Gaohang Yu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 29

Top Topics

Gradient Method

Singular Values

Norm Minimization

Top Venues

Comput. Optim. Appl.

Appl. Math. Lett.

Publications

Guanghua He, Wangang Cheng, Hancan Zhu, Gaohang Yu
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors. CoRR (2024)
Laishui Lv, Ting Zhang, Peng Hu, Dalal Bardou, Shanzhou Niu, Zijun Zheng, Gaohang Yu, Heng Wu
An improved gravity centrality for finding important nodes in multi-layer networks based on multi-PageRank. Expert Syst. Appl. 238 (Part E) (2024)
Laishui Lv, Peng Hu, Zijun Zheng, Dalal Bardou, Ting Zhang, Heng Wu, Shanzhou Niu, Gaohang Yu
A Community-Based Centrality Measure for Identifying Key Nodes in Multilayer Networks. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Wandi Dong, Gaohang Yu, Liqun Qi, Xiaohao Cai
Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors. CoRR (2023)
Zhongming Chen, Huilin Jiang, Gaohang Yu, Liqun Qi
Low-rank Tensor Train Decomposition Using TensorSketch. CoRR (2023)
Zijun Zheng, Heng Wu, Laishui Lv, Hailiang Ye, Changchun Zhang, Gaohang Yu
ICCL: Independent and Correlative Correspondence Learning for few-shot image classification. Knowl. Based Syst. 266 (2023)
Yun Zhu, Chengjian Gong, Shuwen Liu, Zhiyue Yu, Hanzeng Shao, Gaohang Yu
norm minimization. IET Image Process. 17 (6) (2023)
Gaohang Yu, Jinhong Feng, Zhongming Chen, Xiaohao Cai, Liqun Qi
A Randomized Block Krylov Method for Tensor Train Approximation. CoRR (2023)
Wandi Dong, Gaohang Yu, Liqun Qi, Xiaohao Cai
Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors. J. Sci. Comput. 95 (2) (2023)
Xueyu Wei, Wei Xue, Wei Zhao, Yuanxia Shen, Gaohang Yu
Joint Action Representation and Prioritized Experience Replay for Reinforcement Learning in Large Discrete Action Spaces. ICMLSC (2023)
Yun Zhu, Weiye Wang, Gaohang Yu, Jun Wang, Lei Tang
A Bayesian robust CP decomposition approach for missing traffic data imputation. Multim. Tools Appl. 81 (23) (2022)
Gaohang Yu, Shaochun Wan, Liqun Qi, Yanwei Xu
Multi-mode Tensor Train Factorization with Spatial-spectral Regularization for Remote Sensing Images Recovery. CoRR (2022)
Wenyu Hu, Xuefang Zhu, Tinghua Wang, Yun Yi, Gaohang Yu
Discrete subspace structure constrained human motion capture data recovery. Appl. Soft Comput. 129 (2022)
Liqun Qi, Gaohang Yu
T-Singular Values and T-Sketching for Third Order Tensors. CoRR (2021)
Wei Xue, Ping Zhong, Wensheng Zhang, Gaohang Yu, Yebin Chen
Sample-based online learning for bi-regular hinge loss. Int. J. Mach. Learn. Cybern. 12 (6) (2021)
Chen Ling, Gaohang Yu, Liqun Qi, Yanwei Xu
T-product factorization method for internet traffic data completion with spatio-temporal regularization. Comput. Optim. Appl. 80 (3) (2021)
Chen Ling, Gaohang Yu, Liqun Qi, Yanwei Xu
A Parallelizable Method for Missing Internet Traffic Tensor Data. CoRR (2020)
Wenyu Hu, Shenghao Li, Weidong Zheng, Yao Lu, Gaohang Yu
-norm temporal graph. Neurocomputing 383 (2020)
Wenyu Hu, Shenghao Li, Jinhong Huang, Tinghua Wang, Gaohang Yu
-norm minimization. Theor. Comput. Sci. 809 (2020)
Wenyu Hu, Zhihui Tu, Gaohang Yu
The nearest polynomial to multiple given polynomials with a given zero: A unified optimization approach. Appl. Math. Lett. 105 (2020)
Jinhong Huang, Genjiao Zhou, Gaohang Yu
Orthogonal tensor dictionary learning for accelerated dynamic MRI. Medical Biol. Eng. Comput. 57 (9) (2019)
Wenyu Hu, Weidong Zheng, Gaohang Yu
A Unified Proximity Algorithm with Adaptive Penalty for Nuclear Norm Minimization. Symmetry 11 (10) (2019)
Gaohang Yu, Yisheng Song, Yi Xu, Zefeng Yu
Spectral projected gradient methods for generalized tensor eigenvalue complementarity problems. Numer. Algorithms 80 (4) (2019)
Wenyu Hu, Zhao Wang, Shuang Liu, Xiaosong Yang, Gaohang Yu, Jian-Jun Zhang
Motion Capture Data Completion via Truncated Nuclear Norm Regularization. IEEE Signal Process. Lett. 25 (2) (2018)
Shanzhou Niu, You Zhang, Yuncheng Zhong, Guoliang Liu, Shaohui Lu, Xile Zhang, Shengzhou Hu, Tinghua Wang, Gaohang Yu, Jing Wang
Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation. Comput. Biol. Medicine 103 (2018)
Duanmei Zhou, Guoliang Chen, Gaohang Yu, Jian Zhong
On the projection-based commuting solutions of the Yang-Baxter matrix equation. Appl. Math. Lett. 79 (2018)
Yisheng Song, Gaohang Yu
Properties of Solution Set of Tensor Complementarity Problem. J. Optim. Theory Appl. 170 (1) (2016)
Shanzhou Niu, Shanli Zhang, Jing Huang, Zhaoying Bian, Wufan Chen, Gaohang Yu, Zhengrong Liang, Jianhua Ma
Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations. Neurocomputing 197 (2016)
Gaohang Yu, Zefeng Yu, Yi Xu, Yisheng Song, Yi Zhou
An adaptive gradient method for computing generalized tensor eigenpairs. Comput. Optim. Appl. 65 (3) (2016)
Yun Zhu, Jian Wu, Gaohang Yu
-minimization problem in compressed sensing. Appl. Math. Comput. 270 (2015)
Gaohang Yu, Wei Xue, Yi Zhou
A nonmonotone adaptive projected gradient method for primal-dual total variation image restoration. Signal Process. 103 (2014)
Guoyin Li, Liqun Qi, Gaohang Yu
-eigenvalues of a symmetric tensor and its application to spectral hypergraph theory. Numer. Linear Algebra Appl. 20 (6) (2013)
Liqun Qi, Gaohang Yu, Yi Xu
Nonnegative Diffusion Orientation Distribution Function. J. Math. Imaging Vis. 45 (2) (2013)
Yuanying Qiu, Wei Xue, Gaohang Yu
A Projected Conjugate Gradient Method for Compressive Sensing. IScIDE (2012)
Gaohang Yu, Jinhong Huang, Yi Zhou
A descent spectral conjugate gradient method for impulse noise removal. Appl. Math. Lett. 23 (5) (2010)
Gaohang Yu, Liqun Qi, Yimin Sun, Yi Zhou
Impulse noise removal by a nonmonotone adaptive gradient method. Signal Process. 90 (10) (2010)
Liqun Qi, Gaohang Yu, Ed X. Wu
Higher Order Positive Semidefinite Diffusion Tensor Imaging. SIAM J. Imaging Sci. 3 (3) (2010)
Gaohang Yu, Liqun Qi, Yu-Hong Dai
On Nonmonotone Chambolle Gradient Projection Algorithms for Total Variation Image Restoration. J. Math. Imaging Vis. 35 (2) (2009)
Gaohang Yu, Lutai Guan, Zengxin Wei
Globally convergent Polak-Ribière-Polyak conjugate gradient methods under a modified Wolfe line search. Appl. Math. Comput. 215 (8) (2009)
Le Han, Gaohang Yu, Lutai Guan
Multivariate spectral gradient method for unconstrained optimization. Appl. Math. Comput. 201 (1-2) (2008)
Gaohang Yu, Lutai Guan, Wufan Chen
Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization. Optim. Methods Softw. 23 (2) (2008)
Gaohang Yu, Yanlin Zhao, Zengxin Wei
A descent nonlinear conjugate gradient method for large-scale unconstrained optimization. Appl. Math. Comput. 187 (2) (2007)
Zengxin Wei, Gaohang Yu, Gonglin Yuan, Zhigang Lian
The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization. Comput. Optim. Appl. 29 (3) (2004)