Gaohang Yu

•August 2017 → up to now

Professor in the School of Sciences, Hangzhou Dianzi University

•November  2013 → August 2017

Professor in the School of Mathematics and Computer Sciences, Gannan Normal University

•July 2017 → August 2017

Research Fellow, Department of Applied Mathematics, The Hong Kong Polytechnic University

•January  2015 → January 2016

Visitor, Department of Applied Mathematics and Theoretical Physics, University of Cambridge

•December 2012 → March 2013

Research Fellow, Department of Applied Mathematics, The Hong Kong Polytechnic University

•January 2012 → April 2012

Research Fellow, Department of Applied Mathematics, The Hong Kong Polytechnic University

• Sept. 2009 → Oct. 2011

Research Fellow, Department of Applied Mathematics, The Hong Kong Polytechnic University

• Sept. 2008 → Aug. 2009

Postdoctoral Fellow, Department of Applied Mathematics, The Hong Kong Polytechnic University, Cooperation Professor: Liqun Qi

• Feb. 2009 → November 2013

Associate Professor in Jiangxi Key Laboratory of Numerical Simulation Technology, School of Mathematics and Computer Sciences, Gannan Normal University

• July 2007 → Jan. 2009

Lecturer in Department of Scientific Computation and Computer Applications, Sun Yat-Sen University (Zhongshan University)

Coordinating Editor of the international journal: Statastics,Optimization & Information Computing,  ISSN 2311-004X (print) ISSN 2310-5070 (online)

Editor Board of the international journal: Intelligent Automation & Soft Computing, ISSN: 1079-8587 (Print) ISSN: 2326-005X (Online)

Tensor data analysis, large-scale computational optimization with applications in machine learning, visual computing, imaging sciences,etc.

Main Grants

•“Adaptive Gradient Algorithms for Image Restoration and Large-scale Nonlinear Equations”, the National Natural Science Foundation of China, (No.10926029), January 2010- December 2010, total grant: RMB30,000.  PI

•“Fast Algorithms for Image Processing and High Order Diffusion Tensor Medical Imaging”, the National Natural Science Foundation of China, (No.11001060), 2011-2013, total grant:  RMB180,000.  PI

•“Spectral Theory of High Order Tensor, Visualization of Tensor Fields and Its Applications in MRI ”, the National Natural Science Foundation of China, (No.61262026), 2013-2016, total grant:  RMB470,000.  PI 

•“High Order Tensor: Analysis, Computation and Applications”, the New Century Excellent Talent Project of Ministry of Education of China, (No. NCET 13-0738), January 2014- December 2016, total grant: RMB500,000.  PI

•“Study on computing eigenvalue of structured tensor with applications in tensor data analysis”, the National Natural Science Foundation of China, (No.12071104), 2017-2020, total grant:  RMB400,000.  PI

•“Deep learning / Statistical learning for tensor data: optimizationmethods and applications”, the Natural Science Foundation of Zhejiang Province, (No. LD19A010002), 2019-2022, total grant: RMB450,000. PI 

•“Tensor networks optimization and adaptive accelerated momentum methods”, the National Natural Science Foundation of China, (No.12071104), 2021-2024, total grant:  RMB520,000.  PI 

L Lv, T Zhang, P Hu, D Bardou, S Niu, Z Zheng, G Yu, H Wu，An improved gravity centrality for finding important nodes in multi-layer networks based on multi-PageRank，Expert Systems with Applications 238, 122171，2024

G Yu, S Wan, C Ling, L Qi, Y Xu，Tensor Train Factorization with Spatio-temporal Smoothness for Streaming Low-rank Tensor Completion，Frontiers of Mathematics, 1-27，2024

J Feng, R Yan, G Yu, Z Chen，An Effective Randomized Algorithm for Hyperspectral Image Feature Extraction，Statistics, Optimization & Information Computing 12 (2), 530-546，2024

H Huang, S Peng, G Yu, J Huang, W Hu，Hyperspectral image restoration based on color superpixel segmentation，Statistics, Optimization & Information Computing 12 (1), 267-280，2024

Z Chen, H Jiang, G Yu, L Qi，Low-rank Tensor Train Decomposition Using TensorSketch，arXiv preprint arXiv:2309.08093，2023

G Yu, J Feng, Z Chen, X Cai, L Qi，A Randomized Block Krylov Method for Tensor Train Approximation，arXiv preprint arXiv:2308.01480，2023

L Lv, P Hu, Z Zheng, D Bardou, T Zhang, H Wu, S Niu, G Yu，A community-based centrality measure for identifying key nodes in multilayer networks，IEEE Transactions on Computational Social Systems，2023

L Qi, R Yan, Z Luo, H Yan, G Yu，Variable T-Product and Zero-Padding Tensor Completion with Applications，arXiv preprint arXiv:2305.07837，2023

W Dong, G Yu, L Qi, X Cai，Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors，Journal of Scientific Computing 95 (2), 52，2023

Z Zheng, H Wu, L Lv, H Ye, C Zhang, G Yu，ICCL: Independent and Correlative Correspondence Learning for few-shot image classification，Knowledge-Based Systems 266, 110412，2023

W Hu, X Zhu, T Wang, Y Yi, G Yu，Discrete subspace structure constrained human motion capture data recovery，Applied Soft Computing 129, 109617，2022

L Lv, D Bardou, P Hu, Y Liu, G Yu，Graph regularized nonnegative matrix factorization for link prediction in directed temporal networks using PageRank centrality，Chaos, Solitons & Fractals 159, 112107，2022

G Yu, S Wan, L Qi, Y Xu，Multi-mode Tensor Train Factorization with Spatial-spectral Regularization for Remote Sensing Images Recovery，arXiv preprint arXiv:2205.03380，2022

J Huang, S Wang, G Zhou, W Hu, G Yu，Evaluation on the generalization of a learned convolutional neural network for MRI reconstruction，Magnetic Resonance Imaging 87, 38-46，2022

C Ling, G Yu, L Qi, Y Xu，T-product factorization method for internet traffic data completion with spatio-temporal regularization，Computational Optimization and Applications 80, 883-9138，2021

W Xue, P Zhong, W Zhang, G Yu, Y Chen，Sample-based online learning for bi-regular hinge loss，International Journal of Machine Learning and Cybernetics 12, 1753-1768，2021

L Qi, G Yu，T-singular values and t-sketching for third order tensors，arXiv preprint arXiv:2103.00976，2021

G Yu, Y Zhou, L Lv，Accelerating Power Methods for Higher-order Markov Chains, arXiv:2003.00686，2020

G.Yu, Y.Song, Y.Xu, Z.Yu, Spectral projected gradient method for generalized tensor eigenvalue complementarity problem, Numerical Algorithms, 80(2019), 1181–1201.

W Hu, S Li, W Zheng, Y Lu, G Yu, Robust sequential subspace clustering via ℓ1-norm temporal graph, Neurocomputing 383, 380-395，2020  

W Hu, S Li, J Huang, T Wang, G Yu, Computing the nearest polynomial to multiple given polynomials with a given zero via l2, q-norm minimization, Theoretical Computer Science 809, 394-406,2020

J Huang, G Zhou, G Yu, Orthogonal tensor dictionary learning for accelerated dynamic MRI, Medical & Biological Engineering & Computing 57 (9), 1933-1946，2019

S Niu, Z Bian, D Zeng, G Yu, J Ma, J Wang, Total image constrained diffusion tensor for spectral computed tomography reconstruction, Applied Mathematical Modelling 68, 487-508，2019

Y Sun, G Yu,On strong controllability for planar affine nonlinear systems, International Journal of Robust and Nonlinear control 28 (6), 2668-2677，2018

S Niu, G Yu, J Ma, J Wang, Nonlocal low-rank and sparse matrix decomposition for spectral CT reconstruction, Inverse problems 34 (2), 024003，2018

W. Hu, Z. Wang, S. Liu, X. Yang, G. Yu, J. Zhang, Motion Capture Data Completion via Truncated Nuclear Norm Regularization, IEEE Signal Processing Letters, 25(2) 2018 258-262.

S. Niu, J. Huang, Z. Bian, D. Zeng, W. Chen, G. Yu, Z. Liang, and J. Ma, Iterative reconstruction for sparse-view X-ray CT using alpha-divergence constrained total generalized variation minimization, Journal of X-ray Science and Technology, 25 (2017) 673-688.

W. Hu, L. Lu, C. Yin, G Yu, A smoothing Newton method for tensor eigenvalue complementarity problems, Pacific Journal of Optimization, 13 (2017) 243-253.

G. Yu, Z Yu, Y Xu,Y.Song and Y Zhou, An adaptive gradient method for computing generalized tensor eigenpairs, Computational Optimization and Applications,65 (2016),781-797.

Y. Song and G. Yu, Properties of Solution Set of Tensor Complementarity Problem, Journal of Optimization Theory and Applications,170 (2016) 85-96.

S.Niu, S. Zhang, J. Huang, Z. Bian, W. Chen, G. Yu, Z. Liang, J. Ma，Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations, Neurocomputing, 197(2016), 143-160.

Y. Zhu, J. Wu, G. Yu, A fast proximal point algorithm for ℓ1-minimization problem in compressed sensing, Applied Mathematics and Computation, 270(2015), 777-784. ISSN 0096-3003,

G. Yu, W. Xue and Y. Zhou, A nonmonotone adaptive projected gradient method for primal-dual total variation image restoration, Signal Processing, 103 ( 2014)  242-249.

S.Niu, Y.Gao, Z.Bian, J.Huang, W.Chen, G.Yu, et al., Sparse-view X-ray CT Reconstruction via Total Generalized Variation Regularization,  Physics and Medical Biology, 59 (2014), 2997.

L. Qi, G. Yu, Y. Xu, Nonnegative diffusion orientation distribution function, Journal of Mathematical Imaging and Vision, 45 (2) 2013, 103-113.

G. Li, L. Qi, G. Yu, Semismoothness of the maximum eigenvalue function of a symmetric tensor and its application, Linear Algebra and Its Applications, 438 (2) 2013, 813-833.

G. Li, L. Qi, G. Yu, The Z-eigenvalues of a symmetric tensor and its application to spectral hypergraph theory, Numerical Linear Algebra with Applications, 2013.

L. Qi, G. Yu and X. Wu, Higher order positive semi-definite diffusion tensor imaging, SIAM Journal on Imaging Sciences, 3 (2010) 416-433.

G. Yu, L. Qi, Y. Sun and Y. Zhou, Impulse noise removal by a nonmonotone adaptive gradient method, Signal Processing, 90 (2010), 2891-2897.

G. Yu, Jinhong Huang and Yi Zhou, A descent spectral conjugate gradient method for impulse noise removal, Applied Mathematics Letters, 23 (2010), 555-560.

G. Yu, L. Qi and Y. Dai, On nonmonotone Chambolle gradient projection algorithms for total variation image restoration, Journal of Mathematical Imaging and Vision, 35 (2009) 143-154.

G. Yu, L. Guan and W. Chen, Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization, Optimization Methods and Software, 23 (2008) 275-293.

Main Grants

•“Adaptive Gradient Algorithms for Image Restoration and Large-scale Nonlinear Equations”, the National Natural Science Foundation of China, (No.10926029), January 2010- December 2010, total grant: RMB30,000.  PI

•“Fast Algorithms for Image Processing and High Order Diffusion Tensor Medical Imaging”, the National Natural Science Foundation of China, (No.11001060), 2011-2013, total grant:  RMB180,000.  PI

•“Spectral Theory of High Order Tensor, Visualization of Tensor Fields and Its Applications in MRI ”, the National Natural Science Foundation of China, (No.61262026), 2013-2016, total grant:  RMB470,000.  PI 

•“High Order Tensor: Analysis, Computation and Applications”, the New Century Excellent Talent Project of Ministry of Education of China, (No. NCET 13-0738), January 2014- December 2016, total grant: RMB500,000.  PI

•“Study on computing eigenvalue of structured tensor with applications in tensor data analysis”, the National Natural Science Foundation of China, (No.12071104), 2017-2020, total grant:  RMB400,000.  PI

•“Deep learning / Statistical learning for tensor data: optimizationmethods and applications”, the Natural Science Foundation of Zhejiang Province, (No. LD19A010002), 2019-2022, total grant: RMB450,000. PI 

•“Tensor networks optimization and adaptive accelerated momentum methods”, the National Natural Science Foundation of China, (No.12071104), 2021-2024, total grant:  RMB520,000.  PI