Gaohang Yu - RankMe

55 papers Journal 52Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive kernel subspace clustering with discrete group structure constraint. Pattern Recognit. Wenyu Hu, Shaoting Peng, Tinghua Wang, Gaohang Yu, Jialin Hua
2026	J	`jnl`	Low-rank tensor fitting: A novel approach for efficient tensor completion. Neurocomputing Wenyu Hu, Ruitao Deng, Zichang Zhang, Zhihui Tu, Gaohang Yu
2026	J	`jnl`	Multi-branch semantic alignment for few-shot image classification. Inf. Sci. Zijun Zheng, Heng Wu, Laishui Lv, Changchun Zhang, Hongcheng Guo, Shanzhou Niu, Gaohang Yu
2026	J	`jnl`	VLCA: Vision-language feature enhancement with cross-Attention learning for facial expression recognition. Expert Syst. Appl. Zijun Zheng, Heng Wu, Jiabao Wang, Laishui Lv, Dalal Bardou, Gaohang Yu
2025	J	`jnl`	Bayesian Robust Tensor Decomposition Based on MCMC Algorithm for Traffic Data Completion. IET Signal Process. Longsheng Huang, Yu Zhu, Hanzeng Shao, Lei Tang, Yun Zhu, Gaohang Yu
2025	J	`jnl`	CLCFE: complementary loss coupling for feature-enhanced few-shot fine-grained visual recognition. Appl. Intell. Heng Wu, Zijun Zheng, Laishui Lv, Changchun Zhang, Yifeng Xu, Dalal Bardou, Shanzhou Niu, Gaohang Yu
2025	J	`jnl`	Dara: distribution-aware representation alignment for semi-supervised domain adaptation in image classification. J. Supercomput. Heng Wu, Zijun Zheng, Laishui Lv, Changchun Zhang, Dalal Bardou, Shanzhou Niu, Gaohang Yu
2025	J	`jnl`	LoRA-PT: Low-rank adapting UNETR for hippocampus segmentation using principal tensor singular values and vectors. Artif. Intell. Medicine Guanghua He, Wangang Cheng, Hancan Zhu, Gaohang Yu
2025	J	`jnl`	MERGE: multimodal-enhanced representation and guided ensemble for pneumonia recognition in chest X-ray images. J. Supercomput. Zijun Zheng, Heng Wu, Laishui Lv, Dalal Bardou, Shanzhou Niu, Gaohang Yu
2025	J	`jnl`	SGE: Semantic-guided Generalization Enhancement for Few-Shot Learning. Knowl. Based Syst. Zijun Zheng, Yangyang Zhu, Heng Wu, Laishui Lv, Shanzhou Niu, Gaohang Yu
2025	—	`conf`	tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation. MICCAI (16) Guanghua He, Wangang Cheng, Hancan Zhu, Xiaohao Cai, Gaohang Yu
2025	J	`jnl`	tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation. CoRR Guanghua He, Wangang Cheng, Hancan Zhu, Xiaohao Cai, Gaohang Yu
2024	J	`jnl`	A Community-Based Centrality Measure for Identifying Key Nodes in Multilayer Networks. IEEE Trans. Comput. Soc. Syst. Laishui Lv, Peng Hu, Zijun Zheng, Dalal Bardou, Ting Zhang, Heng Wu, Shanzhou Niu, Gaohang Yu
2024	J	`jnl`	An improved gravity centrality for finding important nodes in multi-layer networks based on multi-PageRank. Expert Syst. Appl. Laishui Lv, Ting Zhang, Peng Hu, Dalal Bardou, Shanzhou Niu, Zijun Zheng, Gaohang Yu, Heng Wu
2024	J	`jnl`	LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and Vectors. CoRR Guanghua He, Wangang Cheng, Hancan Zhu, Gaohang Yu
2023	J	`jnl`	A Randomized Block Krylov Method for Tensor Train Approximation. CoRR Gaohang Yu, Jinhong Feng, Zhongming Chen, Xiaohao Cai, Liqun Qi
2023	J	`jnl`	ICCL: Independent and Correlative Correspondence Learning for few-shot image classification. Knowl. Based Syst. Zijun Zheng, Heng Wu, Laishui Lv, Hailiang Ye, Changchun Zhang, Gaohang Yu
2023	J	`jnl`	Infrared object detection via patch-tensor model and image denoising based on weighted truncated Schatten- IET Image Process. Yun Zhu, Chengjian Gong, Shuwen Liu, Zhiyue Yu, Hanzeng Shao, Gaohang Yu
2023	—	`conf`	Joint Action Representation and Prioritized Experience Replay for Reinforcement Learning in Large Discrete Action Spaces. ICMLSC Xueyu Wei, Wei Xue, Wei Zhao, Yuanxia Shen, Gaohang Yu
2023	J	`jnl`	Low-rank Tensor Train Decomposition Using TensorSketch. CoRR Zhongming Chen, Huilin Jiang, Gaohang Yu, Liqun Qi
2023	J	`jnl`	Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors. CoRR Wandi Dong, Gaohang Yu, Liqun Qi, Xiaohao Cai
2023	J	`jnl`	Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors. J. Sci. Comput. Wandi Dong, Gaohang Yu, Liqun Qi, Xiaohao Cai
2022	J	`jnl`	A Bayesian robust CP decomposition approach for missing traffic data imputation. Multim. Tools Appl. Yun Zhu, Weiye Wang, Gaohang Yu, Jun Wang, Lei Tang
2022	J	`jnl`	Discrete subspace structure constrained human motion capture data recovery. Appl. Soft Comput. Wenyu Hu, Xuefang Zhu, Tinghua Wang, Yun Yi, Gaohang Yu
2022	J	`jnl`	Multi-mode Tensor Train Factorization with Spatial-spectral Regularization for Remote Sensing Images Recovery. CoRR Gaohang Yu, Shaochun Wan, Liqun Qi, Yanwei Xu
2021	J	`jnl`	Sample-based online learning for bi-regular hinge loss. Int. J. Mach. Learn. Cybern. Wei Xue, Ping Zhong, Wensheng Zhang, Gaohang Yu, Yebin Chen
2021	J	`jnl`	T-Singular Values and T-Sketching for Third Order Tensors. CoRR Liqun Qi, Gaohang Yu
2021	J	`jnl`	T-product factorization method for internet traffic data completion with spatio-temporal regularization. Comput. Optim. Appl. Chen Ling, Gaohang Yu, Liqun Qi, Yanwei Xu
2020	J	`jnl`	A Parallelizable Method for Missing Internet Traffic Tensor Data. CoRR Chen Ling, Gaohang Yu, Liqun Qi, Yanwei Xu
2020	J	`jnl`	Computing the nearest polynomial to multiple given polynomials with a given zero via Theor. Comput. Sci. Wenyu Hu, Shenghao Li, Jinhong Huang, Tinghua Wang, Gaohang Yu
2020	J	`jnl`	Robust sequential subspace clustering via ℓ Neurocomputing Wenyu Hu, Shenghao Li, Weidong Zheng, Yao Lu, Gaohang Yu
2020	J	`jnl`	The nearest polynomial to multiple given polynomials with a given zero: A unified optimization approach. Appl. Math. Lett. Wenyu Hu, Zhihui Tu, Gaohang Yu
2019	J	`jnl`	A Unified Proximity Algorithm with Adaptive Penalty for Nuclear Norm Minimization. Symmetry Wenyu Hu, Weidong Zheng, Gaohang Yu
2019	J	`jnl`	Orthogonal tensor dictionary learning for accelerated dynamic MRI. Medical Biol. Eng. Comput. Jinhong Huang, Genjiao Zhou, Gaohang Yu
2019	J	`jnl`	Spectral projected gradient methods for generalized tensor eigenvalue complementarity problems. Numer. Algorithms Gaohang Yu, Yisheng Song, Yi Xu, Zefeng Yu
2018	J	`jnl`	Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation. Comput. Biol. Medicine Shanzhou Niu, You Zhang, Yuncheng Zhong, Guoliang Liu, Shaohui Lu, Xile Zhang, Shengzhou Hu, Tinghua Wang, Gaohang Yu, Jing Wang
2018	J	`jnl`	Motion Capture Data Completion via Truncated Nuclear Norm Regularization. IEEE Signal Process. Lett. Wenyu Hu, Zhao Wang, Shuang Liu, Xiaosong Yang, Gaohang Yu, Jian-Jun Zhang
2018	J	`jnl`	On the projection-based commuting solutions of the Yang-Baxter matrix equation. Appl. Math. Lett. Duanmei Zhou, Guoliang Chen, Gaohang Yu, Jian Zhong
2016	J	`jnl`	An adaptive gradient method for computing generalized tensor eigenpairs. Comput. Optim. Appl. Gaohang Yu, Zefeng Yu, Yi Xu, Yisheng Song, Yi Zhou
2016	J	`jnl`	Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations. Neurocomputing Shanzhou Niu, Shanli Zhang, Jing Huang, Zhaoying Bian, Wufan Chen, Gaohang Yu, Zhengrong Liang, Jianhua Ma
2016	J	`jnl`	Properties of Solution Set of Tensor Complementarity Problem. J. Optim. Theory Appl. Yisheng Song, Gaohang Yu
2015	J	`jnl`	A fast proximal point algorithm for ℓ Appl. Math. Comput. Yun Zhu, Jian Wu, Gaohang Yu
2014	J	`jnl`	A nonmonotone adaptive projected gradient method for primal-dual total variation image restoration. Signal Process. Gaohang Yu, Wei Xue, Yi Zhou
2013	J	`jnl`	Nonnegative Diffusion Orientation Distribution Function. J. Math. Imaging Vis. Liqun Qi, Gaohang Yu, Yi Xu
2013	J	`jnl`	The Numer. Linear Algebra Appl. Guoyin Li, Liqun Qi, Gaohang Yu
2012	—	`conf`	A Projected Conjugate Gradient Method for Compressive Sensing. IScIDE Yuanying Qiu, Wei Xue, Gaohang Yu
2010	J	`jnl`	A descent spectral conjugate gradient method for impulse noise removal. Appl. Math. Lett. Gaohang Yu, Jinhong Huang, Yi Zhou
2010	J	`jnl`	Higher Order Positive Semidefinite Diffusion Tensor Imaging. SIAM J. Imaging Sci. Liqun Qi, Gaohang Yu, Ed X. Wu
2010	J	`jnl`	Impulse noise removal by a nonmonotone adaptive gradient method. Signal Process. Gaohang Yu, Liqun Qi, Yimin Sun, Yi Zhou
2009	J	`jnl`	Globally convergent Polak-Ribière-Polyak conjugate gradient methods under a modified Wolfe line search. Appl. Math. Comput. Gaohang Yu, Lutai Guan, Zengxin Wei
2009	J	`jnl`	On Nonmonotone Chambolle Gradient Projection Algorithms for Total Variation Image Restoration. J. Math. Imaging Vis. Gaohang Yu, Liqun Qi, Yu-Hong Dai
2008	J	`jnl`	Multivariate spectral gradient method for unconstrained optimization. Appl. Math. Comput. Le Han, Gaohang Yu, Lutai Guan
2008	J	`jnl`	Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization. Optim. Methods Softw. Gaohang Yu, Lutai Guan, Wufan Chen
2007	J	`jnl`	A descent nonlinear conjugate gradient method for large-scale unconstrained optimization. Appl. Math. Comput. Gaohang Yu, Yanlin Zhao, Zengxin Wei
2004	J	`jnl`	The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization. Comput. Optim. Appl. Zengxin Wei, Gaohang Yu, Gonglin Yuan, Zhigang Lian