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2020 – today
- 2024
[j34]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): 122171 (2024)- [j33]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): 2448-2463 (2024) - [i7]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 abs/2407.11292 (2024) - 2023
- [j32]Yun Zhu, Chengjian Gong, Shuwen Liu, Zhiyue Yu, Hanzeng Shao, Gaohang Yu:
Infrared object detection via patch-tensor model and image denoising based on weighted truncated Schatten- p norm minimization. IET Image Process. 17(6): 1762-1774 (2023) - [j31]Wandi Dong, Gaohang Yu, Liqun Qi, Xiaohao Cai:
Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors. J. Sci. Comput. 95(2): 52 (2023) - [j30]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: 110412 (2023) - [c2]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: 96-101 - [i6]Wandi Dong, Gaohang Yu, Liqun Qi, Xiaohao Cai:
Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors. CoRR abs/2301.11598 (2023) - [i5]Gaohang Yu, Jinhong Feng, Zhongming Chen, Xiaohao Cai, Liqun Qi:
A Randomized Block Krylov Method for Tensor Train Approximation. CoRR abs/2308.01480 (2023) - [i4]Zhongming Chen, Huilin Jiang, Gaohang Yu, Liqun Qi:
Low-rank Tensor Train Decomposition Using TensorSketch. CoRR abs/2309.08093 (2023) - 2022
- [j29]Wenyu Hu, Xuefang Zhu, Tinghua Wang, Yun Yi, Gaohang Yu:
Discrete subspace structure constrained human motion capture data recovery. Appl. Soft Comput. 129: 109617 (2022) - [j28]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): 33171-33184 (2022) - [i3]Gaohang Yu, Shaochun Wan, Liqun Qi, Yanwei Xu:
Multi-mode Tensor Train Factorization with Spatial-spectral Regularization for Remote Sensing Images Recovery. CoRR abs/2205.03380 (2022) - 2021
- [j27]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): 883-913 (2021) - [j26]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): 1753-1768 (2021) - [i2]Liqun Qi, Gaohang Yu:
T-Singular Values and T-Sketching for Third Order Tensors. CoRR abs/2103.00976 (2021) - 2020
- [j25]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: 106345 (2020) - [j24]Wenyu Hu, Shenghao Li, Weidong Zheng, Yao Lu, Gaohang Yu:
Robust sequential subspace clustering via ℓ1-norm temporal graph. Neurocomputing 383: 380-395 (2020) - [j23]Wenyu Hu, Shenghao Li, Jinhong Huang, Tinghua Wang, Gaohang Yu:
Computing the nearest polynomial to multiple given polynomials with a given zero via l2, q-norm minimization. Theor. Comput. Sci. 809: 394-406 (2020) - [i1]Chen Ling, Gaohang Yu, Liqun Qi, Yanwei Xu:
A Parallelizable Method for Missing Internet Traffic Tensor Data. CoRR abs/2005.09838 (2020)
2010 – 2019
- 2019
- [j22]Jinhong Huang, Genjiao Zhou, Gaohang Yu:
Orthogonal tensor dictionary learning for accelerated dynamic MRI. Medical Biol. Eng. Comput. 57(9): 1933-1946 (2019) - [j21]Gaohang Yu, Yisheng Song, Yi Xu, Zefeng Yu:
Spectral projected gradient methods for generalized tensor eigenvalue complementarity problems. Numer. Algorithms 80(4): 1181-1201 (2019) - [j20]Wenyu Hu, Weidong Zheng, Gaohang Yu:
A Unified Proximity Algorithm with Adaptive Penalty for Nuclear Norm Minimization. Symmetry 11(10): 1277 (2019) - 2018
- [j19]Duanmei Zhou, Guoliang Chen, Gaohang Yu, Jian Zhong:
On the projection-based commuting solutions of the Yang-Baxter matrix equation. Appl. Math. Lett. 79: 155-161 (2018) - [j18]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: 167-182 (2018) - [j17]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): 258-262 (2018) - 2016
- [j16]Gaohang Yu, Zefeng Yu, Yi Xu, Yisheng Song, Yi Zhou:
An adaptive gradient method for computing generalized tensor eigenpairs. Comput. Optim. Appl. 65(3): 781-797 (2016) - [j15]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: 143-160 (2016) - [j14]Yisheng Song, Gaohang Yu:
Properties of Solution Set of Tensor Complementarity Problem. J. Optim. Theory Appl. 170(1): 85-96 (2016) - 2015
- [j13]Yun Zhu, Jian Wu, Gaohang Yu:
A fast proximal point algorithm for ℓ1-minimization problem in compressed sensing. Appl. Math. Comput. 270: 777-784 (2015) - 2014
- [j12]Gaohang Yu, Wei Xue, Yi Zhou:
A nonmonotone adaptive projected gradient method for primal-dual total variation image restoration. Signal Process. 103: 242-249 (2014) - 2013
- [j11]Liqun Qi, Gaohang Yu, Yi Xu:
Nonnegative Diffusion Orientation Distribution Function. J. Math. Imaging Vis. 45(2): 103-113 (2013) - [j10]Guoyin Li, Liqun Qi, Gaohang Yu:
The Z-eigenvalues of a symmetric tensor and its application to spectral hypergraph theory. Numer. Linear Algebra Appl. 20(6): 1001-1029 (2013) - 2012
- [c1]Yuanying Qiu, Wei Xue, Gaohang Yu:
A Projected Conjugate Gradient Method for Compressive Sensing. IScIDE 2012: 398-406 - 2010
- [j9]Gaohang Yu, Jinhong Huang, Yi Zhou:
A descent spectral conjugate gradient method for impulse noise removal. Appl. Math. Lett. 23(5): 555-560 (2010) - [j8]Liqun Qi, Gaohang Yu, Ed X. Wu:
Higher Order Positive Semidefinite Diffusion Tensor Imaging. SIAM J. Imaging Sci. 3(3): 416-433 (2010) - [j7]Gaohang Yu, Liqun Qi, Yimin Sun, Yi Zhou:
Impulse noise removal by a nonmonotone adaptive gradient method. Signal Process. 90(10): 2891-2897 (2010)
2000 – 2009
- 2009
- [j6]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): 3082-3090 (2009) - [j5]Gaohang Yu, Liqun Qi, Yu-Hong Dai:
On Nonmonotone Chambolle Gradient Projection Algorithms for Total Variation Image Restoration. J. Math. Imaging Vis. 35(2): 143-154 (2009) - 2008
- [j4]Le Han, Gaohang Yu, Lutai Guan:
Multivariate spectral gradient method for unconstrained optimization. Appl. Math. Comput. 201(1-2): 621-630 (2008) - [j3]Gaohang Yu, Lutai Guan, Wufan Chen:
Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization. Optim. Methods Softw. 23(2): 275-293 (2008) - 2007
- [j2]Gaohang Yu, Yanlin Zhao, Zengxin Wei:
A descent nonlinear conjugate gradient method for large-scale unconstrained optimization. Appl. Math. Comput. 187(2): 636-643 (2007) - 2004
- [j1]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): 315-332 (2004)
Coauthor Index
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