The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization. - Zengxin Wei; Gaohang Yu; Gonglin Yuan; Zhigang Lian (Comput. Optim. Appl., 2004)

A descent nonlinear conjugate gradient method for large-scale unconstrained optimization. - Gaohang Yu; Yanlin Zhao; Zengxin Wei (Appl. Math. Comput., 2007)

Multivariate spectral gradient method for unconstrained optimization. - Le Han; Gaohang Yu; Lutai Guan (Appl. Math. Comput., 2008)

Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization. - Gaohang Yu; Lutai Guan; Wufan Chen (Optim. Methods Softw., 2008)

Globally convergent Polak-Ribière-Polyak conjugate gradient methods under a modified Wolfe line search. - Gaohang Yu; Lutai Guan; Zengxin Wei (Appl. Math. Comput., 2009)

On Nonmonotone Chambolle Gradient Projection Algorithms for Total Variation Image Restoration. - Gaohang Yu; Liqun Qi 001; Yu-Hong Dai (J. Math. Imaging Vis., 2009)

A descent spectral conjugate gradient method for impulse noise removal. - Gaohang Yu; Jinhong Huang; Yi Zhou 005 (Appl. Math. Lett., 2010)

Higher Order Positive Semidefinite Diffusion Tensor Imaging. - Liqun Qi 001; Gaohang Yu; Ed X. Wu (SIAM J. Imaging Sci., 2010)

Impulse noise removal by a nonmonotone adaptive gradient method. - Gaohang Yu; Liqun Qi 001; Yimin Sun; Yi Zhou 005 (Signal Process., 2010)

A Projected Conjugate Gradient Method for Compressive Sensing. - Yuanying Qiu; Wei Xue; Gaohang Yu (IScIDE, 2012)

Nonnegative Diffusion Orientation Distribution Function. - Liqun Qi 001; Gaohang Yu; Yi Xu (J. Math. Imaging Vis., 2013)

The Z-eigenvalues of a symmetric tensor and its application to spectral hypergraph theory. - Guoyin Li 001; Liqun Qi 001; Gaohang Yu (Numer. Linear Algebra Appl., 2013)

A nonmonotone adaptive projected gradient method for primal-dual total variation image restoration. - Gaohang Yu; Wei Xue; Yi Zhou 005 (Signal Process., 2014)

A fast proximal point algorithm for ℓ1-minimization problem in compressed sensing. - Yun Zhu; Jian Wu; Gaohang Yu (Appl. Math. Comput., 2015)

An adaptive gradient method for computing generalized tensor eigenpairs. - Gaohang Yu; Zefeng Yu; Yi Xu; Yisheng Song 001; Yi Zhou 005 (Comput. Optim. Appl., 2016)

Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations. - Shanzhou Niu; Shanli Zhang; Jing Huang 018; Zhaoying Bian; Wufan Chen; Gaohang Yu; Zhengrong Liang; Jianhua Ma 001 (Neurocomputing, 2016)

Properties of Solution Set of Tensor Complementarity Problem. - Yisheng Song 001; Gaohang Yu (J. Optim. Theory Appl., 2016)

On the projection-based commuting solutions of the Yang-Baxter matrix equation. - Duanmei Zhou; Guoliang Chen 002; Gaohang Yu; Jian Zhong (Appl. Math. Lett., 2018)

Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation. - Shanzhou Niu; You Zhang 003; Yuncheng Zhong; Guoliang Liu; Shaohui Lu; Xile Zhang; Shengzhou Hu; Tinghua Wang; Gaohang Yu; Jing Wang 022 (Comput. Biol. Medicine, 2018)

Motion Capture Data Completion via Truncated Nuclear Norm Regularization. - Wenyu Hu; Zhao Wang; Shuang Liu 006; Xiaosong Yang; Gaohang Yu; Jian-Jun Zhang 001 (IEEE Signal Process. Lett., 2018)

Orthogonal tensor dictionary learning for accelerated dynamic MRI. - Jinhong Huang; Genjiao Zhou; Gaohang Yu (Medical Biol. Eng. Comput., 2019)

Spectral projected gradient methods for generalized tensor eigenvalue complementarity problems. - Gaohang Yu; Yisheng Song 001; Yi Xu; Zefeng Yu (Numer. Algorithms, 2019)

A Unified Proximity Algorithm with Adaptive Penalty for Nuclear Norm Minimization. - Wenyu Hu; Weidong Zheng; Gaohang Yu (Symmetry, 2019)

The nearest polynomial to multiple given polynomials with a given zero: A unified optimization approach. - Wenyu Hu; Zhihui Tu; Gaohang Yu (Appl. Math. Lett., 2020)

A Parallelizable Method for Missing Internet Traffic Tensor Data. - Chen Ling 001; Gaohang Yu; Liqun Qi 001; Yanwei Xu (CoRR, 2020)

Robust sequential subspace clustering via ℓ1-norm temporal graph. - Wenyu Hu; Shenghao Li; Weidong Zheng; Yao Lu 007; Gaohang Yu (Neurocomputing, 2020)

Computing the nearest polynomial to multiple given polynomials with a given zero via l2, q-norm minimization. - Wenyu Hu; Shenghao Li; Jinhong Huang; Tinghua Wang; Gaohang Yu (Theor. Comput. Sci., 2020)

T-product factorization method for internet traffic data completion with spatio-temporal regularization. - Chen Ling 001; Gaohang Yu; Liqun Qi 001; Yanwei Xu (Comput. Optim. Appl., 2021)

T-Singular Values and T-Sketching for Third Order Tensors. - Liqun Qi 001; Gaohang Yu (CoRR, 2021)

Sample-based online learning for bi-regular hinge loss. - Wei Xue; Ping Zhong 001; Wensheng Zhang; Gaohang Yu; Yebin Chen (Int. J. Mach. Learn. Cybern., 2021)

Discrete subspace structure constrained human motion capture data recovery. - Wenyu Hu; Xuefang Zhu; Tinghua Wang; Yun Yi; Gaohang Yu (Appl. Soft Comput., 2022)

Multi-mode Tensor Train Factorization with Spatial-spectral Regularization for Remote Sensing Images Recovery. - Gaohang Yu; Shaochun Wan; Liqun Qi 001; Yanwei Xu (CoRR, 2022)

A Bayesian robust CP decomposition approach for missing traffic data imputation. - Yun Zhu; Weiye Wang; Gaohang Yu; Jun Wang; Lei Tang (Multim. Tools Appl., 2022)

Joint Action Representation and Prioritized Experience Replay for Reinforcement Learning in Large Discrete Action Spaces. - Xueyu Wei; Wei Xue; Wei Zhao 023; Yuanxia Shen; Gaohang Yu (ICMLSC, 2023)

A Randomized Block Krylov Method for Tensor Train Approximation. - Gaohang Yu; Jinhong Feng; Zhongming Chen; Xiaohao Cai; Liqun Qi 001 (CoRR, 2023)

Low-rank Tensor Train Decomposition Using TensorSketch. - Zhongming Chen; Huilin Jiang; Gaohang Yu; Liqun Qi 001 (CoRR, 2023)

ICCL: Independent and Correlative Correspondence Learning for few-shot image classification. - Zijun Zheng; Heng Wu 004; Laishui Lv; Hailiang Ye; Changchun Zhang; Gaohang Yu (Knowl. Based Syst., 2023)

Infrared object detection via patch-tensor model and image denoising based on weighted truncated Schatten- p norm minimization. - Yun Zhu; Chengjian Gong; Shuwen Liu; Zhiyue Yu; Hanzeng Shao; Gaohang Yu (IET Image Process., 2023)

Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors. - Wandi Dong; Gaohang Yu; Liqun Qi 001; Xiaohao Cai (J. Sci. Comput., 2023)

An improved gravity centrality for finding important nodes in multi-layer networks based on multi-PageRank. - Laishui Lv; Ting Zhang; Peng Hu; Dalal Bardou; Shanzhou Niu; Zijun Zheng; Gaohang Yu; Heng Wu 004 (Expert Syst. Appl., 2024)

A Community-Based Centrality Measure for Identifying Key Nodes in Multilayer Networks. - Laishui Lv; Peng Hu; Zijun Zheng; Dalal Bardou; Ting Zhang; Heng Wu 004; Shanzhou Niu; Gaohang Yu (IEEE Trans. Comput. Soc. Syst., 2024)

LoRA-PT: Low-rank adapting UNETR for hippocampus segmentation using principal tensor singular values and vectors. - Guanghua He; Wangang Cheng; Hancan Zhu; Gaohang Yu (Artif. Intell. Medicine, 2025)

Bayesian Robust Tensor Decomposition Based on MCMC Algorithm for Traffic Data Completion. - Longsheng Huang; Yu Zhu; Hanzeng Shao; Lei Tang; Yun Zhu; Gaohang Yu (IET Signal Process., 2025)

SGE: Semantic-guided Generalization Enhancement for Few-Shot Learning. - Zijun Zheng; Yangyang Zhu; Heng Wu 004; Laishui Lv; Shanzhou Niu; Gaohang Yu (Knowl. Based Syst., 2025)

tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation. - Guanghua He; Wangang Cheng; Hancan Zhu; Xiaohao Cai; Gaohang Yu (CoRR, 2025)

Dara: distribution-aware representation alignment for semi-supervised domain adaptation in image classification. - Heng Wu 004; Zijun Zheng; Laishui Lv; Changchun Zhang; Dalal Bardou; Shanzhou Niu; Gaohang Yu (J. Supercomput., 2025)

MERGE: multimodal-enhanced representation and guided ensemble for pneumonia recognition in chest X-ray images. - Zijun Zheng; Heng Wu 004; Laishui Lv; Dalal Bardou; Shanzhou Niu; Gaohang Yu (J. Supercomput., 2025)

CLCFE: complementary loss coupling for feature-enhanced few-shot fine-grained visual recognition. - Heng Wu 004; Zijun Zheng; Laishui Lv; Changchun Zhang; Yifeng Xu; Dalal Bardou; Shanzhou Niu; Gaohang Yu (Appl. Intell., 2025)

Adaptive kernel subspace clustering with discrete group structure constraint. - Wenyu Hu; Shaoting Peng; Tinghua Wang; Gaohang Yu; Jialin Hua (Pattern Recognit., 2026)