (CoRR, 2022)

A Global Convergence Analysis for Computing a Symmetric Low-Rank Orthogonal Approximation. - Wenxin Du; Shenglong Hu; Youyicun Lin; Jie Wang (Asia Pac. J. Oper. Res., 2022)

Towards Open-World Co-Salient Object Detection with Generative Uncertainty-aware Group Selective Exchange-Masking. - Yang Wu; Shenglong Hu; Huihui Song; Kaihua Zhang 001; Bo Liu 005; Dong Liu 002 (CoRR, 2023)

Efficient low-rank regularization-based algorithms combining advanced techniques for solving tensor completion problems with application to color image recovering. - Xueshuang Ma; Shenglong Hu; Jie Wang (J. Comput. Appl. Math., 2023)

Linear convergence of an alternating polar decomposition method for low rank orthogonal tensor approximations. - Shenglong Hu; Ke Ye (Math. Program., 2023)

A DCA-Newton method for quartic minimization over the sphere. - Shenglong Hu; Yong Wang; Jinling Zhou (Adv. Comput. Math., 2023)

Dual temporal memory network with high-order spatio-temporal graph learning for video object segmentation. - Jiaqing Fan; Shenglong Hu; Long Wang; Kaihua Zhang 001; Bo Liu 005 (Image Vis. Comput., 2024)

A Low-Rank Tensor Completion Method via Strassen-Ottaviani Flattening. - Tiantian He; Shenglong Hu; Zheng-Hai Huang (SIAM J. Imaging Sci., 2024)

Quadratic Growth and Linear Convergence of a DCA Method for Quartic Minimization over the Sphere. - Shenglong Hu; Zhifang Yan (J. Optim. Theory Appl., 2024)

Learning Deep Frequency Degradation Prior for Remote Sensing Spatio-temporal Fusion. - Yiting Bian; Shenglong Hu; Huihui Song; Kaihua Zhang 001 (ICASSP, 2025)

Continuously Learning Video-level Object Tokens for Robust UAV tracking. - Bin Chen; Shenglong Hu; Gang Dong; Lingyan Liang; Dongchao Wen; Kaihua Zhang 001 (ICASSP, 2025)

Learning Joint Appearance and Shape Co-Representations for Co-Saliency Detection. - Guanting Guo; Shenglong Hu; Huihui Song; Kaihua Zhang 001 (ICASSP, 2025)

Open-Vocabulary Saliency-Guided Progressive Refinement Network for Unsupervised Video Object Segmentation. - Zhidong Han; Shenglong Hu; Huihui Song; Kaihua Zhang 001 (ICASSP, 2025)

Spatio-Semantic Prompt guided Adaptive Segment Anything for Remote Sensing Change Detection. - Shenglong Hu; Zhidong Han; Gang Dong; Lingyan Liang; Dongchao Wen; Kaihua Zhang 001 (ICASSP, 2025)

Group-wise Semantic-enhanced Interaction Network for Remote Sensing Spatio-Temporal Fusion. - Baoluo Zhu; Shenglong Hu; Huihui Song; Kaihua Zhang 001 (ICASSP, 2025)

Quantifying low rank approximations of third order symmetric tensors. - Shenglong Hu; Defeng Sun; Kim-Chuan Toh (Math. Program., 2025)